├── .bumpversion.cfg
├── .github
    └── workflows
    │   └── test.yml
├── .gitignore
├── .travis.yml
├── Joyplot.ipynb
├── LICENSE
├── MANIFEST.in
├── README.md
├── build_and_publish.sh
├── data
    ├── CFR.csv
    ├── Players.csv
    ├── Seasons_Stats.csv
    ├── daily_temp.csv
    └── iris.csv
├── joypy
    ├── __init__.py
    └── joyplot.py
├── setup.py
├── temperatures.png
└── tests
    └── test_joyplot.py


/.bumpversion.cfg:
--------------------------------------------------------------------------------
 1 | [bumpversion]
 2 | commit = True
 3 | tag = True
 4 | current_version = 0.2.6
 5 | parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)
 6 | serialize = {major}.{minor}.{patch}
 7 | 
 8 | [bumpversion:file:setup.py]
 9 | 
10 | [bumpversion:file:joypy/__init__.py]
11 | 


--------------------------------------------------------------------------------
/.github/workflows/test.yml:
--------------------------------------------------------------------------------
 1 | # This workflow will install Python dependencies, run tests and lint with a single version of Python
 2 | # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
 3 | 
 4 | name: tests
 5 | 
 6 | on:
 7 |   push:
 8 |     branches: [ master ]
 9 |   pull_request:
10 |     branches: [ master ]
11 | 
12 | jobs:
13 |   test:
14 |     runs-on: ubuntu-latest
15 |     strategy:
16 |       matrix:
17 |         python-version: ['3.6', '3.7', '3.8', '3.9', '3.10']
18 |     steps:
19 |     - uses: actions/checkout@v2
20 |     - name: Set up Python ${{ matrix.python-version }}
21 |       uses: actions/setup-python@v2
22 |       with:
23 |         python-version: ${{ matrix.python-version }}
24 |     - name: Install pytest
25 |       run: |
26 |         python -m pip install --upgrade pip
27 |         pip install pytest    
28 |     - name: Install joypy
29 |       run: |
30 |         pip install .
31 |     - name: Test with pytest
32 |       run: |
33 |         pytest
34 | 


--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
  1 | # Byte-compiled / optimized / DLL files
  2 | __pycache__/
  3 | *.py[cod]
  4 | *$py.class
  5 | 
  6 | # C extensions
  7 | *.so
  8 | 
  9 | # Distribution / packaging
 10 | .Python
 11 | env/
 12 | build/
 13 | develop-eggs/
 14 | dist/
 15 | downloads/
 16 | eggs/
 17 | .eggs/
 18 | lib/
 19 | lib64/
 20 | parts/
 21 | sdist/
 22 | var/
 23 | wheels/
 24 | *.egg-info/
 25 | .installed.cfg
 26 | *.egg
 27 | 
 28 | # PyInstaller
 29 | #  Usually these files are written by a python script from a template
 30 | #  before PyInstaller builds the exe, so as to inject date/other infos into it.
 31 | *.manifest
 32 | *.spec
 33 | 
 34 | # Installer logs
 35 | pip-log.txt
 36 | pip-delete-this-directory.txt
 37 | 
 38 | # Unit test / coverage reports
 39 | htmlcov/
 40 | .tox/
 41 | .coverage
 42 | .coverage.*
 43 | .cache
 44 | nosetests.xml
 45 | coverage.xml
 46 | *.cover
 47 | .hypothesis/
 48 | 
 49 | # Translations
 50 | *.mo
 51 | *.pot
 52 | 
 53 | # Django stuff:
 54 | *.log
 55 | local_settings.py
 56 | 
 57 | # Flask stuff:
 58 | instance/
 59 | .webassets-cache
 60 | 
 61 | # Scrapy stuff:
 62 | .scrapy
 63 | 
 64 | # Sphinx documentation
 65 | docs/_build/
 66 | 
 67 | # PyBuilder
 68 | target/
 69 | 
 70 | # Jupyter Notebook
 71 | .ipynb_checkpoints
 72 | 
 73 | # pyenv
 74 | .python-version
 75 | 
 76 | # celery beat schedule file
 77 | celerybeat-schedule
 78 | 
 79 | # SageMath parsed files
 80 | *.sage.py
 81 | 
 82 | # dotenv
 83 | .env
 84 | 
 85 | # virtualenv
 86 | .venv
 87 | venv/
 88 | ENV/
 89 | 
 90 | # Spyder project settings
 91 | .spyderproject
 92 | .spyproject
 93 | 
 94 | # Rope project settings
 95 | .ropeproject
 96 | 
 97 | # mkdocs documentation
 98 | /site
 99 | 
100 | # mypy
101 | .mypy_cache/
102 | 


--------------------------------------------------------------------------------
/.travis.yml:
--------------------------------------------------------------------------------
 1 | language: python
 2 | python:
 3 |   - "3.5"
 4 |   - "3.6"
 5 |   - "3.7"
 6 |   - "3.8"
 7 |   - "3.9"
 8 | install:
 9 |   - pip install .
10 | script:
11 |   - pytest
12 | os:
13 |     - linux
14 | 


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2017 Leonardo Taccari
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/MANIFEST.in:
--------------------------------------------------------------------------------
1 | include README.md
2 | include LICENSE
3 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # JoyPy
 2 | 
 3 | [![PyPI version](https://badge.fury.io/py/joypy.svg)](https://badge.fury.io/py/joypy) [![python version](https://img.shields.io/badge/python-3.5+-blue.svg)](https://www.python.org/download/releases/3.5.0/)  ![build status](https://github.com/leotac/joypy/actions/workflows/test.yml/badge.svg) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Downloads](https://pepy.tech/badge/joypy)](https://pepy.tech/project/joypy)
 4 | 
 5 | 
 6 | JoyPy is a one-function Python package based on matplotlib + pandas with a single purpose: drawing joyplots (a.k.a. ridgeline plots).
 7 | 
 8 | <img src="temperatures.png" width="600" alt="A joyplot.">
 9 | 
10 | The code for JoyPy borrows from the code for kdes in `pandas.plotting`, and uses a couple
11 | of utility functions therein.
12 | 
13 | What are joyplots?
14 | ---
15 | Joyplots are stacked, partially overlapping density plots, simple as that. They are a nice way to plot data
16 | to visually compare distributions, especially those that change across one dimension (e.g., over time).
17 | Though hardly a new technique, they have become very popular lately thanks to the R package [ggjoy](https://github.com/clauswilke/ggjoy) 
18 | (which is much better developed/maintained than this one -- and I strongly suggest you use that if you can use R and ggplot.)
19 | **Update**: the ggjoy package has now been renamed [ggridges](https://github.com/clauswilke/ggridges).
20 | 
21 | Why are they called joyplots?
22 | ---
23 | If you don't know Joy Division, you are lucky: you can still listen to them for the first time!
24 | Here's a hint: google ["Unknown Pleasures"](https://www.youtube.com/watch?v=fhCLalLXHP4).
25 | This kind of plot is now also known as *ridgeline plot*, since the original name is controversial. 
26 | 
27 | Documentation and examples
28 | --------
29 | 
30 | JoyPy has no real documentation.
31 | You're strongly encouraged to take a look at this [jupyter notebook](Joyplot.ipynb) with a growing number of examples.
32 | Similarly, github issues may contain some wisdom :-)
33 | 
34 | A minimal example is the following:
35 | ```python
36 | import joypy
37 | import pandas as pd
38 | 
39 | iris = pd.read_csv("data/iris.csv")
40 | fig, axes = joypy.joyplot(iris)
41 | ```
42 | 
43 | By default, `joypy.joyplot()` will draw joyplot with a density subplot for each numeric column in the dataframe. The density is obtained with the `gaussian_kde` function of scipy.
44 | 
45 | Note: `joyplot()` returns n+1 axes, where n is the number of visible rows (subplots).
46 | Each subplot has its own axis, while the last axis (`axes[-1]`) is the one that is used for things such as plotting the background or changing xticks, and is the one you might need to play with in case you want to manually tweak something.
47 | 
48 | 
49 | Dependencies
50 | ------------
51 | 
52 | - Python 3.5+  
53 | Compatibility with python 2.7 has been dropped with release 0.2.0.
54 | 
55 | - [numpy](http://www.numpy.org/)
56 | - [scipy](http://www.scipy.org/) >= 0.11
57 | - [matplotlib](http://matplotlib.org/)
58 | - [pandas](http://pandas.pydata.org/) >= 0.20  **Warning**: compatibility with pandas >= 0.25 requires joypy >= 0.2.1
59 | 
60 | 
61 | Not sure what are the oldest supported versions. 
62 | As long as you have somewhat recent versions, you should be fine.
63 | 
64 | Installation
65 | ------
66 | 
67 | It's actually on PyPI, because why not:
68 |     
69 |     pip install joypy
70 | 
71 | To install from github, run:
72 | 
73 |     git clone git@github.com:leotac/joypy.git
74 |     cd joypy
75 |     pip install .
76 | 
77 | License
78 | -------
79 | 
80 | Released under the MIT license.
81 | 
82 | Disclaimer + contributing
83 | -----
84 | 
85 | This is just a sunday afternoon hack, so no guarantees! If you want to contribute or just copy/fork, feel free to. 
86 | 


--------------------------------------------------------------------------------
/build_and_publish.sh:
--------------------------------------------------------------------------------
 1 | #!/bin/bash
 2 | 
 3 | set -e
 4 | rm -rf dist
 5 | bumpversion patch #major minor patch - bump version in all files
 6 | 
 7 | python setup.py sdist bdist_wheel --universal
 8 | twine upload dist/**tar.gz dist/**whl
 9 | rm -rf dist
10 | 


--------------------------------------------------------------------------------
/data/CFR.csv:
--------------------------------------------------------------------------------
   1 | date,G,ratio
   2 | 2021-07-01,0,0.016220294228592985
   3 | 2021-07-01,1,0.02550010991426687
   4 | 2021-07-01,2,0.05702436495593572
   5 | 2021-07-01,3,0.12469437652811735
   6 | 2021-07-01,4,0.021969080553295363
   7 | 2021-07-01,5,0.0009332711152589826
   8 | 2021-07-01,6,0.03268551236749116
   9 | 2021-07-01,7,0.0
  10 | 2021-07-01,8,0.01443620756925478
  11 | 2021-07-01,9,0.029411764705882356
  12 | 2021-07-01,10,0.01071630005640158
  13 | 2021-07-01,11,0.03230403800475059
  14 | 2021-07-01,12,0.17316017316017315
  15 | 2021-07-01,13,0.020891364902506964
  16 | 2021-07-01,14,0.013073882639100032
  17 | 2021-07-01,15,0.0
  18 | 2021-07-01,16,-0.12394366197183099
  19 | 2021-07-01,17,0.07649253731343283
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  21 | 2021-07-01,19,0.04081632653061224
  22 | 2021-07-01,20,0.046468401486988845
  23 | 2021-07-01,21,0.016284680337756336
  24 | 2021-07-01,22,0.0
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  26 | 2021-07-01,24,0.0
  27 | 2021-07-01,25,0.00042444821731748726
  28 | 2021-07-01,26,0.01056338028169014
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  30 | 2021-07-01,28,0.011749347258485641
  31 | 2021-07-01,29,0.042414355628058724
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  33 | 2021-07-02,1,0.02472647702407002
  34 | 2021-07-02,2,0.05522143247676326
  35 | 2021-07-02,3,0.23933649289099523
  36 | 2021-07-02,4,0.023717595146166576
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 100 | 2021-07-04,8,0.015776699029126214
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 227 | 2021-07-08,15,0.0
 228 | 2021-07-08,16,-0.6461538461538461
 229 | 2021-07-08,17,0.057210965435041714
 230 | 2021-07-08,18,-0.0015226494099733535
 231 | 2021-07-08,19,0.04361370716510903
 232 | 2021-07-08,20,0.03337041156840934
 233 | 2021-07-08,21,0.007136739937196688
 234 | 2021-07-08,22,0.0
 235 | 2021-07-08,23,0.01116427432216906
 236 | 2021-07-08,24,0.0
 237 | 2021-07-08,25,0.0
 238 | 2021-07-08,26,0.00946372239747634
 239 | 2021-07-08,27,0.033623910336239106
 240 | 2021-07-08,28,0.00848356309650053
 241 | 2021-07-08,29,0.030201342281879193
 242 | 2021-07-09,0,0.011538876307559582
 243 | 2021-07-09,1,0.018581081081081082
 244 | 2021-07-09,2,0.03911845730027548
 245 | 2021-07-09,3,0.05079191698525397
 246 | 2021-07-09,4,0.019695044472681066
 247 | 2021-07-09,5,0.0007342558599265743
 248 | 2021-07-09,6,0.022988505747126436
 249 | 2021-07-09,7,0.0
 250 | 2021-07-09,8,0.014285714285714285
 251 | 2021-07-09,9,0.0033975084937712344
 252 | 2021-07-09,10,0.008663778740419861
 253 | 2021-07-09,11,0.028821410190427176
 254 | 2021-07-09,12,0.06363105662580268
 255 | 2021-07-09,13,0.02331002331002331
 256 | 2021-07-09,14,0.011323196376577159
 257 | 2021-07-09,15,0.0
 258 | 2021-07-09,16,-0.41666666666666663
 259 | 2021-07-09,17,0.05870020964360587
 260 | 2021-07-09,18,-0.0029795158286778397
 261 | 2021-07-09,19,0.03560830860534125
 262 | 2021-07-09,20,0.03225806451612903
 263 | 2021-07-09,21,0.007248396989127404
 264 | 2021-07-09,22,0.0
 265 | 2021-07-09,23,0.01080246913580247
 266 | 2021-07-09,24,0.0
 267 | 2021-07-09,25,0.0
 268 | 2021-07-09,26,0.008849557522123894
 269 | 2021-07-09,27,0.0359520639147803
 270 | 2021-07-09,28,0.009378663540445486
 271 | 2021-07-09,29,0.02912621359223301
 272 | 2021-07-10,0,0.01085810668353363
 273 | 2021-07-10,1,0.016666666666666666
 274 | 2021-07-10,2,0.0378657487091222
 275 | 2021-07-10,3,0.03554119547657512
 276 | 2021-07-10,4,0.01850499147796445
 277 | 2021-07-10,5,0.0007362519114232315
 278 | 2021-07-10,6,0.020717131474103583
 279 | 2021-07-10,7,0.0
 280 | 2021-07-10,8,0.01282051282051282
 281 | 2021-07-10,9,0.0032843067256889905
 282 | 2021-07-10,10,0.008103172791600092
 283 | 2021-07-10,11,0.032637774210807914
 284 | 2021-07-10,12,0.06294256490952006
 285 | 2021-07-10,13,0.024120603015075376
 286 | 2021-07-10,14,0.010029116790682626
 287 | 2021-07-10,15,0.0
 288 | 2021-07-10,16,-0.5027027027027028
 289 | 2021-07-10,17,0.05021834061135371
 290 | 2021-07-10,18,-0.0018804061677322303
 291 | 2021-07-10,19,0.036253776435045314
 292 | 2021-07-10,20,0.028465346534653466
 293 | 2021-07-10,21,0.0062482249360976995
 294 | 2021-07-10,22,0.0
 295 | 2021-07-10,23,0.010638297872340425
 296 | 2021-07-10,24,0.0
 297 | 2021-07-10,25,0.0
 298 | 2021-07-10,26,0.008438818565400843
 299 | 2021-07-10,27,0.03470437017994859
 300 | 2021-07-10,28,0.008928571428571428
 301 | 2021-07-10,29,0.0297723292469352
 302 | 2021-07-11,0,0.009409505520883342
 303 | 2021-07-11,1,0.015861027190332326
 304 | 2021-07-11,2,0.03544450900639163
 305 | 2021-07-11,3,0.029919042590637098
 306 | 2021-07-11,4,0.01712368390605114
 307 | 2021-07-11,5,0.0006837996467035158
 308 | 2021-07-11,6,0.02148760330578512
 309 | 2021-07-11,7,0.0
 310 | 2021-07-11,8,0.011857707509881422
 311 | 2021-07-11,9,0.003024629122857554
 312 | 2021-07-11,10,0.008214285714285714
 313 | 2021-07-11,11,0.033613445378151266
 314 | 2021-07-11,12,0.06060606060606061
 315 | 2021-07-11,13,0.019306930693069307
 316 | 2021-07-11,14,0.009058557101261728
 317 | 2021-07-11,15,0.0
 318 | 2021-07-11,16,-0.6962962962962963
 319 | 2021-07-11,17,0.048554913294797684
 320 | 2021-07-11,18,-0.0011411182959300114
 321 | 2021-07-11,19,0.035830618892508145
 322 | 2021-07-11,20,0.028465346534653466
 323 | 2021-07-11,21,0.006099331977926227
 324 | 2021-07-11,22,0.0
 325 | 2021-07-11,23,0.010447761194029851
 326 | 2021-07-11,24,0.0
 327 | 2021-07-11,25,0.0
 328 | 2021-07-11,26,0.006711409395973154
 329 | 2021-07-11,27,0.026954177897574125
 330 | 2021-07-11,28,0.00935672514619883
 331 | 2021-07-11,29,0.02952029520295203
 332 | 2021-07-12,0,0.009012803234501349
 333 | 2021-07-12,1,0.015044408192858438
 334 | 2021-07-12,2,0.03261390887290167
 335 | 2021-07-12,3,0.02860207365033965
 336 | 2021-07-12,4,0.015039447731755423
 337 | 2021-07-12,5,0.0007338828045613639
 338 | 2021-07-12,6,0.023140495867768597
 339 | 2021-07-12,7,0.0
 340 | 2021-07-12,8,0.012293507491356126
 341 | 2021-07-12,9,0.00282333960742135
 342 | 2021-07-12,10,0.007741027445460944
 343 | 2021-07-12,11,0.02700096432015429
 344 | 2021-07-12,12,0.06312476860422066
 345 | 2021-07-12,13,0.020313942751615882
 346 | 2021-07-12,14,0.009058557101261728
 347 | 2021-07-12,15,0.0
 348 | 2021-07-12,16,-0.29508196721311475
 349 | 2021-07-12,17,0.048554913294797684
 350 | 2021-07-12,18,-0.0009566326530612244
 351 | 2021-07-12,19,0.03216374269005848
 352 | 2021-07-12,20,0.02528977871443625
 353 | 2021-07-12,21,0.005187747035573122
 354 | 2021-07-12,22,0.0
 355 | 2021-07-12,23,0.01026392961876833
 356 | 2021-07-12,24,0.0
 357 | 2021-07-12,25,0.0
 358 | 2021-07-12,26,0.006570302233902759
 359 | 2021-07-12,27,0.026917900403768506
 360 | 2021-07-12,28,0.00935672514619883
 361 | 2021-07-12,29,0.026690391459074734
 362 | 2021-07-13,0,0.008291873963515753
 363 | 2021-07-13,1,0.014682747771368642
 364 | 2021-07-13,2,0.03419972640218878
 365 | 2021-07-13,3,0.025296689569019367
 366 | 2021-07-13,4,0.0159846547314578
 367 | 2021-07-13,5,0.0007477833564790087
 368 | 2021-07-13,6,0.009852216748768473
 369 | 2021-07-13,7,0.0
 370 | 2021-07-13,8,0.012281354670636397
 371 | 2021-07-13,9,0.002771545466543487
 372 | 2021-07-13,10,0.007283593239331403
 373 | 2021-07-13,11,0.02902621722846442
 374 | 2021-07-13,12,0.05987914301409998
 375 | 2021-07-13,13,0.020100502512562814
 376 | 2021-07-13,14,0.009382076997735361
 377 | 2021-07-13,15,0.0
 378 | 2021-07-13,16,-0.24930747922437674
 379 | 2021-07-13,17,0.04594330400782014
 380 | 2021-07-13,18,-0.000613685179502915
 381 | 2021-07-13,19,0.028645833333333336
 382 | 2021-07-13,20,0.026343519494204423
 383 | 2021-07-13,21,0.005474886931682933
 384 | 2021-07-13,22,0.0
 385 | 2021-07-13,23,0.009845288326300985
 386 | 2021-07-13,24,0.0
 387 | 2021-07-13,25,0.0
 388 | 2021-07-13,26,0.0049261083743842365
