├── setup.cfg ├── requirements.txt ├── enable_ipypivot.json ├── ipypivot ├── _config.py ├── __meta__.py ├── __init__.py ├── markdown │ └── pivotui.md ├── _sample.py ├── _state.py ├── _options.py ├── _widget_pivot.py ├── _widget_util.py ├── api │ ├── pivot.tsv │ ├── pivot.json │ ├── pivotui.tsv │ ├── pivotui.json │ └── create_api_json.ipynb ├── _widget_pivotui_box.py ├── _widget_pivotui.py ├── _wrapper.py └── data │ ├── iris.csv │ ├── create_tips_csv.ipynb │ ├── tips.csv │ ├── weather.csv │ ├── mps.csv │ └── tips.json ├── MANIFEST.in ├── .gitignore ├── js ├── README.md ├── lib │ ├── widget.js │ ├── embed.js │ ├── extension.js │ ├── index.js │ ├── style.css │ ├── util.js │ ├── widget_pivotui.js │ ├── widget_pivot.js │ ├── widget_pivotui_box.js │ ├── pivot-table.css │ ├── c3.css │ └── pivot-table.js ├── LICENSE ├── package.json └── webpack.config.js ├── LICENSE ├── README.md └── setup.py /setup.cfg: -------------------------------------------------------------------------------- 1 | [bdist_wheel] 2 | universal=1 3 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | ipywidgets>=7.1.0 2 | widgetsnbextension>=3.1.0 3 | notebook>=5.3.0 4 | pandas>=0.22.0 5 | -------------------------------------------------------------------------------- /enable_ipypivot.json: -------------------------------------------------------------------------------- 1 | { 2 | "load_extensions": { 3 | "ipypivot/extension": true 4 | } 5 | } 6 | -------------------------------------------------------------------------------- /ipypivot/_config.py: -------------------------------------------------------------------------------- 1 | 2 | API_DIR = 'api' 3 | SCRIPTS_DIR = 'scripts' 4 | 5 | PIVOT_OPTION_FILE = 'pivot.json' 6 | PIVOTUI_OPTION_FILE = 'pivotui.json' 7 | 8 | NAME = 'Key ' 9 | TYPE = 'Type ' 10 | DEFAULT = 'Default value ' 11 | DESCRIPTION = 'Description' 12 | -------------------------------------------------------------------------------- /MANIFEST.in: -------------------------------------------------------------------------------- 1 | 2 | # js 3 | recursive-include ipypivot/static *.* 4 | 5 | # subfolders 6 | recursive-include ipypivot/api *.json 7 | recursive-include ipypivot/data *.csv 8 | recursive-include ipypivot/markdown *.md 9 | 10 | # Misc 11 | include requirements.txt 12 | include LICENSE 13 | global-exclude *.py[co] 14 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | 2 | .DS_Store 3 | .vs_code/ 4 | 5 | *.py[cod] 6 | */__pycache__/ 7 | *.ipynb_checkpoints/ 8 | *.egg-info/ 9 | 10 | */package-lock.json 11 | */node_modules/ 12 | 13 | */static/ 14 | js/dist/ 15 | 16 | setup.orig.py 17 | setup.orig2.py 18 | 19 | notebooks/*.html 20 | notebooks/*.sh 21 | notebooks/*.js 22 | 23 | dist/ 24 | build/ 25 | 26 | */*.tgz 27 | package/ 28 | 29 | *.old* 30 | *test* 31 | js/temp.* 32 | 33 | -------------------------------------------------------------------------------- /js/README.md: -------------------------------------------------------------------------------- 1 | 2 | # `ipypivot` Javascript part 3 | 4 | 5 | This is the javascript part of a demo [jupyter-widget](https://ipywidgets.readthedocs.io/en/stable/). 6 | 7 | Check out the [ipypivot repo](https://github.com/PierreMarion23/ipypivot) for more info. 8 | 9 | 10 | ## 1 - Prerequisite 11 | 12 | Install [node](http://nodejs.org/). 13 | 14 | ## 2 - Install 15 | 16 | ```bash 17 | npm install --save ipypivot 18 | ``` 19 | -------------------------------------------------------------------------------- /ipypivot/__meta__.py: -------------------------------------------------------------------------------- 1 | 2 | def _get_version(version_info): 3 | dic = {'alpha': 'a', 4 | 'beta': 'b', 5 | 'candidate': 'rc', 6 | 'final': ''} 7 | vi = version_info 8 | specifier = '' if vi[3] == 'final' else dic[vi[3]] + str(vi[4]) 9 | version = '%s.%s.%s%s' % (vi[0], vi[1], vi[2], specifier) 10 | return version 11 | 12 | 13 | # meta data 14 | 15 | version_info = (0, 2, 7, 'final', 0) 16 | __version__ = _get_version(version_info) 17 | -------------------------------------------------------------------------------- /js/lib/widget.js: -------------------------------------------------------------------------------- 1 | 2 | 'use strict'; 3 | 4 | var pivot = require('./widget_pivot'); 5 | var pivotui = require('./widget_pivotui'); 6 | var pivotui_box = require('./widget_pivotui_box'); 7 | 8 | 9 | module.exports = { 10 | PivotModel: pivot.PivotModel, 11 | PivotView: pivot.PivotView, 12 | PivotUIModel: pivotui.PivotUIModel, 13 | PivotUIView: pivotui.PivotUIView, 14 | PivotUIBoxModel: pivotui_box.PivotUIBoxModel, 15 | PivotUIBoxView: pivotui_box.PivotUIBoxView 16 | }; 17 | 18 | -------------------------------------------------------------------------------- /js/lib/embed.js: -------------------------------------------------------------------------------- 1 | // Entry point for the unpkg bundle containing custom model definitions. 2 | // 3 | // It differs from the notebook bundle in that it does not need to define a 4 | // dynamic baseURL for the static assets and may load some css that would 5 | // already be loaded by the notebook otherwise. 6 | 7 | // Export widget models and views, and the npm package version number. 8 | module.exports = require('./widget.js'); 9 | module.exports['version'] = require('../package.json').version; 10 | -------------------------------------------------------------------------------- /ipypivot/__init__.py: -------------------------------------------------------------------------------- 1 | 2 | from .__meta__ import __version__ 3 | 4 | from ._widget_pivot import Pivot 5 | # from ._widget_pivotui import PivotUI 6 | from ._widget_pivotui_box import PivotUIBox as PivotUI 7 | from ._options import Pivot_Options, PivotUI_Options 8 | from ._sample import samples 9 | 10 | 11 | def _jupyter_nbextension_paths(): 12 | return [{ 13 | 'section': 'notebook', 14 | 'src': 'static', 15 | 'dest': 'ipypivot', 16 | 'require': 'ipypivot/extension' 17 | }] 18 | -------------------------------------------------------------------------------- /ipypivot/markdown/pivotui.md: -------------------------------------------------------------------------------- 1 | + The `PivotUI` object say `p` has 2 buttons: 2 | + **Save** to snapshot the current state and access with `p.table.df_export` (dataframe) and `p.table.options` (dict) 3 | + Options which are javascript functions are discarded when passed to Python 4 | + The first snapshot takes place immediately after creation as recorded by the timestamp right of the buttons 5 | + However there is a slight delay - so wait for say 0.2s to access it (ie add `sleep(0.2)` in a notebook) 6 | + **Restore** to apply the options saved 7 | 8 | -------------------------------------------------------------------------------- /js/lib/extension.js: -------------------------------------------------------------------------------- 1 | 2 | // This file contains the javascript that is run when the notebook is loaded. 3 | // It contains some requirejs configuration and the `load_ipython_extension` 4 | // which is required for any notebook extension. 5 | 6 | // Configure requirejs 7 | if (window.require) { 8 | window.require.config({ 9 | map: { 10 | "*": { 11 | "ipypivot": "nbextensions/ipypivot/index", 12 | } 13 | } 14 | }); 15 | } 16 | 17 | // Export the required load_ipython_extension 18 | module.exports = { 19 | load_ipython_extension: function () { } 20 | }; 21 | -------------------------------------------------------------------------------- /js/lib/index.js: -------------------------------------------------------------------------------- 1 | 2 | // Entry point for the notebook bundle containing custom model definitions. 3 | // 4 | // Setup notebook base URL 5 | // 6 | // Some static assets may be required by the custom widget javascript. The base 7 | // url for the notebook is not known at build time and is therefore computed 8 | // dynamically. 9 | __webpack_public_path__ = document.querySelector('body').getAttribute('data-base-url') + 'nbextensions/ipypivot/'; 10 | 11 | // Export widget models and views, and the npm package version number. 12 | module.exports = require('./widget.js'); 13 | module.exports['version'] = require('../package.json').version; 14 | -------------------------------------------------------------------------------- /ipypivot/_sample.py: -------------------------------------------------------------------------------- 1 | 2 | import os 3 | import pandas as pd 4 | 5 | 6 | class Samples: 7 | """ 8 | """ 9 | 10 | def __init__(self): 11 | """ 12 | """ 13 | _dir = os.path.dirname(os.path.realpath(__file__)) 14 | 15 | path = os.path.join(_dir, 'data', 'tips.csv') 16 | self.df_tips = pd.read_csv(path) 17 | 18 | path = os.path.join(_dir, 'data', 'mps.csv') 19 | self.df_mps = pd.read_csv(path) 20 | 21 | path = os.path.join(_dir, 'data', 'weather.csv') 22 | self.df_weather = pd.read_csv(path) 23 | 24 | path = os.path.join(_dir, 'data', 'iris.csv') 25 | self.df_iris = pd.read_csv(path) 26 | 27 | 28 | samples = Samples() 29 | -------------------------------------------------------------------------------- /ipypivot/_state.py: -------------------------------------------------------------------------------- 1 | 2 | import os 3 | import json 4 | from ._config import API_DIR, PIVOT_OPTION_FILE, PIVOTUI_OPTION_FILE 5 | 6 | 7 | class State(object): 8 | """ 9 | Contains all 'ezvis3d' API, options and methods 10 | """ 11 | 12 | def __init__(self, src): 13 | """ 14 | """ 15 | self._OPTION = self._load_resource(src) 16 | 17 | def _load_resource(self, src): 18 | """ 19 | """ 20 | _dir = os.path.dirname(__file__) 21 | path = os.path.join(_dir, API_DIR, src) 22 | with open(path, 'r') as f: 23 | return json.load(f) 24 | 25 | 26 | state_Pivot = State(PIVOT_OPTION_FILE) 27 | state_PivotUI = State(PIVOTUI_OPTION_FILE) 28 | -------------------------------------------------------------------------------- /js/lib/style.css: -------------------------------------------------------------------------------- 1 | body { 2 | font-family: Verdana; 3 | } 4 | .node { 5 | border: solid 1px white; 6 | font: 10px sans-serif; 7 | line-height: 12px; 8 | overflow: hidden; 9 | position: absolute; 10 | text-indent: 2px; 11 | } 12 | .c3-line, .c3-focused { 13 | stroke-width: 3px !important; 14 | } 15 | .c3-bar { 16 | stroke: white !important; 17 | stroke-width: 1; 18 | } 19 | .c3 text { 20 | font-size: 12px; 21 | color: grey; 22 | } 23 | .tick line { 24 | stroke: white; 25 | } 26 | .c3-axis path { 27 | stroke: grey; 28 | } 29 | .c3-circle { 30 | opacity: 1 !important; 31 | } 32 | .c3-xgrid-focus { 33 | visibility: hidden !important; 34 | } 35 | 36 | .pivot-buttons { 37 | display: flex; 38 | justify-content: space-between; 39 | width: 300px; 40 | } 41 | 42 | .pivot-buttons button { 43 | background-color: lightgray; 44 | } 45 | 46 | .last-saved { 47 | font-weight: bold; 48 | } 49 | -------------------------------------------------------------------------------- /js/LICENSE: -------------------------------------------------------------------------------- 1 | The MIT License (MIT) 2 | 3 | Copyright (c) 2017 Olivier Borderies 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 13 | all 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 21 | THE SOFTWARE. -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | The MIT License (MIT) 2 | 3 | Copyright (c) 2018 Olivier Borderies, Olivier Coudray, Pierre Marion 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 13 | all 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 21 | THE SOFTWARE. 22 | -------------------------------------------------------------------------------- /js/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "ipypivot", 3 | "version": "0.1.1", 4 | "description": "A Custom Jupyter Widget Library", 5 | "author": "oscar6echo", 6 | "license": "MIT", 7 | "main": "dist/index.js", 8 | "repository": { 9 | "type": "git", 10 | "url": "https://github.com/PierreMarion23/ipypivot" 11 | }, 12 | "keywords": [ 13 | "jupyter", 14 | "widgets", 15 | "ipython", 16 | "ipywidgets", 17 | "pivottable" 18 | ], 19 | "files": [ 20 | "dist/*.js" 21 | ], 22 | "scripts": { 23 | "clean": "rimraf dist/ && rimraf ../ipypivot/static/", 24 | "cleanall": "npm run clean && rimraf node_modules/", 25 | "prepare": "webpack", 26 | "watch": "watch 'npm run prepare' lib/", 27 | "test": "echo \"Error: no test specified\" && exit 1" 28 | }, 29 | "devDependencies": { 30 | "css-loader": "^0.28.7", 31 | "less": "^2.7.2", 32 | "less-loader": "^4.0.5", 33 | "rimraf": "^2.6.1", 34 | "style-loader": "^0.18.2", 35 | "watch": "^1.0.2", 36 | "webpack": "^3.10.0" 37 | }, 38 | "dependencies": { 39 | "@jupyter-widgets/base": "^1.1.8", 40 | "@jupyter-widgets/controls": "^1.1.5", 41 | "c3": "^0.4.18", 42 | "d3": "^3.5.5", 43 | "jquery": "^3.2.1", 44 | "jquery-ui-bundle": "^1.12.1", 45 | "pivottable": "^2.18.0" 46 | } 47 | } 48 | -------------------------------------------------------------------------------- /ipypivot/_options.py: -------------------------------------------------------------------------------- 1 | 2 | from ._wrapper import Wrapper 3 | from ._state import state_Pivot, state_PivotUI 4 | 5 | 6 | class Pivot_Options(Wrapper): 7 | """ 8 | Options for Pivot object 9 | 10 | Ref: https://github.com/nicolaskruchten/pivottable/wiki/Parameters#options-object-for-pivot 11 | """ 12 | 13 | def __init__(self, pivot): 14 | Wrapper.__init__(self, state_Pivot) 15 | self._pivot = pivot 16 | 17 | def __setattr__(self, attr, value): 18 | object.__setattr__(self, attr, value) 19 | if attr != '_pivot' and attr != 'path' and attr != 'state': # necessary to avoid errors 20 | self._pivot._counter += 1 21 | 22 | def __repr__(self): 23 | return str(self.to_dict()) 24 | 25 | 26 | class PivotUI_Options(Wrapper): 27 | """ 28 | Options for Pivot object 29 | 30 | Ref: https://github.com/nicolaskruchten/pivottable/wiki/Parameters#options-object-for-pivotui 31 | """ 32 | 33 | def __init__(self, pivot): 34 | Wrapper.__init__(self, state_PivotUI) 35 | self._pivot = pivot 36 | 37 | def __setattr__(self, attr, value): 38 | object.__setattr__(self, attr, value) 39 | if attr != '_pivot' and attr != 'path' and attr != 'state': # necessary to avoid errors 40 | self._pivot._counter += 1 41 | 42 | def __repr__(self): 43 | return str(self.to_dict()) 44 | -------------------------------------------------------------------------------- /ipypivot/_widget_pivot.py: -------------------------------------------------------------------------------- 1 | 2 | import ipywidgets as widgets 3 | import pandas as pd 4 | from copy import deepcopy 5 | 6 | 7 | from traitlets import observe 8 | from traitlets import Unicode, Dict, List, Int 9 | 10 | from io import StringIO 11 | 12 | from ._options import Pivot_Options 13 | 14 | 15 | @widgets.register 16 | class Pivot(widgets.DOMWidget): 17 | """An example widget.""" 