 389 | 2021-07-13,27,0.02702702702702703
 390 | 2021-07-13,28,0.00851063829787234
 391 | 2021-07-13,29,0.022222222222222223
 392 | 2021-07-14,0,0.008375333530981322
 393 | 2021-07-14,1,0.014978121844496803
 394 | 2021-07-14,2,0.03233364573570759
 395 | 2021-07-14,3,0.026253687315634218
 396 | 2021-07-14,4,0.01632926965663796
 397 | 2021-07-14,5,0.0007367257801399779
 398 | 2021-07-14,6,0.009995654063450673
 399 | 2021-07-14,7,0.0
 400 | 2021-07-14,8,0.010262601871415635
 401 | 2021-07-14,9,0.002595380223202699
 402 | 2021-07-14,10,0.0075146117450598385
 403 | 2021-07-14,11,0.02848242100578549
 404 | 2021-07-14,12,0.060249554367201426
 405 | 2021-07-14,13,0.018733273862622656
 406 | 2021-07-14,14,0.0059101654846335705
 407 | 2021-07-14,15,0.0
 408 | 2021-07-14,16,-0.22443890274314215
 409 | 2021-07-14,17,0.04329461457233369
 410 | 2021-07-14,18,-0.0017878426698450535
 411 | 2021-07-14,19,0.023752969121140142
 412 | 2021-07-14,20,0.029481132075471695
 413 | 2021-07-14,21,0.004327963452753066
 414 | 2021-07-14,22,0.0
 415 | 2021-07-14,23,0.008053691275167786
 416 | 2021-07-14,24,0.0
 417 | 2021-07-14,25,0.0
 418 | 2021-07-14,26,0.004624277456647398
 419 | 2021-07-14,27,0.026109660574412535
 420 | 2021-07-14,28,0.00788091068301226
 421 | 2021-07-14,29,0.0196078431372549
 422 | 2021-07-15,0,0.008102403486076121
 423 | 2021-07-15,1,0.013120455263989883
 424 | 2021-07-15,2,0.03007846556233653
 425 | 2021-07-15,3,0.028156996587030712
 426 | 2021-07-15,4,0.015054452274183215
 427 | 2021-07-15,5,0.0007806807536171541
 428 | 2021-07-15,6,0.010652463382157123
 429 | 2021-07-15,7,0.0
 430 | 2021-07-15,8,0.010443864229765013
 431 | 2021-07-15,9,0.0025693730729701952
 432 | 2021-07-15,10,0.007686191359660748
 433 | 2021-07-15,11,0.026923076923076925
 434 | 2021-07-15,12,0.059107358262967424
 435 | 2021-07-15,13,0.01680672268907563
 436 | 2021-07-15,14,0.006895193065405832
 437 | 2021-07-15,15,0.0
 438 | 2021-07-15,16,-0.18813905930470348
 439 | 2021-07-15,17,0.04395604395604395
 440 | 2021-07-15,18,-0.0017306028266512836
 441 | 2021-07-15,19,0.02660753880266075
 442 | 2021-07-15,20,0.024764150943396224
 443 | 2021-07-15,21,0.004871259568545581
 444 | 2021-07-15,22,0.0
 445 | 2021-07-15,23,0.007407407407407407
 446 | 2021-07-15,24,0.0
 447 | 2021-07-15,25,0.0
 448 | 2021-07-15,26,0.004282655246252676
 449 | 2021-07-15,27,0.024193548387096774
 450 | 2021-07-15,28,0.007311129163281885
 451 | 2021-07-15,29,0.01903367496339678
 452 | 2021-07-16,0,0.007407407407407408
 453 | 2021-07-16,1,0.012538699690402477
 454 | 2021-07-16,2,0.0290893760539629
 455 | 2021-07-16,3,0.02538339502908514
 456 | 2021-07-16,4,0.014408060453400503
 457 | 2021-07-16,5,0.000765814060346148
 458 | 2021-07-16,6,0.009865470852017937
 459 | 2021-07-16,7,0.0
 460 | 2021-07-16,8,0.009639217846323328
 461 | 2021-07-16,9,0.0024925224327018943
 462 | 2021-07-16,10,0.007871321013004792
 463 | 2021-07-16,11,0.016464891041162225
 464 | 2021-07-16,12,0.0577019568489714
 465 | 2021-07-16,13,0.015959252971137525
 466 | 2021-07-16,14,0.008532827684285376
 467 | 2021-07-16,15,0.0
 468 | 2021-07-16,16,-0.15409309791332262
 469 | 2021-07-16,17,0.04021937842778793
 470 | 2021-07-16,18,-0.002733734281027884
 471 | 2021-07-16,19,0.020876826722338204
 472 | 2021-07-16,20,0.023584905660377357
 473 | 2021-07-16,21,0.004879130627633622
 474 | 2021-07-16,22,0.0
 475 | 2021-07-16,23,0.006984866123399301
 476 | 2021-07-16,24,0.0
 477 | 2021-07-16,25,0.0
 478 | 2021-07-16,26,0.003980099502487562
 479 | 2021-07-16,27,0.03120567375886525
 480 | 2021-07-16,28,0.006818181818181819
 481 | 2021-07-16,29,0.01768707482993197
 482 | 2021-07-17,0,0.0061711079943899015
 483 | 2021-07-17,1,0.012250516173434273
 484 | 2021-07-17,2,0.027838190517616355
 485 | 2021-07-17,3,0.02106649111257406
 486 | 2021-07-17,4,0.014092720380989406
 487 | 2021-07-17,5,0.00046113644515038174
 488 | 2021-07-17,6,0.009140767824497256
 489 | 2021-07-17,7,0.0
 490 | 2021-07-17,8,0.0089213300892133
 491 | 2021-07-17,9,0.0024925224327018943
 492 | 2021-07-17,10,0.007349685645975383
 493 | 2021-07-17,11,0.016153457849570924
 494 | 2021-07-17,12,0.05602429969625379
 495 | 2021-07-17,13,0.016441359152356595
 496 | 2021-07-17,14,0.008295804693055226
 497 | 2021-07-17,15,0.0
 498 | 2021-07-17,16,-0.1643835616438356
 499 | 2021-07-17,17,0.03517110266159696
 500 | 2021-07-17,18,-0.004182933630786392
 501 | 2021-07-17,19,0.02178649237472767
 502 | 2021-07-17,20,0.02723146747352496
 503 | 2021-07-17,21,0.004762984803810388
 504 | 2021-07-17,22,0.0
 505 | 2021-07-17,23,0.006644518272425249
 506 | 2021-07-17,24,0.0
 507 | 2021-07-17,25,0.0
 508 | 2021-07-17,26,0.0036900369003690036
 509 | 2021-07-17,27,0.03202328966521106
 510 | 2021-07-17,28,0.005669737774627923
 511 | 2021-07-17,29,0.018284106891701825
 512 | 2021-07-18,0,0.005382243820870565
 513 | 2021-07-18,1,0.012054439403758912
 514 | 2021-07-18,2,0.02756439222774514
 515 | 2021-07-18,3,0.019877352505815186
 516 | 2021-07-18,4,0.011914813772398912
 517 | 2021-07-18,5,0.0004123498788722231
 518 | 2021-07-18,6,0.008907641819034223
 519 | 2021-07-18,7,0.0
 520 | 2021-07-18,8,0.008647140864714086
 521 | 2021-07-18,9,0.0024925224327018943
 522 | 2021-07-18,10,0.0076755424997631
 523 | 2021-07-18,11,0.013415892672858616
 524 | 2021-07-18,12,0.05450519502640095
 525 | 2021-07-18,13,0.011458915595304639
 526 | 2021-07-18,14,0.007347712728134629
 527 | 2021-07-18,15,0.0
 528 | 2021-07-18,16,-0.18968692449355434
 529 | 2021-07-18,17,0.03206997084548105
 530 | 2021-07-18,18,-0.004519774011299435
 531 | 2021-07-18,19,0.02036199095022625
 532 | 2021-07-18,20,0.02420574886535552
 533 | 2021-07-18,21,0.004842056721235877
 534 | 2021-07-18,22,0.0
 535 | 2021-07-18,23,0.0062176165803108805
 536 | 2021-07-18,24,0.0
 537 | 2021-07-18,25,0.0
 538 | 2021-07-18,26,0.0034602076124567475
 539 | 2021-07-18,27,0.018651362984218076
 540 | 2021-07-18,28,0.006493506493506494
 541 | 2021-07-18,29,0.013196480938416423
 542 | 2021-07-19,0,0.005738809321822446
 543 | 2021-07-19,1,0.011468738438771735
 544 | 2021-07-19,2,0.022608125819134996
 545 | 2021-07-19,3,0.017838622692387472
 546 | 2021-07-19,4,0.0106544901065449
 547 | 2021-07-19,5,0.0003520064366891281
 548 | 2021-07-19,6,0.004870546013842605
 549 | 2021-07-19,7,0.0
 550 | 2021-07-19,8,0.008645533141210374
 551 | 2021-07-19,9,0.0022740193291642978
 552 | 2021-07-19,10,0.0067415730337078645
 553 | 2021-07-19,11,0.011678200692041524
 554 | 2021-07-19,12,0.04923547400611621
 555 | 2021-07-19,13,0.009733487833140209
 556 | 2021-07-19,14,0.007347712728134629
 557 | 2021-07-19,15,0.0
 558 | 2021-07-19,16,-0.1016949152542373
 559 | 2021-07-19,17,0.03206997084548105
 560 | 2021-07-19,18,-0.0011896264572924102
 561 | 2021-07-19,19,0.01736111111111111
 562 | 2021-07-19,20,0.013215859030837005
 563 | 2021-07-19,21,0.004651162790697674
 564 | 2021-07-19,22,0.0
 565 | 2021-07-19,23,0.006856023506366308
 566 | 2021-07-19,24,0.0
 567 | 2021-07-19,25,0.0
 568 | 2021-07-19,26,0.0024449877750611247
 569 | 2021-07-19,27,0.01846590909090909
 570 | 2021-07-19,28,0.005930318754633061
 571 | 2021-07-19,29,0.012129380053908357
 572 | 2021-07-20,0,0.005093535839970365
 573 | 2021-07-20,1,0.009976525821596244
 574 | 2021-07-20,2,0.02272010097822657
 575 | 2021-07-20,3,0.015881913303437967
 576 | 2021-07-20,4,0.009956709956709957
 577 | 2021-07-20,5,0.0002768549280177187
 578 | 2021-07-20,6,0.003517823639774859
 579 | 2021-07-20,7,0.0
 580 | 2021-07-20,8,0.008255933952528379
 581 | 2021-07-20,9,0.00222000222000222
 582 | 2021-07-20,10,0.006217694209304067
 583 | 2021-07-20,11,0.010836584308625921
 584 | 2021-07-20,12,0.04631864815932408
 585 | 2021-07-20,13,0.009156729131175469
 586 | 2021-07-20,14,0.00711068973690448
 587 | 2021-07-20,15,0.0
 588 | 2021-07-20,16,-0.09532710280373832
 589 | 2021-07-20,17,0.02797761790567546
 590 | 2021-07-20,18,-0.0011402508551881414
 591 | 2021-07-20,19,0.016224188790560472
 592 | 2021-07-20,20,0.013215859030837005
 593 | 2021-07-20,21,0.0045445938269267185
 594 | 2021-07-20,22,0.0
 595 | 2021-07-20,23,0.005494505494505494
 596 | 2021-07-20,24,0.0
 597 | 2021-07-20,25,0.0
 598 | 2021-07-20,26,0.002291825821237586
 599 | 2021-07-20,27,0.018791946308724834
 600 | 2021-07-20,28,0.005305039787798408
 601 | 2021-07-20,29,0.010169491525423728
 602 | 2021-07-21,0,0.004613319912766314
 603 | 2021-07-21,1,0.009385954992649555
 604 | 2021-07-21,2,0.01957186544342508
 605 | 2021-07-21,3,0.014196841601531342
 606 | 2021-07-21,4,0.010475152937232883
 607 | 2021-07-21,5,0.0002716161158895428
 608 | 2021-07-21,6,0.0036215482118605704
 609 | 2021-07-21,7,0.0
 610 | 2021-07-21,8,0.0067425200168562995
 611 | 2021-07-21,9,0.0031945479714620383
 612 | 2021-07-21,10,0.008027006751687922
 613 | 2021-07-21,11,0.010052271813429834
 614 | 2021-07-21,12,0.044214212753538595
 615 | 2021-07-21,13,0.009253139458030402
 616 | 2021-07-21,14,0.004731627975750406
 617 | 2021-07-21,15,0.0
 618 | 2021-07-21,16,-0.08578637510513036
 619 | 2021-07-21,17,0.030042918454935626
 620 | 2021-07-21,18,-0.0013057671381936887
 621 | 2021-07-21,19,0.013140604467805518
 622 | 2021-07-21,20,0.014111006585136405
 623 | 2021-07-21,21,0.004465116279069767
 624 | 2021-07-21,22,0.0
 625 | 2021-07-21,23,0.005897219882055603
 626 | 2021-07-21,24,0.0
 627 | 2021-07-21,25,0.0
 628 | 2021-07-21,26,0.002807017543859649
 629 | 2021-07-21,27,0.01794871794871795
 630 | 2021-07-21,28,0.00446927374301676
 631 | 2021-07-21,29,0.0065005417118093175
 632 | 2021-07-22,0,0.0042941288238647155
 633 | 2021-07-22,1,0.008897165321746328
 634 | 2021-07-22,2,0.01664876476906552
 635 | 2021-07-22,3,0.011263467189030362
 636 | 2021-07-22,4,0.010263455632778406
 637 | 2021-07-22,5,0.0003110419906687403
 638 | 2021-07-22,6,0.0033848106621535857
 639 | 2021-07-22,7,0.0
 640 | 2021-07-22,8,0.007207890743550835
 641 | 2021-07-22,9,0.002973240832507433
 642 | 2021-07-22,10,0.007927769213829552
 643 | 2021-07-22,11,0.00919793966151582
 644 | 2021-07-22,12,0.04103818453594238
 645 | 2021-07-22,13,0.008370644344948414
 646 | 2021-07-22,14,0.004731627975750406
 647 | 2021-07-22,15,0.0
 648 | 2021-07-22,16,-0.07379518072289157
 649 | 2021-07-22,17,0.026102610261026105
 650 | 2021-07-22,18,-0.0004065040650406504
 651 | 2021-07-22,19,0.01426872770511296
 652 | 2021-07-22,20,0.0121765601217656
 653 | 2021-07-22,21,0.004187750828825685
 654 | 2021-07-22,22,0.0
 655 | 2021-07-22,23,0.004640371229698376
 656 | 2021-07-22,24,0.0
 657 | 2021-07-22,25,0.0
 658 | 2021-07-22,26,0.003201024327784891
 659 | 2021-07-22,27,0.012062726176115802
 660 | 2021-07-22,28,0.004179728317659352
 661 | 2021-07-22,29,0.008146639511201629
 662 | 2021-07-23,0,0.004318087605361337
 663 | 2021-07-23,1,0.00832854681217691
 664 | 2021-07-23,2,0.014638828893688505
 665 | 2021-07-23,3,0.010661980082015231
 666 | 2021-07-23,4,0.009921711495232927
 667 | 2021-07-23,5,0.00034618546886494437
 668 | 2021-07-23,6,0.0032952122504361307
 669 | 2021-07-23,7,0.0
 670 | 2021-07-23,8,0.007165755232887045
 671 | 2021-07-23,9,0.002088872009115078
 672 | 2021-07-23,10,0.008729874776386403
 673 | 2021-07-23,11,0.006863417982155113
 674 | 2021-07-23,12,0.03841162730339995
 675 | 2021-07-23,13,0.008340727595385981
 676 | 2021-07-23,14,0.006850518180221325
 677 | 2021-07-23,15,0.0
 678 | 2021-07-23,16,-0.038816295157571096
 679 | 2021-07-23,17,0.024908424908424907
 680 | 2021-07-23,18,0.00019286403085824492
 681 | 2021-07-23,19,0.013874066168623264
 682 | 2021-07-23,20,0.01293759512937595
 683 | 2021-07-23,21,0.004455445544554456
 684 | 2021-07-23,22,0.0
 685 | 2021-07-23,23,0.004189944134078212
 686 | 2021-07-23,24,0.0
 687 | 2021-07-23,25,0.0
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 689 | 2021-07-23,27,0.012359550561797753
 690 | 2021-07-23,28,0.0042452830188679245
 691 | 2021-07-23,29,0.007655502392344498
 692 | 2021-07-24,0,0.0040242096452256775
 693 | 2021-07-24,1,0.00704721634954193
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 696 | 2021-07-24,4,0.009793174011547175
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 699 | 2021-07-24,7,0.0
 700 | 2021-07-24,8,0.005926442391493812
 701 | 2021-07-24,9,0.002006880733944954
 702 | 2021-07-24,10,0.00831415633583253
 703 | 2021-07-24,11,0.006763972944108223
 704 | 2021-07-24,12,0.03440548378592143
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 706 | 2021-07-24,14,0.006850518180221325
 707 | 2021-07-24,15,0.0
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 710 | 2021-07-24,18,0.00019297568506368196
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 713 | 2021-07-24,21,0.004543160020191823
 714 | 2021-07-24,22,0.0
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 716 | 2021-07-24,24,0.0
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 720 | 2021-07-24,28,0.003337505214851898
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 722 | 2021-07-25,0,0.0037377450980392154
 723 | 2021-07-25,1,0.0066171064455518335
 724 | 2021-07-25,2,0.01476846057571965
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 727 | 2021-07-25,5,0.001060023850536637
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 729 | 2021-07-25,7,0.0
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 731 | 2021-07-25,9,0.0017277788443079286
 732 | 2021-07-25,10,0.008293656888342806
 733 | 2021-07-25,11,0.006593406593406593
 734 | 2021-07-25,12,0.0309799228825954
 735 | 2021-07-25,13,0.0064070139942674085
 736 | 2021-07-25,14,0.007201826804848059
 737 | 2021-07-25,15,0.0
 738 | 2021-07-25,16,0.0035842293906810036
 739 | 2021-07-25,17,0.025445292620865142
 740 | 2021-07-25,18,0.0003999200159968006
 741 | 2021-07-25,19,0.011148272017837234
 742 | 2021-07-25,20,0.0169971671388102
 743 | 2021-07-25,21,0.004308116491469929
 744 | 2021-07-25,22,0.0
 745 | 2021-07-25,23,0.0029463759575721863
 746 | 2021-07-25,24,0.0
 747 | 2021-07-25,25,0.0
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 749 | 2021-07-25,27,0.006036217303822937
 750 | 2021-07-25,28,0.0025477707006369425
 751 | 2021-07-25,29,0.006958250497017893
 752 | 2021-07-26,0,0.004036178298912883
 753 | 2021-07-26,1,0.006571908910285803
 754 | 2021-07-26,2,0.01189767995240928
 755 | 2021-07-26,3,0.008794985847149212
 756 | 2021-07-26,4,0.007221638655462185
 757 | 2021-07-26,5,0.001476433844406587
 758 | 2021-07-26,6,0.0024957104975822804
 759 | 2021-07-26,7,0.0
 760 | 2021-07-26,8,0.006056018168054504
 761 | 2021-07-26,9,0.0015401728416188929
 762 | 2021-07-26,10,0.008451634202707163
 763 | 2021-07-26,11,0.005220417633410673
 764 | 2021-07-26,12,0.027196652719665274
 765 | 2021-07-26,13,0.006023232468091209
 766 | 2021-07-26,14,0.00649920955559459
 767 | 2021-07-26,15,0.0
 768 | 2021-07-26,16,0.002840012622278321
 769 | 2021-07-26,17,0.025445292620865142
 770 | 2021-07-26,18,0.0004948861761794787
 771 | 2021-07-26,19,0.00856898029134533
 772 | 2021-07-26,20,0.011805555555555555
 773 | 2021-07-26,21,0.003727064220183486
 774 | 2021-07-26,22,0.0
 775 | 2021-07-26,23,0.0027979854504756574
 776 | 2021-07-26,24,0.0
 777 | 2021-07-26,25,0.0
 778 | 2021-07-26,26,0.0018823529411764704
 779 | 2021-07-26,27,0.005687203791469194
 780 | 2021-07-26,28,0.002628120893561104
 781 | 2021-07-26,29,0.008395522388059701
 782 | 2021-07-27,0,0.003966467874423315
 783 | 2021-07-27,1,0.005721320973348784
 784 | 2021-07-27,2,0.011738401341531582
 785 | 2021-07-27,3,0.008655126498002663
 786 | 2021-07-27,4,0.007175970026036704
 787 | 2021-07-27,5,0.0011404509167470829
 788 | 2021-07-27,6,0.002313475997686524
 789 | 2021-07-27,7,0.0
 790 | 2021-07-27,8,0.0056207637626053885
 791 | 2021-07-27,9,0.0015661061655126937
 792 | 2021-07-27,10,0.009008449304174949
 793 | 2021-07-27,11,0.004991680532445923
 794 | 2021-07-27,12,0.026410835214446954
 795 | 2021-07-27,13,0.006099213879100027
 796 | 2021-07-27,14,0.004344048653344918
 797 | 2021-07-27,15,0.0
 798 | 2021-07-27,16,0.00268897520167314
 799 | 2021-07-27,17,0.024294156270518712
 800 | 2021-07-27,18,0.0007871536523929471
 801 | 2021-07-27,19,0.008487654320987654
 802 | 2021-07-27,20,0.011805555555555555
 803 | 2021-07-27,21,0.00408107740443477
 804 | 2021-07-27,22,0.0
 805 | 2021-07-27,23,0.0021141649048625794
 806 | 2021-07-27,24,0.0
 807 | 2021-07-27,25,0.0
 808 | 2021-07-27,26,0.0017785682525566918
 809 | 2021-07-27,27,0.005012531328320802
 810 | 2021-07-27,28,0.002565042139978014
 811 | 2021-07-27,29,0.007331378299120235
 812 | 2021-07-28,0,0.0040525768523209
 813 | 2021-07-28,1,0.005752703077349598
 814 | 2021-07-28,2,0.010996447301641009
 815 | 2021-07-28,3,0.009268699601445917
 816 | 2021-07-28,4,0.006738057995427747
 817 | 2021-07-28,5,0.0014852710619688095
 818 | 2021-07-28,6,0.0022696929238985313
 819 | 2021-07-28,7,0.0
 820 | 2021-07-28,8,0.0045321247667288725
 821 | 2021-07-28,9,0.0015000789515237645
 822 | 2021-07-28,10,0.009391040597293513
 823 | 2021-07-28,11,0.004326800712649528
 824 | 2021-07-28,12,0.025284861638632663
 825 | 2021-07-28,13,0.0067774936061381075
 826 | 2021-07-28,14,0.004561251086012163
 827 | 2021-07-28,15,0.0
 828 | 2021-07-28,16,0.002640070401877384
 829 | 2021-07-28,17,0.024294156270518712
 830 | 2021-07-28,18,0.0007578053955744165
 831 | 2021-07-28,19,0.008456659619450316
 832 | 2021-07-28,20,0.013888888888888888
 833 | 2021-07-28,21,0.003857032656209823
 834 | 2021-07-28,22,0.0
 835 | 2021-07-28,23,0.0024342745861733205
 836 | 2021-07-28,24,0.0
 837 | 2021-07-28,25,0.0
 838 | 2021-07-28,26,0.0016645859342488555
 839 | 2021-07-28,27,0.004615384615384615
 840 | 2021-07-28,28,0.002577319587628866
 841 | 2021-07-28,29,0.006613756613756613
 842 | 2021-07-29,0,0.0037868475113234166
 843 | 2021-07-29,1,0.005280234111584707
 844 | 2021-07-29,2,0.008733624454148471
 845 | 2021-07-29,3,0.006616442843105143
 846 | 2021-07-29,4,0.006931798155436761
 847 | 2021-07-29,5,0.0012553942722636326
 848 | 2021-07-29,6,0.0018281535648994515
 849 | 2021-07-29,7,0.0
 850 | 2021-07-29,8,0.004357555058297021
 851 | 2021-07-29,9,0.0014328808446455506
 852 | 2021-07-29,10,0.010583254938852305
 853 | 2021-07-29,11,0.0044807590933052185
 854 | 2021-07-29,12,0.02044380521882063
 855 | 2021-07-29,13,0.006124131433282299
 856 | 2021-07-29,14,0.0036281962681409814
 857 | 2021-07-29,15,0.0
 858 | 2021-07-29,16,0.002484815019326339
 859 | 2021-07-29,17,0.02425106990014265
 860 | 2021-07-29,18,0.002197158341877838
 861 | 2021-07-29,19,0.007232084155161077
 862 | 2021-07-29,20,0.011122881355932203
 863 | 2021-07-29,21,0.003980993964299473
 864 | 2021-07-29,22,0.0
 865 | 2021-07-29,23,0.002257336343115124
 866 | 2021-07-29,24,0.0
 867 | 2021-07-29,25,0.0
 868 | 2021-07-29,26,0.001523229246001523
 869 | 2021-07-29,27,0.004225352112676056
 870 | 2021-07-29,28,0.0027824151363383415
 871 | 2021-07-29,29,0.006215040397762585
 872 | 2021-07-30,0,0.0038138124339475257
 873 | 2021-07-30,1,0.005027503400958183
 874 | 2021-07-30,2,0.007844946931241346
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 881 | 2021-07-30,9,0.0011004559031598804
 882 | 2021-07-30,10,0.01072234762979684
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 884 | 2021-07-30,12,0.01809954751131222
 885 | 2021-07-30,13,0.006897318945377684
 886 | 2021-07-30,14,0.0042258932001536685
 887 | 2021-07-30,15,0.0
 888 | 2021-07-30,16,0.0010427528675703856
 889 | 2021-07-30,17,0.020498614958448753
 890 | 2021-07-30,18,0.00201496833621186
 891 | 2021-07-30,19,0.006539833531510107
 892 | 2021-07-30,20,0.011122881355932203
 893 | 2021-07-30,21,0.003997093023255814
 894 | 2021-07-30,22,0.0
 895 | 2021-07-30,23,0.002040816326530612
 896 | 2021-07-30,24,0.0
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 898 | 2021-07-30,26,0.0014124293785310732
 899 | 2021-07-30,27,0.004016064257028112
 900 | 2021-07-30,28,0.0027506876719179795
 901 | 2021-07-30,29,0.0070052539404553416
 902 | 2021-07-31,0,0.003557531962201223
 903 | 2021-07-31,1,0.00492988606485539
 904 | 2021-07-31,2,0.007400409384348923
 905 | 2021-07-31,3,0.005800031926781248
 906 | 2021-07-31,4,0.006967741935483871
 907 | 2021-07-31,5,0.0012359029816159431
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 909 | 2021-07-31,7,0.0
 910 | 2021-07-31,8,0.004111755403268319
 911 | 2021-07-31,9,0.0018967619563744751
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 913 | 2021-07-31,11,0.0030286343612334803
 914 | 2021-07-31,12,0.02430886558627264
 915 | 2021-07-31,13,0.006309148264984228
 916 | 2021-07-31,14,0.004129850172877449
 917 | 2021-07-31,15,0.0
 918 | 2021-07-31,16,0.0014590020426028597
 919 | 2021-07-31,17,0.020498614958448753
 920 | 2021-07-31,18,0.002728264823572208
 921 | 2021-07-31,19,0.006009615384615385
 922 | 2021-07-31,20,0.010619469026548672
 923 | 2021-07-31,21,0.004623415361670395
 924 | 2021-07-31,22,0.0
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 926 | 2021-07-31,24,0.0
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 946 | 2021-08-01,14,0.003937764118325009
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 948 | 2021-08-01,16,0.0014938751120406335
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 951 | 2021-08-01,19,0.007352941176470588
 952 | 2021-08-01,20,0.00943952802359882
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 954 | 2021-08-01,22,0.0
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 957 | 2021-08-01,25,0.0
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 968 | 2021-08-02,6,0.0010574889444337628
 969 | 2021-08-02,7,0.0
 970 | 2021-08-02,8,0.0036929274843330345
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 976 | 2021-08-02,14,0.004033807145601229
 977 | 2021-08-02,15,0.0
 978 | 2021-08-02,16,0.020970782280867104
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 981 | 2021-08-02,19,0.005988023952095808
 982 | 2021-08-02,20,0.007014467338886453
 983 | 2021-08-02,21,0.003887269193391642
 984 | 2021-08-02,22,0.0
 985 | 2021-08-02,23,0.0023201856148491883
 986 | 2021-08-02,24,0.0
 987 | 2021-08-02,25,0.0
 988 | 2021-08-02,26,0.0012022843402464682
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 991 | 2021-08-02,29,0.007751937984496125
 992 | 2021-08-03,0,0.003236181702668361
 993 | 2021-08-03,1,0.004864555513162915
 994 | 2021-08-03,2,0.006320224719101124
 995 | 2021-08-03,3,0.004816598740274175
 996 | 2021-08-03,4,0.006252811515969411
 997 | 2021-08-03,5,0.0008975049362771495
 998 | 2021-08-03,6,0.0009694192297523576
 999 | 2021-08-03,7,0.0
1000 | 2021-08-03,8,0.003875178462166021
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1002 | 2021-08-03,10,0.009842316809234258
1003 | 2021-08-03,11,0.002017978352595854
1004 | 2021-08-03,12,0.016146266175946812
1005 | 2021-08-03,13,0.005565529622980251
1006 | 2021-08-03,14,0.0028458302400395943
1007 | 2021-08-03,15,0.0
1008 | 2021-08-03,16,0.020282588878760253
1009 | 2021-08-03,17,0.015730337078651686
1010 | 2021-08-03,18,0.002260525572195535
1011 | 2021-08-03,19,0.006343452650657001
1012 | 2021-08-03,20,0.00657606313020605
1013 | 2021-08-03,21,0.004239284032030146
1014 | 2021-08-03,22,0.0
1015 | 2021-08-03,23,0.0021296014602981443
1016 | 2021-08-03,24,0.0
1017 | 2021-08-03,25,0.0
1018 | 2021-08-03,26,0.001397428731134712
1019 | 2021-08-03,27,0.004859611231101512
1020 | 2021-08-03,28,0.0024355591637913536
1021 | 2021-08-03,29,0.006269592476489029
1022 | 2021-08-04,0,0.0031076031419202317
1023 | 2021-08-04,1,0.004666697167955346
1024 | 2021-08-04,2,0.005977698586044373
1025 | 2021-08-04,3,0.00516687613461807
1026 | 2021-08-04,4,0.0060954961056552655
1027 | 2021-08-04,5,0.0010771585690798797
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1030 | 2021-08-04,8,0.003434411124141397
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1038 | 2021-08-04,16,0.01919602529358627
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1080 | 2021-08-05,28,0.0025125628140703514
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1102 | 2021-08-06,20,0.006010016694490819
1103 | 2021-08-06,21,0.004756637168141593
1104 | 2021-08-06,22,0.0
1105 | 2021-08-06,23,0.0019846192011907715
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1121 | 2021-08-07,9,0.0017543859649122805
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1124 | 2021-08-07,12,0.009500939653372311
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1126 | 2021-08-07,14,0.0031192175522072427
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1128 | 2021-08-07,16,0.018377693282636248
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1392 | 2021-08-16,10,0.017647658879934712
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1503 | 2021-08-20,1,0.0043333993660855784
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1773 | 2021-08-29,1,0.005178711795440884
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1775 | 2021-08-29,3,0.007935790596359297
1776 | 2021-08-29,4,0.005692682078915349
1777 | 2021-08-29,5,0.0025420817588457574
1778 | 2021-08-29,6,0.004643765903307888
1779 | 2021-08-29,7,0.0
1780 | 2021-08-29,8,0.007310908030332492
1781 | 2021-08-29,9,0.0028196813760045115
1782 | 2021-08-29,10,0.023207152368270877
1783 | 2021-08-29,11,0.004964484839227068
1784 | 2021-08-29,12,0.003349207179862892
1785 | 2021-08-29,13,0.005503653686060494
1786 | 2021-08-29,14,0.010057663939922221
1787 | 2021-08-29,15,0.0
1788 | 2021-08-29,16,-0.04876847290640394
1789 | 2021-08-29,17,0.010731532820604543
1790 | 2021-08-29,18,0.0022865853658536584
1791 | 2021-08-29,19,0.002607823470411234
1792 | 2021-08-29,20,0.003947189328977815
1793 | 2021-08-29,21,0.006883186313819835
1794 | 2021-08-29,22,0.0
1795 | 2021-08-29,23,0.004048173261815605
1796 | 2021-08-29,24,0.0
1797 | 2021-08-29,25,0.0
1798 | 2021-08-29,26,0.002940511196561864
1799 | 2021-08-29,27,0.001865939428735467
1800 | 2021-08-29,28,0.006641640196361536
1801 | 2021-08-29,29,0.0036133694670280035
1802 | 2021-08-30,0,0.0060205723199922
1803 | 2021-08-30,1,0.0053947131810825385
1804 | 2021-08-30,2,0.006680907149025132
1805 | 2021-08-30,3,0.007640710550870583
1806 | 2021-08-30,4,0.005110622331478846
1807 | 2021-08-30,5,0.0024837215546754383
1808 | 2021-08-30,6,0.00426316395898145
1809 | 2021-08-30,7,0.0
1810 | 2021-08-30,8,0.007434197307615028
1811 | 2021-08-30,9,0.0027218290691344584
1812 | 2021-08-30,10,0.0230212547723517
1813 | 2021-08-30,11,0.0047422680412371136
1814 | 2021-08-30,12,0.0032482363091914934
1815 | 2021-08-30,13,0.0068822586321510976
1816 | 2021-08-30,14,0.008840010787809775
1817 | 2021-08-30,15,0.0
1818 | 2021-08-30,16,-0.045987690163744044
1819 | 2021-08-30,17,0.010365949426731583
1820 | 2021-08-30,18,0.0021714403887912316
1821 | 2021-08-30,19,0.0024398745207389336
1822 | 2021-08-30,20,0.003674969375255207
1823 | 2021-08-30,21,0.006892230576441102
1824 | 2021-08-30,22,0.0
1825 | 2021-08-30,23,0.003933830946136776
1826 | 2021-08-30,24,0.0
1827 | 2021-08-30,25,0.0
1828 | 2021-08-30,26,0.0029498525073746312
1829 | 2021-08-30,27,0.001859799713876967
1830 | 2021-08-30,28,0.007155815359806491
1831 | 2021-08-30,29,0.0035641547861507126
1832 | 2021-08-31,0,0.006150578006125876
1833 | 2021-08-31,1,0.005482803933118855
1834 | 2021-08-31,2,0.006759083864301705
1835 | 2021-08-31,3,0.008027443059134916
1836 | 2021-08-31,4,0.005244440442963897
1837 | 2021-08-31,5,0.002639369404715198
1838 | 2021-08-31,6,0.004056566567130543
1839 | 2021-08-31,7,0.0
1840 | 2021-08-31,8,0.007386035776110791
1841 | 2021-08-31,9,0.003085973287043734
1842 | 2021-08-31,10,0.02334287601849813
1843 | 2021-08-31,11,0.005239769184851098
1844 | 2021-08-31,12,0.002849462365591398
1845 | 2021-08-31,13,0.007354954813974415
1846 | 2021-08-31,14,0.009171900102234556
1847 | 2021-08-31,15,0.0
1848 | 2021-08-31,16,-0.0441811538035655
1849 | 2021-08-31,17,0.010365949426731583
1850 | 2021-08-31,18,0.0021855534914217026
1851 | 2021-08-31,19,0.0028192371475953566
1852 | 2021-08-31,20,0.00379979035639413
1853 | 2021-08-31,21,0.008126934984520124
1854 | 2021-08-31,22,0.0
1855 | 2021-08-31,23,0.0040032025620496394
1856 | 2021-08-31,24,0.0
1857 | 2021-08-31,25,0.0
1858 | 2021-08-31,26,0.003188702881220818
1859 | 2021-08-31,27,0.0022963663379710927
1860 | 2021-08-31,28,0.006754256106587713
1861 | 2021-08-31,29,0.0036363636363636364
1862 | 2021-09-01,0,0.006588205990410362
1863 | 2021-09-01,1,0.005546384945526577
1864 | 2021-09-01,2,0.007069842842347008
1865 | 2021-09-01,3,0.008118201006656925
1866 | 2021-09-01,4,0.005824654093497607
1867 | 2021-09-01,5,0.0027118405296893714
1868 | 2021-09-01,6,0.004702679289647918
1869 | 2021-09-01,7,0.0
1870 | 2021-09-01,8,0.006763317373690026
1871 | 2021-09-01,9,0.0033832078528542838
1872 | 2021-09-01,10,0.024825493171471927
1873 | 2021-09-01,11,0.005853727343254108
1874 | 2021-09-01,12,0.002979253561562212
1875 | 2021-09-01,13,0.007812194836139212
1876 | 2021-09-01,14,0.010148132440701584
1877 | 2021-09-01,15,0.0
1878 | 2021-09-01,16,-0.04279817510319357
1879 | 2021-09-01,17,0.01296296296296296
1880 | 2021-09-01,18,0.002114590675662068
1881 | 2021-09-01,19,0.003088538091969801
1882 | 2021-09-01,20,0.00394880174291939
1883 | 2021-09-01,21,0.00730683243361143
1884 | 2021-09-01,22,0.0
1885 | 2021-09-01,23,0.004253635374418835
1886 | 2021-09-01,24,0.0
1887 | 2021-09-01,25,0.0
1888 | 2021-09-01,26,0.003403289846851957
1889 | 2021-09-01,27,0.0021540800810947794
1890 | 2021-09-01,28,0.007197363857093306
1891 | 2021-09-01,29,0.0036281179138321993
1892 | 2021-09-02,0,0.006953341708855249
1893 | 2021-09-02,1,0.005877643886407686
1894 | 2021-09-02,2,0.00789112027308596
1895 | 2021-09-02,3,0.00867819441746001
1896 | 2021-09-02,4,0.005952634947727757
1897 | 2021-09-02,5,0.0034098498962983797
1898 | 2021-09-02,6,0.0051985469121884
1899 | 2021-09-02,7,0.0
1900 | 2021-09-02,8,0.007225288509784245
1901 | 2021-09-02,9,0.003751113611853519
1902 | 2021-09-02,10,0.024252471296125743
1903 | 2021-09-02,11,0.005225163286352698
1904 | 2021-09-02,12,0.0036762747082955934
1905 | 2021-09-02,13,0.0080577727099962
1906 | 2021-09-02,14,0.011105009457562999
1907 | 2021-09-02,15,0.0
1908 | 2021-09-02,16,-0.04247230067347382
1909 | 2021-09-02,17,0.01296296296296296
1910 | 2021-09-02,18,0.0020236770211474247
1911 | 2021-09-02,19,0.0030523995251822964
1912 | 2021-09-02,20,0.00523226135783563
1913 | 2021-09-02,21,0.007321835340058575
1914 | 2021-09-02,22,0.0
1915 | 2021-09-02,23,0.004242599556455501
1916 | 2021-09-02,24,0.0
1917 | 2021-09-02,25,0.0
1918 | 2021-09-02,26,0.0035858359480053785
1919 | 2021-09-02,27,0.001948605529168189
1920 | 2021-09-02,28,0.007420675537359263
1921 | 2021-09-02,29,0.004107088530574993
1922 | 2021-09-03,0,0.007141599818945356
1923 | 2021-09-03,1,0.0057671162174898465
1924 | 2021-09-03,2,0.008039766587421657
1925 | 2021-09-03,3,0.009615712483377092
1926 | 2021-09-03,4,0.006734986592387802
1927 | 2021-09-03,5,0.003345910158752759
1928 | 2021-09-03,6,0.006024860476915271
1929 | 2021-09-03,7,0.0
1930 | 2021-09-03,8,0.007792653621695847
1931 | 2021-09-03,9,0.003994736347401071
1932 | 2021-09-03,10,0.023776138511247942
1933 | 2021-09-03,11,0.0052576962988585265
1934 | 2021-09-03,12,0.003930942895086322
1935 | 2021-09-03,13,0.008056171470805618
1936 | 2021-09-03,14,0.012045919169680766
1937 | 2021-09-03,15,0.0
1938 | 2021-09-03,16,0.003105257522218653
1939 | 2021-09-03,17,0.012814714307251621
1940 | 2021-09-03,18,0.0020181634712411706
1941 | 2021-09-03,19,0.0032258064516129032
1942 | 2021-09-03,20,0.00575690174015439
1943 | 2021-09-03,21,0.007844800169617302
1944 | 2021-09-03,22,0.0
1945 | 2021-09-03,23,0.004293848595164753
1946 | 2021-09-03,24,0.0
1947 | 2021-09-03,25,0.0
1948 | 2021-09-03,26,0.0033237314424994463
1949 | 2021-09-03,27,0.0022355571243675727
1950 | 2021-09-03,28,0.008262372481241044
1951 | 2021-09-03,29,0.00428921568627451
1952 | 2021-09-04,0,0.007455683673338218
1953 | 2021-09-04,1,0.005671974749032917
1954 | 2021-09-04,2,0.008074589578872235
1955 | 2021-09-04,3,0.009261768503610655
1956 | 2021-09-04,4,0.0069279288594767865
1957 | 2021-09-04,5,0.003295418305517168
1958 | 2021-09-04,6,0.006422439216200276
1959 | 2021-09-04,7,0.0
1960 | 2021-09-04,8,0.007879976600942844
1961 | 2021-09-04,9,0.003744792398071432
1962 | 2021-09-04,10,0.023651479023007026
1963 | 2021-09-04,11,0.005589468265058469
1964 | 2021-09-04,12,0.004555686568764069
1965 | 2021-09-04,13,0.008192036578395885
1966 | 2021-09-04,14,0.013177255337932839
1967 | 2021-09-04,15,0.0
1968 | 2021-09-04,16,0.0034177079995727864
1969 | 2021-09-04,17,0.012814714307251621
1970 | 2021-09-04,18,0.0017171717171717172
1971 | 2021-09-04,19,0.00319318786588611
1972 | 2021-09-04,20,0.005686125852918878
1973 | 2021-09-04,21,0.007684265551489806
1974 | 2021-09-04,22,0.0
1975 | 2021-09-04,23,0.004066543438077635
1976 | 2021-09-04,24,0.0
1977 | 2021-09-04,25,0.0
1978 | 2021-09-04,26,0.003454423891241364
1979 | 2021-09-04,27,0.002188940092165899
1980 | 2021-09-04,28,0.009033648267860102
1981 | 2021-09-04,29,0.00419219606578523
1982 | 2021-09-05,0,0.007610949269086423
1983 | 2021-09-05,1,0.005856917339678327
1984 | 2021-09-05,2,0.007983290786725458
1985 | 2021-09-05,3,0.009491356382978723
1986 | 2021-09-05,4,0.006621699432425763
1987 | 2021-09-05,5,0.0033034953111679456
1988 | 2021-09-05,6,0.008158672105781405
1989 | 2021-09-05,7,0.0
1990 | 2021-09-05,8,0.00812776272636532
1991 | 2021-09-05,9,0.0034789149546330684
1992 | 2021-09-05,10,0.022461937598142964
1993 | 2021-09-05,11,0.005532611236655498
1994 | 2021-09-05,12,0.005171856480982652
1995 | 2021-09-05,13,0.008343548578433313
1996 | 2021-09-05,14,0.014300128735952123
1997 | 2021-09-05,15,0.0
1998 | 2021-09-05,16,0.003947508801877734
1999 | 2021-09-05,17,0.01337958374628345
2000 | 2021-09-05,18,0.0018412438625204583
2001 | 2021-09-05,19,0.0031516499814608825
2002 | 2021-09-05,20,0.0052726337448559665
2003 | 2021-09-05,21,0.007475083056478406
2004 | 2021-09-05,22,0.0
2005 | 2021-09-05,23,0.004110715264456015
2006 | 2021-09-05,24,0.0