18 | _view_name = Unicode('PivotView').tag(sync=True) 19 | _model_name = Unicode('PivotModel').tag(sync=True) 20 | _view_module = Unicode('ipypivot').tag(sync=True) 21 | _model_module = Unicode('ipypivot').tag(sync=True) 22 | _view_module_version = Unicode('~0.1.1').tag(sync=True) 23 | _model_module_version = Unicode('~0.1.1').tag(sync=True) 24 | 25 | _data = List([]).tag(sync=True) 26 | _options = Dict({}).tag(sync=True) 27 | _counter = Int(0) 28 | 29 | def __init__(self, 30 | df_data=None): 31 | """ 32 | """ 33 | super().__init__() 34 | self.options = Pivot_Options(self) 35 | 36 | if df_data is not None: 37 | arr = df_data.values.tolist() 38 | arr.insert(0, list(df_data.columns)) 39 | self._data = arr 40 | 41 | self.df_data = df_data.copy() 42 | 43 | @observe('_counter') 44 | def change_options(self, change): 45 | # print('change') 46 | self._options = self.options.to_dict() 47 | -------------------------------------------------------------------------------- /ipypivot/_widget_util.py: -------------------------------------------------------------------------------- 1 | 2 | 3 | import pandas as pd 4 | 5 | 6 | def shape_df(df, 7 | options): 8 | """ 9 | Build multi index dataframe from pivottable.js data 10 | """ 11 | 12 | row_names = options['rows'] 13 | col_names = options['cols'] 14 | 15 | if row_names and col_names: 16 | df2 = df.set_index(row_names) 17 | 18 | row_idx = df2.index 19 | data = df2.values 20 | 21 | col_tuples = [tuple(e.split('-')) 22 | for e in list(df.columns[len(row_names):])] 23 | 24 | col_idx = pd.MultiIndex.from_tuples(tuples=col_tuples, 25 | names=col_names) 26 | 27 | df_res = pd.DataFrame(data=data, 28 | index=row_idx, 29 | columns=col_idx) 30 | 31 | elif row_names and not col_names: 32 | df2 = df.set_index(row_names) 33 | 34 | df_res = pd.DataFrame(df2) 35 | 36 | elif not row_names and col_names: 37 | row_idx = df.index 38 | data = df.values 39 | 40 | col_tuples = [tuple(e.split('-')) 41 | for e in list(df.columns)] 42 | 43 | col_idx = pd.MultiIndex.from_tuples(tuples=col_tuples, 44 | names=col_names) 45 | 46 | df_res = pd.DataFrame(data=data, 47 | index=row_idx, 48 | columns=col_idx) 49 | 50 | else: 51 | 52 | df_res = pd.DataFrame() 53 | 54 | return df_res 55 | -------------------------------------------------------------------------------- /js/lib/util.js: -------------------------------------------------------------------------------- 1 | 2 | 'use strict'; 3 | 4 | // these lib may be used in functions input as string by user 5 | var $ = require('jquery'); 6 | var c3 = require('c3'); 7 | var d3 = require('d3'); 8 | 9 | var JSONPivotTable = {}; 10 | 11 | JSONPivotTable.stringify = function (obj) { 12 | return JSON.stringify(obj, function (key, value) { 13 | return (typeof value === 'function') ? value.toString() : value; 14 | }); 15 | }; 16 | 17 | JSONPivotTable.parse = function (str) { 18 | return JSON.parse(str, function (key, value) { 19 | if (typeof value != 'string') return value; 20 | 21 | var valueCompact = value.replace(/\s+/g, '').replace(/\r?\n|\r/g, ''); 22 | var r; 23 | 24 | if (valueCompact.substring(0, 8) == 'function') { 25 | // console.log('pos function - key: ' + key + ', value: ' + value); 26 | r = eval('(' + value + ')'); 27 | // console.log('post eval'); 28 | // console.log(r); 29 | return r; 30 | } 31 | else if (valueCompact.substring(0, 16) == '$.pivotUtilities') { 32 | r = eval('(' + value + ')'); 33 | return r; 34 | } 35 | else if (valueCompact.substring(0, 8) == '$.extend') { 36 | r = eval('(' + value + ')'); 37 | return r; 38 | } 39 | else { 40 | return value; 41 | } 42 | }); 43 | }; 44 | 45 | var formatDate = function (d) { 46 | // var options = { 47 | // month: 'short', 48 | // day: 'numeric', 49 | // hour: '2-digit', 50 | // minute: '2-digit', 51 | // second: '2-digit' 52 | // }; 53 | // return d.toLocaleDateString('en-US', options); 54 | 55 | var dateStr = d.getHours() + ':' + d.getMinutes() + ':' + d.getSeconds(); 56 | return dateStr; 57 | }; 58 | 59 | 60 | var util = { 61 | JSONPivotTable: JSONPivotTable, 62 | formatDate: formatDate 63 | }; 64 | 65 | module.exports = util; -------------------------------------------------------------------------------- /js/lib/widget_pivotui.js: -------------------------------------------------------------------------------- 1 | "use strict"; 2 | 3 | var widgets = require("@jupyter-widgets/base"); 4 | var $ = require("jquery"); 5 | var pivot_table = require("./pivot-table"); 6 | require("./style.css"); 7 | 8 | // Custom Model. Custom widgets models must at least provide default values 9 | // for model attributes, including 10 | // 11 | // - `_view_name` 12 | // - `_view_module` 13 | // - `_view_module_version` 14 | // 15 | // - `_model_name` 16 | // - `_model_module` 17 | // - `_model_module_version` 18 | // 19 | // when different from the base class. 20 | 21 | // When serialiazing the entire widget state for embedding, only values that 22 | // differ from the defaults will be specified. 23 | 24 | var PivotUIModel = widgets.DOMWidgetModel.extend({ 25 | defaults: $.extend(widgets.DOMWidgetModel.prototype.defaults(), { 26 | _model_name: "PivotUIModel", 27 | _view_name: "PivotUIView", 28 | _model_module: "ipypivot", 29 | _view_module: "ipypivot", 30 | _model_module_version: "~0.1.1", 31 | _view_module_version: "~0.1.1", 32 | _data: [], 33 | _options: {}, 34 | _data_tsv: "" 35 | }) 36 | }); 37 | 38 | var PivotUIView = widgets.DOMWidgetView.extend({ 39 | render: function() { 40 | console.log("ipypivot PivotUIModel start render"); 41 | 42 | // explicit 43 | var that = this; 44 | 45 | // build pivottable and append it to dom 46 | pivot_table.createPivotUI(that); 47 | 48 | // event listener 49 | that.model.on("change:_options", that.options_changed, that); 50 | 51 | // debug 52 | window.dom = that.el; 53 | }, 54 | 55 | options_changed: function() { 56 | console.log("options changed"); 57 | var that = this; 58 | pivot_table.call_pivottablejs(that, "pivotui", "update"); 59 | } 60 | }); 61 | 62 | module.exports = { 63 | PivotUIModel: PivotUIModel, 64 | PivotUIView: PivotUIView 65 | }; 66 | -------------------------------------------------------------------------------- /ipypivot/api/pivot.tsv: -------------------------------------------------------------------------------- 1 | Key Type Default value Description 2 | rows array of strings [] array of attribute names to use as rows 3 | cols array of strings [] array of attribute names for use as columns 4 | aggregator function $.pivotUtilities .aggregators["Count"]() constructor for an object which will aggregate results per cell (see documentation) 5 | aggregatorName string "Count" Name of the aggregator, used for display purposes in some renderers 6 | renderer function table() generates output from pivot data structure (see documentation) 7 | rowOrder string "key_a_to_z" the order in which row data is provided to the renderer, must be one of "key_a_to_z", "value_a_to_z", "value_z_to_a", ordering by value orders by row total 8 | colOrder string "key_a_to_z" the order in which column data is provided to the renderer, must be one of "key_a_to_z", "value_a_to_z", "value_z_to_a", ordering by value orders by column total 9 | derivedAttributes object of functions {} object to define derived attributes (see documentation) 10 | dataClass function $.pivotUtilities.PivotData Constructor for the data class to be built and passed to the Renderer (should be a subclass of the default) 11 | filter function function(){return true;} called on each record, returns false if the record is to be excluded from the input before rendering or true otherwise 12 | sorters object or function {} accessed or called with an attribute name and can return a function which can be used as an argument to array.sort for output purposes. If no function is returned, the default sorting mechanism is a built-in "natural sort" implementation. Useful for sorting attributes like month names, see example 1 and example 2. 13 | rendererOptions object {} object passed through to renderer as options 14 | localeStrings object en strings locale-specific strings for error messages (see locale parameter below) 15 | -------------------------------------------------------------------------------- /js/lib/widget_pivot.js: -------------------------------------------------------------------------------- 1 | 2 | "use strict"; 3 | 4 | var widgets = require("@jupyter-widgets/base"); 5 | var $ = require("jquery"); 6 | var pivot_table = require("./pivot-table"); 7 | // var util = require('./util'); 8 | require("./style.css"); 9 | 10 | // Custom Model. Custom widgets models must at least provide default values 11 | // for model attributes, including 12 | // 13 | // - `_view_name` 14 | // - `_view_module` 15 | // - `_view_module_version` 16 | // 17 | // - `_model_name` 18 | // - `_model_module` 19 | // - `_model_module_version` 20 | // 21 | // when different from the base class. 22 | 23 | // When serialiazing the entire widget state for embedding, only values that 24 | // differ from the defaults will be specified. 25 | 26 | var PivotModel = widgets.DOMWidgetModel.extend({ 27 | defaults: $.extend(widgets.DOMWidgetModel.prototype.defaults(), { 28 | _model_name: "PivotModel", 29 | _view_name: "PivotView", 30 | _model_module: "ipypivot", 31 | _view_module: "ipypivot", 32 | _model_module_version: "~0.1.1", 33 | _view_module_version: "~0.1.1", 34 | _data: [], 35 | _options: {} 36 | }) 37 | }); 38 | 39 | var PivotView = widgets.DOMWidgetView.extend({ 40 | render: function() { 41 | console.log("ipypivot PivotModel start render"); 42 | 43 | // explicit 44 | var that = this; 45 | 46 | // build pivottable and append it to dom 47 | pivot_table.createPivot(that); 48 | 49 | // event listener 50 | that.model.on("change:_options", that.options_changed, that); 51 | 52 | var message = document.createElement("div"); 53 | message.className = "last-saved"; 54 | // message.innerHTML = 'Last Save ' + util.formatDate(new Date()); 55 | this.message = message; 56 | 57 | this.el.insertBefore(message, this.el.firstChild); 58 | 59 | // debug 60 | // window.dom = that.el; 61 | }, 62 | 63 | options_changed: function() { 64 | console.log("options changed"); 65 | var that = this; 66 | // that.message.innerHTML = 'Last Save ' + util.formatDate(new Date()); 67 | pivot_table.call_pivottablejs(that, "pivot", "update"); 68 | } 69 | }); 70 | 71 | module.exports = { 72 | PivotModel: PivotModel, 73 | PivotView: PivotView 74 | }; 75 | -------------------------------------------------------------------------------- /ipypivot/_widget_pivotui_box.py: -------------------------------------------------------------------------------- 1 | import os 2 | import datetime as dt 3 | import ipywidgets as widgets 4 | 5 | 6 | from IPython.display import display, Markdown 7 | from ipywidgets import Button, HTML, Layout, Box, HBox, VBox 8 | from traitlets import Unicode 9 | 10 | from ._widget_pivotui import PivotUI 11 | 12 | 13 | class PivotUIBox(VBox): 14 | """PivotUI and save/restore buttons widget""" 15 | _view_name = Unicode('PivotUIBoxView').tag(sync=True) 16 | _model_name = Unicode('PivotUIBoxModel').tag(sync=True) 17 | _view_module = Unicode('ipypivot').tag(sync=True) 18 | _model_module = Unicode('ipypivot').tag(sync=True) 19 | _view_module_version = Unicode('~0.1.1').tag(sync=True) 20 | _model_module_version = Unicode('~0.1.1').tag(sync=True) 21 | 22 | def __init__(self, 23 | df_data=None): 24 | """ 25 | """ 26 | self.table = PivotUI(df_data=df_data) 27 | self.buttons = self._build_buttons() 28 | super().__init__([self.buttons, self.table]) 29 | 30 | def _build_buttons(self): 31 | """ 32 | """ 33 | 34 | self.button_save = Button(description='Save', 35 | layout=Layout(width='100px')) 36 | 37 | self.button_restore = Button(description='Restore', 38 | layout=Layout(width='100px')) 39 | 40 | self.status = widgets.Text(value='', 41 | disabled=True, 42 | layout=widgets.Layout(width='160px')) 43 | 44 | def on_save_clicked(b): 45 | self.status.value = 'Last Save: ' + self._now() 46 | 47 | self.button_save.on_click(on_save_clicked) 48 | 49 | items = [self.button_save, self.button_restore, self.status] 50 | 51 | box_layout = Layout(display='flex', 52 | justify_content='space-around', 53 | width='500px') 54 | buttons = HBox(children=items, 55 | layout=box_layout) 56 | 57 | box_layout = Layout(display='flex', 58 | justify_content='flex-start',) 59 | 60 | box = HBox(children=items, layout=box_layout) 61 | 62 | return box 63 | 64 | @staticmethod 65 | def _now(): 66 | """ 67 | """ 68 | return dt.datetime.now().strftime('%H:%M:%S') 69 | -------------------------------------------------------------------------------- /ipypivot/_widget_pivotui.py: -------------------------------------------------------------------------------- 1 | 2 | import ipywidgets as widgets 3 | import pandas as pd 4 | 5 | from traitlets import observe 6 | from traitlets import Unicode, Dict, List, Int 7 | 8 | from io import StringIO 9 | 10 | from ._options import PivotUI_Options 11 | from ._widget_util import shape_df 12 | 13 | 14 | # from IPython.display import display 15 | 16 | 17 | @widgets.register 18 | class PivotUI(widgets.DOMWidget): 19 | """PivotUI widget""" 20 | _view_name = Unicode('PivotUIView').tag(sync=True) 21 | _model_name = Unicode('PivotUIModel').tag(sync=True) 22 | _view_module = Unicode('ipypivot').tag(sync=True) 23 | _model_module = Unicode('ipypivot').tag(sync=True) 24 | _view_module_version = Unicode('~0.1.1').tag(sync=True) 25 | _model_module_version = Unicode('~0.1.1').tag(sync=True) 26 | 27 | _data = List([]).tag(sync=True) 28 | _options = Dict({}).tag(sync=True) 29 | _data_tsv = Unicode('Empty').tag(sync=True) 30 | _counter = Int(0) 31 | 32 | @observe('_data_tsv') 33 | def tsv_to_df(self, change): 34 | # print(change['old']) 35 | # print(change['new']) 36 | df_tsv = pd.read_csv(StringIO(self._data_tsv), 37 | sep=r'\t', 38 | lineterminator=r'\n', 39 | engine='python') 40 | self.df_export = shape_df(df_tsv, 41 | self._options) 42 | # display(self.df_export) 43 | 44 | def __init__(self, 45 | df_data=None): 46 | """ 47 | """ 48 | super().__init__() 49 | self.options = PivotUI_Options(self) 50 | 51 | if df_data is not None: 52 | arr = df_data.values.tolist() 53 | arr.insert(0, list(df_data.columns)) 54 | self._data = arr 55 | 56 | @observe('_counter') 57 | def change_options(self, change): 58 | # print('change _counter') 59 | self._options = self.options.to_dict() 60 | 61 | @observe('_options') 62 | def change_options_dic(self, change): 63 | # print('change options') 64 | for key, value in self._options.items(): 65 | if key not in ['aggregators', 'derivedAttributes', 'renderers', 'sorters', 'rendererOptions']: 66 | if key not in self.options.__dict__.keys() or getattr(self.options, key) != value: 67 | object.