2007 | 2021-09-05,25,0.0
2008 | 2021-09-05,26,0.0036908623196510453
2009 | 2021-09-05,27,0.0019355573266537627
2010 | 2021-09-05,28,0.009147393855712806
2011 | 2021-09-05,29,0.0042115902964959566
2012 | 2021-09-06,0,0.007790406787035023
2013 | 2021-09-06,1,0.006152256610153573
2014 | 2021-09-06,2,0.007983290786725458
2015 | 2021-09-06,3,0.00948178587668626
2016 | 2021-09-06,4,0.006472086517182345
2017 | 2021-09-06,5,0.0034274342153755443
2018 | 2021-09-06,6,0.00808833872555915
2019 | 2021-09-06,7,0.0
2020 | 2021-09-06,8,0.008107012565869477
2021 | 2021-09-06,9,0.0035554701388555232
2022 | 2021-09-06,10,0.022461937598142964
2023 | 2021-09-06,11,0.005532611236655498
2024 | 2021-09-06,12,0.00498876158105367
2025 | 2021-09-06,13,0.008343548578433313
2026 | 2021-09-06,14,0.014160954733655752
2027 | 2021-09-06,15,0.0
2028 | 2021-09-06,16,0.004072883172561629
2029 | 2021-09-06,17,0.01337958374628345
2030 | 2021-09-06,18,0.0018854090290143502
2031 | 2021-09-06,19,0.0031516499814608825
2032 | 2021-09-06,20,0.00516698172652804
2033 | 2021-09-06,21,0.007516049898220158
2034 | 2021-09-06,22,0.0
2035 | 2021-09-06,23,0.0045846323124885385
2036 | 2021-09-06,24,0.0
2037 | 2021-09-06,25,0.0
2038 | 2021-09-06,26,0.003843979649519502
2039 | 2021-09-06,27,0.001911400944456937
2040 | 2021-09-06,28,0.009968904335101518
2041 | 2021-09-06,29,0.0042115902964959566
2042 | 2021-09-07,0,0.00794319074884922
2043 | 2021-09-07,1,0.006153772478030793
2044 | 2021-09-07,2,0.007746620940084728
2045 | 2021-09-07,3,0.010127820074037857
2046 | 2021-09-07,4,0.007198369219008792
2047 | 2021-09-07,5,0.003679645552510044
2048 | 2021-09-07,6,0.007062941433839615
2049 | 2021-09-07,7,0.0
2050 | 2021-09-07,8,0.008107012565869477
2051 | 2021-09-07,9,0.004214653271257045
2052 | 2021-09-07,10,0.020447207939734546
2053 | 2021-09-07,11,0.005074768252249813
2054 | 2021-09-07,12,0.005356748398497901
2055 | 2021-09-07,13,0.009403397866455946
2056 | 2021-09-07,14,0.014578476740544863
2057 | 2021-09-07,15,0.0
2058 | 2021-09-07,16,0.003817626527050611
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2060 | 2021-09-07,18,0.0016032492518170158
2061 | 2021-09-07,19,0.003147623544224111
2062 | 2021-09-07,20,0.005157804249048262
2063 | 2021-09-07,21,0.008139473822401933
2064 | 2021-09-07,22,0.0
2065 | 2021-09-07,23,0.004835766423357664
2066 | 2021-09-07,24,0.0
2067 | 2021-09-07,25,0.0
2068 | 2021-09-07,26,0.00391209296973881
2069 | 2021-09-07,27,0.0024349750968456004
2070 | 2021-09-07,28,0.01006036217303823
2071 | 2021-09-07,29,0.004584255453683212
2072 | 2021-09-08,0,0.00841285077070747
2073 | 2021-09-08,1,0.006385019180294771
2074 | 2021-09-08,2,0.009025506867233486
2075 | 2021-09-08,3,0.010443379673370227
2076 | 2021-09-08,4,0.007603666895133654
2077 | 2021-09-08,5,0.0037034237774922533
2078 | 2021-09-08,6,0.008862105636299186
2079 | 2021-09-08,7,0.0
2080 | 2021-09-08,8,0.008475513137045363
2081 | 2021-09-08,9,0.005132333702324646
2082 | 2021-09-08,10,0.0223240589198036
2083 | 2021-09-08,11,0.006735485760304562
2084 | 2021-09-08,12,0.0060923041554112305
2085 | 2021-09-08,13,0.008259524813721355
2086 | 2021-09-08,14,0.014756302521008402
2087 | 2021-09-08,15,0.0
2088 | 2021-09-08,16,0.0037535879885184364
2089 | 2021-09-08,17,0.01525575830092731
2090 | 2021-09-08,18,0.0018490319773765498
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2092 | 2021-09-08,20,0.005931656995486783
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2094 | 2021-09-08,22,0.0
2095 | 2021-09-08,23,0.005036168849006501
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2097 | 2021-09-08,25,0.0
2098 | 2021-09-08,26,0.003927457548804436
2099 | 2021-09-08,27,0.002326811210999471
2100 | 2021-09-08,28,0.009430867639822864
2101 | 2021-09-08,29,0.003816254416961131
2102 | 2021-09-09,0,0.008955692140952327
2103 | 2021-09-09,1,0.006899064739463136
2104 | 2021-09-09,2,0.008612151746113766
2105 | 2021-09-09,3,0.01052914486269426
2106 | 2021-09-09,4,0.008639540367877202
2107 | 2021-09-09,5,0.003909693740656982
2108 | 2021-09-09,6,0.009787451610547076
2109 | 2021-09-09,7,0.0
2110 | 2021-09-09,8,0.007560328334259087
2111 | 2021-09-09,9,0.006007810153199159
2112 | 2021-09-09,10,0.022229551451187334
2113 | 2021-09-09,11,0.007018549022416386
2114 | 2021-09-09,12,0.006369057958427422
2115 | 2021-09-09,13,0.008781405721852459
2116 | 2021-09-09,14,0.015872485464144888
2117 | 2021-09-09,15,0.0
2118 | 2021-09-09,16,0.004106548279689234
2119 | 2021-09-09,17,0.01525575830092731
2120 | 2021-09-09,18,0.0017636684303350971
2121 | 2021-09-09,19,0.0042407437612135045
2122 | 2021-09-09,20,0.005830131177951504
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2126 | 2021-09-09,24,0.0
2127 | 2021-09-09,25,0.0
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2133 | 2021-09-10,1,0.006685467010259153
2134 | 2021-09-10,2,0.008171517627732616
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2159 | 2021-09-10,27,0.0028411874203977663
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2525 | 2021-09-23,3,0.017677628216050435
2526 | 2021-09-23,4,0.012748141875999625
2527 | 2021-09-23,5,0.007836212129573424
2528 | 2021-09-23,6,0.014087225009648784
2529 | 2021-09-23,7,0.05029931879171541
2530 | 2021-09-23,8,0.012958190148911797
2531 | 2021-09-23,9,0.012698013578073925
2532 | 2021-09-23,10,0.025439551890462115
2533 | 2021-09-23,11,0.006765163297045101
2534 | 2021-09-23,12,0.013270421704511943
2535 | 2021-09-23,13,0.008791333446769894
2536 | 2021-09-23,14,0.023917202991824666
2537 | 2021-09-23,15,0.05531894978237469
2538 | 2021-09-23,16,0.009492578529513289
2539 | 2021-09-23,17,0.010961764322067075
2540 | 2021-09-23,18,0.003011093502377179
2541 | 2021-09-23,19,0.00629123829983121
2542 | 2021-09-23,20,0.009934756820877818
2543 | 2021-09-23,21,0.014178782208147401
2544 | 2021-09-23,22,0.048421176194389015
2545 | 2021-09-23,23,0.005404463040446304
2546 | 2021-09-23,24,0.02990204502491837
2547 | 2021-09-23,25,0.03097789685197589
2548 | 2021-09-23,26,0.004638756813174069
2549 | 2021-09-23,27,0.0033783783783783786
2550 | 2021-09-23,28,0.015308594128475923
2551 | 2021-09-23,29,0.0035321287868496126
2552 | 2021-09-24,0,0.015515718616475304
2553 | 2021-09-24,1,0.007842942592638555
2554 | 2021-09-24,2,0.010307422244227395
2555 | 2021-09-24,3,0.01848360744544844
2556 | 2021-09-24,4,0.012420086867405202
2557 | 2021-09-24,5,0.008560090702947847
2558 | 2021-09-24,6,0.01531317921359415
2559 | 2021-09-24,7,0.04025995483835436
2560 | 2021-09-24,8,0.01377794063759619
2561 | 2021-09-24,9,0.013775708187815289
2562 | 2021-09-24,10,0.025426405559065068
2563 | 2021-09-24,11,0.006563340186620275
2564 | 2021-09-24,12,0.01411275347248013
2565 | 2021-09-24,13,0.008581334874313782
2566 | 2021-09-24,14,0.025290310735759856
2567 | 2021-09-24,15,0.04625317941694384
2568 | 2021-09-24,16,0.009303174024078804
2569 | 2021-09-24,17,0.00963020030816641
2570 | 2021-09-24,18,0.0035454375816383653
2571 | 2021-09-24,19,0.006401463191586648
2572 | 2021-09-24,20,0.010144927536231885
2573 | 2021-09-24,21,0.01892217790557462
2574 | 2021-09-24,22,0.0413181749887314
2575 | 2021-09-24,23,0.0053614666205465235
2576 | 2021-09-24,24,0.025635359116022098
2577 | 2021-09-24,25,0.026239894094841853
2578 | 2021-09-24,26,0.004994192799070848
2579 | 2021-09-24,27,0.00443560721933313
2580 | 2021-09-24,28,0.01654822335025381
2581 | 2021-09-24,29,0.003599520063991468
2582 | 2021-09-25,0,0.01558167496871396
2583 | 2021-09-25,1,0.007553975639082023
2584 | 2021-09-25,2,0.009440196356084205
2585 | 2021-09-25,3,0.018454061863794575
2586 | 2021-09-25,4,0.013160484109022926
2587 | 2021-09-25,5,0.007837271911456776
2588 | 2021-09-25,6,0.015352697095435686
2589 | 2021-09-25,7,0.04978796056617282
2590 | 2021-09-25,8,0.014206906974986777
2591 | 2021-09-25,9,0.013945460821539524
2592 | 2021-09-25,10,0.025084577935473223
2593 | 2021-09-25,11,0.007016943351018312
2594 | 2021-09-25,12,0.014085634253701481
2595 | 2021-09-25,13,0.008536695725619136
2596 | 2021-09-25,14,0.026907390828608376
2597 | 2021-09-25,15,0.05177069066718841
2598 | 2021-09-25,16,0.009153318077803204
2599 | 2021-09-25,17,0.00963020030816641
2600 | 2021-09-25,18,0.002972651605231867
2601 | 2021-09-25,19,0.006540118041154889
2602 | 2021-09-25,20,0.00999846177511152
2603 | 2021-09-25,21,0.019741457059825634
2604 | 2021-09-25,22,0.0484299093504282
2605 | 2021-09-25,23,0.005254091300602928
2606 | 2021-09-25,24,0.02906077348066298
2607 | 2021-09-25,25,0.030684128410004254
2608 | 2021-09-25,26,0.00477577169481654
2609 | 2021-09-25,27,0.004489859111317542
2610 | 2021-09-25,28,0.01752360965372508
2611 | 2021-09-25,29,0.003352423522838385
2612 | 2021-09-26,0,0.015565389897756753
2613 | 2021-09-26,1,0.007783756726317107
2614 | 2021-09-26,2,0.009757343550446999
2615 | 2021-09-26,3,0.01790091036414566
2616 | 2021-09-26,4,0.012270091963214715
2617 | 2021-09-26,5,0.008314678605692358
2618 | 2021-09-26,6,0.014612868047982551
2619 | 2021-09-26,7,0.07460592555913179
2620 | 2021-09-26,8,0.013501549358123062
2621 | 2021-09-26,9,0.014032010524007892
2622 | 2021-09-26,10,0.025855245800721134
2623 | 2021-09-26,11,0.006984240687679083
2624 | 2021-09-26,12,0.014485387547649302
2625 | 2021-09-26,13,0.008588179369355093
2626 | 2021-09-26,14,0.02737722048066876
2627 | 2021-09-26,15,0.07917414721723519
2628 | 2021-09-26,16,0.009215646119189022
2629 | 2021-09-26,17,0.009391645640594337
2630 | 2021-09-26,18,0.003583473861720067
2631 | 2021-09-26,19,0.0065239210438273664
2632 | 2021-09-26,20,0.009201543484713564
2633 | 2021-09-26,21,0.019774011299435026
2634 | 2021-09-26,22,0.07392966360856269
2635 | 2021-09-26,23,0.005399663627511728
2636 | 2021-09-26,24,0.04547550432276657
2637 | 2021-09-26,25,0.046913401763770415
2638 | 2021-09-26,26,0.004769285799451532
2639 | 2021-09-26,27,0.004366465544617339
2640 | 2021-09-26,28,0.018047673098751417
2641 | 2021-09-26,29,0.003391329991153052
2642 | 2021-09-27,0,0.015718171356836487
2643 | 2021-09-27,1,0.007783756726317107
2644 | 2021-09-27,2,0.009860923763895996
2645 | 2021-09-27,3,0.019300480062702068
2646 | 2021-09-27,4,0.012096363451156156
2647 | 2021-09-27,5,0.008339786739739084
2648 | 2021-09-27,6,0.01425047958344752
2649 | 2021-09-27,7,0.07460592555913179
2650 | 2021-09-27,8,0.013822743640376353
2651 | 2021-09-27,9,0.013919213973799126
2652 | 2021-09-27,10,0.025087887503994887
2653 | 2021-09-27,11,0.007157057654075547
2654 | 2021-09-27,12,0.013115802943058221
2655 | 2021-09-27,13,0.009571187525455287
2656 | 2021-09-27,14,0.023481973434535102
2657 | 2021-09-27,15,0.07917414721723519
2658 | 2021-09-27,16,0.00976824363148822
2659 | 2021-09-27,17,0.008994578610152784
2660 | 2021-09-27,18,0.002365930599369085
2661 | 2021-09-27,19,0.00646130728775357
2662 | 2021-09-27,20,0.010158938227101426
2663 | 2021-09-27,21,0.0195521917376222
2664 | 2021-09-27,22,0.07392966360856269
2665 | 2021-09-27,23,0.005560538116591928
2666 | 2021-09-27,24,0.04547550432276657
2667 | 2021-09-27,25,0.046913401763770415
2668 | 2021-09-27,26,0.004618376276130287
2669 | 2021-09-27,27,0.004454523365999838
2670 | 2021-09-27,28,0.018211100099108028
2671 | 2021-09-27,29,0.004203446826397646
2672 | 2021-09-28,0,0.015921600214793934
2673 | 2021-09-28,1,0.008056628056628056
2674 | 2021-09-28,2,0.010416192858767343
2675 | 2021-09-28,3,0.01932169046700116
2676 | 2021-09-28,4,0.013917085158670798
2677 | 2021-09-28,5,0.008746173549072282
2678 | 2021-09-28,6,0.012795450506486583
2679 | 2021-09-28,7,0.07460592555913179
2680 | 2021-09-28,8,0.013493922159027545
2681 | 2021-09-28,9,0.015306487375724199
2682 | 2021-09-28,10,0.02544076708939066
2683 | 2021-09-28,11,0.007596310363537711
2684 | 2021-09-28,12,0.012732945442280125
2685 | 2021-09-28,13,0.009776576472956265
2686 | 2021-09-28,14,0.022443195018818828
2687 | 2021-09-28,15,0.07917414721723519
2688 | 2021-09-28,16,0.009338366779256905
2689 | 2021-09-28,17,0.008994578610152784
2690 | 2021-09-28,18,0.0034736411932979154
2691 | 2021-09-28,19,0.006562636721598367
2692 | 2021-09-28,20,0.009883628248047185
2693 | 2021-09-28,21,0.021512457468993527
2694 | 2021-09-28,22,0.07392966360856269
2695 | 2021-09-28,23,0.005419075144508671
2696 | 2021-09-28,24,0.04547550432276657
2697 | 2021-09-28,25,0.046913401763770415
2698 | 2021-09-28,26,0.004929143561306222
2699 | 2021-09-28,27,0.004708323358071981
2700 | 2021-09-28,28,0.017529215358931552
2701 | 2021-09-28,29,0.0039603960396039604
2702 | 2021-09-29,0,0.016517568441474454
2703 | 2021-09-29,1,0.008709095593919093
2704 | 2021-09-29,2,0.01024220844872302
2705 | 2021-09-29,3,0.019670006710943468
2706 | 2021-09-29,4,0.014166096160935279
2707 | 2021-09-29,5,0.00877963125548727
2708 | 2021-09-29,6,0.013075268817204302
2709 | 2021-09-29,7,0.07460592555913179
2710 | 2021-09-29,8,0.013290857397321275
2711 | 2021-09-29,9,0.016256653718889368
2712 | 2021-09-29,10,0.026724395341893102
2713 | 2021-09-29,11,0.008020388276740873
2714 | 2021-09-29,12,0.013176024801929039
2715 | 2021-09-29,13,0.01022432047378272
2716 | 2021-09-29,14,0.02274060370888418
2717 | 2021-09-29,15,0.07917414721723519
2718 | 2021-09-29,16,0.01058970099667774
2719 | 2021-09-29,17,0.010178117048346057
2720 | 2021-09-29,18,0.0035394545075994165
2721 | 2021-09-29,19,0.006734006734006734
2722 | 2021-09-29,20,0.011278195488721804
2723 | 2021-09-29,21,0.02413479052823315
2724 | 2021-09-29,22,0.07392966360856269
2725 | 2021-09-29,23,0.005244444444444444
2726 | 2021-09-29,24,0.04547550432276657
2727 | 2021-09-29,25,0.046913401763770415
2728 | 2021-09-29,26,0.00476597824758646
2729 | 2021-09-29,27,0.004631446738362509
2730 | 2021-09-29,28,0.016860332649806332
2731 | 2021-09-29,29,0.004200168006720269
2732 | 2021-09-30,0,0.016741635836150223
2733 | 2021-09-30,1,0.00887941751021133
2734 | 2021-09-30,2,0.01094017094017094
2735 | 2021-09-30,3,0.019578245392691387
2736 | 2021-09-30,4,0.013745884074635447
2737 | 2021-09-30,5,0.009185430886011356
2738 | 2021-09-30,6,0.01533980582524272
2739 | 2021-09-30,7,0.07460592555913179
2740 | 2021-09-30,8,0.013645418326693227
2741 | 2021-09-30,9,0.01587866704642552
2742 | 2021-09-30,10,0.031072975674775072
2743 | 2021-09-30,11,0.00898027696181284
2744 | 2021-09-30,12,0.012863143157157858
2745 | 2021-09-30,13,0.010093212100417453
2746 | 2021-09-30,14,0.0224977856510186
2747 | 2021-09-30,15,0.07917414721723519
2748 | 2021-09-30,16,0.011573081868838406
2749 | 2021-09-30,17,0.010425610204832578
2750 | 2021-09-30,18,0.005445026178010471
2751 | 2021-09-30,19,0.007805182641273805
2752 | 2021-09-30,20,0.011515430677107323
2753 | 2021-09-30,21,0.024158952359449086
2754 | 2021-09-30,22,0.07392966360856269
2755 | 2021-09-30,23,0.005014515703351808
2756 | 2021-09-30,24,0.04547550432276657
2757 | 2021-09-30,25,0.046913401763770415
2758 | 2021-09-30,26,0.004715840386940749
2759 | 2021-09-30,27,0.004194826380797018
2760 | 2021-09-30,28,0.01644736842105263
2761 | 2021-09-30,29,0.004088504088504088
2762 | 2021-10-01,0,0.01652937204591492
2763 | 2021-10-01,1,0.008957319582637324
2764 | 2021-10-01,2,0.01025390625
2765 | 2021-10-01,3,0.020672929763838853
2766 | 2021-10-01,4,0.013958328046087862
2767 | 2021-10-01,5,0.009907907272149888
2768 | 2021-10-01,6,0.014662756598240468
2769 | 2021-10-01,7,0.06221824563818437
2770 | 2021-10-01,8,0.013649679683224416
2771 | 2021-10-01,9,0.015026086956521741
2772 | 2021-10-01,10,0.02966101694915254
2773 | 2021-10-01,11,0.008174159646342482
2774 | 2021-10-01,12,0.011795879989742712
2775 | 2021-10-01,13,0.011738002594033724
2776 | 2021-10-01,14,0.029864514269241853
2777 | 2021-10-01,15,0.06578489383919248
2778 | 2021-10-01,16,0.011732081911262798
2779 | 2021-10-01,17,0.010180736673530085
2780 | 2021-10-01,18,0.005451876703711469
2781 | 2021-10-01,19,0.007357545397620539
2782 | 2021-10-01,20,0.010684077756343672
2783 | 2021-10-01,21,0.023355068168346177
2784 | 2021-10-01,22,0.06252020430594167
2785 | 2021-10-01,23,0.005100246218782976
2786 | 2021-10-01,24,0.039072946070420445
2787 | 2021-10-01,25,0.04007904650157475
2788 | 2021-10-01,26,0.004860857941426661
2789 | 2021-10-01,27,0.006092322112004999
2790 | 2021-10-01,28,0.01883792048929664
2791 | 2021-10-01,29,0.00461716044632551
2792 | 2021-10-02,0,0.01602121429755262
2793 | 2021-10-02,1,0.008254316537366455
2794 | 2021-10-02,2,0.01068994009502169
2795 | 2021-10-02,3,0.02327965255860376
2796 | 2021-10-02,4,0.014088766791844141
2797 | 2021-10-02,5,0.01012186188985816
2798 | 2021-10-02,6,0.01426836672738312
2799 | 2021-10-02,7,0.06221824563818437
2800 | 2021-10-02,8,0.016352786173758044
2801 | 2021-10-02,9,0.014522517236320961
2802 | 2021-10-02,10,0.02887433201172212
2803 | 2021-10-02,11,0.007638279192273925
2804 | 2021-10-02,12,0.011827007943512798
2805 | 2021-10-02,13,0.011707517458578665
2806 | 2021-10-02,14,0.03263979193758128
2807 | 2021-10-02,15,0.06578489383919248
2808 | 2021-10-02,16,0.011625307399955286
2809 | 2021-10-02,17,0.010180736673530085