__setattr__(self.options, key, value) 68 | -------------------------------------------------------------------------------- /ipypivot/api/pivot.json: -------------------------------------------------------------------------------- 1 | [{"Key ":"rows ","Type ":"array of strings ","Default value ":"[] ","Description":"array of attribute names to use as rows"},{"Key ":"cols ","Type ":"array of strings ","Default value ":"[] ","Description":"array of attribute names for use as columns"},{"Key ":"aggregator ","Type ":"function ","Default value ":"$.pivotUtilities .aggregators[\"Count\"]() ","Description":"constructor for an object which will aggregate results per cell (see documentation)"},{"Key ":"aggregatorName ","Type ":"string ","Default value ":"Count ","Description":"Name of the aggregator, used for display purposes in some renderers"},{"Key ":"renderer ","Type ":"function ","Default value ":"table() ","Description":"generates output from pivot data structure (see documentation)"},{"Key ":"rowOrder ","Type ":"string ","Default value ":"key_a_to_z ","Description":"the order in which row data is provided to the renderer, must be one of \"key_a_to_z\", \"value_a_to_z\", \"value_z_to_a\", ordering by value orders by row total"},{"Key ":"colOrder ","Type ":"string ","Default value ":"key_a_to_z ","Description":"the order in which column data is provided to the renderer, must be one of \"key_a_to_z\", \"value_a_to_z\", \"value_z_to_a\", ordering by value orders by column total"},{"Key ":"derivedAttributes ","Type ":"object of functions ","Default value ":"{} ","Description":"object to define derived attributes (see documentation)"},{"Key ":"dataClass ","Type ":"function ","Default value ":"$.pivotUtilities.PivotData ","Description":"Constructor for the data class to be built and passed to the Renderer (should be a subclass of the default)"},{"Key ":"filter ","Type ":"function ","Default value ":"function(){return true;} ","Description":"called on each record, returns false if the record is to be excluded from the input before rendering or true otherwise"},{"Key ":"sorters ","Type ":"object or function ","Default value ":"{} ","Description":"accessed or called with an attribute name and can return a function which can be used as an argument to array.sort for output purposes. If no function is returned, the default sorting mechanism is a built-in \"natural sort\" implementation. Useful for sorting attributes like month names, see example 1 and example 2."},{"Key ":"rendererOptions ","Type ":"object ","Default value ":"{} ","Description":"object passed through to renderer as options"},{"Key ":"localeStrings ","Type ":"object ","Default value ":"en strings ","Description":"locale-specific strings for error messages (see locale parameter below)"}] -------------------------------------------------------------------------------- /js/webpack.config.js: -------------------------------------------------------------------------------- 1 | 2 | var path = require('path'); 3 | var version = require('./package.json').version; 4 | 5 | // Custom webpack rules are generally the same for all webpack bundles, hence 6 | // stored in a separate local variable. 7 | var rules = [ 8 | { test: /\.css$/, use: ['style-loader', 'css-loader'] }, 9 | { test: /\.less$/, use: ['style-loader', 'css-loader', 'less-loader'] }, 10 | { test: /\.json$/, loader: 'json-loader' } 11 | ]; 12 | 13 | 14 | module.exports = [ 15 | {// Notebook extension 16 | // 17 | // This bundle only contains the part of the JavaScript that is run on 18 | // load of the notebook. This section generally only performs 19 | // some configuration for requirejs, and provides the legacy 20 | // "load_ipython_extension" function which is required for any notebook 21 | // extension. 22 | // 23 | entry: './lib/extension.js', 24 | output: { 25 | filename: 'extension.js', 26 | path: path.resolve(__dirname, '..', 'ipypivot', 'static'), 27 | libraryTarget: 'amd' 28 | } 29 | }, 30 | {// Bundle for the notebook containing the custom widget views and models 31 | // 32 | // This bundle contains the implementation for the custom widget views and 33 | // custom widget. 34 | // It must be an amd module 35 | // 36 | entry: './lib/index.js', 37 | output: { 38 | filename: 'index.js', 39 | path: path.resolve(__dirname, '..', 'ipypivot', 'static'), 40 | libraryTarget: 'amd' 41 | }, 42 | devtool: 'source-map', 43 | module: { 44 | rules: rules 45 | }, 46 | // externals: ['@jupyter-widgets/base'] 47 | externals: ['@jupyter-widgets/base', '@jupyter-widgets/controls'] 48 | }, 49 | {// Embeddable widget-pivot-table bundle 50 | // 51 | // This bundle is generally almost identical to the notebook bundle 52 | // containing the custom widget views and models. 53 | // 54 | // The only difference is in the configuration of the webpack public path 55 | // for the static assets. 56 | // 57 | // It will be automatically distributed by unpkg to work with the static 58 | // widget embedder. 59 | // 60 | // The target bundle is always `dist/index.js`, which is the path required 61 | // by the custom widget embedder. 62 | // 63 | entry: './lib/embed.js', 64 | output: { 65 | filename: 'index.js', 66 | path: path.resolve(__dirname, 'dist'), 67 | libraryTarget: 'amd', 68 | publicPath: 'https://unpkg.com/ipypivot@' + version + '/dist/' 69 | }, 70 | devtool: 'source-map', 71 | module: { 72 | rules: rules 73 | }, 74 | // externals: ['@jupyter-widgets/base'] 75 | externals: ['@jupyter-widgets/base', '@jupyter-widgets/controls'] 76 | } 77 | ]; 78 | -------------------------------------------------------------------------------- /js/lib/widget_pivotui_box.js: -------------------------------------------------------------------------------- 1 | "use strict"; 2 | 3 | var ipywidgets = require("@jupyter-widgets/controls"); 4 | var $ = require("jquery"); 5 | var pivot_table = require("./pivot-table"); 6 | require("./style.css"); 7 | 8 | // Custom Model. Custom widgets models must at least provide default values 9 | // for model attributes, including 10 | // 11 | // - `_view_name` 12 | // - `_view_module` 13 | // - `_view_module_version` 14 | // 15 | // - `_model_name` 16 | // - `_model_module` 17 | // - `_model_module_version` 18 | // 19 | // when different from the base class. 20 | 21 | // When serialiazing the entire widget state for embedding, only values that 22 | // differ from the defaults will be specified. 23 | 24 | var PivotUIBoxModel = ipywidgets.VBoxModel.extend({ 25 | defaults: $.extend(ipywidgets.VBoxModel.prototype.defaults(), { 26 | _model_name: "PivotUIBoxModel", 27 | _view_name: "PivotUIBoxView", 28 | _model_module: "ipypivot", 29 | _view_module: "ipypivot", 30 | _model_module_version: "~0.1.1", 31 | _view_module_version: "~0.1.1", 32 | }) 33 | }); 34 | 35 | var PivotUIBoxView = ipywidgets.VBoxView.extend({ 36 | render: function() { 37 | console.log("ipypivot PivotUIBoxModel start render"); 38 | 39 | window.boxview = this; // debug 40 | ipywidgets.VBoxView.prototype.render.call(this); // call default render 41 | this.childrenviews = this.children_views.views; // get children views 42 | 43 | var buttons = this.childrenviews[0]; 44 | var pivot = this.childrenviews[1]; 45 | 46 | var that = this; // explicit 47 | 48 | pivot.then(function(view_pivot) { 49 | that.view_pivot = view_pivot; 50 | 51 | var button_save_clicked = function() { 52 | console.log( 53 | "ipypivot PivotUIBoxModel start button_save_clicked" 54 | ); 55 | // save triggers all views rendering 56 | pivot_table.save_to_model(view_pivot); 57 | }; 58 | 59 | var button_restore_clicked = function() { 60 | console.log( 61 | "ipypivot PivotUIBoxModel start button_restore_cliked" 62 | ); 63 | // call_pivottablejs 64 | pivot_table.call_pivottablejs(view_pivot, "pivotui", "update"); 65 | }; 66 | 67 | buttons.then(function(view_buttons) { 68 | view_buttons.children_views.views[0].then(function(button_save) { 69 | // add new event listener 70 | button_save.el.addEventListener("click", button_save_clicked); 71 | }); 72 | 73 | view_buttons.children_views.views[1].then(function(button_restore) { 74 | // add new event listener 75 | button_restore.el.addEventListener("click", button_restore_clicked); 76 | }); 77 | }); 78 | }); 79 | } 80 | }); 81 | 82 | module.exports = { 83 | PivotUIBoxModel: PivotUIBoxModel, 84 | PivotUIBoxView: PivotUIBoxView 85 | }; 86 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # ipypivot 2 | 3 | [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/PierreMarion23/ipypivot-binder/master?filepath=demo_pivot_table.ipynb) 4 | 5 | ## 1 - Overview 6 | 7 | This is a [jupyter widget (or ipywidget)](https://ipywidgets.readthedocs.io/en/stable/) wrapping the very convenient [pivotTable.js](https://pivottable.js.org/examples/) library. 8 | 9 | It enables to display and embed a pivotTable in a Jupyter notebook in a few Python lines. 10 | 11 | ## 2 - Install 12 | 13 | From pip: 14 | 15 | ```bash 16 | $ pip install ipypivot 17 | ``` 18 | 19 | From conda: 20 | 21 | ```bash 22 | $ conda install -c conda-forge ipypivot 23 | ``` 24 | 25 | For more info about jupyter widgets (installation process, packaging and publishing), and also tips about the development of custom widgets, see [this tutorial repo](https://github.com/ocoudray/first-widget). All what's written there is also true for this package, just changing the name `first-widget` into `ipypivot`. 26 | 27 | ## 3 - User Guide 28 | 29 | See the [demo notebook](https://nbviewer.jupyter.org/github/PierreMarion23/ipypivot/blob/master/notebooks/demo_ipypivot.ipynb) for examples and explanations. 30 | 31 | In short: 32 | + The 2 pivotTable.js functions `pivot()` and `pivotUI()` are tranparently accessible. 33 | + The data is expected in [pandas DataFrame](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html) format. 34 | + The options are input as an option helper object (`Pivot_Options` or `PivotUI_Options`) 35 | + _Note_: the range of possible options for `pivot()` and `pivotUI()` differ - but there is overlap. 36 | 37 | 38 | Basic examples: 39 | 40 | ```python 41 | df = pd.DataFrame(data=[{'color': 'blue', 'shape': 'circle'}, 42 | {'color': "red", 'shape': 'triangle'}]) 43 | 44 | # pivot() 45 | p = pt.Pivot(df_data=df) 46 | opts = p.options 47 | opts.rows = ['color'] 48 | opts.cols = ['shape'] 49 | display(p) 50 | 51 | # pivotUI 52 | p = pt.PivotUI(df_data=df) 53 | opts = p.options 54 | opts.rows = ['color'] 55 | opts.cols = ['shape'] 56 | display(p) 57 | ``` 58 | 59 | 60 | ## 4 - Alternative 61 | 62 | The repo branch `alt` contains an alternative widget PivotUI widget. 63 | It has the same the same features but is implemented in pure web (buttons and 'Last Save' fields). 64 | As opposed to the master branch which implements a combo of core and custom widgets. 65 | The latter is more modular and flexible. In this case it is also slightly more complex. 66 | But it may serve as an example for building a Jupyter widget from several component widgets. 67 | 68 | ## 5 - Credit 69 | 70 | This repo is the result from a collaboration between [oscar6echo](https://github.com/oscar6echo), [ocoudray](https://github.com/ocoudray), and [PierreMarion23](https://github.com/PierreMarion23). 71 | 72 | For more context, read the article [Authoring Custom Jupyter Widgets - A Hands-On Guide](https://blog.jupyter.org/authoring-custom-jupyter-widgets-2884a462e724) on the [Jupyter Blog](https://blog.jupyter.org/). 73 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | 2 | # necessary to push to PyPI 3 | # cf. http://peterdowns.com/posts/first-time-with-pypi.html 4 | # cf. https://tom-christie.github.io/articles/pypi/ 5 | # cf. https://pythonhosted.org/setuptools/setuptools.html 6 | 7 | # commands: 8 | # python setup.py sdist upload -r testpypi 9 | # python setup.py sdist upload -r pypi 10 | 11 | 12 | from distutils.util import convert_path 13 | from setuptools import setup, find_packages 14 | 15 | 16 | ################################################## 17 | module = 'ipypivot' 18 | ################################################## 19 | 20 | # get version from __meta__ 21 | meta_ns = {} 22 | path = convert_path(module + '/__meta__.py') 23 | with open(path) as meta_file: 24 | exec(meta_file.read(), meta_ns) 25 | 26 | 27 | # read requirements.txt 28 | with open('requirements.txt', 'r') as f: 29 | content = f.read() 30 | li_req = content.split('\n') 31 | install_requires = [e.strip() for e in li_req if len(e)] 32 | 33 | 34 | name = module 35 | name_url = name.replace('_', '-') 36 | 37 | packages = [module] 38 | version = meta_ns['__version__'] 39 | description = 'Jupyter widget (or ipywidget) wrapping the very convenient pivotTable.js library' 40 | long_description = 'See github repo README' 41 | author = 'PierreMarion23' 42 | author_email = 'pierre23.marion@free.fr' 43 | # github template 44 | url = 'https://github.com/{}/{}'.format(author, 45 | name_url) 46 | download_url = 'https://github.com/{}/{}/tarball/{}'.format(author, 47 | name_url, 48 | version) 49 | keywords = ['jupyter-widget', 50 | 'javascript', 51 | 'pivottable', 52 | ] 53 | license = 'MIT' 54 | classifiers = ['Development Status :: 4 - Beta', 55 | 'License :: OSI Approved :: MIT License', 56 | 'Programming Language :: Python :: 3.5', 57 | 'Programming Language :: Python :: 3.6' 58 | ] 59 | include_package_data = True 60 | data_files = [ 61 | ('share/jupyter/nbextensions/ipypivot', [ 62 | 'ipypivot/static/extension.js', 63 | 'ipypivot/static/index.js', 64 | 'ipypivot/static/index.js.map', 65 | ]), 66 | ('etc/jupyter/nbconfig/notebook.d', [ 67 | 'enable_ipypivot.json' 68 | ]) 69 | 70 | ] 71 | install_requires = install_requires 72 | zip_safe = False 73 | 74 | 75 | # ref https://packaging.python.org/tutorials/distributing-packages/ 76 | setup( 77 | name=name, 78 | version=version, 79 | packages=packages, 80 | author=author, 81 | author_email=author_email, 82 | description=description, 83 | long_description=long_description, 84 | url=url, 85 | download_url=download_url, 86 | keywords=keywords, 87 | license=license, 88 | classifiers=classifiers, 89 | include_package_data=include_package_data, 90 | data_files=data_files, 91 | install_requires=install_requires, 92 | zip_safe=zip_safe, 93 | ) 94 | -------------------------------------------------------------------------------- /js/lib/pivot-table.css: -------------------------------------------------------------------------------- 1 | 2 | .pvtUi{ 3 | color:#333 4 | } 5 | table.pvtTable{ 6 | font-size:8pt; 7 | text-align:left; 8 | border-collapse:collapse 9 | } 10 | table.pvtTable tbody tr th,table.pvtTable thead tr th{ 11 | background-color:#e6EEEE; 12 | border:1px solid #CDCDCD; 13 | font-size:8pt; 14 | padding:5px 15 | } 16 | table.pvtTable .pvtColLabel{ 17 | text-align:center 18 | } 19 | table.pvtTable .pvtTotalLabel{ 20 | text-align:right 21 | } 22 | table.pvtTable tbody tr td{ 23 | color:#3D3D3D; 24 | padding:5px; 25 | background-color:#FFF; 26 | border:1px solid #CDCDCD; 27 | vertical-align:top; 28 | text-align:right 29 | } 30 | .pvtGrandTotal,.pvtTotal{ 31 | font-weight:700 