2810 | 2021-10-02,18,0.005334518781951545
2811 | 2021-10-02,19,0.0076361221779548474
2812 | 2021-10-02,20,0.010294538175579068
2813 | 2021-10-02,21,0.022632226322263225
2814 | 2021-10-02,22,0.06252020430594167
2815 | 2021-10-02,23,0.005226789510985116
2816 | 2021-10-02,24,0.039072946070420445
2817 | 2021-10-02,25,0.04007904650157475
2818 | 2021-10-02,26,0.004673471897675563
2819 | 2021-10-02,27,0.006227047740699346
2820 | 2021-10-02,28,0.01968605249613999
2821 | 2021-10-02,29,0.004640063635158426
2822 | 2021-10-03,0,0.015390294460061902
2823 | 2021-10-03,1,0.008912900394910049
2824 | 2021-10-03,2,0.01102818313467751
2825 | 2021-10-03,3,0.02290055400142614
2826 | 2021-10-03,4,0.014294056414553025
2827 | 2021-10-03,5,0.010415938483047886
2828 | 2021-10-03,6,0.014790024829968692
2829 | 2021-10-03,7,0.10453212613817582
2830 | 2021-10-03,8,0.016692388920477624
2831 | 2021-10-03,9,0.013801659300612544
2832 | 2021-10-03,10,0.029722222222222223
2833 | 2021-10-03,11,0.007895738203957382
2834 | 2021-10-03,12,0.012110890339672626
2835 | 2021-10-03,13,0.011854236792038637
2836 | 2021-10-03,14,0.03333333333333333
2837 | 2021-10-03,15,0.11055776892430279
2838 | 2021-10-03,16,0.010717614165890028
2839 | 2021-10-03,17,0.012410440122824974
2840 | 2021-10-03,18,0.006563525550867324
2841 | 2021-10-03,19,0.00752142732202204
2842 | 2021-10-03,20,0.010090817356205853
2843 | 2021-10-03,21,0.022547770700636946
2844 | 2021-10-03,22,0.10601777059773827
2845 | 2021-10-03,23,0.0054585152838427945
2846 | 2021-10-03,24,0.07610387482591956
2847 | 2021-10-03,25,0.06742667835915424
2848 | 2021-10-03,26,0.004749069439096393
2849 | 2021-10-03,27,0.005710975004138388
2850 | 2021-10-03,28,0.020489977728285078
2851 | 2021-10-03,29,0.004420500069070314
2852 | 2021-10-04,0,0.015221670779382815
2853 | 2021-10-04,1,0.008693162593373415
2854 | 2021-10-04,2,0.010723463135006918
2855 | 2021-10-04,3,0.02362041372769842
2856 | 2021-10-04,4,0.014077594668595341
2857 | 2021-10-04,5,0.009345794392523364
2858 | 2021-10-04,6,0.014597805295479712
2859 | 2021-10-04,7,0.10453212613817582
2860 | 2021-10-04,8,0.017230902777777776
2861 | 2021-10-04,9,0.0146371369453598
2862 | 2021-10-04,10,0.027959301844652163
2863 | 2021-10-04,11,0.007375381485249238
2864 | 2021-10-04,12,0.012309116149930587
2865 | 2021-10-04,13,0.01257054033048356
2866 | 2021-10-04,14,0.02762901655306719
2867 | 2021-10-04,15,0.11055776892430279
2868 | 2021-10-04,16,0.011612326931665922
2869 | 2021-10-04,17,0.011463550361713967
2870 | 2021-10-04,18,0.006278026905829597
2871 | 2021-10-04,19,0.007161043921069383
2872 | 2021-10-04,20,0.010328068043742407
2873 | 2021-10-04,21,0.02246636217750895
2874 | 2021-10-04,22,0.10601777059773827
2875 | 2021-10-04,23,0.005394345238095239
2876 | 2021-10-04,24,0.07610387482591956
2877 | 2021-10-04,25,0.06742667835915424
2878 | 2021-10-04,26,0.004880622609154465
2879 | 2021-10-04,27,0.005879345603271984
2880 | 2021-10-04,28,0.02258385918299568
2881 | 2021-10-04,29,0.004427083333333333
2882 | 2021-10-05,0,0.015282248248627301
2883 | 2021-10-05,1,0.008556068751419703
2884 | 2021-10-05,2,0.01085205193820491
2885 | 2021-10-05,3,0.024266098484848484
2886 | 2021-10-05,4,0.01536025336500396
2887 | 2021-10-05,5,0.010444601270289344
2888 | 2021-10-05,6,0.013964543923937802
2889 | 2021-10-05,7,0.10453212613817582
2890 | 2021-10-05,8,0.016700935755948134
2891 | 2021-10-05,9,0.01655237644833294
2892 | 2021-10-05,10,0.028851518291224995
2893 | 2021-10-05,11,0.0076872210282691355
2894 | 2021-10-05,12,0.011744152188682909
2895 | 2021-10-05,13,0.012594541269319302
2896 | 2021-10-05,14,0.028298442064264847
2897 | 2021-10-05,15,0.11055776892430279
2898 | 2021-10-05,16,0.011505048133364641
2899 | 2021-10-05,17,0.011463550361713967
2900 | 2021-10-05,18,0.006627218934911244
2901 | 2021-10-05,19,0.007369875633348687
2902 | 2021-10-05,20,0.010920673441528894
2903 | 2021-10-05,21,0.023842216951691426
2904 | 2021-10-05,22,0.10601777059773827
2905 | 2021-10-05,23,0.005573398828641602
2906 | 2021-10-05,24,0.07610387482591956
2907 | 2021-10-05,25,0.06742667835915424
2908 | 2021-10-05,26,0.005138607167004733
2909 | 2021-10-05,27,0.006578392510753142
2910 | 2021-10-05,28,0.02094573151380514
2911 | 2021-10-05,29,0.0038487661308580483
2912 | 2021-10-06,0,0.016413448044420038
2913 | 2021-10-06,1,0.008645982084901986
2914 | 2021-10-06,2,0.010874025441116127
2915 | 2021-10-06,3,0.024683179723502306
2916 | 2021-10-06,4,0.016196266893237395
2917 | 2021-10-06,5,0.010611205432937181
2918 | 2021-10-06,6,0.01619710277175773
2919 | 2021-10-06,7,0.10453212613817582
2920 | 2021-10-06,8,0.016396590123646415
2921 | 2021-10-06,9,0.016830968982928587
2922 | 2021-10-06,10,0.019225576497272776
2923 | 2021-10-06,11,0.008773516642547033
2924 | 2021-10-06,12,0.01173078834874242
2925 | 2021-10-06,13,0.015364061456245826
2926 | 2021-10-06,14,0.03384378714775191
2927 | 2021-10-06,15,0.11055776892430279
2928 | 2021-10-06,16,0.012771084337349397
2929 | 2021-10-06,17,0.013719512195121953
2930 | 2021-10-06,18,0.007313505607020965
2931 | 2021-10-06,19,0.007684597393919145
2932 | 2021-10-06,20,0.01099706744868035
2933 | 2021-10-06,21,0.025508889461479
2934 | 2021-10-06,22,0.10601777059773827
2935 | 2021-10-06,23,0.005601983653228028
2936 | 2021-10-06,24,0.07610387482591956
2937 | 2021-10-06,25,0.06742667835915424
2938 | 2021-10-06,26,0.004945862852559818
2939 | 2021-10-06,27,0.006645084341455104
2940 | 2021-10-06,28,0.020596698470392246
2941 | 2021-10-06,29,0.004410629617377881
2942 | 2021-10-07,0,0.01675856514466266
2943 | 2021-10-07,1,0.007896293628951362
2944 | 2021-10-07,2,0.010474175739125947
2945 | 2021-10-07,3,0.025913520097442144
2946 | 2021-10-07,4,0.014964439626682178
2947 | 2021-10-07,5,0.01027520298914996
2948 | 2021-10-07,6,0.017215130577350978
2949 | 2021-10-07,7,0.039816863007356346
2950 | 2021-10-07,8,0.01687564072234051
2951 | 2021-10-07,9,0.016573239093346334
2952 | 2021-10-07,10,0.01911204165995598
2953 | 2021-10-07,11,0.008187134502923977
2954 | 2021-10-07,12,0.01147689519782543
2955 | 2021-10-07,13,0.01660596600763094
2956 | 2021-10-07,14,0.03390317483120241
2957 | 2021-10-07,15,0.0330983757278578
2958 | 2021-10-07,16,0.012698412698412698
2959 | 2021-10-07,17,0.013719512195121953
2960 | 2021-10-07,18,0.005973120955699353
2961 | 2021-10-07,19,0.00829462508294625
2962 | 2021-10-07,20,0.010675129832660129
2963 | 2021-10-07,21,0.026637965828064037
2964 | 2021-10-07,22,0.04230613893376413
2965 | 2021-10-07,23,0.005655479325050992
2966 | 2021-10-07,24,0.028835913819939378
2967 | 2021-10-07,25,0.023287537756991137
2968 | 2021-10-07,26,0.00486815415821501
2969 | 2021-10-07,27,0.006367782462782893
2970 | 2021-10-07,28,0.02132027795325332
2971 | 2021-10-07,29,0.004879749041477866
2972 | 2021-10-08,0,0.01698567625808087
2973 | 2021-10-08,1,0.008284298544441003
2974 | 2021-10-08,2,0.010776198656879588
2975 | 2021-10-08,3,0.02836522322927157
2976 | 2021-10-08,4,0.015470869806680243
2977 | 2021-10-08,5,0.010580080262677856
2978 | 2021-10-08,6,0.01771489715848294
2979 | 2021-10-08,7,0.03364778507151241
2980 | 2021-10-08,8,0.019684333243655275
2981 | 2021-10-08,9,0.015800794176042358
2982 | 2021-10-08,10,0.018324466655919178
2983 | 2021-10-08,11,0.008529762450701642
2984 | 2021-10-08,12,0.009192645883293365
2985 | 2021-10-08,13,0.01736174070716228
2986 | 2021-10-08,14,0.03584558823529412
2987 | 2021-10-08,15,0.027842227378190258
2988 | 2021-10-08,16,0.01097560975609756
2989 | 2021-10-08,17,0.013427865506499086
2990 | 2021-10-08,18,0.006430868167202571
2991 | 2021-10-08,19,0.00873886223440713
2992 | 2021-10-08,20,0.010488993942975328
2993 | 2021-10-08,21,0.02608933205846196
2994 | 2021-10-08,22,0.03607093663911846
2995 | 2021-10-08,23,0.005988023952095808
2996 | 2021-10-08,24,0.024828948296536642
2997 | 2021-10-08,25,0.020119538681707214
2998 | 2021-10-08,26,0.005087309225904029
2999 | 2021-10-08,27,0.008864790429468973
3000 | 2021-10-08,28,0.021908967391304348
3001 | 2021-10-08,29,0.004555808656036446
3002 | 2021-10-09,0,0.017319815428608568
3003 | 2021-10-09,1,0.008243552073130917
3004 | 2021-10-09,2,0.011109882821136416
3005 | 2021-10-09,3,0.029786330833451256
3006 | 2021-10-09,4,0.015506136188936306
3007 | 2021-10-09,5,0.009864364981504316
3008 | 2021-10-09,6,0.017170586039567004
3009 | 2021-10-09,7,0.03364778507151241
3010 | 2021-10-09,8,0.019515720997470187
3011 | 2021-10-09,9,0.015172776705841079
3012 | 2021-10-09,10,0.01761175612765719
3013 | 2021-10-09,11,0.008852140077821011
3014 | 2021-10-09,12,0.00939626309536667
3015 | 2021-10-09,13,0.017466822794691646
3016 | 2021-10-09,14,0.03773738029540659
3017 | 2021-10-09,15,0.027842227378190258
3018 | 2021-10-09,16,0.010167768174885612
3019 | 2021-10-09,17,0.013427865506499086
3020 | 2021-10-09,18,0.006799163179916317
3021 | 2021-10-09,19,0.008497559211715784
3022 | 2021-10-09,20,0.00941346850108617
3023 | 2021-10-09,21,0.02591729761211415
3024 | 2021-10-09,22,0.03607093663911846
3025 | 2021-10-09,23,0.006270188105643169
3026 | 2021-10-09,24,0.024828948296536642
3027 | 2021-10-09,25,0.020119538681707214
3028 | 2021-10-09,26,0.0053566394135889485
3029 | 2021-10-09,27,0.009329710144927537
3030 | 2021-10-09,28,0.023423091110291405
3031 | 2021-10-09,29,0.00462085308056872
3032 | 2021-10-10,0,0.01703866082104424
3033 | 2021-10-10,1,0.008586048394090948
3034 | 2021-10-10,2,0.01076086320837476
3035 | 2021-10-10,3,0.029013961605584646
3036 | 2021-10-10,4,0.016243736867625664
3037 | 2021-10-10,5,0.009407413363351292
3038 | 2021-10-10,6,0.01719611446573904
3039 | 2021-10-10,7,0.04949798554709983
3040 | 2021-10-10,8,0.02071106368530824
3041 | 2021-10-10,9,0.015594359884209543
3042 | 2021-10-10,10,0.017319804058782366
3043 | 2021-10-10,11,0.008795529801324503
3044 | 2021-10-10,12,0.009555606723463044
3045 | 2021-10-10,13,0.018165637106062192
3046 | 2021-10-10,14,0.03830785267546907
3047 | 2021-10-10,15,0.04297224709042077
3048 | 2021-10-10,16,0.010385351188849413
3049 | 2021-10-10,17,0.013136479888398046
3050 | 2021-10-10,18,0.007319819819819819
3051 | 2021-10-10,19,0.008663842895648826
3052 | 2021-10-10,20,0.009333333333333334
3053 | 2021-10-10,21,0.02739075364154528
3054 | 2021-10-10,22,0.05961866818440523
3055 | 2021-10-10,23,0.006423559640280661
3056 | 2021-10-10,24,0.040520317716127546
3057 | 2021-10-10,25,0.03314840499306519
3058 | 2021-10-10,26,0.005606373561522573
3059 | 2021-10-10,27,0.007879185817465528
3060 | 2021-10-10,28,0.024203069657615112
3061 | 2021-10-10,29,0.004597986827389089
3062 | 2021-10-11,0,0.017688679245283022
3063 | 2021-10-11,1,0.008425949857844405
3064 | 2021-10-11,2,0.01076086320837476
3065 | 2021-10-11,3,0.02895458701615361
3066 | 2021-10-11,4,0.014551932036174295
3067 | 2021-10-11,5,0.00857805255023184
3068 | 2021-10-11,6,0.020084011551588343
3069 | 2021-10-11,7,0.03645200486026732
3070 | 2021-10-11,8,0.021111342785654713
3071 | 2021-10-11,9,0.014910714285714286
3072 | 2021-10-11,10,0.01735110144139244
3073 | 2021-10-11,11,0.008128612716763007
3074 | 2021-10-11,12,0.00768716577540107
3075 | 2021-10-11,13,0.018277260796945836
3076 | 2021-10-11,14,0.03208513992905006
3077 | 2021-10-11,15,0.025962399283795883
3078 | 2021-10-11,16,0.011096774193548388
3079 | 2021-10-11,17,0.012394595143756983
3080 | 2021-10-11,18,0.0076128330614464385
3081 | 2021-10-11,19,0.008663842895648826
3082 | 2021-10-11,20,0.009060706735125339
3083 | 2021-10-11,21,0.024985557481224725
3084 | 2021-10-11,22,0.03201479795105293
3085 | 2021-10-11,23,0.006629168340699075
3086 | 2021-10-11,24,0.026821687579141242
3087 | 2021-10-11,25,0.019001386962552012
3088 | 2021-10-11,26,0.005546394843351821
3089 | 2021-10-11,27,0.008128507838203987
3090 | 2021-10-11,28,0.02449936088623775
3091 | 2021-10-11,29,0.004355503237198352
3092 | 2021-10-12,0,0.01756990843850532
3093 | 2021-10-12,1,0.00932440450962109
3094 | 2021-10-12,2,0.010304545222669999
3095 | 2021-10-12,3,0.029821902235695343
3096 | 2021-10-12,4,0.015211455953641278
3097 | 2021-10-12,5,0.009172885572139302
3098 | 2021-10-12,6,0.017533606078316773
3099 | 2021-10-12,7,0.03645200486026732
3100 | 2021-10-12,8,0.020458183273309324
3101 | 2021-10-12,9,0.015600186828584776
3102 | 2021-10-12,10,0.017721117223867964
3103 | 2021-10-12,11,0.008063801506424457
3104 | 2021-10-12,12,0.006529089425206949
3105 | 2021-10-12,13,0.018099758049506795
3106 | 2021-10-12,14,0.0317932296431839
3107 | 2021-10-12,15,0.025962399283795883
3108 | 2021-10-12,16,0.011235955056179775
3109 | 2021-10-12,17,0.012394595143756983
3110 | 2021-10-12,18,0.007936507936507936
3111 | 2021-10-12,19,0.008555611474584801
3112 | 2021-10-12,20,0.01159650516282764
3113 | 2021-10-12,21,0.024918126156913002
3114 | 2021-10-12,22,0.03201479795105293
3115 | 2021-10-12,23,0.0065477989322050975
3116 | 2021-10-12,24,0.026821687579141242
3117 | 2021-10-12,25,0.019001386962552012
3118 | 2021-10-12,26,0.005650580329871716
3119 | 2021-10-12,27,0.008435136707388017
3120 | 2021-10-12,28,0.023357086302454474
3121 | 2021-10-12,29,0.003938231941133796
3122 | 2021-10-13,0,0.018031395842172254
3123 | 2021-10-13,1,0.010344233090052295
3124 | 2021-10-13,2,0.010955399844288732
3125 | 2021-10-13,3,0.03019292954983105
3126 | 2021-10-13,4,0.015423950198704944
3127 | 2021-10-13,5,0.010052950656127695
3128 | 2021-10-13,6,0.02005991923928618
3129 | 2021-10-13,7,0.03645200486026732
3130 | 2021-10-13,8,0.02013579957855303
3131 | 2021-10-13,9,0.015280135823429542
3132 | 2021-10-13,10,0.017961084317312487
3133 | 2021-10-13,11,0.008231594524602294
3134 | 2021-10-13,12,0.00673520028358738
3135 | 2021-10-13,13,0.019781533612303677
3136 | 2021-10-13,14,0.03814594972067039
3137 | 2021-10-13,15,0.025962399283795883
3138 | 2021-10-13,16,0.011420612813370474
3139 | 2021-10-13,17,0.013843567685157718
3140 | 2021-10-13,18,0.007857974388824214
3141 | 2021-10-13,19,0.009564097848077983
3142 | 2021-10-13,20,0.011759384893713252
3143 | 2021-10-13,21,0.024429490930368638
3144 | 2021-10-13,22,0.03201479795105293
3145 | 2021-10-13,23,0.00626491646778043
3146 | 2021-10-13,24,0.026821687579141242
3147 | 2021-10-13,25,0.019001386962552012
3148 | 2021-10-13,26,0.0056154196387919264
3149 | 2021-10-13,27,0.008477053493130663
3150 | 2021-10-13,28,0.022418990203466466
3151 | 2021-10-13,29,0.004140786749482402
3152 | 2021-10-14,0,0.01807207527072608
3153 | 2021-10-14,1,0.00992671746810312
3154 | 2021-10-14,2,0.01137631050635735
3155 | 2021-10-14,3,0.03147709018587929
3156 | 2021-10-14,4,0.014461732663757857
3157 | 2021-10-14,5,0.010165575664227955
3158 | 2021-10-14,6,0.021305285868392667
3159 | 2021-10-14,7,0.03645200486026732
3160 | 2021-10-14,8,0.01897515812631772
3161 | 2021-10-14,9,0.015042573320719014
3162 | 2021-10-14,10,0.018564837974542826
3163 | 2021-10-14,11,0.008346471297412594
3164 | 2021-10-14,12,0.006647328982354363
3165 | 2021-10-14,13,0.021041468995925655
3166 | 2021-10-14,14,0.03749669923422234
3167 | 2021-10-14,15,0.025962399283795883
3168 | 2021-10-14,16,0.012612107623318386
3169 | 2021-10-14,17,0.013843567685157718
3170 | 2021-10-14,18,0.010388839418224993
3171 | 2021-10-14,19,0.009235784136182543
3172 | 2021-10-14,20,0.011920727164357025
3173 | 2021-10-14,21,0.024786072587784005
3174 | 2021-10-14,22,0.03201479795105293
3175 | 2021-10-14,23,0.006638749872331733
3176 | 2021-10-14,24,0.026821687579141242
3177 | 2021-10-14,25,0.019001386962552012
3178 | 2021-10-14,26,0.005128205128205127
3179 | 2021-10-14,27,0.008236578346730177
3180 | 2021-10-14,28,0.02120686331212647
3181 | 2021-10-14,29,0.00484528135667878
3182 | 2021-10-15,0,0.01762640703608527
3183 | 2021-10-15,1,0.009101120359436651
3184 | 2021-10-15,2,0.011517615176151762
3185 | 2021-10-15,3,0.030189251716160354
3186 | 2021-10-15,4,0.014589830508474575
3187 | 2021-10-15,5,0.010121457489878543
3188 | 2021-10-15,6,0.021105664488017428
3189 | 2021-10-15,7,0.038871951219512195
3190 | 2021-10-15,8,0.019435208167470613
3191 | 2021-10-15,9,0.01519785891798891
3192 | 2021-10-15,10,0.017856146420400648
3193 | 2021-10-15,11,0.008310249307479225
3194 | 2021-10-15,12,0.0054677285153928445
3195 | 2021-10-15,13,0.021655243909462652
3196 | 2021-10-15,14,0.03776759839207254
3197 | 2021-10-15,15,0.029653897849462364
3198 | 2021-10-15,16,0.0126787159428109
3199 | 2021-10-15,17,0.013183034008406572
3200 | 2021-10-15,18,0.01252236135957066
3201 | 2021-10-15,19,0.008913953065308351
3202 | 2021-10-15,20,0.012137763617053557
3203 | 2021-10-15,21,0.025386144670438905
3204 | 2021-10-15,22,0.03521713265913147
3205 | 2021-10-15,23,0.0067875595177793535
3206 | 2021-10-15,24,0.03212576896787423
3207 | 2021-10-15,25,0.023577712609970675
3208 | 2021-10-15,26,0.005014102162331558
3209 | 2021-10-15,27,0.010427315477407485
3210 | 2021-10-15,28,0.021567814184985483
3211 | 2021-10-15,29,0.005165178091036264
3212 | 2021-10-16,0,0.017421732494509175
3213 | 2021-10-16,1,0.009248589969070289
3214 | 2021-10-16,2,0.01180398235364254
3215 | 2021-10-16,3,0.03025896962313829