32 | } 33 | .pvtVals{ 34 | text-align:center; 35 | white-space:nowrap 36 | } 37 | .pvtColOrder,.pvtRowOrder{ 38 | cursor:pointer; 39 | width:15px; 40 | margin-left:5px; 41 | display:inline-block 42 | } 43 | .pvtAggregator{ 44 | margin-bottom:5px 45 | } 46 | .pvtAxisContainer,.pvtVals{ 47 | border:1px solid gray; 48 | background:#EEE; 49 | padding:5px; 50 | min-width:20px; 51 | min-height:20px 52 | } 53 | .pvtAxisContainer li{ 54 | padding:8px 6px; 55 | list-style-type:none; 56 | cursor:move 57 | } 58 | .pvtAxisContainer li.pvtPlaceholder{ 59 | -webkit-border-radius:5px; 60 | padding:3px 15px; 61 | -moz-border-radius:5px; 62 | border-radius:5px; 63 | border:1px dashed #aaa 64 | } 65 | .pvtAxisContainer li span.pvtAttr{ 66 | -webkit-text-size-adjust:100%; 67 | background:#F3F3F3; 68 | border:1px solid #DEDEDE; 69 | padding:2px 5px; 70 | white-space:nowrap; 71 | -webkit-border-radius:5px; 72 | -moz-border-radius:5px; 73 | border-radius:5px 74 | } 75 | .pvtTriangle{ 76 | cursor:pointer; 77 | color:grey 78 | } 79 | .pvtHorizList li{ 80 | display:inline 81 | } 82 | .pvtVertList{ 83 | vertical-align:top 84 | } 85 | .pvtFilteredAttribute{ 86 | font-style:italic 87 | } 88 | .pvtFilterBox{ 89 | z-index:100; 90 | width:300px; 91 | border:1px solid gray; 92 | background-color:#fff; 93 | position:absolute; 94 | text-align:center 95 | } 96 | .pvtFilterBox h4{ 97 | margin:15px 98 | } 99 | .pvtFilterBox p{ 100 | margin:10px auto 101 | } 102 | .pvtFilterBox label{ 103 | font-weight:400 104 | } 105 | .pvtFilterBox input[type=checkbox]{ 106 | margin-right:10px; 107 | margin-left:10px 108 | } 109 | .pvtFilterBox input[type=text]{ 110 | width:230px 111 | } 112 | .pvtFilterBox .count{ 113 | color:gray; 114 | font-weight:400; 115 | margin-left:3px 116 | } 117 | .pvtCheckContainer{ 118 | text-align:left; 119 | font-size:14px; 120 | white-space:nowrap; 121 | overflow-y:scroll; 122 | width:100%; 123 | max-height:250px; 124 | border-top:1px solid #d3d3d3; 125 | border-bottom:1px solid #d3d3d3 126 | } 127 | .pvtCheckContainer p{ 128 | margin:5px 129 | } 130 | .pvtRendererArea{ 131 | padding:5px 132 | } 133 | -------------------------------------------------------------------------------- /js/lib/c3.css: -------------------------------------------------------------------------------- 1 | .c3 svg{ 2 | font:10px sans-serif; 3 | -webkit-tap-highlight-color:transparent 4 | } 5 | .c3 line,.c3 path{ 6 | fill:none; 7 | stroke:#000 8 | } 9 | .c3 text{ 10 | -webkit-user-select:none; 11 | -moz-user-select:none; 12 | user-select:none 13 | } 14 | .c3-bars path,.c3-event-rect,.c3-legend-item-tile,.c3-xgrid-focus,.c3-ygrid{ 15 | shape-rendering:crispEdges 16 | } 17 | .c3-chart-arc path{ 18 | stroke:#fff 19 | } 20 | .c3-chart-arc text{ 21 | fill:#fff; 22 | font-size:13px 23 | } 24 | .c3-grid line{ 25 | stroke:#aaa 26 | } 27 | .c3-grid text{ 28 | fill:#aaa 29 | } 30 | .c3-xgrid,.c3-ygrid{ 31 | stroke-dasharray:3 3 32 | } 33 | .c3-text.c3-empty{ 34 | fill:gray; 35 | font-size:2em 36 | } 37 | .c3-line{ 38 | stroke-width:1px 39 | } 40 | .c3-circle._expanded_{ 41 | stroke-width:1px; 42 | stroke:#fff 43 | } 44 | .c3-selected-circle{ 45 | fill:#fff; 46 | stroke-width:2px 47 | } 48 | .c3-bar{ 49 | stroke-width:0 50 | } 51 | .c3-bar._expanded_{ 52 | fill-opacity:.75 53 | } 54 | .c3-target.c3-focused{ 55 | opacity:1 56 | } 57 | .c3-target.c3-focused path.c3-line,.c3-target.c3-focused path.c3-step{ 58 | stroke-width:2px 59 | } 60 | .c3-target.c3-defocused{ 61 | opacity:.3!important 62 | } 63 | .c3-region{ 64 | fill:#4682b4; 65 | fill-opacity:.1 66 | } 67 | .c3-brush .extent{ 68 | fill-opacity:.1 69 | } 70 | .c3-legend-item{ 71 | font-size:12px 72 | } 73 | .c3-legend-item-hidden{ 74 | opacity:.15 75 | } 76 | .c3-legend-background{ 77 | opacity:.75; 78 | fill:#fff; 79 | stroke:#d3d3d3; 80 | stroke-width:1 81 | } 82 | .c3-title{ 83 | font:14px sans-serif 84 | } 85 | .c3-tooltip-container{ 86 | z-index:10 87 | } 88 | .c3-tooltip{ 89 | border-collapse:collapse; 90 | border-spacing:0; 91 | background-color:#fff; 92 | empty-cells:show; 93 | -webkit-box-shadow:7px 7px 12px -9px #777; 94 | -moz-box-shadow:7px 7px 12px -9px #777; 95 | box-shadow:7px 7px 12px -9px #777; 96 | opacity:.9 97 | } 98 | .c3-tooltip tr{ 99 | border:1px solid #CCC 100 | } 101 | .c3-tooltip th{ 102 | background-color:#aaa; 103 | font-size:14px; 104 | padding:2px 5px; 105 | text-align:left; 106 | color:#FFF 107 | } 108 | .c3-tooltip td{ 109 | font-size:13px; 110 | padding:3px 6px; 111 | background-color:#fff; 112 | border-left:1px dotted #999 113 | } 114 | .c3-tooltip td>span{ 115 | display:inline-block; 116 | width:10px; 117 | height:10px; 118 | margin-right:6px 119 | } 120 | .c3-tooltip td.value{ 121 | text-align:right 122 | } 123 | .c3-area{ 124 | stroke-width:0; 125 | opacity:.2 126 | } 127 | .c3-chart-arcs-title{ 128 | dominant-baseline:middle; 129 | font-size:1.3em 130 | } 131 | .c3-chart-arcs .c3-chart-arcs-background{ 132 | fill:#e0e0e0; 133 | stroke:none 134 | } 135 | .c3-chart-arcs .c3-chart-arcs-gauge-unit{ 136 | fill:#000; 137 | font-size:16px 138 | } 139 | .c3-chart-arcs .c3-chart-arcs-gauge-max,.c3-chart-arcs .c3-chart-arcs-gauge-min{ 140 | fill:#777 141 | } 142 | .c3-chart-arc .c3-gauge-value{ 143 | fill:#000 144 | } 145 | -------------------------------------------------------------------------------- /ipypivot/_wrapper.py: -------------------------------------------------------------------------------- 1 | 2 | from IPython.display import HTML, display 3 | 4 | from ._config import NAME, TYPE, DEFAULT, DESCRIPTION 5 | from ._state import State 6 | 7 | 8 | class Wrapper(object): 9 | 10 | def __init__(self, 11 | state, 12 | path=''): 13 | self.path = path 14 | self.state = state 15 | 16 | def __getattr__(self, item): 17 | _path = item if not self.path else self.path + '.' + item 18 | for attr in self.state._OPTION: 19 | if _path == attr.get(NAME): 20 | var = Wrapper(_path) 21 | if len(dir(var)): 22 | setattr(self, item, var) 23 | # setattr(self, item, var if len(dir(var)) else '') 24 | return var 25 | 26 | def __dir__(self): 27 | _dir = [] 28 | _path = self.path.split('.') 29 | if len(_path) == 1 and self.path is '': 30 | for attr in self.state._OPTION: 31 | if len(attr.get(NAME).split('.')) == 1: 32 | _dir.append(attr.get(NAME)) 33 | else: 34 | for attr in self.state._OPTION: 35 | _attr_path = attr.get(NAME).split('.') 36 | if len(_path) < len(_attr_path): 37 | if _path[len(_path) - 1] == _attr_path[len(_path) - 1] \ 38 | and len(_attr_path) == len(_path) + 1: 39 | _dir.append(_attr_path[len(_path)]) 40 | return _dir 41 | 42 | def to_dict(self): 43 | _dic = dict(self.__dict__) 44 | _dic.pop('path') 45 | _dic.pop('_pivot') 46 | 47 | for k in list(_dic.keys()): 48 | if isinstance(_dic[k], list): 49 | for i, e in enumerate(_dic[k]): 50 | if isinstance(e, Wrapper): 51 | _dic[k][i] = _dic[k][i].to_dict() 52 | elif isinstance(e, dict): 53 | pass 54 | elif _dic[k][i] == {} or _dic[k][i] == None or isinstance(_dic[k][i], State): 55 | _dic[k].pop(i) 56 | else: 57 | if isinstance(_dic[k], Wrapper): 58 | _dic[k] = _dic[k].to_dict() 59 | elif isinstance(_dic[k], dict): 60 | pass 61 | elif _dic[k] == {} or _dic[k] == None or isinstance(_dic[k], State): 62 | _dic.pop(k) 63 | 64 | return _dic 65 | 66 | @property 67 | def __doc__(self): 68 | for attr in self.state._OPTION: 69 | if self.path == attr.get(NAME): 70 | _type = attr.get(TYPE) 71 | _default = attr.get(DEFAULT) 72 | _desc = attr.get(DESCRIPTION) 73 | break 74 | 75 | doc = "Documentation for '%s'\n\n" % self.path + \ 76 | "Type\n%s\n\n" % _type + \ 77 | "Default\n%s\n\n" % _default + \ 78 | "Description\n%s\n\n" % _desc 79 | 80 | return doc 81 | 82 | def info(self): 83 | if self.path != '': 84 | for attr in self.state._OPTION: 85 | if self.path == attr.get(NAME): 86 | _type = attr.get(TYPE) 87 | _default = attr.get(DEFAULT) 88 | _desc = attr.get(DESCRIPTION) 89 | break 90 | 91 | doc = "

Documentation for '%s'


" % self.path + \ 92 | "
  • Type
    • %s

    " % _type + \ 93 | "
  • Default
    • %s

    " % _default + \ 94 | "
  • Description
    • %s

    " % _desc 95 | 96 | display(HTML(doc)) 97 | 98 | -------------------------------------------------------------------------------- /ipypivot/api/pivotui.tsv: -------------------------------------------------------------------------------- 1 | Key Type Default value Description 2 | rows array of strings [] attribute names to prepopulate in row area 3 | cols array of strings [] attribute names to prepopulate in cols area 4 | vals array of strings [] attribute names to prepopulate in vals area (gets passed to aggregator generating function) 5 | aggregators object of functions $.pivotUtilities.aggregators dictionary of generators for aggregation functions in dropdown (see documentation) 6 | aggregatorName string first key in aggregators aggregator to prepopulate in dropdown i.e. key to aggregators object 7 | renderers object of functions $.pivotUtilities.renderers dictionary of rendering functions (see documentation) 8 | rendererName string first key in renderers renderer to prepopulate in dropdown, i.e key to renderers object 9 | rowOrder string "key_a_to_z" the order in which row data is provided to the renderer, must be one of "key_a_to_z", "value_a_to_z", "value_z_to_a", ordering by value orders by row total 10 | colOrder string "key_a_to_z" the order in which column data is provided to the renderer, must be one of "key_a_to_z", "value_a_to_z", "value_z_to_a", ordering by value orders by column total 11 | derivedAttributes object of functions {} defines derived attributes (see documentation) 12 | dataClass function $.pivotUtilities.PivotData Constructor for the data class to be built and passed to the Renderer (should be a subclass of the default) 13 | filter function function(){return true;} called on each record, returns false if the record is to be excluded from the input before rendering or true otherwise 14 | inclusions object of arrays of strings {} object whose keys are attribute names and values are arrays of attribute values which denote records to include in rendering; used to prepopulate the filter menus that appear on double-click (overrides exclusions below) 15 | exclusions object of arrays of strings {} object whose keys are attribute names and values are arrays of attribute values which denote records to exclude from rendering; used to prepopulate the filter menus that appear on double-click 16 | hiddenAttributes array of strings [] contains attribute names to omit from the UI 17 | hiddenFromAggregators array of strings [] contains attribute names to omit from the aggregator arguments dropdowns 18 | hiddenFromDragDrop array of strings [] contains attribute names to omit from the drag'n'drop portion of the UI 19 | sorters object or function {} accessed or called with an attribute name and can return a function which can be used as an argument to array.sort for output purposes. If no function is returned, the default sorting mechanism is a built-in "natural sort" implementation. Useful for sorting attributes like month names, see example 1 and example 2. 20 | onRefresh function function(){} called upon renderer refresh with an object representing the current UI settings (see example) 21 | menuLimit integer 50 maximum number of values to list in the double-click menu 22 | autoSortUnusedAttrs boolean false controls whether or not unused attributes are kept sorted in the UI 23 | unusedAttrsVertical boolean or integer 85 controls whether or not unused attributes are shown vertically instead of the default which is horizontally. true means always vertical, false means always horizontal. If set to a number (as is the default) then if the attributes' names' combined length in characters exceeds the number then the attributes will be shown vertically 24 | rendererOptions object {} passed through to renderer as options 25 | localeStrings object en strings locale-specific strings for UI display (see locale parameter below) 26 | -------------------------------------------------------------------------------- /ipypivot/data/iris.csv: -------------------------------------------------------------------------------- 1 | Sepal.Length,Sepal.Width,Petal.Length,Petal.Width,Species 2 | 5.1,3.5,1.4,0.2,setosa 3 | 4.9,3.0,1.4,0.2,setosa 4 | 4.7,3.2,1.3,0.2,setosa 5 | 4.6,3.1,1.5,0.2,setosa 6 | 5.0,3.6,1.4,0.2,setosa 7 | 5.4,3.9,1.7,0.4,setosa 8 | 4.6,3.4,1.4,0.3,setosa 9 | 5.0,3.4,1.5,0.2,setosa 10 | 4.4,2.9,1.4,0.2,setosa 11 | 4.9,3.1,1.5,0.1,setosa 12 | 5.4,3.7,1.5,0.2,setosa 13 | 4.8,3.4,1.6,0.2,setosa 14 | 4.8,3.0,1.4,0.1,setosa 15 | 4.3,3.0,1.1,0.1,setosa 16 | 5.8,4.0,1.2,0.2,setosa 17 | 5.7,4.4,1.5,0.4,setosa 18 | 5.4,3.9,1.3,0.4,setosa 19 | 5.1,3.5,1.4,0.3,setosa 20 | 5.7,3.8,1.7,0.3,setosa 21 | 5.1,3.8,1.5,0.3,setosa 22 | 5.4,3.4,1.7,0.2,setosa 23 | 5.1,3.7,1.5,0.4,setosa 24 | 4.6,3.6,1.0,0.2,setosa 25 | 5.1,3.3,1.7,0.5,setosa 26 | 4.8,3.4,1.9,0.2,setosa 27 | 5.0,3.0,1.6,0.2,setosa 28 | 5.0,3.4,1.6,0.4,setosa 29 | 5.2,3.5,1.5,0.2,setosa 30 | 5.2,3.4,1.4,0.2,setosa 31 | 4.7,3.2,1.6,0.2,setosa 32 | 4.8,3.1,1.6,0.2,setosa 33 | 5.4,3.4,1.5,0.4,setosa 34 | 5.2,4.1,1.5,0.1,setosa 35 | 5.5,4.2,1.4,0.2,setosa 36 | 4.9,3.1,1.5,0.2,setosa 37 | 5.0,3.2,1.2,0.2,setosa 38 | 5.5,3.5,1.3,0.2,setosa 39 | 4.9,3.6,1.4,0.1,setosa 40 | 4.4,3.0,1.3,0.2,setosa 41 | 5.1,3.4,1.5,0.2,setosa 42 | 5.0,3.5,1.3,0.3,setosa 43 | 4.5,2.3,1.3,0.3,setosa 44 | 4.4,3.2,1.3,0.2,setosa 45 | 5.0,3.5,1.6,0.6,setosa 46 | 5.1,3.8,1.9,0.4,setosa 47 | 4.8,3.0,1.4,0.3,setosa 48 | 5.1,3.8,1.6,0.2,setosa 49 | 4.6,3.2,1.4,0.2,setosa 50 | 5.3,3.7,1.5,0.2,setosa 51 | 5.0,3.3,1.4,0.2,setosa 52 | 7.0,3.2,4.7,1.4,versicolor 53 | 6.4,3.2,4.5,1.5,versicolor 54 | 6.9,3.1,4.9,1.5,versicolor 55 | 5.5,2.3,4.0,1.3,versicolor 56 | 6.5,2.8,4.6,1.5,versicolor 57 | 5.7,2.8,4.5,1.3,versicolor 58 | 6.3,3.3,4.7,1.6,versicolor 59 | 4.9,2.4,3.3,1.0,versicolor 60 | 6.6,2.9,4.6,1.3,versicolor 61 | 5.2,2.7,3.9,1.4,versicolor 62 | 5.0,2.0,3.5,1.0,versicolor 63 | 5.9,3.0,4.2,1.5,versicolor 64 | 6.0,2.2,4.0,1.0,versicolor 65 | 6.1,2.9,4.7,1.4,versicolor 66 | 5.6,2.9,3.6,1.3,versicolor 67 | 6.7,3.1,4.4,1.4,versicolor 68 | 5.6,3.0,4.5,1.5,versicolor 69 | 5.8,2.7,4.1,1.0,versicolor 70 | 6.2,2.2,4.5,1.5,versicolor 71 | 5.6,2.5,3.9,1.1,versicolor 72 | 5.9,3.2,4.8,1.8,versicolor 73 | 6.1,2.8,4.0,1.3,versicolor 74 | 6.3,2.5,4.9,1.5,versicolor 75 | 6.1,2.8,4.7,1.2,versicolor 76 | 6.4,2.9,4.3,1.3,versicolor 77 | 6.6,3.0,4.4,1.4,versicolor 78 | 6.8,2.8,4.8,1.4,versicolor 79 | 6.7,3.0,5.0,1.7,versicolor 80 | 6.0,2.9,4.5,1.5,versicolor 81 | 5.7,2.6,3.5,1.0,versicolor 82 | 5.5,2.4,3.8,1.1,versicolor 83 | 5.5,2.4,3.7,1.0,versicolor 84 | 5.8,2.7,3.9,1.2,versicolor 85 | 6.0,2.7,5.1,1.6,versicolor 86 | 5.4,3.0,4.5,1.5,versicolor 87 | 6.0,3.4,4.5,1.6,versicolor 88 | 6.7,3.1,4.7,1.5,versicolor 89 | 6.3,2.3,4.4,1.3,versicolor 90 | 5.6,3.0,4.1,1.3,versicolor 91 | 5.5,2.5,4.0,1.3,versicolor 