3216 | 2021-10-16,4,0.013947847180109156
3217 | 2021-10-16,5,0.010353176922434666
3218 | 2021-10-16,6,0.021099468924931822
3219 | 2021-10-16,7,0.038871951219512195
3220 | 2021-10-16,8,0.018531911046826974
3221 | 2021-10-16,9,0.01621952463531572
3222 | 2021-10-16,10,0.016703144798986293
3223 | 2021-10-16,11,0.00871114630766185
3224 | 2021-10-16,12,0.0049076585302854185
3225 | 2021-10-16,13,0.021732513544773846
3226 | 2021-10-16,14,0.03950227138060439
3227 | 2021-10-16,15,0.029653897849462364
3228 | 2021-10-16,16,0.012877939529675251
3229 | 2021-10-16,17,0.013183034008406572
3230 | 2021-10-16,18,0.012658227848101264
3231 | 2021-10-16,19,0.008692292833687464
3232 | 2021-10-16,20,0.01164549304295221
3233 | 2021-10-16,21,0.025824265064154618
3234 | 2021-10-16,22,0.03521713265913147
3235 | 2021-10-16,23,0.006742261722341403
3236 | 2021-10-16,24,0.03212576896787423
3237 | 2021-10-16,25,0.023577712609970675
3238 | 2021-10-16,26,0.004480716914706353
3239 | 2021-10-16,27,0.010714285714285714
3240 | 2021-10-16,28,0.02017167381974249
3241 | 2021-10-16,29,0.0051385165326184095
3242 | 2021-10-17,0,0.016842586594520443
3243 | 2021-10-17,1,0.009010736196319018
3244 | 2021-10-17,2,0.011437598736176936
3245 | 2021-10-17,3,0.03316175465767776
3246 | 2021-10-17,4,0.014679702320151759
3247 | 2021-10-17,5,0.01009736747205193
3248 | 2021-10-17,6,0.020552147239263806
3249 | 2021-10-17,7,0.06420863309352519
3250 | 2021-10-17,8,0.0210075140226479
3251 | 2021-10-17,9,0.015184148180055998
3252 | 2021-10-17,10,0.016430527443743303
3253 | 2021-10-17,11,0.009128630705394191
3254 | 2021-10-17,12,0.0035773252614199227
3255 | 2021-10-17,13,0.0226076788150458
3256 | 2021-10-17,14,0.04105352953721476
3257 | 2021-10-17,15,0.04574909279419388
3258 | 2021-10-17,16,0.013723150357995227
3259 | 2021-10-17,17,0.013114415530772408
3260 | 2021-10-17,18,0.013929381276320053
3261 | 2021-10-17,19,0.008899006622516557
3262 | 2021-10-17,20,0.011282207653605733
3263 | 2021-10-17,21,0.023649781952364977
3264 | 2021-10-17,22,0.05405405405405406
3265 | 2021-10-17,23,0.006979893738931139
3266 | 2021-10-17,24,0.05167268729385896
3267 | 2021-10-17,25,0.03799621928166352
3268 | 2021-10-17,26,0.003908794788273616
3269 | 2021-10-17,27,0.009775605421017552
3270 | 2021-10-17,28,0.01837985023825732
3271 | 2021-10-17,29,0.00502453844356158
3272 | 2021-10-18,0,0.017327505463627848
3273 | 2021-10-18,1,0.008845180249643574
3274 | 2021-10-18,2,0.010978493412903951
3275 | 2021-10-18,3,0.0323153907309545
3276 | 2021-10-18,4,0.014265820826241685
3277 | 2021-10-18,5,0.009796176331173962
3278 | 2021-10-18,6,0.020038964653492905
3279 | 2021-10-18,7,0.04388489208633094
3280 | 2021-10-18,8,0.020002116626098
3281 | 2021-10-18,9,0.014008308376002318
3282 | 2021-10-18,10,0.01670334631228486
3283 | 2021-10-18,11,0.008935289691497365
3284 | 2021-10-18,12,0.0068067828994506805
3285 | 2021-10-18,13,0.02265717674970344
3286 | 2021-10-18,14,0.03327363559242153
3287 | 2021-10-18,15,0.0383618455158113
3288 | 2021-10-18,16,0.013288170922355394
3289 | 2021-10-18,17,0.012792195840235599
3290 | 2021-10-18,18,0.014355440712029858
3291 | 2021-10-18,19,0.008169327887114743
3292 | 2021-10-18,20,0.012185345518678852
3293 | 2021-10-18,21,0.02139274122159929
3294 | 2021-10-18,22,0.038349159970781595
3295 | 2021-10-18,23,0.007493483927019983
3296 | 2021-10-18,24,0.04476205434270457
3297 | 2021-10-18,25,0.031190926275992438
3298 | 2021-10-18,26,0.0040574809805579036
3299 | 2021-10-18,27,0.010067497997940739
3300 | 2021-10-18,28,0.018581907090464547
3301 | 2021-10-18,29,0.005231522707034728
3302 | 2021-10-19,0,0.017152590714625257
3303 | 2021-10-19,1,0.008784544204076528
3304 | 2021-10-19,2,0.011108702720277447
3305 | 2021-10-19,3,0.03517316017316017
3306 | 2021-10-19,4,0.01634384362115504
3307 | 2021-10-19,5,0.010053360142293712
3308 | 2021-10-19,6,0.02000544365813827
3309 | 2021-10-19,7,0.04388489208633094
3310 | 2021-10-19,8,0.023422090729783036
3311 | 2021-10-19,9,0.014881516587677725
3312 | 2021-10-19,10,0.01656461841242073
3313 | 2021-10-19,11,0.00938103559275269
3314 | 2021-10-19,12,0.007681564245810055
3315 | 2021-10-19,13,0.02245752850826158
3316 | 2021-10-19,14,0.03247470101195952
3317 | 2021-10-19,15,0.0383618455158113
3318 | 2021-10-19,16,0.012875536480686697
3319 | 2021-10-19,17,0.012792195840235599
3320 | 2021-10-19,18,0.01430173864273696
3321 | 2021-10-19,19,0.008362369337979094
3322 | 2021-10-19,20,0.011941687344913153
3323 | 2021-10-19,21,0.02189166432781364
3324 | 2021-10-19,22,0.038349159970781595
3325 | 2021-10-19,23,0.007687239182956293
3326 | 2021-10-19,24,0.04476205434270457
3327 | 2021-10-19,25,0.031190926275992438
3328 | 2021-10-19,26,0.004812650395324854
3329 | 2021-10-19,27,0.0105480394404953
3330 | 2021-10-19,28,0.01731701685522974
3331 | 2021-10-19,29,0.0052435212261772715
3332 | 2021-10-20,0,0.017179165359272042
3333 | 2021-10-20,1,0.008847959552184904
3334 | 2021-10-20,2,0.01119898400969809
3335 | 2021-10-20,3,0.03673307954713996
3336 | 2021-10-20,4,0.01783207383733086
3337 | 2021-10-20,5,0.010946555054732774
3338 | 2021-10-20,6,0.02227979274611399
3339 | 2021-10-20,7,0.04388489208633094
3340 | 2021-10-20,8,0.023043075497915705
3341 | 2021-10-20,9,0.0173223066607063
3342 | 2021-10-20,10,0.01681633586913001
3343 | 2021-10-20,11,0.009661354581673307
3344 | 2021-10-20,12,0.01122365179304681
3345 | 2021-10-20,13,0.02321981424148607
3346 | 2021-10-20,14,0.04020262987712869
3347 | 2021-10-20,15,0.0383618455158113
3348 | 2021-10-20,16,0.013469985358711566
3349 | 2021-10-20,17,0.013733984699050603
3350 | 2021-10-20,18,0.020895522388059702
3351 | 2021-10-20,19,0.008574091332712022
3352 | 2021-10-20,20,0.012202470623681832
3353 | 2021-10-20,21,0.025755879059350503
3354 | 2021-10-20,22,0.038349159970781595
3355 | 2021-10-20,23,0.007835455435847209
3356 | 2021-10-20,24,0.04476205434270457
3357 | 2021-10-20,25,0.031190926275992438
3358 | 2021-10-20,26,0.005116834385127068
3359 | 2021-10-20,27,0.0103954802259887
3360 | 2021-10-20,28,0.017984014209591472
3361 | 2021-10-20,29,0.00510204081632653
3362 | 2021-10-21,0,0.017976031957390146
3363 | 2021-10-21,1,0.00862393376818866
3364 | 2021-10-21,2,0.010441033833514007
3365 | 2021-10-21,3,0.03678011777622517
3366 | 2021-10-21,4,0.016977829638273045
3367 | 2021-10-21,5,0.011331444759206798
3368 | 2021-10-21,6,0.0224527980949141
3369 | 2021-10-21,7,0.04388489208633094
3370 | 2021-10-21,8,0.02417333174167363
3371 | 2021-10-21,9,0.017013851019740428
3372 | 2021-10-21,10,0.01714383679067375
3373 | 2021-10-21,11,0.009037900874635569
3374 | 2021-10-21,12,0.0156024649272322
3375 | 2021-10-21,13,0.0240155631582478
3376 | 2021-10-21,14,0.04176334106728538
3377 | 2021-10-21,15,0.0383618455158113
3378 | 2021-10-21,16,0.012478235635519443
3379 | 2021-10-21,17,0.013733984699050603
3380 | 2021-10-21,18,0.02190507799535347
3381 | 2021-10-21,19,0.008836524300441826
3382 | 2021-10-21,20,0.013723978411719353
3383 | 2021-10-21,21,0.024738344433872503
3384 | 2021-10-21,22,0.038349159970781595
3385 | 2021-10-21,23,0.008243570015387997
3386 | 2021-10-21,24,0.04476205434270457
3387 | 2021-10-21,25,0.031190926275992438
3388 | 2021-10-21,26,0.0046761343955663325
3389 | 2021-10-21,27,0.010205264988982953
3390 | 2021-10-21,28,0.01931580172213172
3391 | 2021-10-21,29,0.005604052160793189
3392 | 2021-10-22,0,0.017709237201230573
3393 | 2021-10-22,1,0.008116729305498532
3394 | 2021-10-22,2,0.010480992578324173
3395 | 2021-10-22,3,0.04008946044171093
3396 | 2021-10-22,4,0.017405109810954635
3397 | 2021-10-22,5,0.012042569081404032
3398 | 2021-10-22,6,0.024233784746970775
3399 | 2021-10-22,7,0.0369529001968802
3400 | 2021-10-22,8,0.027539533637094615
3401 | 2021-10-22,9,0.016594275531796415
3402 | 2021-10-22,10,0.015873925501432663
3403 | 2021-10-22,11,0.008463035019455252
3404 | 2021-10-22,12,0.019088430074016362
3405 | 2021-10-22,13,0.024854722397255478
3406 | 2021-10-22,14,0.04235321420283128
3407 | 2021-10-22,15,0.03221593382673052
3408 | 2021-10-22,16,0.011098463289698348
3409 | 2021-10-22,17,0.013175953884161406
3410 | 2021-10-22,18,0.021731972341126112
3411 | 2021-10-22,19,0.008647654093836247
3412 | 2021-10-22,20,0.012691533818294382
3413 | 2021-10-22,21,0.022048475371383894
3414 | 2021-10-22,22,0.032437442075996296
3415 | 2021-10-22,23,0.008291316526610644
3416 | 2021-10-22,24,0.03694581280788178
3417 | 2021-10-22,25,0.0261572606214331
3418 | 2021-10-22,26,0.005293806246691371
3419 | 2021-10-22,27,0.014030915576694409
3420 | 2021-10-22,28,0.01972386587771203
3421 | 2021-10-22,29,0.005197836002970193
3422 | 2021-10-23,0,0.017356528694261148
3423 | 2021-10-23,1,0.00791697159204311
3424 | 2021-10-23,2,0.010428528618519629
3425 | 2021-10-23,3,0.04132134936383799
3426 | 2021-10-23,4,0.01735229888449507
3427 | 2021-10-23,5,0.011486353818967211
3428 | 2021-10-23,6,0.0252133436772692
3429 | 2021-10-23,7,0.0369529001968802
3430 | 2021-10-23,8,0.027350192413413965
3431 | 2021-10-23,9,0.016688520681845273
3432 | 2021-10-23,10,0.014854143053152776
3433 | 2021-10-23,11,0.008504098360655738
3434 | 2021-10-23,12,0.020264681555004136
3435 | 2021-10-23,13,0.025483895075106493
3436 | 2021-10-23,14,0.04475064016583343
3437 | 2021-10-23,15,0.03221593382673052
3438 | 2021-10-23,16,0.010739856801909309
3439 | 2021-10-23,17,0.013175953884161406
3440 | 2021-10-23,18,0.019784796945505032
3441 | 2021-10-23,19,0.008081585530113526
3442 | 2021-10-23,20,0.01243781094527363
3443 | 2021-10-23,21,0.02181694221919209
3444 | 2021-10-23,22,0.032437442075996296
3445 | 2021-10-23,23,0.008595003438001375
3446 | 2021-10-23,24,0.03694581280788178
3447 | 2021-10-23,25,0.0261572606214331
3448 | 2021-10-23,26,0.005578549577109951
3449 | 2021-10-23,27,0.014425427872860634
3450 | 2021-10-23,28,0.02029664324746292
3451 | 2021-10-23,29,0.005080627347028938
3452 | 2021-10-24,0,0.017297076262522998
3453 | 2021-10-24,1,0.007738179752946188
3454 | 2021-10-24,2,0.010600932371160355
3455 | 2021-10-24,3,0.03992204570956121
3456 | 2021-10-24,4,0.017081894425259002
3457 | 2021-10-24,5,0.010902294673450316
3458 | 2021-10-24,6,0.026086956521739132
3459 | 2021-10-24,7,0.05822694189237561
3460 | 2021-10-24,8,0.02792269821441693
3461 | 2021-10-24,9,0.01683937823834197
3462 | 2021-10-24,10,0.014798372179060302
3463 | 2021-10-24,11,0.008220078912757561
3464 | 2021-10-24,12,0.021894548704200177
3465 | 2021-10-24,13,0.02572449384676459
3466 | 2021-10-24,14,0.043833865814696484
3467 | 2021-10-24,15,0.05114912735441507
3468 | 2021-10-24,16,0.011086474501108647
3469 | 2021-10-24,17,0.012702893436838392
3470 | 2021-10-24,18,0.020415738678544914
3471 | 2021-10-24,19,0.008072653884964682
3472 | 2021-10-24,20,0.012872083668543846
3473 | 2021-10-24,21,0.02157001414427157
3474 | 2021-10-24,22,0.051382432101786155
3475 | 2021-10-24,23,0.008640822045773005
3476 | 2021-10-24,24,0.0585095462943954
3477 | 2021-10-24,25,0.04178272980501393
3478 | 2021-10-24,26,0.00551166636046298
3479 | 2021-10-24,27,0.011930448026399289
3480 | 2021-10-24,28,0.0195578231292517
3481 | 2021-10-24,29,0.005166744950681071
3482 | 2021-10-25,0,0.017216703148678233
3483 | 2021-10-25,1,0.008009598547246904
3484 | 2021-10-25,2,0.010398318086254901
3485 | 2021-10-25,3,0.04254890098810244
3486 | 2021-10-25,4,0.01618798955613577
3487 | 2021-10-25,5,0.010902294673450316
3488 | 2021-10-25,6,0.025066195939982345
3489 | 2021-10-25,7,0.07111323231118005
3490 | 2021-10-25,8,0.02873110831234257
3491 | 2021-10-25,9,0.018134715025906734
3492 | 2021-10-25,10,0.014862119013062409
3493 | 2021-10-25,11,0.007684077424375061
3494 | 2021-10-25,12,0.02606493893357164
3495 | 2021-10-25,13,0.02569499891122886
3496 | 2021-10-25,14,0.034626342318650014
3497 | 2021-10-25,15,0.06566442025228961
3498 | 2021-10-25,16,0.011086474501108647
3499 | 2021-10-25,17,0.011867016939940214
3500 | 2021-10-25,18,0.025983667409057165
3501 | 2021-10-25,19,0.007505360972122944
3502 | 2021-10-25,20,0.013232830820770519
3503 | 2021-10-25,21,0.022273289729538626
3504 | 2021-10-25,22,0.07144604844629313
3505 | 2021-10-25,23,0.008996041741633681
3506 | 2021-10-25,24,0.06466844590433175
3507 | 2021-10-25,25,0.04786021777665232
3508 | 2021-10-25,26,0.005657175183858194
3509 | 2021-10-25,27,0.01238798102266737
3510 | 2021-10-25,28,0.020706455542021922
3511 | 2021-10-25,29,0.005617346365576901
3512 | 2021-10-26,0,0.01806998939554613
3513 | 2021-10-26,1,0.00785662449121257
3514 | 2021-10-26,2,0.010995022154149117
3515 | 2021-10-26,3,0.04070033318089763
3516 | 2021-10-26,4,0.01823895074800191
3517 | 2021-10-26,5,0.009889373114314448
3518 | 2021-10-26,6,0.02554366586123576
3519 | 2021-10-26,7,0.04438611144254863
3520 | 2021-10-26,8,0.026825969341749325
3521 | 2021-10-26,9,0.016147880590672476
3522 | 2021-10-26,10,0.01566862287049171
3523 | 2021-10-26,11,0.008919152201016592
3524 | 2021-10-26,12,0.025777010360138134
3525 | 2021-10-26,13,0.025343338524706216
3526 | 2021-10-26,14,0.03429761122068814
3527 | 2021-10-26,15,0.044928287541040265
3528 | 2021-10-26,16,0.010328389830508475
3529 | 2021-10-26,17,0.011867016939940214
3530 | 2021-10-26,18,0.02158273381294964
3531 | 2021-10-26,19,0.007532956685499059
3532 | 2021-10-26,20,0.01355243096730476
3533 | 2021-10-26,21,0.019157088122605366
3534 | 2021-10-26,22,0.05113775385368241
3535 | 2021-10-26,23,0.009135802469135803
3536 | 2021-10-26,24,0.03592691439129542
3537 | 2021-10-26,25,0.0369713851608002
3538 | 2021-10-26,26,0.0057251908396946565
3539 | 2021-10-26,27,0.012772057865241757
3540 | 2021-10-26,28,0.019701660568533636
3541 | 2021-10-26,29,0.005318081477021875
3542 | 2021-10-27,0,0.017786812349129717
3543 | 2021-10-27,1,0.008348860541780134
3544 | 2021-10-27,2,0.011350600736581538
3545 | 2021-10-27,3,0.04284966636137643
3546 | 2021-10-27,4,0.01909353293793016
3547 | 2021-10-27,5,0.010743801652892564
3548 | 2021-10-27,6,0.025734623106406278
3549 | 2021-10-27,7,0.04438611144254863
3550 | 2021-10-27,8,0.026547395758187854
3551 | 2021-10-27,9,0.017888875725624927
3552 | 2021-10-27,10,0.016083874426639663
3553 | 2021-10-27,11,0.010393700787401573
3554 | 2021-10-27,12,0.0296336946083139
3555 | 2021-10-27,13,0.026526936302603568
3556 | 2021-10-27,14,0.04271257721119726
3557 | 2021-10-27,15,0.044928287541040265
3558 | 2021-10-27,16,0.01028122165104324
3559 | 2021-10-27,17,0.013283932767034158
3560 | 2021-10-27,18,0.029191616766467064
3561 | 2021-10-27,19,0.00810226863521786
3562 | 2021-10-27,20,0.014426229508196723
3563 | 2021-10-27,21,0.020446386764476354
3564 | 2021-10-27,22,0.05113775385368241
3565 | 2021-10-27,23,0.009187798603454611
3566 | 2021-10-27,24,0.03592691439129542
3567 | 2021-10-27,25,0.0369713851608002
3568 | 2021-10-27,26,0.005881236956934168
3569 | 2021-10-27,27,0.0128305839224928
3570 | 2021-10-27,28,0.01987110633727175
3571 | 2021-10-27,29,0.005491711583443507
3572 | 2021-10-28,0,0.016634807011835524
3573 | 2021-10-28,1,0.008536768009585144
3574 | 2021-10-28,2,0.011396526772793052
3575 | 2021-10-28,3,0.041636471440806386
3576 | 2021-10-28,4,0.017231638418079096
3577 | 2021-10-28,5,0.007429986664126501
3578 | 2021-10-28,6,0.02575945993959851
3579 | 2021-10-28,7,0.04438611144254863
3580 | 2021-10-28,8,0.026686217008797652
3581 | 2021-10-28,9,0.016266728195662206
3582 | 2021-10-28,10,0.015659554121092583
3583 | 2021-10-28,11,0.00977133071421376
3584 | 2021-10-28,12,0.029550209205020914
3585 | 2021-10-28,13,0.027152264043573692
3586 | 2021-10-28,14,0.039210789210789215
3587 | 2021-10-28,15,0.044928287541040265
3588 | 2021-10-28,16,0.00975465563109666
3589 | 2021-10-28,17,0.013283932767034158
3590 | 2021-10-28,18,0.030303030303030304
3591 | 2021-10-28,19,0.00797872340425532
3592 | 2021-10-28,20,0.015055202408832385
3593 | 2021-10-28,21,0.019063596156779015
3594 | 2021-10-28,22,0.05113775385368241
3595 | 2021-10-28,23,0.008823529411764706
3596 | 2021-10-28,24,0.03592691439129542
3597 | 2021-10-28,25,0.0369713851608002
3598 | 2021-10-28,26,0.005658242172764994
3599 | 2021-10-28,27,0.011760042283298097
3600 | 2021-10-28,28,0.0212468549063461
3601 | 2021-10-28,29,0.006531606332336986
3602 | 2021-10-29,0,0.016359918200409
3603 | 2021-10-29,1,0.008495238095238094
3604 | 2021-10-29,2,0.01089102986057088
3605 | 2021-10-29,3,0.04498068090690384
3606 | 2021-10-29,4,0.017492800686232463
3607 | 2021-10-29,5,0.007803934214769429
3608 | 2021-10-29,6,0.02531418312387792
3609 | 2021-10-29,7,0.03594550198086772
3610 | 2021-10-29,8,0.030146059782608696
3611 | 2021-10-29,9,0.017045454545454544
3612 | 2021-10-29,10,0.028221693301598093
3613 | 2021-10-29,11,0.009589879616404817
3614 | 2021-10-29,12,0.028179838606378894
3615 | 2021-10-29,13,0.02675
3616 | 2021-10-29,14,0.04177369203731242
3617 | 2021-10-29,15,0.03732950466618808
3618 | 2021-10-29,16,0.00873871249635887
3619 | 2021-10-29,17,0.013256380196591217
3620 | 2021-10-29,18,0.028612821441506703
3621 | 2021-10-29,19,0.007930912936200211
3622 | 2021-10-29,20,0.015463917525773196
3623 | 2021-10-29,21,0.01538925769462885