92 | 5.5,2.6,4.4,1.2,versicolor 93 | 6.1,3.0,4.6,1.4,versicolor 94 | 5.8,2.6,4.0,1.2,versicolor 95 | 5.0,2.3,3.3,1.0,versicolor 96 | 5.6,2.7,4.2,1.3,versicolor 97 | 5.7,3.0,4.2,1.2,versicolor 98 | 5.7,2.9,4.2,1.3,versicolor 99 | 6.2,2.9,4.3,1.3,versicolor 100 | 5.1,2.5,3.0,1.1,versicolor 101 | 5.7,2.8,4.1,1.3,versicolor 102 | 6.3,3.3,6.0,2.5,virginica 103 | 5.8,2.7,5.1,1.9,virginica 104 | 7.1,3.0,5.9,2.1,virginica 105 | 6.3,2.9,5.6,1.8,virginica 106 | 6.5,3.0,5.8,2.2,virginica 107 | 7.6,3.0,6.6,2.1,virginica 108 | 4.9,2.5,4.5,1.7,virginica 109 | 7.3,2.9,6.3,1.8,virginica 110 | 6.7,2.5,5.8,1.8,virginica 111 | 7.2,3.6,6.1,2.5,virginica 112 | 6.5,3.2,5.1,2.0,virginica 113 | 6.4,2.7,5.3,1.9,virginica 114 | 6.8,3.0,5.5,2.1,virginica 115 | 5.7,2.5,5.0,2.0,virginica 116 | 5.8,2.8,5.1,2.4,virginica 117 | 6.4,3.2,5.3,2.3,virginica 118 | 6.5,3.0,5.5,1.8,virginica 119 | 7.7,3.8,6.7,2.2,virginica 120 | 7.7,2.6,6.9,2.3,virginica 121 | 6.0,2.2,5.0,1.5,virginica 122 | 6.9,3.2,5.7,2.3,virginica 123 | 5.6,2.8,4.9,2.0,virginica 124 | 7.7,2.8,6.7,2.0,virginica 125 | 6.3,2.7,4.9,1.8,virginica 126 | 6.7,3.3,5.7,2.1,virginica 127 | 7.2,3.2,6.0,1.8,virginica 128 | 6.2,2.8,4.8,1.8,virginica 129 | 6.1,3.0,4.9,1.8,virginica 130 | 6.4,2.8,5.6,2.1,virginica 131 | 7.2,3.0,5.8,1.6,virginica 132 | 7.4,2.8,6.1,1.9,virginica 133 | 7.9,3.8,6.4,2.0,virginica 134 | 6.4,2.8,5.6,2.2,virginica 135 | 6.3,2.8,5.1,1.5,virginica 136 | 6.1,2.6,5.6,1.4,virginica 137 | 7.7,3.0,6.1,2.3,virginica 138 | 6.3,3.4,5.6,2.4,virginica 139 | 6.4,3.1,5.5,1.8,virginica 140 | 6.0,3.0,4.8,1.8,virginica 141 | 6.9,3.1,5.4,2.1,virginica 142 | 6.7,3.1,5.6,2.4,virginica 143 | 6.9,3.1,5.1,2.3,virginica 144 | 5.8,2.7,5.1,1.9,virginica 145 | 6.8,3.2,5.9,2.3,virginica 146 | 6.7,3.3,5.7,2.5,virginica 147 | 6.7,3.0,5.2,2.3,virginica 148 | 6.3,2.5,5.0,1.9,virginica 149 | 6.5,3.0,5.2,2.0,virginica 150 | 6.2,3.4,5.4,2.3,virginica 151 | 5.9,3.0,5.1,1.8,virginica 152 | -------------------------------------------------------------------------------- /ipypivot/api/pivotui.json: -------------------------------------------------------------------------------- 1 | [{"Key ":"rows ","Type ":"array of strings ","Default value ":"[] ","Description":"attribute names to prepopulate in row area"},{"Key ":"cols ","Type ":"array of strings ","Default value ":"[] ","Description":"attribute names to prepopulate in cols area"},{"Key ":"vals ","Type ":"array of strings ","Default value ":"[] ","Description":"attribute names to prepopulate in vals area (gets passed to aggregator generating function)"},{"Key ":"aggregators ","Type ":"object of functions ","Default value ":"$.pivotUtilities.aggregators ","Description":"dictionary of generators for aggregation functions in dropdown (see documentation)"},{"Key ":"aggregatorName ","Type ":"string ","Default value ":"first key in aggregators ","Description":"aggregator to prepopulate in dropdown i.e. key to aggregators object"},{"Key ":"renderers ","Type ":"object of functions ","Default value ":"$.pivotUtilities.renderers ","Description":"dictionary of rendering functions (see documentation)"},{"Key ":"rendererName ","Type ":"string ","Default value ":"first key in renderers ","Description":"renderer to prepopulate in dropdown, i.e key to renderers object"},{"Key ":"rowOrder ","Type ":"string ","Default value ":"key_a_to_z ","Description":"the order in which row data is provided to the renderer, must be one of \"key_a_to_z\", \"value_a_to_z\", \"value_z_to_a\", ordering by value orders by row total"},{"Key ":"colOrder ","Type ":"string ","Default value ":"key_a_to_z ","Description":"the order in which column data is provided to the renderer, must be one of \"key_a_to_z\", \"value_a_to_z\", \"value_z_to_a\", ordering by value orders by column total"},{"Key ":"derivedAttributes ","Type ":"object of functions ","Default value ":"{} ","Description":"defines derived attributes (see documentation)"},{"Key ":"dataClass ","Type ":"function ","Default value ":"$.pivotUtilities.PivotData ","Description":"Constructor for the data class to be built and passed to the Renderer (should be a subclass of the default)"},{"Key ":"filter ","Type ":"function ","Default value ":"function(){return true;} ","Description":"called on each record, returns false if the record is to be excluded from the input before rendering or true otherwise"},{"Key ":"inclusions ","Type ":"object of arrays of strings ","Default value ":"{} ","Description":"object whose keys are attribute names and values are arrays of attribute values which denote records to include in rendering; used to prepopulate the filter menus that appear on double-click (overrides exclusions below)"},{"Key ":"exclusions ","Type ":"object of arrays of strings ","Default value ":"{} ","Description":"object whose keys are attribute names and values are arrays of attribute values which denote records to exclude from rendering; used to prepopulate the filter menus that appear on double-click"},{"Key ":"hiddenAttributes ","Type ":"array of strings ","Default value ":"[] ","Description":"contains attribute names to omit from the UI"},{"Key ":"hiddenFromAggregators ","Type ":"array of strings ","Default value ":"[] ","Description":"contains attribute names to omit from the aggregator arguments dropdowns"},{"Key ":"hiddenFromDragDrop ","Type ":"array of strings ","Default value ":"[] ","Description":"contains attribute names to omit from the drag'n'drop portion of the UI"},{"Key ":"sorters ","Type ":"object or function ","Default value ":"{} ","Description":"accessed or called with an attribute name and can return a function which can be used as an argument to array.sort for output purposes. If no function is returned, the default sorting mechanism is a built-in \"natural sort\" implementation. Useful for sorting attributes like month names, see example 1 and example 2."},{"Key ":"onRefresh ","Type ":"function ","Default value ":"function(){} ","Description":"called upon renderer refresh with an object representing the current UI settings (see example)"},{"Key ":"menuLimit ","Type ":"integer ","Default value ":"50 ","Description":"maximum number of values to list in the double-click menu"},{"Key ":"autoSortUnusedAttrs ","Type ":"boolean ","Default value ":"false ","Description":"controls whether or not unused attributes are kept sorted in the UI"},{"Key ":"unusedAttrsVertical ","Type ":"boolean or integer ","Default value ":"85 ","Description":"controls whether or not unused attributes are shown vertically instead of the default which is horizontally. true means always vertical, false means always horizontal. If set to a number (as is the default) then if the attributes' names' combined length in characters exceeds the number then the attributes will be shown vertically"},{"Key ":"rendererOptions ","Type ":"object ","Default value ":"{} ","Description":"passed through to renderer as options"},{"Key ":"localeStrings ","Type ":"object ","Default value ":"en strings ","Description":"locale-specific strings for UI display (see locale parameter below)"}] -------------------------------------------------------------------------------- /js/lib/pivot-table.js: -------------------------------------------------------------------------------- 1 | 2 | 'use script'; 3 | 4 | var $ = require('jquery'); 5 | require('jquery-ui-bundle'); 6 | require('pivottable'); 7 | require('pivottable/dist/export_renderers.min.js'); 8 | require('pivottable/dist/c3_renderers.min.js'); 9 | require('pivottable/dist/d3_renderers.min.js'); 10 | 11 | require('./pivot-table.css'); 12 | require('./style.css'); 13 | require('./c3.css'); 14 | 15 | var util = require('./util'); 16 | 17 | 18 | var createPivot = function (that) { 19 | console.log('ipypivot start createPivot'); 20 | 21 | // create elmt 22 | var divElmt = document.createElement('div'); 23 | divElmt.setAttribute('width', '100%'); 24 | 25 | // append elmt to dom 26 | that.el.appendChild(divElmt); 27 | 28 | // set class 29 | that.el.setAttribute('class', 'jupyter-widget pivot-table'); 30 | 31 | // attach to view 32 | that.tableElmt = divElmt; 33 | 34 | // set mode='pivot' to indicate origin 35 | this.call_pivottablejs(that, 'pivot', 'create'); 36 | 37 | console.log('end createPivot'); 38 | }; 39 | 40 | var createPivotUI = function (that) { 41 | console.log('ipypivot start createPivotUI'); 42 | 43 | // create elmt 44 | var divElmt = document.createElement('div'); 45 | divElmt.setAttribute('width', '100%'); 46 | 47 | // append elmt to dom 48 | that.el.appendChild(divElmt); 49 | 50 | // set class 51 | that.el.setAttribute('class', 'jupyter-widget pivotui-table'); 52 | 53 | // attach to view 54 | that.tableElmt = divElmt; 55 | 56 | // set mode='pivotui' to indicate origin 57 | this.call_pivottablejs(that, 'pivotui', 'create'); 58 | 59 | // add delay - else random failures - unknown race condition... 60 | var here = this; 61 | setTimeout(function () { 62 | here.save_to_model(that); 63 | }, 10); 64 | 65 | console.log('end createPivotUI'); 66 | }; 67 | 68 | 69 | var call_pivottablejs = function (that, mode) { 70 | // mode = 'pivot' - call from createPivot 71 | // mode = 'pivotui' - call from createPivotUI 72 | 73 | console.log('ipypivot PivotUIModel start call_pivottablejs'); 74 | 75 | // get data from model 76 | let data = that.model.get('_data'); 77 | 78 | // get options 79 | let options = that.model.get('_options'); 80 | options = util.JSONPivotTable.parse(JSON.stringify(options)); 81 | 82 | // copy dic 83 | let options_new = $.extend({}, options); 84 | 85 | // if no renderer present add them 86 | if (!options_new['renderers']) { 87 | console.log('add renderers'); 88 | var renderers = $.extend({}, 89 | $.pivotUtilities.renderers, 90 | $.pivotUtilities.c3_renderers, 91 | $.pivotUtilities.d3_renderers 92 | ); 93 | // renderers = $.extend(renderers, $.pivotUtilities.export_renderers); 94 | options_new['renderers'] = renderers; 95 | } 96 | // console.log(options_new); 97 | 98 | // actual pivottable.js call 99 | if (mode == 'pivot') { 100 | console.log('call pivot'); 101 | $(that.tableElmt).pivot(data, options_new); 102 | } 103 | if (mode == 'pivotui') { 104 | console.log('call pivotui'); 105 | $(that.tableElmt).pivotUI(data, options_new, true); 106 | } 107 | 108 | console.log('end call_pivottablejs'); 109 | 110 | // debug 111 | window.that = that; 112 | window.$ = $; 113 | window.data = data; 114 | 115 | }; 116 | 117 | var save_to_model = function (that) { 118 | 119 | console.log('ipypivot start save_to_model'); 120 | 121 | // get data from model 122 | let data = that.model.get('_data'); 123 | 124 | // deepcopy current pivotUI options 125 | let optionsExport = $.extend({}, $(that.tableElmt).data('pivotUIOptions')); 126 | // console.log(optionsExport); 127 | 128 | // add only TSV export renderer 129 | optionsExport['renderers'] = $.pivotUtilities.export_renderers; 130 | optionsExport['rendererName'] = 'TSV Export'; 131 | 132 | // create new elemt - which is never added to the dom 133 | var tempDivElmt = document.createElement('div'); 134 | 135 | // actual pivottable.js call - as a promise to trigger post processing 136 | var createTsvTable = Promise.resolve($(tempDivElmt).pivotUI(data, optionsExport).promise()); 137 | 138 | // action promise 139 | createTsvTable.then(function () { 140 | // post processing 141 | console.log('start save_to_model callback'); 142 | 143 | // DESPITE PROMISE (!) add delay - else random failures - unknown race condition... 144 | setTimeout(function () { 145 | 146 | // extract tsv string 147 | // let data_tsv = tempDivElmt.children[0].children[2].children[1].children[0].innerHTML; 148 | let data_tsv = $(tempDivElmt).find('.pvtRendererArea')[0].children[0].innerHTML; 149 | 150 | // console.log('data_tsv'); 151 | // console.log(data_tsv); 152 | 153 | // actual pivottable.js call to collect current options 154 | let options = $(that.tableElmt).data('pivotUIOptions'); 155 | // console.log(options); 156 | 157 | // merge current options with old options in order to replace true functions by their strings 158 | delete options['aggregators']; 159 | delete options['renderers']; 160 | delete options['sorters']; 161 | delete options['derivedAttributes']; 162 | delete options['rendererOptions']; 163 | 164 | let old_options = that.model.get('_options'); 165 | options = $.extend({}, old_options, options); 166 | // console.log(options); 167 | 168 | console.log('update model'); 169 | that.model.set({ 170 | '_data_tsv': data_tsv, 171 | '_options': options 172 | }); 173 | 174 | // that.model.save_changes(); 175 | that.touch(); 176 | 177 | console.log('end save_to_model callback'); 178 | 179 | // debug 180 | window.data_tsv = data_tsv; 181 | 182 | }, 100); 183 | 184 | }); 185 | 186 | console.log('end save_to_model'); 187 | 188 | // debug 189 | window.tempDivElmt = tempDivElmt; 190 | window.createTsvTable = createTsvTable; 191 | 192 | }; 193 | 194 | 195 | var pivot_table = { 196 | createPivot: createPivot, 197 | createPivotUI: createPivotUI, 198 | call_pivottablejs: call_pivottablejs, 199 | save_to_model: save_to_model, 200 | }; 201 | 202 | module.exports = pivot_table; 203 | 204 | -------------------------------------------------------------------------------- /ipypivot/data/create_tips_csv.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 2, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "import numpy as np\n", 10 | "import pandas as pd" 11 | ] 12 | }, 13 | { 14 | "cell_type": "code", 15 | "execution_count": 3, 16 | "metadata": {}, 17 | "outputs": [ 18 | { 19 | "name": "stdout", 20 | "output_type": "stream", 21 | "text": [ 22 | "\n", 23 | "RangeIndex: 244 entries, 0 to 243\n", 24 | "Data columns (total 8 columns):\n", 25 | "row 244 non-null int64\n", 26 | "total_bill 244 non-null float64\n", 27 | "tip 244 non-null float64\n", 28 | "sex 244 non-null object\n", 29 | "smoker 244 non-null object\n", 30 | "day 244 non-null object\n", 31 | "time 244 non-null object\n", 32 | "size 244 non-null int64\n", 33 | "dtypes: float64(2), int64(2), object(4)\n", 34 | "memory usage: 15.3+ KB\n" 35 | ] 36 | } 37 | ], 38 | "source": [ 39 | "df = pd.read_json('tips.json')\n", 40 | "h = df.iloc[0].tolist()\n", 41 | "df = df[1:]\n", 42 | "df.columns = h\n", 43 | "df = df.reset_index(drop=True)\n", 44 | "df['row'] = df['row'].astype(np.int)\n", 45 | "df['total_bill'] = df['total_bill'].astype(np.float)\n", 46 | "df['tip'] = np.round(df['tip'].astype(np.float), 2)\n", 47 | "df['size'] = df['size'].astype(np.int)\n", 48 | "\n", 49 | "df.info()\n", 50 | "df.to_csv('tips.csv', index=None)" 51 | ] 52 | }, 53 | { 54 | "cell_type": "code", 55 | "execution_count": 4, 56 | "metadata": {}, 57 | "outputs": [ 58 | { 59 | "data": { 60 | "text/plain": [ 61 | "row 2\n", 62 | "total_bill 10.34\n", 63 | "tip 1.66\n", 64 | "sex Male\n", 65 | "smoker No\n", 66 | "day Sun\n", 67 | "time Dinner\n", 68 | "size 3\n", 69 | "Name: 1, dtype: object" 70 | ] 71 | }, 72 | "execution_count": 4, 73 | "metadata": {}, 74 | "output_type": "execute_result" 75 | } 76 | ], 77 | "source": [ 78 | "df.iloc[1]" 79 | ] 80 | }, 81 | { 82 | "cell_type": "code", 83 | "execution_count": 23, 84 | "metadata": {}, 85 | "outputs": [ 86 | { 87 | "name": "stdout", 88 | "output_type": "stream", 89 | "text": [ 90 | "\n", 91 | "RangeIndex: 244 entries, 0 to 243\n", 92 | "Data columns (total 8 columns):\n", 93 | "row 244 non-null int64\n", 94 | "total_bill 244 non-null float64\n", 95 | "tip 244 non-null float64\n", 96 | "sex 244 non-null object\n", 97 | "smoker 244 non-null object\n", 98 | "day 244 non-null object\n", 99 | "time 244 non-null object\n", 100 | "size 244 non-null int64\n", 101 | "dtypes: float64(2), int64(2), object(4)\n", 102 | "memory usage: 15.3+ KB\n" 103 | ] 104 | }, 105 | { 106 | "data": { 107 | "text/html": [ 108 | "
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    rowtotal_billtipsexsmokerdaytimesize
    0116.991.01FemaleNoSunDinner2
    1210.341.66MaleNoSunDinner3
    2321.013.50MaleNoSunDinner3
    3423.683.31MaleNoSunDinner2
    4524.593.61FemaleNoSunDinner4
    \n", 194 | "
    " 195 | ], 196 | "text/plain": [ 197 | " row total_bill tip sex smoker day time size\n", 198 | "0 1 16.99 1.01 Female No Sun Dinner 2\n", 199 | "1 2 10.34 1.66 Male No Sun Dinner 3\n", 200 | "2 3 21.01 3.50 Male No Sun Dinner 3\n", 201 | "3 4 23.68 3.31 Male No Sun Dinner 2\n", 202 | "4 5 24.59 3.61 Female No Sun Dinner 4" 203 | ] 204 | }, 205 | "execution_count": 23, 206 | "metadata": {}, 207 | "output_type": "execute_result" 208 | } 209 | ], 210 | "source": [ 211 | "df2 = pd.read_csv('tips.csv')\n", 212 | "df2.info()\n", 213 | "df2.head()" 214 | ] 215 | }, 216 | { 217 | "cell_type": "code", 218 | "execution_count": 22, 219 | "metadata": {}, 220 | "outputs": [ 221 | { 222 | "data": { 223 | "text/plain": [ 224 | "[['row', 'total_bill', 'tip', 'sex', 'smoker', 'day', 'time', 'size'],\n", 225 | " [1, 16.99, 1.01, 'Female', 'No', 'Sun', 'Dinner', 2],\n", 226 | " [2, 10.34, 1.66, 'Male', 'No', 'Sun', 'Dinner', 3],\n", 227 | " [3, 21.01, 3.5, 'Male', 'No', 'Sun', 'Dinner', 3]]" 228 | ] 229 | }, 230 | "execution_count": 22, 231 | "metadata": {}, 232 | "output_type": "execute_result" 233 | } 234 | ], 235 | "source": [ 236 | "dft = df2[:3]\n", 237 | "\n", 238 | "arr = dft.values.tolist()\n", 239 | "arr.insert(0, list(dft.columns))\n", 240 | "arr\n" 241 | ] 242 | }, 243 | { 244 | "cell_type": "code", 245 | "execution_count": null, 246 | "metadata": {}, 247 | "outputs": [], 248 | "source": [] 249 | } 250 | ], 251 | "metadata": { 252 | "kernelspec": { 253 | "display_name": "Python 3", 254 | "language": "python", 255 | "name": "python3" 256 | }, 257 | "language_info": { 258 | "codemirror_mode": { 259 | "name": "ipython", 260 | "version": 3 261 | }, 262 | "file_extension": ".py", 263 | "mimetype": "text/x-python", 264 | "name": "python", 265 | "nbconvert_exporter": "python", 266 | "pygments_lexer": "ipython3", 267 | "version": "3.6.1" 268 | } 269 | }, 270 | "nbformat": 4, 271 | "nbformat_minor": 2 272 | } 273 | -------------------------------------------------------------------------------- /ipypivot/data/tips.csv: -------------------------------------------------------------------------------- 1 | row,total_bill,tip,sex,smoker,day,time,size 2 | 1,16.99,1.01,Female,No,Sun,Dinner,2 3 | 2,10.34,1.66,Male,No,Sun,Dinner,3 4 | 3,21.01,3.5,Male,No,Sun,Dinner,3 5 | 4,23.68,3.31,Male,No,Sun,Dinner,2 6 | 5,24.59,3.61,Female,No,Sun,Dinner,4 7 | 6,25.29,4.71,Male,No,Sun,Dinner,4 8 | 7,8.77,2.0,Male,No,Sun,Dinner,2 9 | 8,26.88,3.12,Male,No,Sun,Dinner,4 10 | 9,15.04,1.96,Male,No,Sun,Dinner,2 11 | 10,14.78,3.23,Male,No,Sun,Dinner,2 12 | 11,10.27,1.71,Male,No,Sun,Dinner,2 13 | 12,35.26,5.0,Female,No,Sun,Dinner,4 14 | 13,15.42,1.57,Male,No,Sun,Dinner,2 15 | 14,18.43,3.0,Male,No,Sun,Dinner,4 16 | 15,14.83,3.02,Female,No,Sun,Dinner,2 17 | 16,21.58,3.92,Male,No,Sun,Dinner,2 18 | 17,10.33,1.67,Female,No,Sun,Dinner,3 19 | 18,16.29,3.71,Male,No,Sun,Dinner,3 20 | 19,16.97,3.5,Female,No,Sun,Dinner,3 21 | 20,20.65,3.35,Male,No,Sat,Dinner,3 22 | 21,17.92,4.08,Male,No,Sat,Dinner,2 23 | 22,20.29,2.75,Female,No,Sat,Dinner,2 24 | 23,15.77,2.23,Female,No,Sat,Dinner,2 25 | 24,39.42,7.58,Male,No,Sat,Dinner,4 26 | 25,19.82,3.18,Male,No,Sat,Dinner,2 27 | 26,17.81,2.34,Male,No,Sat,Dinner,4 28 | 27,13.37,2.0,Male,No,Sat,Dinner,2 29 | 28,12.69,2.0,Male,No,Sat,Dinner,2 30 | 29,21.7,4.3,Male,No,Sat,Dinner,2 31 | 30,19.65,3.0,Female,No,Sat,Dinner,2 32 | 31,9.55,1.45,Male,No,Sat,Dinner,2 33 | 32,18.35,2.5,Male,No,Sat,Dinner,4 34 | 33,15.06,3.0,Female,No,Sat,Dinner,2 35 | 34,20.69,2.45,Female,No,Sat,Dinner,4 36 | 35,17.78,3.27,Male,No,Sat,Dinner,2 37 | 36,24.06,3.6,Male,No,Sat,Dinner,3 38 | 37,16.31,2.0,Male,No,Sat,Dinner,3 39 | 38,16.93,3.07,Female,No,Sat,Dinner,3 40 | 39,18.69,2.31,Male,No,Sat,Dinner,3 41 | 40,31.27,5.0,Male,No,Sat,Dinner,3 42 | 41,16.04,2.24,Male,No,Sat,Dinner,3 43 | 42,17.46,2.54,Male,No,Sun,Dinner,2 44 | 43,13.94,3.06,Male,No,Sun,Dinner,2 45 | 44,9.68,1.32,Male,No,Sun,Dinner,2 46 | 45,30.4,5.6,Male,No,Sun,Dinner,4 47 | 46,18.29,3.0,Male,No,Sun,Dinner,2 48 | 47,22.23,5.0,Male,No,Sun,Dinner,2 49 | 48,32.4,6.0,Male,No,Sun,Dinner,4 50 | 49,28.55,2.05,Male,No,Sun,Dinner,3 51 | 50,18.04,3.0,Male,No,Sun,Dinner,2 52 | 51,12.54,2.5,Male,No,Sun,Dinner,2 53 | 52,10.29,2.6,Female,No,Sun,Dinner,2 54 | 53,34.81,5.2,Female,No,Sun,Dinner,4 55 | 54,9.94,1.56,Male,No,Sun,Dinner,2 56 | 55,25.56,4.34,Male,No,Sun,Dinner,4 57 | 56,19.49,3.51,Male,No,Sun,Dinner,2 58 | 57,38.01,3.0,Male,Yes,Sat,Dinner,4 59 | 58,26.41,1.5,Female,No,Sat,Dinner,2 60 | 59,11.24,1.76,Male,Yes,Sat,Dinner,2 61 | 60,48.27,6.73,Male,No,Sat,Dinner,4 62 | 61,20.29,3.21,Male,Yes,Sat,Dinner,2 63 | 62,13.81,2.0,Male,Yes,Sat,Dinner,2 64 | 63,11.02,1.98,Male,Yes,Sat,Dinner,2 65 | 64,18.29,3.76,Male,Yes,Sat,Dinner,4 66 | 65,17.59,2.64,Male,No,Sat,Dinner,3 67 | 66,20.08,3.15,Male,No,Sat,Dinner,3 68 | 67,16.45,2.47,Female,No,Sat,Dinner,2 69 | 68,3.07,1.0,Female,Yes,Sat,Dinner,1 70 | 69,20.23,2.01,Male,No,Sat,Dinner,2 71 | 70,15.01,2.09,Male,Yes,Sat,Dinner,2 72 | 71,12.02,1.97,Male,No,Sat,Dinner,2 73 | 72,17.07,3.0,Female,No,Sat,Dinner,3 74 | 73,26.86,3.14,Female,Yes,Sat,Dinner,2 75 | 74,25.28,5.0,Female,Yes,Sat,Dinner,2 76 | 75,14.73,2.2,Female,No,Sat,Dinner,2 77 | 76,10.51,1.25,Male,No,Sat,Dinner,2 78 | 77,17.92,3.08,Male,Yes,Sat,Dinner,2 79 | 78,27.2,4.0,Male,No,Thur,Lunch,4 80 | 79,22.76,3.0,Male,No,Thur,Lunch,2 81 | 80,17.29,2.71,Male,No,Thur,Lunch,2 82 | 81,19.44,3.0,Male,Yes,Thur,Lunch,2 83 | 82,16.66,3.4,Male,No,Thur,Lunch,2 84 | 83,10.07,1.83,Female,No,Thur,Lunch,1 85 | 84,32.68,5.0,Male,Yes,Thur,Lunch,2 86 | 85,15.98,2.03,Male,No,Thur,Lunch,2 87 | 86,34.83,5.17,Female,No,Thur,Lunch,4 88 | 87,13.03,2.0,Male,No,Thur,Lunch,2 89 | 88,18.28,4.0,Male,No,Thur,Lunch,2 90 | 89,24.71,5.85,Male,No,Thur,Lunch,2 91 | 90,21.16,3.0,Male,No,Thur,Lunch,2 92 | 91,28.97,3.0,Male,Yes,Fri,Dinner,2 93 | 92,22.49,3.5,Male,No,Fri,Dinner,2 94 | 93,5.75,1.0,Female,Yes,Fri,Dinner,2 95 | 94,16.32,4.3,Female,Yes,Fri,Dinner,2 96 | 95,22.75,3.25,Female,No,Fri,Dinner,2 97 | 96,40.17,4.73,Male,Yes,Fri,Dinner,4 98 | 97,27.28,4.0,Male,Yes,Fri,Dinner,2 99 | 98,12.03,1.5,Male,Yes,Fri,Dinner,2 100 | 99,21.01,3.0,Male,Yes,Fri,Dinner,2 101 | 100,12.46,1.5,Male,No,Fri,Dinner,2 102 | 101,11.35,2.5,Female,Yes,Fri,Dinner,2 103 | 102,15.38,3.0,Female,Yes,Fri,Dinner,2 104 | 103,44.3,2.5,Female,Yes,Sat,Dinner,3 105 | 104,22.42,3.48,Female,Yes,Sat,Dinner,2 106 | 105,20.92,4.08,Female,No,Sat,Dinner,2 107 | 106,15.36,1.64,Male,Yes,Sat,Dinner,2 108 | 107,20.49,4.06,Male,Yes,Sat,Dinner,2 109 | 108,25.21,4.29,Male,Yes,Sat,Dinner,2 110 | 109,18.24,3.76,Male,No,Sat,Dinner,2 111 | 110,14.31,4.0,Female,Yes,Sat,Dinner,2 112 | 111,14.0,3.0,Male,No,Sat,Dinner,2 113 | 112,7.25,1.0,Female,No,Sat,Dinner,1 114 | 113,38.07,4.0,Male,No,Sun,Dinner,3 115 | 114,23.95,2.55,Male,No,Sun,Dinner,2 116 | 115,25.71,4.0,Female,No,Sun,Dinner,3 117 | 116,17.31,3.5,Female,No,Sun,Dinner,2 118 | 117,29.93,5.07,Male,No,Sun,Dinner,4 119 | 118,10.65,1.5,Female,No,Thur,Lunch,2 120 | 119,12.43,1.8,Female,No,Thur,Lunch,2 121 | 120,24.08,2.92,Female,No,Thur,Lunch,4 122 | 121,11.69,2.31,Male,No,Thur,Lunch,2 123 | 122,13.42,1.68,Female,No,Thur,Lunch,2 124 | 123,14.26,2.5,Male,No,Thur,Lunch,2 125 | 124,15.95,2.0,Male,No,Thur,Lunch,2 126 | 125,12.48,2.52,Female,No,Thur,Lunch,2 127 | 126,29.8,4.2,Female,No,Thur,Lunch,6 128 | 127,8.52,1.48,Male,No,Thur,Lunch,2 129 | 128,14.52,2.0,Female,No,Thur,Lunch,2 130 | 129,11.38,2.0,Female,No,Thur,Lunch,2 131 | 130,22.82,2.18,Male,No,Thur,Lunch,3 132 | 131,19.08,1.5,Male,No,Thur,Lunch,2 133 | 132,20.27,2.83,Female,No,Thur,Lunch,2 134 | 133,11.17,1.5,Female,No,Thur,Lunch,2 135 | 134,12.26,2.0,Female,No,Thur,Lunch,2 136 | 135,18.26,3.25,Female,No,Thur,Lunch,2 137 | 136,8.51,1.25,Female,No,Thur,Lunch,2 138 | 137,10.33,2.0,Female,No,Thur,Lunch,2 139 | 138,14.15,2.0,Female,No,Thur,Lunch,2 140 | 139,16.0,2.0,Male,Yes,Thur,Lunch,2 141 | 140,13.16,2.75,Female,No,Thur,Lunch,2 142 | 141,17.47,3.5,Female,No,Thur,Lunch,2 143 | 142,34.3,6.7,Male,No,Thur,Lunch,6 144 | 143,41.19,5.0,Male,No,Thur,Lunch,5 145 | 144,27.05,5.0,Female,No,Thur,Lunch,6 146 | 145,16.43,2.3,Female,No,Thur,Lunch,2 147 | 146,8.35,1.5,Female,No,Thur,Lunch,2 148 | 147,18.64,1.36,Female,No,Thur,Lunch,3 149 | 148,11.87,1.63,Female,No,Thur,Lunch,2 150 | 149,9.78,1.73,Male,No,Thur,Lunch,2 151 | 150,7.51,2.0,Male,No,Thur,Lunch,2 152 | 151,14.07,2.5,Male,No,Sun,Dinner,2 153 | 152,13.13,2.0,Male,No,Sun,Dinner,2 154 | 153,17.26,2.74,Male,No,Sun,Dinner,3 155 | 154,24.55,2.0,Male,No,Sun,Dinner,4 156 | 155,19.77,2.0,Male,No,Sun,Dinner,4 157 | 156,29.85,5.14,Female,No,Sun,Dinner,5 158 | 157,48.17,5.0,Male,No,Sun,Dinner,6 159 | 158,25.0,3.75,Female,No,Sun,Dinner,4 160 | 159,13.39,2.61,Female,No,Sun,Dinner,2 161 | 160,16.49,2.0,Male,No,Sun,Dinner,4 162 | 161,21.5,3.5,Male,No,Sun,Dinner,4 163 | 162,12.66,2.5,Male,No,Sun,Dinner,2 164 | 163,16.21,2.0,Female,No,Sun,Dinner,3 165 | 164,13.81,2.0,Male,No,Sun,Dinner,2 166 | 165,17.51,3.0,Female,Yes,Sun,Dinner,2 167 | 166,24.52,3.48,Male,No,Sun,Dinner,3 168 | 167,20.76,2.24,Male,No,Sun,Dinner,2 169 | 168,31.71,4.5,Male,No,Sun,Dinner,4 170 | 169,10.59,1.61,Female,Yes,Sat,Dinner,2 171 | 170,10.63,2.0,Female,Yes,Sat,Dinner,2 172 | 171,50.81,10.0,Male,Yes,Sat,Dinner,3 173 | 172,15.81,3.16,Male,Yes,Sat,Dinner,2 174 | 173,7.25,5.15,Male,Yes,Sun,Dinner,2 175 | 174,31.85,3.18,Male,Yes,Sun,Dinner,2 176 | 175,16.82,4.0,Male,Yes,Sun,Dinner,2 177 | 176,32.9,3.11,Male,Yes,Sun,Dinner,2 178 | 177,17.89,2.0,Male,Yes,Sun,Dinner,2 179 | 178,14.48,2.0,Male,Yes,Sun,Dinner,2 180 | 179,9.6,4.0,Female,Yes,Sun,Dinner,2 181 | 180,34.63,3.55,Male,Yes,Sun,Dinner,2 182 | 181,34.65,3.68,Male,Yes,Sun,Dinner,4 183 | 182,23.33,5.65,Male,Yes,Sun,Dinner,2 184 | 183,45.35,3.5,Male,Yes,Sun,Dinner,3 185 | 184,23.17,6.5,Male,Yes,Sun,Dinner,4 186 | 185,40.55,3.0,Male,Yes,Sun,Dinner,2 187 | 186,20.69,5.0,Male,No,Sun,Dinner,5 188 | 187,20.9,3.5,Female,Yes,Sun,Dinner,3 189 | 188,30.46,2.0,Male,Yes,Sun,Dinner,5 190 | 189,18.15,3.5,Female,Yes,Sun,Dinner,3 191 | 190,23.1,4.0,Male,Yes,Sun,Dinner,3 192 | 191,15.69,1.5,Male,Yes,Sun,Dinner,2 193 | 192,19.81,4.19,Female,Yes,Thur,Lunch,2 194 | 193,28.44,2.56,Male,Yes,Thur,Lunch,2 195 | 194,15.48,2.02,Male,Yes,Thur,Lunch,2 196 | 195,16.58,4.0,Male,Yes,Thur,Lunch,2 197 | 196,7.5600000000000005,1.44,Male,No,Thur,Lunch,2 198 | 197,10.34,2.0,Male,Yes,Thur,Lunch,2 199 | 198,43.11,5.0,Female,Yes,Thur,Lunch,4 200 | 199,13.0,2.0,Female,Yes,Thur,Lunch,2 201 | 200,13.51,2.0,Male,Yes,Thur,Lunch,2 202 | 201,18.71,4.0,Male,Yes,Thur,Lunch,3 203 | 202,12.74,2.01,Female,Yes,Thur,Lunch,2 204 | 203,13.0,2.0,Female,Yes,Thur,Lunch,2 205 | 204,16.4,2.5,Female,Yes,Thur,Lunch,2 206 | 205,20.53,4.0,Male,Yes,Thur,Lunch,4 207 | 206,16.47,3.23,Female,Yes,Thur,Lunch,3 208 | 207,26.59,3.41,Male,Yes,Sat,Dinner,3 209 | 208,38.73,3.0,Male,Yes,Sat,Dinner,4 210 | 209,24.27,2.03,Male,Yes,Sat,Dinner,2 211 | 210,12.76,2.23,Female,Yes,Sat,Dinner,2 212 | 211,30.06,2.0,Male,Yes,Sat,Dinner,3 213 | 212,25.89,5.16,Male,Yes,Sat,Dinner,4 214 | 213,48.33,9.0,Male,No,Sat,Dinner,4 215 | 214,13.27,2.5,Female,Yes,Sat,Dinner,2 216 | 215,28.17,6.5,Female,Yes,Sat,Dinner,3 217 | 216,12.9,1.1,Female,Yes,Sat,Dinner,2 218 | 217,28.15,3.0,Male,Yes,Sat,Dinner,5 219 | 218,11.59,1.5,Male,Yes,Sat,Dinner,2 220 | 219,7.74,1.44,Male,Yes,Sat,Dinner,2 221 | 220,30.14,3.09,Female,Yes,Sat,Dinner,4 222 | 221,12.16,2.2,Male,Yes,Fri,Lunch,2 223 | 222,13.42,3.48,Female,Yes,Fri,Lunch,2 224 | 223,8.58,1.92,Male,Yes,Fri,Lunch,1 225 | 224,15.98,3.0,Female,No,Fri,Lunch,3 226 | 225,13.42,1.58,Male,Yes,Fri,Lunch,2 227 | 226,16.27,2.5,Female,Yes,Fri,Lunch,2 228 | 227,10.09,2.0,Female,Yes,Fri,Lunch,2 229 | 228,20.45,3.0,Male,No,Sat,Dinner,4 230 | 229,13.28,2.72,Male,No,Sat,Dinner,2 231 | 230,22.12,2.88,Female,Yes,Sat,Dinner,2 232 | 231,24.01,2.0,Male,Yes,Sat,Dinner,4 233 | 232,15.69,3.0,Male,Yes,Sat,Dinner,3 234 | 233,11.61,3.39,Male,No,Sat,Dinner,2 235 | 234,10.77,1.47,Male,No,Sat,Dinner,2 236 | 235,15.53,3.0,Male,Yes,Sat,Dinner,2 237 | 236,10.07,1.25,Male,No,Sat,Dinner,2 238 | 237,12.6,1.0,Male,Yes,Sat,Dinner,2 239 | 238,32.83,1.17,Male,Yes,Sat,Dinner,2 240 | 239,35.83,4.67,Female,No,Sat,Dinner,3 241 | 240,29.03,5.92,Male,No,Sat,Dinner,3 242 | 241,27.18,2.0,Female,Yes,Sat,Dinner,2 243 | 242,22.67,2.0,Male,Yes,Sat,Dinner,2 244 | 243,17.82,1.75,Male,No,Sat,Dinner,2 245 | 244,18.78,3.0,Female,No,Thur,Dinner,2 246 | -------------------------------------------------------------------------------- /ipypivot/data/weather.csv: -------------------------------------------------------------------------------- 1 | Date,Max Temp (C),Min Temp (C),Mean Temp (C),Total Rain (mm),Total Snow (cm) 2 | 2014-01-01,-16.5,-24.6,-20.6,0,0 3 | 2014-01-02,-22.6,-27.3,-25,0,1.4 4 | 2014-01-03,-19.2,-24.3,-21.8,0,0 5 | 2014-01-04,-8.6,-23.3,-16,0,0 6 | 2014-01-05,0.3,-12.6,-6.2,12.2,1.8 7 | 2014-01-06,7.1,-11.1,-2,14.3,0.4 8 | 2014-01-07,-11.1,-16.6,-13.9,0,0.2 9 | 2014-01-08,-8.7,-14.7,-11.7,0,0 10 | 2014-01-09,-7.8,-12.3,-10.1,0,0 11 | 2014-01-10,-4.5,-14.2,-9.4,0,0 12 | 2014-01-11,7.3,-6.4,0.5,6.2,0 13 | 2014-01-12,4.5,0.3,2.4,0,0 14 | 2014-01-13,5.1,-0.9,2.1,0,0 15 | 2014-01-14,4.2,-1.3,1.5,5.4,0 16 | 2014-01-15,1.9,-4.1,-1.1,0.2,0 17 | 2014-01-16,-0.5,-5.1,-2.8,0,0 18 | 2014-01-17,0.6,-5.2,-2.3,0,0.6 19 | 2014-01-18,2.4,-7,-2.3,0,0.2 20 | 2014-01-19,-2.2,-6.4,-4.3,0,1.4 21 | 2014-01-20,-6.4,-20.7,-13.6,0,1.6 22 | 2014-01-21,-19.1,-23.8,-21.5,0,0 23 | 2014-01-22,-17.6,-25.4,-21.5,0,0 24 | 2014-01-23,-17.5,-23.2,-20.4,0,0 25 | 2014-01-24,-9.7,-23.8,-16.8,0,0 26 | 2014-01-25,-5.3,-15.5,-10.4,0,2 27 | 2014-01-26,-13.8,-21.5,-17.7,0,0.4 28 | 2014-01-27,-6.4,-17.9,-12.2,0,5.6 29 | 2014-01-28,-10.8,-19.9,-15.4,0,0 30 | 2014-01-29,-9.6,-14.2,-11.9,0,0 31 | 2014-01-30,-4.4,-12.7,-8.6,0,0 32 | 2014-01-31,1.3,-7.1,-2.9,0,0 33 | 2014-02-01,-1.3,-10.9,-6.1,0,12 