3624 | 2021-10-29,22,0.04270535349407437
3625 | 2021-10-29,23,0.008997592193638323
3626 | 2021-10-29,24,0.030308278489781782
3627 | 2021-10-29,25,0.03074331438197515
3628 | 2021-10-29,26,0.006001936108422072
3629 | 2021-10-29,27,0.015522875816993464
3630 | 2021-10-29,28,0.021719726271942876
3631 | 2021-10-29,29,0.005887014604324691
3632 | 2021-10-30,0,0.015168721609344581
3633 | 2021-10-30,1,0.009208254542464853
3634 | 2021-10-30,2,0.011202867934191153
3635 | 2021-10-30,3,0.04576816927322906
3636 | 2021-10-30,4,0.018064003423296757
3637 | 2021-10-30,5,0.007201850016518003
3638 | 2021-10-30,6,0.02463146109348759
3639 | 2021-10-30,7,0.03594550198086772
3640 | 2021-10-30,8,0.030076495132127956
3641 | 2021-10-30,9,0.016852570320077594
3642 | 2021-10-30,10,0.027007475283337353
3643 | 2021-10-30,11,0.01002132196162047
3644 | 2021-10-30,12,0.030126204369656674
3645 | 2021-10-30,13,0.02650602409638554
3646 | 2021-10-30,14,0.0428510212826739
3647 | 2021-10-30,15,0.03732950466618808
3648 | 2021-10-30,16,0.009582689335394128
3649 | 2021-10-30,17,0.013256380196591217
3650 | 2021-10-30,18,0.029467321496033247
3651 | 2021-10-30,19,0.007397817643795081
3652 | 2021-10-30,20,0.014739427969819264
3653 | 2021-10-30,21,0.013953488372093025
3654 | 2021-10-30,22,0.04270535349407437
3655 | 2021-10-30,23,0.00971376764667789
3656 | 2021-10-30,24,0.030308278489781782
3657 | 2021-10-30,25,0.03074331438197515
3658 | 2021-10-30,26,0.006546320174568538
3659 | 2021-10-30,27,0.016103969487215708
3660 | 2021-10-30,28,0.020456566854432257
3661 | 2021-10-30,29,0.005899008966493628
3662 | 2021-10-31,0,0.014387023149657644
3663 | 2021-10-31,1,0.008848007008322382
3664 | 2021-10-31,2,0.010951125532346381
3665 | 2021-10-31,3,0.04457333545208962
3666 | 2021-10-31,4,0.016980502744170536
3667 | 2021-10-31,5,0.006896551724137931
3668 | 2021-10-31,6,0.02353402627966268
3669 | 2021-10-31,7,0.06514369933677229
3670 | 2021-10-31,8,0.03024627774136155
3671 | 2021-10-31,9,0.016771220074254255
3672 | 2021-10-31,10,0.028115015974440896
3673 | 2021-10-31,11,0.009782975373889575
3674 | 2021-10-31,12,0.031704856607580344
3675 | 2021-10-31,13,0.025698116708414508
3676 | 2021-10-31,14,0.04113263785394933
3677 | 2021-10-31,15,0.06309708953565875
3678 | 2021-10-31,16,0.009800718719372754
3679 | 2021-10-31,17,0.013428120063191154
3680 | 2021-10-31,18,0.025693311582381733
3681 | 2021-10-31,19,0.007010710808179162
3682 | 2021-10-31,20,0.014721723518850987
3683 | 2021-10-31,21,0.013723544973544973
3684 | 2021-10-31,22,0.073852922690132
3685 | 2021-10-31,23,0.009124570219518645
3686 | 2021-10-31,24,0.058885383806519455
3687 | 2021-10-31,25,0.05841046919885094
3688 | 2021-10-31,26,0.006895153112958831
3689 | 2021-10-31,27,0.012857358947209198
3690 | 2021-10-31,28,0.021012416427889206
3691 | 2021-10-31,29,0.006211967545638946
3692 | 


--------------------------------------------------------------------------------
/data/iris.csv:
--------------------------------------------------------------------------------
  1 | SepalLength,SepalWidth,PetalLength,PetalWidth,Name
  2 | 5.1,3.5,1.4,0.2,Iris-setosa
  3 | 4.9,3.0,1.4,0.2,Iris-setosa
  4 | 4.7,3.2,1.3,0.2,Iris-setosa
  5 | 4.6,3.1,1.5,0.2,Iris-setosa
  6 | 5.0,3.6,1.4,0.2,Iris-setosa
  7 | 5.4,3.9,1.7,0.4,Iris-setosa
  8 | 4.6,3.4,1.4,0.3,Iris-setosa
  9 | 5.0,3.4,1.5,0.2,Iris-setosa
 10 | 4.4,2.9,1.4,0.2,Iris-setosa
 11 | 4.9,3.1,1.5,0.1,Iris-setosa
 12 | 5.4,3.7,1.5,0.2,Iris-setosa
 13 | 4.8,3.4,1.6,0.2,Iris-setosa
 14 | 4.8,3.0,1.4,0.1,Iris-setosa
 15 | 4.3,3.0,1.1,0.1,Iris-setosa
 16 | 5.8,4.0,1.2,0.2,Iris-setosa
 17 | 5.7,4.4,1.5,0.4,Iris-setosa
 18 | 5.4,3.9,1.3,0.4,Iris-setosa
 19 | 5.1,3.5,1.4,0.3,Iris-setosa
 20 | 5.7,3.8,1.7,0.3,Iris-setosa
 21 | 5.1,3.8,1.5,0.3,Iris-setosa
 22 | 5.4,3.4,1.7,0.2,Iris-setosa
 23 | 5.1,3.7,1.5,0.4,Iris-setosa
 24 | 4.6,3.6,1.0,0.2,Iris-setosa
 25 | 5.1,3.3,1.7,0.5,Iris-setosa
 26 | 4.8,3.4,1.9,0.2,Iris-setosa
 27 | 5.0,3.0,1.6,0.2,Iris-setosa
 28 | 5.0,3.4,1.6,0.4,Iris-setosa
 29 | 5.2,3.5,1.5,0.2,Iris-setosa
 30 | 5.2,3.4,1.4,0.2,Iris-setosa
 31 | 4.7,3.2,1.6,0.2,Iris-setosa
 32 | 4.8,3.1,1.6,0.2,Iris-setosa
 33 | 5.4,3.4,1.5,0.4,Iris-setosa
 34 | 5.2,4.1,1.5,0.1,Iris-setosa
 35 | 5.5,4.2,1.4,0.2,Iris-setosa
 36 | 4.9,3.1,1.5,0.1,Iris-setosa
 37 | 5.0,3.2,1.2,0.2,Iris-setosa
 38 | 5.5,3.5,1.3,0.2,Iris-setosa
 39 | 4.9,3.1,1.5,0.1,Iris-setosa
 40 | 4.4,3.0,1.3,0.2,Iris-setosa
 41 | 5.1,3.4,1.5,0.2,Iris-setosa
 42 | 5.0,3.5,1.3,0.3,Iris-setosa
 43 | 4.5,2.3,1.3,0.3,Iris-setosa
 44 | 4.4,3.2,1.3,0.2,Iris-setosa
 45 | 5.0,3.5,1.6,0.6,Iris-setosa
 46 | 5.1,3.8,1.9,0.4,Iris-setosa
 47 | 4.8,3.0,1.4,0.3,Iris-setosa
 48 | 5.1,3.8,1.6,0.2,Iris-setosa
 49 | 4.6,3.2,1.4,0.2,Iris-setosa
 50 | 5.3,3.7,1.5,0.2,Iris-setosa
 51 | 5.0,3.3,1.4,0.2,Iris-setosa
 52 | 7.0,3.2,4.7,1.4,Iris-versicolor
 53 | 6.4,3.2,4.5,1.5,Iris-versicolor
 54 | 6.9,3.1,4.9,1.5,Iris-versicolor
 55 | 5.5,2.3,4.0,1.3,Iris-versicolor
 56 | 6.5,2.8,4.6,1.5,Iris-versicolor
 57 | 5.7,2.8,4.5,1.3,Iris-versicolor
 58 | 6.3,3.3,4.7,1.6,Iris-versicolor
 59 | 4.9,2.4,3.3,1.0,Iris-versicolor
 60 | 6.6,2.9,4.6,1.3,Iris-versicolor
 61 | 5.2,2.7,3.9,1.4,Iris-versicolor
 62 | 5.0,2.0,3.5,1.0,Iris-versicolor
 63 | 5.9,3.0,4.2,1.5,Iris-versicolor
 64 | 6.0,2.2,4.0,1.0,Iris-versicolor
 65 | 6.1,2.9,4.7,1.4,Iris-versicolor
 66 | 5.6,2.9,3.6,1.3,Iris-versicolor
 67 | 6.7,3.1,4.4,1.4,Iris-versicolor
 68 | 5.6,3.0,4.5,1.5,Iris-versicolor
 69 | 5.8,2.7,4.1,1.0,Iris-versicolor
 70 | 6.2,2.2,4.5,1.5,Iris-versicolor
 71 | 5.6,2.5,3.9,1.1,Iris-versicolor
 72 | 5.9,3.2,4.8,1.8,Iris-versicolor
 73 | 6.1,2.8,4.0,1.3,Iris-versicolor
 74 | 6.3,2.5,4.9,1.5,Iris-versicolor
 75 | 6.1,2.8,4.7,1.2,Iris-versicolor
 76 | 6.4,2.9,4.3,1.3,Iris-versicolor
 77 | 6.6,3.0,4.4,1.4,Iris-versicolor
 78 | 6.8,2.8,4.8,1.4,Iris-versicolor
 79 | 6.7,3.0,5.0,1.7,Iris-versicolor
 80 | 6.0,2.9,4.5,1.5,Iris-versicolor
 81 | 5.7,2.6,3.5,1.0,Iris-versicolor
 82 | 5.5,2.4,3.8,1.1,Iris-versicolor
 83 | 5.5,2.4,3.7,1.0,Iris-versicolor
 84 | 5.8,2.7,3.9,1.2,Iris-versicolor
 85 | 6.0,2.7,5.1,1.6,Iris-versicolor
 86 | 5.4,3.0,4.5,1.5,Iris-versicolor
 87 | 6.0,3.4,4.5,1.6,Iris-versicolor
 88 | 6.7,3.1,4.7,1.5,Iris-versicolor
 89 | 6.3,2.3,4.4,1.3,Iris-versicolor
 90 | 5.6,3.0,4.1,1.3,Iris-versicolor
 91 | 5.5,2.5,4.0,1.3,Iris-versicolor
 92 | 5.5,2.6,4.4,1.2,Iris-versicolor
 93 | 6.1,3.0,4.6,1.4,Iris-versicolor
 94 | 5.8,2.6,4.0,1.2,Iris-versicolor
 95 | 5.0,2.3,3.3,1.0,Iris-versicolor
 96 | 5.6,2.7,4.2,1.3,Iris-versicolor
 97 | 5.7,3.0,4.2,1.2,Iris-versicolor
 98 | 5.7,2.9,4.2,1.3,Iris-versicolor
 99 | 6.2,2.9,4.3,1.3,Iris-versicolor
100 | 5.1,2.5,3.0,1.1,Iris-versicolor
101 | 5.7,2.8,4.1,1.3,Iris-versicolor
102 | 6.3,3.3,6.0,2.5,Iris-virginica
103 | 5.8,2.7,5.1,1.9,Iris-virginica
104 | 7.1,3.0,5.9,2.1,Iris-virginica
105 | 6.3,2.9,5.6,1.8,Iris-virginica
106 | 6.5,3.0,5.8,2.2,Iris-virginica
107 | 7.6,3.0,6.6,2.1,Iris-virginica
108 | 4.9,2.5,4.5,1.7,Iris-virginica
109 | 7.3,2.9,6.3,1.8,Iris-virginica
110 | 6.7,2.5,5.8,1.8,Iris-virginica
111 | 7.2,3.6,6.1,2.5,Iris-virginica
112 | 6.5,3.2,5.1,2.0,Iris-virginica
113 | 6.4,2.7,5.3,1.9,Iris-virginica
114 | 6.8,3.0,5.5,2.1,Iris-virginica
115 | 5.7,2.5,5.0,2.0,Iris-virginica
116 | 5.8,2.8,5.1,2.4,Iris-virginica
117 | 6.4,3.2,5.3,2.3,Iris-virginica
118 | 6.5,3.0,5.5,1.8,Iris-virginica
119 | 7.7,3.8,6.7,2.2,Iris-virginica
120 | 7.7,2.6,6.9,2.3,Iris-virginica
121 | 6.0,2.2,5.0,1.5,Iris-virginica
122 | 6.9,3.2,5.7,2.3,Iris-virginica
123 | 5.6,2.8,4.9,2.0,Iris-virginica
124 | 7.7,2.8,6.7,2.0,Iris-virginica
125 | 6.3,2.7,4.9,1.8,Iris-virginica
126 | 6.7,3.3,5.7,2.1,Iris-virginica
127 | 7.2,3.2,6.0,1.8,Iris-virginica
128 | 6.2,2.8,4.8,1.8,Iris-virginica
129 | 6.1,3.0,4.9,1.8,Iris-virginica
130 | 6.4,2.8,5.6,2.1,Iris-virginica
131 | 7.2,3.0,5.8,1.6,Iris-virginica
132 | 7.4,2.8,6.1,1.9,Iris-virginica
133 | 7.9,3.8,6.4,2.0,Iris-virginica
134 | 6.4,2.8,5.6,2.2,Iris-virginica
135 | 6.3,2.8,5.1,1.5,Iris-virginica
136 | 6.1,2.6,5.6,1.4,Iris-virginica
137 | 7.7,3.0,6.1,2.3,Iris-virginica
138 | 6.3,3.4,5.6,2.4,Iris-virginica
139 | 6.4,3.1,5.5,1.8,Iris-virginica
140 | 6.0,3.0,4.8,1.8,Iris-virginica
141 | 6.9,3.1,5.4,2.1,Iris-virginica
142 | 6.7,3.1,5.6,2.4,Iris-virginica
143 | 6.9,3.1,5.1,2.3,Iris-virginica
144 | 5.8,2.7,5.1,1.9,Iris-virginica
145 | 6.8,3.2,5.9,2.3,Iris-virginica
146 | 6.7,3.3,5.7,2.5,Iris-virginica
147 | 6.7,3.0,5.2,2.3,Iris-virginica
148 | 6.3,2.5,5.0,1.9,Iris-virginica
149 | 6.5,3.0,5.2,2.0,Iris-virginica
150 | 6.2,3.4,5.4,2.3,Iris-virginica
151 | 5.9,3.0,5.1,1.8,Iris-virginica


--------------------------------------------------------------------------------
/joypy/__init__.py:
--------------------------------------------------------------------------------
1 | __author__ = 'Leonardo Taccari'
2 | __email__ = 'leonardo.taccari@gmail.com'
3 | __version__ = '0.2.6'
4 | 
5 | from .joyplot import joyplot, plot_density, _joyplot
6 | 


--------------------------------------------------------------------------------
/joypy/joyplot.py:
--------------------------------------------------------------------------------
  1 | import numpy as np
  2 | from scipy.stats import gaussian_kde
  3 | import scipy.stats as stats
  4 | 
  5 | import warnings
  6 | 
  7 | try:
  8 |     # pandas < 0.25
  9 |     from pandas.plotting._tools import (_subplots, _flatten)
 10 | except ImportError:
 11 |     try:
 12 |         #pandas >= 0.25, <1.2.0
 13 |         from pandas.plotting._matplotlib.tools import (_subplots, _flatten)
 14 |     except ImportError:
 15 |         #pandas >= 1.2.0
 16 |         from pandas.plotting._matplotlib.tools import create_subplots as _subplots
 17 |         from pandas.plotting._matplotlib.tools import flatten_axes as _flatten
 18 | 
 19 | from pandas import (DataFrame, Series)
 20 | from pandas.core.dtypes.common import is_number
 21 | from pandas.core.groupby import DataFrameGroupBy
 22 | from matplotlib import pyplot as plt
 23 | from warnings import warn
 24 | 
 25 | _DEBUG = False
 26 | 
 27 | def _x_range(data, extra=0.2):
 28 |     """ Compute the x_range, i.e., the values for which the
 29 |         density will be computed. It should be slightly larger than
 30 |         the max and min so that the plot actually reaches 0, and
 31 |         also has a bit of a tail on both sides.
 32 |     """
 33 |     try:
 34 |         sample_range = np.nanmax(data) - np.nanmin(data)
 35 |     except ValueError:
 36 |         return []
 37 |     if sample_range < 1e-6:
 38 |         return [np.nanmin(data), np.nanmax(data)]
 39 |     return np.linspace(np.nanmin(data) - extra*sample_range,
 40 |                        np.nanmax(data) + extra*sample_range, 1000)
 41 | 
 42 | def _setup_axis(ax, x_range, col_name=None, grid=False, ylabelsize=None, yrot=None):
 43 |     """ Setup the axis for the joyplot:
 44 |         - add the y label if required (as an ytick)
 45 |         - add y grid if required
 46 |         - make the background transparent
 47 |         - set the xlim according to the x_range
 48 |         - hide the xaxis and the spines
 49 |     """
 50 |     if col_name is not None:
 51 |         ax.set_yticks([0])
 52 |         ax.set_yticklabels([col_name], fontsize=ylabelsize, rotation=yrot)
 53 |         ax.yaxis.grid(grid)
 54 |     else:
 55 |         ax.yaxis.set_visible(False)
 56 |     ax.patch.set_alpha(0)
 57 |     ax.set_xlim([min(x_range), max(x_range)])
 58 |     ax.tick_params(axis='both', which='both', length=0, pad=10)
 59 |     ax.xaxis.set_visible(_DEBUG)
 60 |     ax.set_frame_on(_DEBUG)
 61 | 
 62 | def _is_numeric(x):
 63 |     """ Whether the array x is numeric. """
 64 |     return all(is_number(i) for i in x)
 65 | 
 66 | def _get_alpha(i, n, start=0.4, end=1.0):
 67 |     """ Compute alpha value at position i out of n """
 68 |     return start + (1 + i)*(end - start)/n
 69 | 
 70 | def _remove_na(l):
 71 |     """ Remove NA values. Should work for lists, arrays, series. """
 72 |     return Series(l).dropna().values
 73 | 
 74 | def _moving_average(a, n=3, zero_padded=False):
 75 |     """ Moving average of order n.
 76 |         If zero padded, returns an array of the same size as
 77 |         the input: the values before a[0] are considered to be 0.
 78 |         Otherwise, returns an array of length len(a) - n + 1 """
 79 |     ret = np.cumsum(a, dtype=float)
 80 |     ret[n:] = ret[n:] - ret[:-n]
 81 |     if zero_padded:
 82 |         return ret / n
 83 |     else:
 84 |         return ret[n - 1:] / n
 85 | 
 86 | def joyplot(data, column=None, by=None, grid=False,
 87 |             xlabelsize=None, xrot=None, ylabelsize=None, yrot=None,
 88 |             ax=None, figsize=None,
 89 |             hist=False, bins=10,
 90 |             fade=False, ylim='max',
 91 |             fill=True, linecolor=None,
 92 |             overlap=1, background=None,
 93 |             labels=None, xlabels=True, ylabels=True,
 94 |             range_style='all',
 95 |             x_range=None,
 96 |             title=None,
 97 |             colormap=None,
 98 |             color=None,
 99 |             normalize=True,
100 |             floc=None,
101 |             **kwds):
102 |     """
103 |     Draw joyplot of a DataFrame, or appropriately nested collection,
104 |     using matplotlib and pandas.
105 | 
106 |     A joyplot is a stack of vertically aligned density plots / histograms.
107 |     By default, if 'data' is a DataFrame,
108 |     this function will plot a density plot for each column.
109 | 
110 |     This wrapper method tries to convert whatever structure is given
111 |     to a nested collection of lists with additional information
112 |     on labels, and use the private _joyplot function to actually
113 |     draw theh plot.
114 | 
115 |     Parameters
116 |     ----------
117 |     data : DataFrame, Series or nested collection
118 |     column : string or sequence
119 |         If passed, will be used to limit data to a subset of columns
120 |     by : object, optional
121 |         If passed, used to form separate plot groups
122 |     grid : boolean, default True
123 |         Whether to show axis grid lines
124 |     labels : boolean or list, default True.
125 |         If list, must be the same size of the de
126 |     xlabelsize : int, default None
127 |         If specified changes the x-axis label size
128 |     xrot : float, default None
129 |         rotation of x axis labels
130 |     ylabelsize : int, default None
131 |         If specified changes the y-axis label size
132 |     yrot : float, default None
133 |         rotation of y axis labels
134 |     ax : matplotlib axes object, default None
135 |     figsize : tuple
136 |         The size of the figure to create in inches by default
137 |     hist : boolean, default False
138 |     bins : integer, default 10
139 |         Number of histogram bins to be used
140 |     color : color or colors to be used in the plots. It can be:
141 |         a string or anything interpretable as color by matplotib;
142 |         a list of colors. See docs / examples for more details.
143 |     kwds : other plotting keyword arguments
144 |         To be passed to hist/kde plot function
145 |     """
146 | 
147 |     if column is not None:
148 |         if not isinstance(column, (list, np.ndarray)):
149 |             column = [column]
150 | 
151 |     def _grouped_df_to_standard(grouped, column):
152 |         converted = []
153 |         labels = []
154 |         for i, (key, group) in enumerate(grouped):
155 |             if column is not None:
156 |                 group = group[column]
157 |             labels.append(key)
158 |             converted.append([_remove_na(group[c]) for c in group.columns if _is_numeric(group[c])])
159 |             if i == 0:
160 |                 sublabels = [col for col in group.columns if _is_numeric(group[col])]
161 |         return converted, labels, sublabels
162 | 
163 |     #################################################################
164 |     # GROUPED
165 |     # - given a grouped DataFrame, a group by key, or a dict of dicts of Series/lists/arrays
166 |     # - select the required columns/Series/lists/arrays
167 |     # - convert to standard format: list of lists of non-null arrays
168 |     #   + extra parameters (labels and sublabels)
169 |     #################################################################
170 |     if isinstance(data, DataFrameGroupBy):
171 |         grouped = data
172 |         converted, _labels, sublabels = _grouped_df_to_standard(grouped, column)
173 |         if labels is None:
174 |             labels = _labels
175 |     elif by is not None and isinstance(data, DataFrame):
176 |         grouped = data.groupby(by)
177 |         if column is None:
178 |             # Remove the groupby key. It's not automatically removed by pandas.