34 | 2014-02-02,-1.1,-7.9,-4.5,0,4.6 35 | 2014-02-03,-6.9,-15.3,-11.1,0,0 36 | 2014-02-04,-6.1,-16.8,-11.5,0,0 37 | 2014-02-05,-7.9,-15.6,-11.8,0,5.4 38 | 2014-02-06,-9.3,-20,-14.7,0,0.4 39 | 2014-02-07,-7.6,-12.9,-10.3,0,0 40 | 2014-02-08,-5.7,-12.3,-9,0,0 41 | 2014-02-09,-7.1,-12.5,-9.8,0,1.4 42 | 2014-02-10,-6.8,-16.1,-11.5,0,0.4 43 | 2014-02-11,-11.1,-19.6,-15.4,0,0 44 | 2014-02-12,-9.8,-23.1,-16.5,0,0 45 | 2014-02-13,-6.1,-18.4,-12.3,0,2 46 | 2014-02-14,-2.2,-6.1,-4.2,0,12.4 47 | 2014-02-15,-5.6,-11.8,-8.7,0,0 48 | 2014-02-16,-9.5,-15.8,-12.7,0,0 49 | 2014-02-17,-9.9,-17.4,-13.7,0,0 50 | 2014-02-18,-3.4,-15.6,-9.5,0,2.4 51 | 2014-02-19,1.5,-5.4,-2,0,0 52 | 2014-02-20,2.8,-4.9,-1.1,0,0 53 | 2014-02-21,4.2,-0.6,1.8,19.2,0 54 | 2014-02-22,6.1,-1.8,2.2,0,0 55 | 2014-02-23,1.7,-4.3,-1.3,0,0 56 | 2014-02-24,-4.3,-10.6,-7.5,0,0.2 57 | 2014-02-25,-9,-12.9,-11,0,0 58 | 2014-02-26,-9.7,-14.8,-12.3,0,1.6 59 | 2014-02-27,-6.9,-14.8,-10.9,0,0.4 60 | 2014-02-28,-12.1,-18.2,-15.2,0,0 61 | 2014-03-01,-3.4,-14.2,-8.8,0,2 62 | 2014-03-02,-5.5,-16.6,-11.1,0,0.6 63 | 2014-03-03,-13,-18.1,-15.6,0,0 64 | 2014-03-04,-11,-18.5,-14.8,0,1.4 65 | 2014-03-05,-9,-17.6,-13.3,0,0 66 | 2014-03-06,-6.9,-19.4,-13.2,0,0 67 | 2014-03-07,0.2,-17.8,-8.8,0,0 68 | 2014-03-08,3.3,-6.2,-1.5,0,0.8 69 | 2014-03-09,-3.8,-12.6,-8.2,0,3 70 | 2014-03-10,0.7,-5.4,-2.4,0,4 71 | 2014-03-11,5.2,0.2,2.7,0,0 72 | 2014-03-12,1.7,-11.9,-5.1,0,16.6 73 | 2014-03-13,-6.7,-15.6,-11.2,0,2.4 74 | 2014-03-14,2.1,-16.7,-7.3,0,0 75 | 2014-03-15,4.6,-8.4,-1.9,0.2,0.2 76 | 2014-03-16,-8.4,-14.1,-11.3,0,0 77 | 2014-03-17,-6.8,-16.8,-11.8,0,0 78 | 2014-03-18,-2.1,-13.8,-8,0,0 79 | 2014-03-19,3.2,-9,-2.9,1.4,0.4 80 | 2014-03-20,2.9,-0.3,1.3,2.4,0.2 81 | 2014-03-21,2.5,-3,-0.3,0,0.2 82 | 2014-03-22,0.6,-3.8,-1.6,0,9.6 83 | 2014-03-23,0,-13.6,-6.8,0,0 84 | 2014-03-24,-4.7,-16.5,-10.6,0,0 85 | 2014-03-25,-0.6,-11.7,-6.2,0,0 86 | 2014-03-26,-2.4,-10.4,-6.4,0,0 87 | 2014-03-27,-1.6,-13.1,-7.4,0,0.2 88 | 2014-03-28,4.1,-2.7,0.7,9.2,4.2 89 | 2014-03-29,3.2,0.5,1.9,0,0 90 | 2014-03-30,0.5,-1.4,-0.5,0,15.2 91 | 2014-03-31,6.2,-1.8,2.2,0,0 92 | 2014-04-01,5,-3.5,0.8,0,0 93 | 2014-04-02,5,1.2,3.1,0,0 94 | 2014-04-03,2.9,-2.2,0.4,0,0 95 | 2014-04-04,7,-3.4,1.8,16.8,0 96 | 2014-04-05,4.7,0.4,2.6,1.2,0 97 | 2014-04-06,7.1,-1.2,3,0,0 98 | 2014-04-07,13,-0.1,6.5,6.4,0 99 | 2014-04-08,5.2,2.6,3.9,22.6,0 100 | 2014-04-09,4.8,-0.9,2,0,0 101 | 2014-04-10,16.2,-1.6,7.3,4,0 102 | 2014-04-11,11.8,2.9,7.4,0,0 103 | 2014-04-12,14.3,1.5,7.9,0,0 104 | 2014-04-13,11.7,2.6,7.2,8.2,0 105 | 2014-04-14,24.5,2.2,13.4,9,0 106 | 2014-04-15,16.2,-5.1,5.6,8.6,0.4 107 | 2014-04-16,0.6,-7.3,-3.4,0,0 108 | 2014-04-17,7.7,-2.9,2.4,0,0 109 | 2014-04-18,10.8,1.7,6.3,0,0 110 | 2014-04-19,10.6,0.9,5.8,0.4,0 111 | 2014-04-20,14.1,-2.6,5.8,0,0 112 | 2014-04-21,19.2,7.4,13.3,1.2,0 113 | 2014-04-22,12.7,7,9.9,10.4,0 114 | 2014-04-23,11.8,3.6,7.7,0,0 115 | 2014-04-24,13.2,1.4,7.3,0,0 116 | 2014-04-25,11.9,-0.3,5.8,0,0 117 | 2014-04-26,8.4,2.8,5.6,11.4,0 118 | 2014-04-27,10.4,2.3,6.4,2,0 119 | 2014-04-28,12.3,1.8,7.1,0,0 120 | 2014-04-29,16.5,5.7,11.1,2.8,0 121 | 2014-04-30,10.6,5.1,7.9,30.8,0 122 | 2014-05-01,16.1,6.1,11.1,8.2,0 123 | 2014-05-02,13,8.1,10.6,0.6,0 124 | 2014-05-03,16.3,7.9,12.1,0.8,0 125 | 2014-05-04,12,7.3,9.7,19.4,0 126 | 2014-05-05,13.4,6.3,9.9,0,0 127 | 2014-05-06,15,4.2,9.6,0,0 128 | 2014-05-07,15.8,3.2,9.5,0,0 129 | 2014-05-08,16.8,5.2,11,0,0 130 | 2014-05-09,20.8,8.8,14.8,4.2,0 131 | 2014-05-10,23.8,11.9,17.9,4.4,0 132 | 2014-05-11,21.9,11.4,16.7,0,0 133 | 2014-05-12,22.4,9.1,15.8,0,0 134 | 2014-05-13,18.4,8.3,13.4,1.4,0 135 | 2014-05-14,24.9,13.6,19.3,0,0 136 | 2014-05-15,28.2,17.5,22.9,0,0 137 | 2014-05-16,22.2,10.3,16.3,29.8,0 138 | 2014-05-17,15.4,8.3,11.9,10.8,0 139 | 2014-05-18,16.6,6.3,11.5,0,0 140 | 2014-05-19,20.2,9.2,14.7,0,0 141 | 2014-05-20,22.8,8.7,15.8,0,0 142 | 2014-05-21,23.8,10.4,17.1,0,0 143 | 2014-05-22,19,12.9,16,1,0 144 | 2014-05-23,20.8,10.8,15.8,0,0 145 | 2014-05-24,21.4,11.4,16.4,0,0 146 | 2014-05-25,25.2,9.4,17.3,4.6,0 147 | 2014-05-26,22.8,16.3,19.6,3.6,0 148 | 2014-05-27,16.9,8.6,12.8,4.2,0 149 | 2014-05-28,16.1,8.1,12.1,0.6,0 150 | 2014-05-29,20.5,6.1,13.3,0,0 151 | 2014-05-30,22.6,12,17.3,2,0 152 | 2014-05-31,20.2,9.1,14.7,0,0 153 | 2014-06-01,25.2,9.7,17.5,0,0 154 | 2014-06-02,30.4,15.7,23.1,0,0 155 | 2014-06-03,28.1,19.1,23.6,22,0 156 | 2014-06-04,21.3,14,17.7,0.2,0 157 | 2014-06-05,17,13.4,15.2,0.6,0 158 | 2014-06-06,23,12.9,18,0,0 159 | 2014-06-07,27.5,13.3,20.4,0,0 160 | 2014-06-08,28,14.6,21.3,0,0 161 | 2014-06-09,27.9,19.2,23.6,0,0 162 | 2014-06-10,24.6,15.8,20.2,0.4,0 163 | 2014-06-11,24.1,13.1,18.6,10.4,0 164 | 2014-06-12,17.9,12.9,15.4,26.2,0 165 | 2014-06-13,19.9,16.8,18.4,41.4,0 166 | 2014-06-14,19.8,14.6,17.2,1.4,0 167 | 2014-06-15,23.6,13.6,18.6,0,0 168 | 2014-06-16,24.8,11.4,18.1,0,0 169 | 2014-06-17,27.2,14,20.6,23.4,0 170 | 2014-06-18,25.7,16.6,21.2,2,0 171 | 2014-06-19,24.6,14.6,19.6,0,0 172 | 2014-06-20,21.7,12.1,16.9,0,0 173 | 2014-06-21,22.1,10.4,16.3,0,0 174 | 2014-06-22,23.8,11.5,17.7,0,0 175 | 2014-06-23,26.8,13.4,20.1,0,0 176 | 2014-06-24,21.9,19.2,20.6,40,0 177 | 2014-06-25,24,18.2,21.1,0.2,0 178 | 2014-06-26,26.3,17,21.7,0,0 179 | 2014-06-27,28.4,15,21.7,0,0 180 | 2014-06-28,29.2,16.3,22.8,0,0 181 | 2014-06-29,30.7,19.1,24.9,0,0 182 | 2014-06-30,29.7,22.8,26.3,0,0 183 | 2014-07-01,33.2,21.6,27.4,0,0 184 | 2014-07-02,29.8,21.2,25.5,0,0 185 | 2014-07-03,24.4,18.9,21.7,0.6,0 186 | 2014-07-04,23.4,16,19.7,3.2,0 187 | 2014-07-05,27.7,14.5,21.1,0,0 188 | 2014-07-06,27.7,18.7,23.2,0,0 189 | 2014-07-07,23.4,19.5,21.5,10,0 190 | 2014-07-08,30.6,19,24.8,7,0 191 | 2014-07-09,23.5,17.7,20.6,0,0 192 | 2014-07-10,23.1,14.3,18.7,0,0 193 | 2014-07-11,25.4,13.4,19.4,0,0 194 | 2014-07-12,27.4,16,21.7,0,0 195 | 2014-07-13,23.9,19.6,21.8,11,0 196 | 2014-07-14,24.1,17.6,20.9,0,0 197 | 2014-07-15,21.9,17.6,19.8,2.8,0 198 | 2014-07-16,24.8,16.6,20.7,0,0 199 | 2014-07-17,23.4,14,18.7,0.2,0 200 | 2014-07-18,26.2,14,20.1,0,0 201 | 2014-07-19,27.5,16.5,22,0,0 202 | 2014-07-20,28,18.9,23.5,0,0 203 | 2014-07-21,29.4,20.8,25.1,0,0 204 | 2014-07-22,29.7,20.5,25.1,0,0 205 | 2014-07-23,26.4,17.7,22.1,11.4,0 206 | 2014-07-24,22.9,13.8,18.4,0,0 207 | 2014-07-25,25.8,14.7,20.3,0,0 208 | 2014-07-26,26,15.9,21,0.2,0 209 | 2014-07-27,25,18,21.5,10.2,0 210 | 2014-07-28,18.5,14.2,16.4,9.8,0 211 | 2014-07-29,21.3,12,16.7,0,0 212 | 2014-07-30,24,13.8,18.9,0.8,0 213 | 2014-07-31,21.8,14.3,18.1,12.8,0 214 | 2014-08-01,26.1,14.8,20.5,0,0 215 | 2014-08-02,27.8,16.1,22,0,0 216 | 2014-08-03,28,16.6,22.3,0,0 217 | 2014-08-04,27.7,18.3,23,0.6,0 218 | 2014-08-05,25.4,17.7,21.6,1.6,0 219 | 2014-08-06,25.6,14.9,20.3,0,0 220 | 2014-08-07,23.1,15.9,19.5,6.2,0 221 | 2014-08-08,27,14,20.5,0,0 222 | 2014-08-09,28.7,15.4,22.1,0,0 223 | 2014-08-10,28.6,16.6,22.6,0,0 224 | 2014-08-11,29.7,17.8,23.8,0,0 225 | 2014-08-12,27.9,19.1,23.5,2.2,0 226 | 2014-08-13,21.1,16,18.6,44.4,0 227 | 2014-08-14,17.6,12,14.8,0,0 228 | 2014-08-15,17.5,12.2,14.9,5.2,0 229 | 2014-08-16,18.5,14.6,16.6,13.2,0 230 | 2014-08-17,22.8,14.6,18.7,0,0 231 | 2014-08-18,22.2,11.7,17,0,0 232 | 2014-08-19,23.5,10.6,17.1,0,0 233 | 2014-08-20,27.3,12.8,20.1,0,0 234 | 2014-08-21,23.1,17.9,20.5,0,0 235 | 2014-08-22,23.8,17.3,20.6,0,0 236 | 2014-08-23,26,14.7,20.4,0,0 237 | 2014-08-24,27.7,14.5,21.1,0,0 238 | 2014-08-25,28.9,17.6,23.3,0,0 239 | 2014-08-26,28.6,17,22.8,0.4,0 240 | 2014-08-27,25.6,18.4,22,0,0 241 | 2014-08-28,21.9,14.2,18.1,0,0 242 | 2014-08-29,22.6,11.4,17,0,0 243 | 2014-08-30,27.3,16.7,22,0.2,0 244 | 2014-08-31,25.3,19.8,22.6,11.2,0 245 | 2014-09-01,25.9,18.7,22.3,0,0 246 | 2014-09-02,28.6,18.3,23.5,4.4,0 247 | 2014-09-03,25.5,18,21.8,0,0 248 | 2014-09-04,27.7,16.3,22,0.4,0 249 | 2014-09-05,30.8,20.1,25.5,3,0 250 | 2014-09-06,23.2,10.6,16.9,5,0 251 | 2014-09-07,22.1,10.6,16.4,0,0 252 | 2014-09-08,24.7,11.4,18.1,0,0 253 | 2014-09-09,23.1,14.3,18.7,0,0 254 | 2014-09-10,24.8,14.6,19.7,0,0 255 | 2014-09-11,25.1,10.1,17.6,7.2,0 256 | 2014-09-12,14.1,6.1,10.1,0,0 257 | 2014-09-13,12.6,5.9,9.3,19,0 258 | 2014-09-14,10.9,4.6,7.8,0,0 259 | 2014-09-15,18.3,4.8,11.6,0.2,0 260 | 2014-09-16,18.6,9.3,14,0.4,0 261 | 2014-09-17,17.2,8,12.6,2.6,0 262 | 2014-09-18,12.4,3.4,7.9,0.2,0 263 | 2014-09-19,13,1.2,7.1,0,0 264 | 2014-09-20,19.8,9.2,14.5,0.2,0 265 | 2014-09-21,23.2,14,18.6,6.2,0 266 | 2014-09-22,14,6.9,10.5,0,0 267 | 2014-09-23,17.2,7.3,12.3,1.2,0 268 | 2014-09-24,21.8,6.7,14.3,0,0 269 | 2014-09-25,22.8,10.8,16.8,0,0 270 | 2014-09-26,25.5,11.9,18.7,0,0 271 | 2014-09-27,25.5,12.8,19.2,0,0 272 | 2014-09-28,24.8,14.8,19.8,0,0 273 | 2014-09-29,18,8.7,13.4,0,0 274 | 2014-09-30,17.3,9.3,13.3,0,0 275 | 2014-10-01,16.6,10.4,13.5,0,0 276 | 2014-10-02,20.3,8.7,14.5,0,0 277 | 2014-10-03,23.1,8.8,16,0,0 278 | 2014-10-04,16.6,9.8,13.2,23.6,0 279 | 2014-10-05,13.7,7.9,10.8,0,0 280 | 2014-10-06,16.3,8,12.2,0.4,0 281 | 2014-10-07,18.2,11.9,15.1,4,0 282 | 2014-10-08,17.5,8.7,13.1,19.8,0 283 | 2014-10-09,12.5,5.2,8.9,0.8,0 284 | 2014-10-10,11.8,4.6,8.2,0,0 285 | 2014-10-11,13.1,2.6,7.9,0,0 286 | 2014-10-12,13.2,2.6,7.9,0,0 287 | 2014-10-13,17.8,2.2,10,0,0 288 | 2014-10-14,24.8,13.7,19.3,0,0 289 | 2014-10-15,23.6,18.2,20.9,6.4,0 290 | 2014-10-16,21.7,14.6,18.2,7.6,0 291 | 2014-10-17,18.4,14.3,16.4,0.4,0 292 | 2014-10-18,16.9,5.9,11.4,1.4,0 293 | 2014-10-19,7.5,3,5.3,0,0 294 | 2014-10-20,6.8,1.8,4.3,1.2,0 295 | 2014-10-21,7.4,5.6,6.5,3,0 296 | 2014-10-22,12.6,6,9.3,0,0 297 | 2014-10-23,8.6,6.9,7.8,5.8,0 298 | 2014-10-24,11.5,4.9,8.2,1,0 299 | 2014-10-25,13.1,5.2,9.2,3.8,0 300 | 2014-10-26,10.9,7.2,9.1,0.8,0 301 | 2014-10-27,11.2,5.7,8.5,0.2,0 302 | 2014-10-28,13.7,7,10.4,6.2,0 303 | 2014-10-29,14.2,8.5,11.4,0.6,0 304 | 2014-10-30,10,2.8,6.4,0,0 305 | 2014-10-31,7.2,1.5,4.4,0,0 306 | 2014-11-01,6.9,1.9,4.4,0,0 307 | 2014-11-02,7.6,-0.3,3.7,0,0 308 | 2014-11-03,6.3,-1,2.7,0,0 309 | 2014-11-04,11.7,4.3,8,2.4,0 310 | 2014-11-05,12.2,5.7,9,2,0 311 | 2014-11-06,8.3,2.6,5.5,3,0 312 | 2014-11-07,4.8,-0.2,2.3,1.8,0 313 | 2014-11-08,4.4,-1.4,1.5,0.2,0 314 | 2014-11-09,6.5,2.7,4.6,0,0 315 | 2014-11-10,7.1,3.5,5.3,0,0 316 | 2014-11-11,12.5,0.2,6.4,0,0 317 | 2014-11-12,8.4,1.6,5,3.8,0 318 | 2014-11-13,4.7,-0.8,2,0,0 319 | 2014-11-14,2.1,-4,-1,0,0 320 | 2014-11-15,1.6,-4.9,-1.7,0,0 321 | 2014-11-16,3.3,-0.6,1.4,0,0.8 322 | 2014-11-17,1.5,-0.6,0.5,0,12.6 323 | 2014-11-18,1.5,-4.7,-1.6,0,2 324 | 2014-11-19,-2,-7.7,-4.9,0,0.6 325 | 2014-11-20,-0.1,-5.1,-2.6,0,0.4 326 | 2014-11-21,-4.6,-8.2,-6.4,0,0 327 | 2014-11-22,3,-7.9,-2.5,3.4,0.4 328 | 2014-11-23,7.9,2.8,5.4,0,0 329 | 2014-11-24,18,6.8,12.4,16,0 330 | 2014-11-25,7.8,2,4.9,0,0 331 | 2014-11-26,2.5,-0.9,0.8,0,0 332 | 2014-11-27,-0.1,-3.8,-2,0,0 333 | 2014-11-28,-2.8,-8.2,-5.5,0,0.4 334 | 2014-11-29,-0.8,-8.3,-4.6,0,0 335 | 2014-11-30,6.8,-0.9,3,0.6,0 336 | 2014-12-01,6.2,-8.7,-1.3,0.2,0 337 | 2014-12-02,-3.2,-14.9,-9.1,0,6.2 338 | 2014-12-03,3.3,-3.2,0.1,5.4,0.6 339 | 2014-12-04,0.1,-11.3,-5.6,0,0 340 | 2014-12-05,-4.6,-13.1,-8.9,0,2.2 341 | 2014-12-06,-1.1,-6,-3.6,0,0.6 342 | 2014-12-07,-4.9,-12.9,-8.9,0,0 343 | 2014-12-08,-2.3,-13.9,-8.1,0,0 344 | 2014-12-09,0.2,-4.8,-2.3,0,6.8 345 | 2014-12-10,0.2,-0.8,-0.3,0,20 346 | 2014-12-11,0.4,-3.2,-1.4,0.2,4.8 347 | 2014-12-12,-1.7,-4.2,-3,0,2 348 | 2014-12-13,-1.6,-5.9,-3.8,0,0 349 | 2014-12-14,-0.9,-4.8,-2.9,0,0 350 | 2014-12-15,-0.1,-1.9,-1,0,0 351 | 2014-12-16,0.6,-1.4,-0.4,0,0 352 | 2014-12-17,0.6,-0.2,0.2,2,0.2 353 | 2014-12-18,0.4,-2.4,-1,0,2 354 | 2014-12-19,-2.4,-11.5,-7,0,0 355 | 2014-12-20,-7.7,-15.6,-11.7,0,0 356 | 2014-12-21,-7.2,-10.3,-8.8,0,0.2 357 | 2014-12-22,-5.5,-8.6,-7.1,0,0 358 | 2014-12-23,3.1,-5.8,-1.4,2.6,3 359 | 2014-12-24,6.2,2.3,4.3,32,0 360 | 2014-12-25,7.8,3.5,5.7,1,0 361 | 2014-12-26,4.5,1.4,3,0,0 362 | 2014-12-27,7.4,0.9,4.2,0.2,0 363 | 2014-12-28,8.3,-3.3,2.5,0.8,0 364 | 2014-12-29,-0.7,-11.1,-5.9,0,0 365 | 2014-12-30,-10.6,-14.5,-12.6,0,0 366 | 2014-12-31,-6.3,-14.9,-10.6,0,0 -------------------------------------------------------------------------------- /ipypivot/data/mps.csv: -------------------------------------------------------------------------------- 1 | Name,Party,Province,Age,Gender 2 | "Liu, Laurin",NDP,Quebec,22,Female 3 | "Mourani, Maria",Bloc Quebecois,Quebec,43,Female 4 | "Sellah, Djaouida",NDP,Quebec,,Female 5 | "St-Denis, Lise",NDP,Quebec,72,Female 6 | "Fry, Hedy",Liberal,British Columbia,71,Female 7 | "Turmel, Nycole",NDP,Quebec,70,Female 8 | "Sgro, Judy",Liberal,Ontario,68,Female 9 | "Raynault, Francine",NDP,Quebec,67,Female 10 | "Davidson, Patricia",Conservative,Ontario,66,Female 11 | "Smith, Joy",Conservative,Manitoba,65,Female 12 | "Wong, Alice",Conservative,British Columbia,64,Female 13 | "O'Neill Gordon, Tilly",Conservative,New Brunswick,63,Female 14 | "Ablonczy, Diane",Conservative,Alberta,63,Female 15 | "Duncan, Linda Francis",NDP,Alberta,63,Female 16 | "Bennett, Carolyn",Liberal,Ontario,62,Female 17 | "Nash, Peggy",NDP,Ontario,61,Female 18 | "Mathyssen, Irene",NDP,Ontario,61,Female 19 | "Sims, Jinny Jogindera",NDP,British Columbia,60,Female 20 | "Foote, Judy",Liberal,Newfoundland and Labrador,60,Female 21 | "Crowder, Jean",NDP,British Columbia,60,Female 22 | "Davies, Libby",NDP,British Columbia,59,Female 23 | "Yelich, Lynne",Conservative,Saskatchewan,59,Female 24 | "Day, Anne-Marie",NDP,Quebec,58,Female 25 | "May, Elizabeth",Green,British Columbia,58,Female 26 | "Murray, Joyce",Liberal,British Columbia,58,Female 27 | "Findlay, Kerry-Lynne D.",Conservative,British Columbia,57,Female 28 | "Brown, Lois",Conservative,Ontario,57,Female 29 | "Laverdière, Hélène",NDP,Quebec,57,Female 30 | "Boutin-Sweet, Marjolaine",NDP,Quebec,57,Female 31 | "Crockatt, Joan",Conservative,Alberta,56,Female 32 | "Chow, Olivia",NDP,Ontario,55,Female 33 | "McLeod, Cathy",Conservative,British Columbia,55,Female 34 | "Finley, Diane",Conservative,Ontario,55,Female 35 | "LeBlanc, Hélène",NDP,Quebec,54,Female 36 | "Grewal, Nina",Conservative,British Columbia,54,Female 37 | "Hughes, Carol",NDP,Ontario,54,Female 38 | "Shea, Gail",Conservative,Prince Edward Island,53,Female 39 | "Truppe, Susan",Conservative,Ontario,53,Female 40 | "Young, Wai",Conservative,British Columbia,52,Female 41 | "Gallant, Cheryl",Conservative,Ontario,52,Female 42 | "Boivin, Françoise",NDP,Quebec,52,Female 43 | "Block, Kelly",Conservative,Saskatchewan,51,Female 44 | "Ayala, Paulina",NDP,Quebec,50,Female 45 | "Groguhé, Sadia",NDP,Quebec,50,Female 46 | "Charlton, Chris",NDP,Ontario,49,Female 47 | "Bergen, Candice",Conservative,Manitoba,48,Female 48 | "Perreault, Manon",NDP,Quebec,46,Female 49 | "James, Roxanne",Conservative,Ontario,46,Female 50 | "Ambler, Stella",Conservative,Ontario,46,Female 51 | "Duncan, Kirsty",Liberal,Ontario,46,Female 52 | "Glover, Shelly",Conservative,Manitoba,45,Female 53 | "Aglukkaq, Leona",Conservative,Territories,45,Female 54 | "Raitt, Lisa",Conservative,Ontario,44,Female 55 | "Ambrose, Rona",Conservative,Alberta,43,Female 56 | "Leitch, Kellie",Conservative,Ontario,42,Female 