179 |             column = list(data.columns)
180 |             column.remove(by)
181 |         converted, _labels, sublabels = _grouped_df_to_standard(grouped, column)
182 |         if labels is None:
183 |             labels = _labels
184 |         # If there is at least an element which is not a list of lists.. go on.
185 |     elif isinstance(data, dict) and all(isinstance(g, dict) for g in data.values()):
186 |         grouped = data
187 |         if labels is None:
188 |             labels = list(grouped.keys())
189 |         converted = []
190 |         for i, (key, group) in enumerate(grouped.items()):
191 |             if column is not None:
192 |                 converted.append([_remove_na(g) for k,g in group.items() if _is_numeric(g) and k in column])
193 |                 if i == 0:
194 |                     sublabels = [k for k,g in group.items() if _is_numeric(g)]
195 |             else:
196 |                 converted.append([_remove_na(g) for k,g in group.items() if _is_numeric(g)])
197 |                 if i == 0:
198 |                     sublabels = [k for k,g in group.items() if _is_numeric(g)]
199 |     #################################################################
200 |     # PLAIN:
201 |     # - given a DataFrame or list/dict of Series/lists/arrays
202 |     # - select the required columns/Series/lists/arrays
203 |     # - convert to standard format: list of lists of non-null arrays + extra parameter (labels)
204 |     #################################################################
205 |     elif isinstance(data, DataFrame):
206 |         if column is not None:
207 |             data = data[column]
208 |         converted = [[_remove_na(data[col])] for col in data.columns if _is_numeric(data[col])]
209 |         labels = [col for col in data.columns if _is_numeric(data[col])]
210 |         sublabels = None
211 |     elif isinstance(data, dict):
212 |         if column is not None:
213 |             converted = [[_remove_na(g)] for k,g in data.items() if _is_numeric(g) and k in column]
214 |             labels = [k for k,g in data.items() if _is_numeric(g) and k in column]
215 |         else:
216 |             converted = [[_remove_na(g)] for k,g in data.items() if _is_numeric(g)]
217 |             labels = [k for k,g in data.items() if _is_numeric(g)]
218 |         sublabels = None
219 |     elif isinstance(data, list):
220 |         if column is not None:
221 |             converted = [[_remove_na(g)] for g in data if _is_numeric(g) and i in column]
222 |         else:
223 |             converted = [[_remove_na(g)] for g in data if _is_numeric(g)]
224 |         if labels and len(labels) != len(converted):
225 |             raise ValueError("The number of labels does not match the length of the list.")
226 | 
227 |         sublabels = None
228 |     else:
229 |         raise TypeError("Unknown type for 'data': {!r}".format(type(data)))
230 | 
231 |     if ylabels is False:
232 |         labels = None
233 | 
234 |     if all(len(subg)==0 for g in converted for subg in g):
235 |         raise ValueError("No numeric values found. Joyplot requires at least a numeric column/group.")
236 | 
237 |     if any(len(subg)==0 for g in converted for subg in g):
238 |         warn("At least a column/group has no numeric values.")
239 | 
240 | 
241 |     return _joyplot(converted, labels=labels, sublabels=sublabels,
242 |                     grid=grid,
243 |                     xlabelsize=xlabelsize, xrot=xrot, ylabelsize=ylabelsize, yrot=yrot,
244 |                     ax=ax, figsize=figsize,
245 |                     hist=hist, bins=bins,
246 |                     fade=fade, ylim=ylim,
247 |                     fill=fill, linecolor=linecolor,
248 |                     overlap=overlap, background=background,
249 |                     xlabels=xlabels,
250 |                     range_style=range_style, x_range=x_range,
251 |                     title=title,
252 |                     colormap=colormap,
253 |                     color=color,
254 |                     normalize=normalize,
255 |                     floc=floc,
256 |                     **kwds)
257 | 
258 | ###########################################
259 | 
260 | def plot_density(ax, x_range, v, kind="kde", bw_method=None,
261 |                  bins=50,
262 |                  fill=False, linecolor=None, clip_on=True,
263 |                  normalize=True, floc=None,**kwargs):
264 |     """ Draw a density plot given an axis, an array of values v and an array
265 |         of x positions where to return the estimated density.
266 |     """
267 |     v = _remove_na(v)
268 |     if len(v) == 0 or len(x_range) == 0:
269 |         return
270 | 
271 |     if kind == "kde":
272 |         try:
273 |             gkde = gaussian_kde(v, bw_method=bw_method)
274 |             y = gkde.evaluate(x_range)
275 |         except ValueError:
276 |             # Handle cases where there is no data in a group.
277 |             y = np.zeros_like(x_range)
278 |         except np.linalg.LinAlgError as e:
279 |             # Handle singular matrix in kde computation.
280 |             distinct_values = np.unique(v)
281 |             if len(distinct_values) == 1:
282 |                 # In case of a group with a single value val,
283 |                 # that should have infinite density,
284 |                 # return a δ(val)
285 |                 val = distinct_values[0]
286 |                 warnings.warn("The data contains a group with a single distinct value ({}) "
287 |                               "having infinite probability density. "
288 |                               "Consider using a different visualization.".format(val))
289 | 
290 |                 # Find index i of x_range
291 |                 # such that x_range[i-1] < val ≤ x_range[i]
292 |                 i = np.searchsorted(x_range, val)
293 | 
294 |                 y = np.zeros_like(x_range)
295 |                 y[i] = 1
296 |             else:
297 |                 raise e
298 | 
299 |     elif kind == "lognorm":
300 |         if floc is not None:
301 |             lnparam = stats.lognorm.fit(v,loc=floc)
302 |         else:
303 |             lnparam = stats.lognorm.fit(v)
304 | 
305 |         lpdf = stats.lognorm.pdf(x_range,lnparam[0],lnparam[1],lnparam[2])
306 |         if normalize:
307 |             y = lpdf/lpdf.sum()
308 |         else:
309 |             y = lpdf
310 |     elif kind == "counts":
311 |         y, bin_edges = np.histogram(v, bins=bins, range=(min(x_range), max(x_range)))
312 |         # np.histogram returns the edges of the bins.
313 |         # We compute here the middle of the bins.
314 |         x_range = _moving_average(bin_edges, 2)
315 |     elif kind == "normalized_counts":
316 |         y, bin_edges = np.histogram(v, bins=bins, density=False,
317 |                                     range=(min(x_range), max(x_range)))
318 |         # np.histogram returns the edges of the bins.
319 |         # We compute here the middle of the bins.
320 |         y = y / len(v)
321 |         x_range = _moving_average(bin_edges, 2)
322 |     elif kind == "values":
323 |         # Warning: to use values and get a meaningful visualization,
324 |         # x_range must also be manually set in the main function.
325 |         y = v
326 |         x_range = list(range(len(y)))
327 |     else:
328 |         raise NotImplementedError
329 | 
330 |     if fill:
331 | 
332 |         ax.fill_between(x_range, 0.0, y, clip_on=clip_on, **kwargs)
333 | 
334 |         # Hack to have a border at the bottom at the fill patch
335 |         # (of the same color of the fill patch)
336 |         # so that the fill reaches the same bottom margin as the edge lines
337 |         # with y value = 0.0
338 |         kw = kwargs
339 |         kw["label"] = None
340 |         ax.plot(x_range, [0.0]*len(x_range), clip_on=clip_on, **kw)
341 | 
342 |     if linecolor is not None:
343 |         kwargs["color"] = linecolor
344 | 
345 |     # Remove the legend labels if we are plotting filled curve:
346 |     # we only want one entry per group in the legend (if shown).
347 |     if fill:
348 |         kwargs["label"] = None
349 | 
350 |     ax.plot(x_range, y, clip_on=clip_on, **kwargs)
351 | 
352 | 
353 | ###########################################
354 | 
355 | def _joyplot(data,
356 |              grid=False,
357 |              labels=None, sublabels=None,
358 |              xlabels=True,
359 |              xlabelsize=None, xrot=None,
360 |              ylabelsize=None, yrot=None,
361 |              ax=None, figsize=None,
362 |              hist=False, bins=10,
363 |              fade=False,
364 |              xlim=None, ylim='max',
365 |              fill=True, linecolor=None,
366 |              overlap=1, background=None,
367 |              range_style='all', x_range=None, tails=0.2,
368 |              title=None,
369 |              legend=False, loc="upper right",
370 |              colormap=None, color=None,
371 |              normalize=True,
372 |              floc=None,
373 |              **kwargs):
374 |     """
375 |     Internal method.
376 |     Draw a joyplot from an appropriately nested collection of lists
377 |     using matplotlib and pandas.
378 | 
379 |     Parameters
380 |     ----------
381 |     data : DataFrame, Series or nested collection
382 |     grid : boolean, default True
383 |         Whether to show axis grid lines
384 |     labels : boolean or list, default True.
385 |         If list, must be the same size of the de
386 |     xlabelsize : int, default None
387 |         If specified changes the x-axis label size
388 |     xrot : float, default None
389 |         rotation of x axis labels
390 |     ylabelsize : int, default None
391 |         If specified changes the y-axis label size
392 |     yrot : float, default None
393 |         rotation of y axis labels
394 |     ax : matplotlib axes object, default None
395 |     figsize : tuple
396 |         The size of the figure to create in inches by default
397 |     hist : boolean, default False
398 |     bins : integer, default 10
399 |         Number of histogram bins to be used
400 |     kwarg : other plotting keyword arguments
401 |         To be passed to hist/kde plot function
402 |     """
403 | 
404 |     if fill is True and linecolor is None:
405 |         linecolor = "k"
406 | 
407 |     if sublabels is None:
408 |         legend = False
409 | 
410 |     def _get_color(i, num_axes, j, num_subgroups):
411 |         if isinstance(color, list):
412 |             return color[j] if num_subgroups > 1 else color[i]
413 |         elif color is not None:
414 |             return color
415 |         elif isinstance(colormap, list):
416 |             return colormap[j](i/num_axes)
417 |         elif color is None and colormap is None:
418 |             num_cycle_colors = len(plt.rcParams['axes.prop_cycle'].by_key()['color'])
419 |             return plt.rcParams['axes.prop_cycle'].by_key()['color'][j % num_cycle_colors]
420 |         else:
421 |             return colormap(i/num_axes)
422 | 
423 |     ygrid = (grid is True or grid == 'y' or grid == 'both')
424 |     xgrid = (grid is True or grid == 'x' or grid == 'both')
425 | 
426 |     num_axes = len(data)
427 | 
428 |     if x_range is None:
429 |         global_x_range = _x_range([v for g in data for sg in g for v in sg])
430 |     else:
431 |         global_x_range = _x_range(x_range, 0.0)
432 |     global_x_min, global_x_max = min(global_x_range), max(global_x_range)
433 | 
434 |     # Each plot will have its own axis
435 |     fig, axes = _subplots(naxes=num_axes, ax=ax, squeeze=False,
436 |                           sharex=True, sharey=False, figsize=figsize,
437 |                           layout_type='vertical')
438 |     _axes = _flatten(axes)
439 | 
440 |     # The legend must be drawn in the last axis if we want it at the bottom.
441 |     if loc in (3, 4, 8) or 'lower' in str(loc):
442 |         legend_axis = num_axes - 1
443 |     else:
444 |         legend_axis = 0
445 | 
446 |     # A couple of simple checks.
447 |     if labels is not None:
448 |         assert len(labels) == num_axes
449 |     if sublabels is not None:
450 |         assert all(len(g) == len(sublabels) for g in data)
451 |     if isinstance(color, list):
452 |         assert all(len(g) <= len(color) for g in data)
453 |     if isinstance(colormap, list):
454 |         assert all(len(g) == len(colormap) for g in data)
455 | 
456 |     for i, group in enumerate(data):
457 | 
458 |         a = _axes[i]
459 |         group_zorder = i
460 |         if fade:
461 |             kwargs['alpha'] = _get_alpha(i, num_axes)
462 | 
463 |         num_subgroups = len(group)
464 | 
465 |         if hist:
466 |             # matplotlib hist() already handles multiple subgroups in a histogram
467 |             a.hist(group, label=sublabels, bins=bins, color=color,
468 |                    range=[min(global_x_range), max(global_x_range)],
469 |                    edgecolor=linecolor, zorder=group_zorder, **kwargs)
470 |         else:
471 |             for j, subgroup in enumerate(group):
472 | 
473 |                 # Compute the x_range of the current plot
474 |                 if range_style == 'all':
475 |                 # All plots have the same range
476 |                     x_range = global_x_range
477 |                 elif range_style == 'own':
478 |                 # Each plot has its own range
479 |                     x_range = _x_range(subgroup, tails)
480 |                 elif range_style == 'group':
481 |                 # Each plot has a range that covers the whole group
482 |                     x_range = _x_range(group, tails)
483 |                 elif isinstance(range_style, (list, np.ndarray)):
484 |                 # All plots have exactly the range passed as argument
485 |                     x_range = _x_range(range_style, 0.0)
486 |                 else:
487 |                     raise NotImplementedError("Unrecognized range style.")
488 | 
489 |                 if sublabels is None:
490 |                     sublabel = None
491 |                 else:
492 |                     sublabel = sublabels[j]
493 | 
494 |                 element_zorder = group_zorder + j/(num_subgroups+1)
495 |                 element_color = _get_color(i, num_axes, j, num_subgroups)
496 | 
497 |                 plot_density(a, x_range, subgroup,
498 |                              fill=fill, linecolor=linecolor, label=sublabel,
499 |                              zorder=element_zorder, color=element_color,
500 |                              bins=bins, **kwargs)
501 | 
502 |         # Setup the current axis: transparency, labels, spines.
503 |         col_name = None if labels is None else labels[i]
504 |         _setup_axis(a, global_x_range, col_name=col_name, grid=ygrid,
505 |                 ylabelsize=ylabelsize, yrot=yrot)
506 | 
507 |         # When needed, draw the legend
508 |         if legend and i == legend_axis:
509 |             a.legend(loc=loc)
510 |             # Bypass alpha values, in case
511 |             for p in a.get_legend().get_patches():
512 |                 p.set_facecolor(p.get_facecolor())
513 |                 p.set_alpha(1.0)
514 |             for l in a.get_legend().get_lines():
515 |                 l.set_alpha(1.0)
516 | 
517 | 
518 |     # Final adjustments
519 | 
520 |     # Set the y limit for the density plots.
521 |     # Since the y range in the subplots can vary significantly,
522 |     # different options are available.
523 |     if ylim == 'max':
524 |         # Set all yaxis limit to the same value (max range among all)
525 |         max_ylim = max(a.get_ylim()[1] for a in _axes)
526 |         min_ylim = min(a.get_ylim()[0] for a in _axes)
527 |         for a in _axes:
528 |             a.set_ylim([min_ylim - 0.1*(max_ylim-min_ylim), max_ylim])
529 | 
530 |     elif ylim == 'own':
531 |         # Do nothing, each axis keeps its own ylim
532 |         pass
533 | 
534 |     else:
535 |         # Set all yaxis lim to the argument value ylim
536 |         try:
537 |             for a in _axes:
538 |                 a.set_ylim(ylim)
539 |         except:
540 |             print("Warning: the value of ylim must be either 'max', 'own', or a tuple of length 2. The value you provided has no effect.")
541 | 
542 |     # Compute a final axis, used to apply global settings
543 |     last_axis = fig.add_subplot(1, 1, 1)
544 | 
545 |     # Background color
546 |     if background is not None:
547 |         last_axis.patch.set_facecolor(background)
548 | 
549 |     for side in ['top', 'bottom', 'left', 'right']:
550 |         last_axis.spines[side].set_visible(_DEBUG)
551 | 
552 |     # This looks hacky, but all the axes share the x-axis,
553 |     # so they have the same lims and ticks
554 |     last_axis.set_xlim(_axes[0].get_xlim())
555 |     if xlabels is True:
556 |         last_axis.set_xticks(np.array(_axes[0].get_xticks()[1:-1]))
557 |         for t in last_axis.get_xticklabels():
558 |             t.set_visible(True)
559 |             t.set_fontsize(xlabelsize)
560 |             t.set_rotation(xrot)
561 | 
562 |         # If grid is enabled, do not allow xticks (they are ugly)
563 |         if xgrid:
564 |             last_axis.tick_params(axis='both', which='both',length=0)
565 |     else:
566 |         last_axis.xaxis.set_visible(False)
567 | 
568 |     last_axis.yaxis.set_visible(False)
569 |     last_axis.grid(xgrid)
570 | 
571 | 
572 |     # Last axis on the back
573 |     last_axis.zorder = min(a.zorder for a in _axes) - 1
574 |     _axes = list(_axes) + [last_axis]
575 | 
576 |     if title is not None:
577 |         plt.title(title)
578 | 
579 | 
580 |     # The magic overlap happens here.
581 |     h_pad = 5 + (- 5*(1 + overlap))
582 |     fig.tight_layout(h_pad=h_pad)
583 | 
584 |     return fig, _axes
585 | 
586 | 


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/setup.py:
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 1 | from setuptools import setup
 2 | 
 3 | setup(name='joypy',
 4 |       version='0.2.6',
 5 |       description='Joyplots in python',
 6 |       long_description='Joyplots in python.',
 7 |       classifiers=[
 8 |         'Development Status :: 3 - Alpha',
 9 |         'License :: OSI Approved :: MIT License',
10 |         'Programming Language :: Python :: 3.5',
11 |         'Programming Language :: Python :: 3.6',
12 |         'Programming Language :: Python :: 3.7',
13 |         'Programming Language :: Python :: 3.8',
14 |         'Programming Language :: Python :: 3.9',
15 |         'Topic :: Scientific/Engineering :: Visualization',
16 |       ],
17 |       url='http://github.com/leotac/joypy',
18 |       author='Leonardo Taccari',
19 |       author_email='leonardo.taccari@gmail.com',
20 |       license='MIT',
21 |       packages=['joypy'],
22 |       python_requires='>=3.5',
23 |       install_requires=[
24 |           'numpy>=1.16.5',
25 |           'scipy>=0.11.0',
26 |           'pandas>=0.20.0',
27 |           'matplotlib',
28 |       ],
29 |       zip_safe=False)
30 | 


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/temperatures.png:
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https://raw.githubusercontent.com/leotac/joypy/fb74cb6c725199cca4f5260fdbc0a90ff579c7f3/temperatures.png


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/tests/test_joyplot.py:
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 1 | # coding: utf-8
 2 | from __future__ import unicode_literals
 3 | import joypy
 4 | import pandas as pd
 5 | import numpy as np
 6 | from matplotlib import cm
 7 | 
 8 | import pytest
 9 | 
10 | print('joypy version',joypy.__version__)
11 | 
12 | @pytest.fixture
13 | def iris():
14 |     return pd.read_csv("data/iris.csv")
15 | 
16 | @pytest.fixture
17 | def temp():
18 |     return pd.read_csv("data/daily_temp.csv", comment="%")
19 | 
20 | @pytest.fixture
21 | def CFR():
22 |     return pd.read_csv("data/CFR.csv",comment='#')
23 | 
24 | def test_basic(iris):
25 |     fig, axes = joypy.joyplot(iris)
26 | 
27 | def test_groupby(iris):
28 |     fig, axes = joypy.joyplot(iris, by="Name")
29 |     fig, axes = joypy.joyplot(iris, by="Name", ylim='own')
30 |     fig, axes = joypy.joyplot(iris, by="Name", overlap=3)
31 | 
32 | def test_groupby_hist(iris):
33 |     fig, axes = joypy.joyplot(iris, by="Name", column="SepalWidth",
34 |                               hist="True", bins=20, overlap=0,
35 |                               grid=True, legend=False)
36 | def test_temperature(temp):
37 |     labels=[y if y%10==0 else None for y in list(temp.Year.unique())]
38 |     fig, axes = joypy.joyplot(temp, by="Year", column="Anomaly", labels=labels, range_style='own', 
39 |                               grid="y", linewidth=1, legend=False, figsize=(6,5),
40 |                               title="Global daily temperature 1880-2014 \n(°C above 1950-80 average)",
41 |                               colormap=cm.autumn_r)
42 | 
43 | def test_raw_counts(temp):
44 |     labels=[y if y%10==0 else None for y in list(temp.Year.unique())]
45 |     fig, axes = joypy.joyplot(temp, by="Year", column="Anomaly", labels=labels, range_style='own', 
46 |                               grid="y", linewidth=1, legend=False, fade=True, figsize=(6,5),
47 |                               title="Global daily temperature 1880-2014 \n(°C above 1950-80 average)",
48 |                               kind="counts", bins=30)
49 | 
50 | def test_raw_data():
51 |     x = np.arange(0, 100, 0.1)
52 |     y =[n*x for n in range(1,4)]
53 |     fig, ax = joypy.joyplot(y, labels=["a","b","c"])
54 |     
55 | def test_lognorm(CFR):
56 |     zmask = CFR['ratio'] > 0
57 |     labels = CFR['date'].unique()
58 |     for i in range(1,len(labels)):
59 |         if labels[i].split('-')[2] != '01':
60 |             labels[i] = None
61 |     fig,axes = joypy.joyplot(CFR[zmask], by='date', column='ratio', labels = labels,
62 |                            kind = 'lognorm', range_style='own', tails = 0.1, 
63 |                            overlap = 4, x_range=[0.0,0.061], grid="y",
64 |                            linewidth=0.25, figsize=(6.5,9.0),
65 |                            title='Case Fatality Ratio',
66 |                            colormap=cm.Blues_r,
67 |                            ylim = 'own',
68 |                            normalize = True, floc=None)       


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