57 | "Leslie, Megan",NDP,Nova Scotia,39,Female 58 | "Hassainia, Sana",NDP,Quebec,38,Female 59 | "Adams, Eve",Conservative,Ontario,38,Female 60 | "Rempel, Michelle",Conservative,Alberta,32,Female 61 | "Papillon, Annick",NDP,Quebec,32,Female 62 | "Sitsabaiesan, Rathika",NDP,Ontario,31,Female 63 | "Quach, Anne Minh-Thu",NDP,Quebec,30,Female 64 | "Ashton, Niki",NDP,Manitoba,30,Female 65 | "Moore, Christine",NDP,Quebec,29,Female 66 | "Morin, Isabelle",NDP,Quebec,28,Female 67 | "Blanchette-Lamothe, Lysane",NDP,Quebec,28,Female 68 | "Brosseau, Ruth Ellen",NDP,Quebec,28,Female 69 | "Latendresse, Alexandrine",NDP,Quebec,28,Female 70 | "Doré Lefebvre, Rosane",NDP,Quebec,28,Female 71 | "Morin, Marie-Claude",NDP,Quebec,27,Female 72 | "Michaud, Élaine",NDP,Quebec,27,Female 73 | "Péclet, Ève",NDP,Quebec,24,Female 74 | "Freeman, Mylène",NDP,Quebec,23,Female 75 | "Borg, Charmaine",NDP,Quebec,22,Female 76 | "Bateman, Joyce",Conservative,Manitoba,,Female 77 | "Hiebert, Russ",Conservative,British Columbia,43,Male 78 | "Jacob, Pierre",NDP,Quebec,59,Male 79 | "Vellacott, Maurice",Conservative,Saskatchewan,57,Male 80 | "Boughen, Ray",Conservative,Saskatchewan,75,Male 81 | "O'Connor, Gordon",Conservative,Ontario,73,Male 82 | "Cotler, Irwin",Liberal,Quebec,72,Male 83 | "Oliver, Joe",Conservative,Ontario,72,Male 84 | "Tilson, David Allan",Conservative,Ontario,71,Male 85 | "Fantino, Julian",Conservative,Ontario,70,Male 86 | "Kent, Peter",Conservative,Ontario,69,Male 87 | "Plamondon, Louis",Bloc Quebecois,Quebec,69,Male 88 | "Schellenberger, Gary",Conservative,Ontario,69,Male 89 | "Lauzon, Guy",Conservative,Ontario,68,Male 90 | "Harris, Richard M.",Conservative,British Columbia,68,Male 91 | "Goldring, Peter",Conservative,Alberta,68,Male 92 | "Atamanenko, Alex",NDP,British Columbia,67,Male 93 | "Payne, LaVar",Conservative,Alberta,67,Male 94 | "Breitkreuz, Garry W.",Conservative,Saskatchewan,67,Male 95 | "Genest, Réjean",NDP,Quebec,66,Male 96 | "MacKenzie, Dave",Conservative,Ontario,66,Male 97 | "Hyer, Bruce",NDP,Ontario,66,Male 98 | "MacAulay, Lawrence",Liberal,Prince Edward Island,66,Male 99 | "Galipeau, Royal",Conservative,Ontario,65,Male 100 | "Marston, Wayne",NDP,Ontario,65,Male 101 | "Hawn, Laurie",Conservative,Alberta,65,Male 102 | "Kramp, Daryl",Conservative,Ontario,65,Male 103 | "Shipley, Bev",Conservative,Ontario,65,Male 104 | "Kerr, Greg",Conservative,Nova Scotia,65,Male 105 | "Comartin, Joe",NDP,Ontario,65,Male 106 | "Norlock, Rick",Conservative,Ontario,64,Male 107 | "McKay, John",Liberal,Ontario,64,Male 108 | "Mayes, Colin",Conservative,British Columbia,64,Male 109 | "Rae, Bob",Liberal,Ontario,64,Male 110 | "Harris, Jack",NDP,Newfoundland and Labrador,64,Male 111 | "Duncan, John",Conservative,British Columbia,64,Male 112 | "Chisu, Corneliu",Conservative,Ontario,63,Male 113 | "Garneau, Marc",Liberal,Quebec,63,Male 114 | "Easter, Arnold Wayne",Liberal,Prince Edward Island,63,Male 115 | "Aspin, Jay",Conservative,Ontario,63,Male 116 | "Goodale, Ralph",Liberal,Saskatchewan,63,Male 117 | "Albrecht, Harold",Conservative,Ontario,63,Male 118 | "Gravelle, Claude",NDP,Ontario,63,Male 119 | "Komarnicki, Ed",Conservative,Saskatchewan,63,Male 120 | "Flaherty, James Michael (Jim)",Conservative,Ontario,62,Male 121 | "Rankin, Murray",NDP,British Columbia,62,Male 122 | "McCallum, John",Liberal,Ontario,62,Male 123 | "Warawa, Mark",Conservative,British Columbia,62,Male 124 | "Obhrai, Deepak",Conservative,Alberta,62,Male 125 | "Benoit, Leon Earl",Conservative,Alberta,62,Male 126 | "Leung, Chungsen",Conservative,Ontario,62,Male 127 | "Morin, Marc-André",NDP,Quebec,61,Male 128 | "Sopuck, Robert",Conservative,Manitoba,61,Male 129 | "Ritz, Gerry",Conservative,Saskatchewan,61,Male 130 | "Garrison, Randall",NDP,British Columbia,61,Male 131 | "Lunney, James",Conservative,British Columbia,61,Male 132 | "Lukiwski, Tom",Conservative,Saskatchewan,61,Male 133 | "Carmichael, John",Conservative,Ontario,60,Male 134 | "Menzies, Ted",Conservative,Alberta,60,Male 135 | "Valcourt, Bernard",Conservative,New Brunswick,60,Male 136 | "Ashfield, Keith",Conservative,New Brunswick,60,Male 137 | "Nicholson, Rob",Conservative,Ontario,60,Male 138 | "Young, Terence H.",Conservative,Ontario,60,Male 139 | "Toews, Vic",Conservative,Manitoba,60,Male 140 | "Sullivan, Mike",NDP,Ontario,60,Male 141 | "Patry, Claude",NDP,Quebec,59,Male 142 | "Keddy, Gerald",Conservative,Nova Scotia,59,Male 143 | "Bevington, Dennis Fraser",NDP,Territories,59,Male 144 | "Allen, Malcolm",NDP,Ontario,59,Male 145 | "Rafferty, John",NDP,Ontario,59,Male 146 | "Dreeshen, Earl",Conservative,Alberta,59,Male 147 | "Kamp, Randy",Conservative,British Columbia,59,Male 148 | "Merrifield, Rob",Conservative,Alberta,59,Male 149 | "Woodworth, Stephen",Conservative,Ontario,58,Male 150 | "McColeman, Phil",Conservative,Ontario,58,Male 151 | "Lebel, Denis",Conservative,Quebec,58,Male 152 | "Lizon, Wladyslaw",Conservative,Ontario,58,Male 153 | "Holder, Ed",Conservative,Ontario,58,Male 154 | "Valeriote, Frank",Liberal,Ontario,58,Male 155 | "Christopherson, David",NDP,Ontario,58,Male 156 | "Mulcair, Thomas J.",NDP,Quebec,58,Male 157 | "Daniel, Joe",Conservative,Ontario,58,Male 158 | "Karygiannis, Jim",Liberal,Ontario,57,Male 159 | "Godin, Yvon",NDP,New Brunswick,57,Male 160 | "Dionne Labelle, Pierre",NDP,Quebec,57,Male 161 | "Preston, Joe",Conservative,Ontario,57,Male 162 | "Bélanger, Mauril",Liberal,Ontario,57,Male 163 | "Fast, Edward",Conservative,British Columbia,57,Male 164 | "Tweed, Mervin C.",Conservative,Manitoba,57,Male 165 | "Dion, Stéphane",Liberal,Quebec,57,Male 166 | "Van Kesteren, Dave",Conservative,Ontario,57,Male 167 | "Cuzner, Rodger",Liberal,Nova Scotia,57,Male 168 | "Martin, Pat",NDP,Manitoba,57,Male 169 | "Stoffer, Peter",NDP,Nova Scotia,56,Male 170 | "Miller, Larry",Conservative,Ontario,56,Male 171 | "Blanchette, Denis",NDP,Quebec,56,Male 172 | "Nunez-Melo, José",NDP,Quebec,56,Male 173 | "Goguen, Robert",Conservative,New Brunswick,55,Male 174 | "Scarpaleggia, Francis",Liberal,Quebec,55,Male 175 | "Sweet, David",Conservative,Ontario,55,Male 176 | "Anderson, David",Conservative,Saskatchewan,55,Male 177 | "Chisholm, Robert",NDP,Nova Scotia,55,Male 178 | "Stanton, Bruce",Conservative,Ontario,55,Male 179 | "Goodyear, Gary",Conservative,Ontario,54,Male 180 | "Weston, John",Conservative,British Columbia,54,Male 181 | "Dechert, Bob",Conservative,Ontario,54,Male 182 | "Shory, Devinder",Conservative,Alberta,54,Male 183 | "Pilon, François",NDP,Quebec,54,Male 184 | "Hayes, Bryan",Conservative,Ontario,54,Male 185 | "Giguère, Alain",NDP,Quebec,54,Male 186 | "Sorenson, Kevin",Conservative,Alberta,54,Male 187 | "Benskin, Tyrone",NDP,Quebec,53,Male 188 | "Menegakis, Costas",Conservative,Ontario,53,Male 189 | "Harper, Stephen",Conservative,Alberta,53,Male 190 | "Wilks, David",Conservative,British Columbia,53,Male 191 | "Regan, Geoff",Liberal,Nova Scotia,53,Male 192 | "McGuinty, David",Liberal,Ontario,52,Male 193 | "Gosal, Bal",Conservative,Ontario,52,Male 194 | "Aubin, Robert",NDP,Quebec,52,Male 195 | "Eyking, Mark",Liberal,Nova Scotia,52,Male 196 | "Brown, Gordon",Conservative,Ontario,52,Male 197 | "Allen, Mike",Conservative,New Brunswick,52,Male 198 | "Clement, Tony",Conservative,Ontario,51,Male 199 | "Cannan, Ronald",Conservative,British Columbia,51,Male 200 | "Rousseau, Jean",NDP,Quebec,51,Male 201 | "Opitz, Ted",Conservative,Ontario,51,Male 202 | "Toet, Lawrence",Conservative,Manitoba,50,Male 203 | "Cash, Andrew",NDP,Ontario,50,Male 204 | "Lamoureux, Kevin",Liberal,Manitoba,50,Male 205 | "Scott, Craig",NDP,Ontario,50,Male 206 | "Adler, Mark",Conservative,Ontario,50,Male 207 | "Carrie, Colin",Conservative,Ontario,50,Male 208 | "Julian, Peter",NDP,British Columbia,50,Male 209 | "Pacetti, Massimo",Liberal,Quebec,50,Male 210 | "Saganash, Romeo",NDP,Quebec,50,Male 211 | "Angus, Charlie",NDP,Ontario,50,Male 212 | "Davies, Don",NDP,British Columbia,49,Male 213 | "Bernier, Maxime",Conservative,Quebec,49,Male 214 | "Dewar, Paul",NDP,Ontario,49,Male 215 | "Jean, Brian",Conservative,Alberta,49,Male 216 | "Devolin, Barry",Conservative,Ontario,49,Male 217 | "Lemieux, Pierre",Conservative,Ontario,49,Male 218 | "Van Loan, Peter",Conservative,Ontario,49,Male 219 | "Casey, Sean",Liberal,Prince Edward Island,49,Male 220 | "Nantel, Pierre",NDP,Quebec,49,Male 221 | "Coderre, Denis",Liberal,Quebec,49,Male 222 | "Wallace, Mike",Conservative,Ontario,49,Male 223 | "Braid, Peter",Conservative,Ontario,48,Male 224 | "Gourde, Jacques",Conservative,Quebec,48,Male 225 | "Reid, Scott",Conservative,Ontario,48,Male 226 | "Hsu, Ted",Liberal,Ontario,48,Male 227 | "Saxton, Andrew",Conservative,British Columbia,48,Male 228 | "Weston, Rodney",Conservative,New Brunswick,48,Male 229 | "Penashue, Peter",Conservative,Newfoundland and Labrador,48,Male 230 | "Bellavance, André",Bloc Quebecois,Quebec,48,Male 231 | "Rathgeber, Brent",Conservative,Alberta,48,Male 232 | "Kellway, Matthew",NDP,Ontario,48,Male 233 | "Toone, Philip",NDP,Quebec,47,Male 234 | "Allison, Dean",Conservative,Ontario,47,Male 235 | "Trottier, Bernard",Conservative,Ontario,47,Male 236 | "Blaney, Steven",Conservative,Quebec,47,Male 237 | "Bezan, James",Conservative,Manitoba,47,Male 238 | "MacKay, Peter Gordon",Conservative,Nova Scotia,47,Male 239 | "Dykstra, Richard",Conservative,Ontario,46,Male 240 | "Sandhu, Jasbir",NDP,British Columbia,46,Male 241 | "Donnelly, Fin",NDP,British Columbia,46,Male 242 | "Armstrong, Scott",Conservative,Nova Scotia,46,Male 243 | "Byrne, Gerry",Liberal,Newfoundland and Labrador,46,Male 244 | "Stewart, Kennedy",NDP,British Columbia,46,Male 245 | "Cleary, Ryan",NDP,Newfoundland and Labrador,46,Male 246 | "Côté, Raymond",NDP,Quebec,45,Male 247 | "Clarke, Rob",Conservative,Saskatchewan,45,Male 248 | "Brison, Scott",Liberal,Nova Scotia,45,Male 249 | "Butt, Brad",Conservative,Ontario,45,Male 250 | "Rickford, Greg",Conservative,Ontario,45,Male 251 | "LeBlanc, Dominic",Liberal,New Brunswick,45,Male 252 | "Hoback, Randy",Conservative,Saskatchewan,45,Male 253 | "Caron, Guy",NDP,Quebec,44,Male 254 | "Brahmi, Tarik",NDP,Quebec,44,Male 255 | "Kenney, Jason",Conservative,Alberta,44,Male 256 | "Masse, Brian",NDP,Ontario,44,Male 257 | "Alexander, Chris",Conservative,Ontario,44,Male 258 | "Zimmer, Bob",Conservative,British Columbia,44,Male 259 | "Calkins, Blaine",Conservative,Alberta,44,Male 260 | "Baird, John",Conservative,Ontario,43,Male 261 | "Lake, Mike",Conservative,Alberta,43,Male 262 | "Simms, Scott",Liberal,Newfoundland and Labrador,43,Male 263 | "Thibeault, Glenn",NDP,Ontario,43,Male 264 | "Williamson, John",Conservative,New Brunswick,42,Male 265 | "Calandra, Paul",Conservative,Ontario,42,Male 266 | "Chicoine, Sylvain",NDP,Quebec,42,Male 267 | "Del Mastro, Dean",Conservative,Ontario,42,Male 268 | "Rajotte, James",Conservative,Alberta,42,Male 269 | "Seeback, Kyle",Conservative,Ontario,42,Male 270 | "Watson, Jeff",Conservative,Ontario,41,Male 271 | "Lapointe, François",NDP,Quebec,41,Male 272 | "Nicholls, Jamie",NDP,Quebec,41,Male 273 | "Chong, Michael D.",Conservative,Ontario,41,Male 274 | "Trudeau, Justin",Liberal,Quebec,41,Male 275 | "Larose, Jean-François",NDP,Quebec,40,Male 276 | "Anders, Rob",Conservative,Alberta,40,Male 277 | "Fletcher, Steven John",Conservative,Manitoba,40,Male 278 | "Cullen, Nathan",NDP,British Columbia,40,Male 279 | "Ravignat, Mathieu",NDP,Quebec,39,Male 280 | "Bruinooge, Rod",Conservative,Manitoba,39,Male 281 | "Mai, Hoang",NDP,Quebec,39,Male 282 | "Boulerice, Alexandre",NDP,Quebec,39,Male 283 | "Fortin, Jean-François",Bloc Quebecois,Quebec,39,Male 284 | "Leef, Ryan",Conservative,Territories,38,Male 285 | "Paradis, Christian",Conservative,Quebec,38,Male 286 | "Choquette, François",NDP,Quebec,38,Male 287 | "Moore, Rob",Conservative,New Brunswick,38,Male 288 | "Trost, Brad",Conservative,Saskatchewan,38,Male 289 | "Gill, Parm",Conservative,Ontario,38,Male 290 | "Hillyer, Jim",Conservative,Alberta,38,Male 291 | "Richards, Blake",Conservative,Alberta,38,Male 292 | "Uppal, Tim",Conservative,Alberta,38,Male 293 | "Andrews, Scott",Liberal,Newfoundland and Labrador,37,Male 294 | "Moore, James",Conservative,British Columbia,36,Male 295 | "Lobb, Ben",Conservative,Ontario,36,Male 296 | "Albas, Dan",Conservative,British Columbia,36,Male 297 | "Storseth, Brian",Conservative,Alberta,34,Male 298 | "Strahl, Mark",Conservative,British Columbia,34,Male 299 | "Brown, Patrick W.",Conservative,Ontario,34,Male 300 | "Warkentin, Chris",Conservative,Alberta,34,Male 301 | "Scheer, Andrew",Conservative,Saskatchewan,33,Male 302 | "Poilievre, Pierre",Conservative,Ontario,33,Male 303 | "Genest-Jourdain, Jonathan",NDP,Quebec,33,Male 304 | "Harris, Dan",NDP,Ontario,33,Male 305 | "Tremblay, Jonathan",NDP,Quebec,28,Male 306 | "Morin, Dany",NDP,Quebec,27,Male 307 | "Dubé, Matthew",NDP,Quebec,24,Male 308 | "Dusseault, Pierre-Luc",NDP,Quebec,21,Male 309 | "O'Toole, Erin",Conservative,Ontario,,Male 310 | -------------------------------------------------------------------------------- /ipypivot/api/create_api_json.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "import pandas as pd" 10 | ] 11 | }, 12 | { 13 | "cell_type": "code", 14 | "execution_count": 2, 15 | "metadata": { 16 | "scrolled": false 17 | }, 18 | "outputs": [ 19 | { 20 | "data": { 21 | "text/html": [ 22 | "
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    KeyTypeDefault valueDescription
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    1colsarray of strings[]array of attribute names for use as columns
    2aggregatorfunction$.pivotUtilities .aggregators[\"Count\"]()constructor for an object which will aggregate...
    3aggregatorNamestringCountName of the aggregator, used for display purpo...
    4rendererfunctiontable()generates output from pivot data structure (se...
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    6colOrderstringkey_a_to_zthe order in which column data is provided to ...
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    8dataClassfunction$.pivotUtilities.PivotDataConstructor for the data class to be built and...
    9filterfunctionfunction(){return true;}called on each record, returns false if the re...
    10sortersobject or function{}accessed or called with an attribute name and ...
    11rendererOptionsobject{}object passed through to renderer as options
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    " 141 | ], 142 | "text/plain": [ 143 | " Key Type \\\n", 144 | "0 rows array of strings \n", 145 | "1 cols array of strings \n", 146 | "2 aggregator function \n", 147 | "3 aggregatorName string \n", 148 | "4 renderer function \n", 149 | "5 rowOrder string \n", 150 | "6 colOrder string \n", 151 | "7 derivedAttributes object of functions \n", 152 | "8 dataClass function \n", 153 | "9 filter function \n", 154 | "10 sorters object or function \n", 155 | "11 rendererOptions object \n", 156 | "12 localeStrings object \n", 157 | "\n", 158 | " Default value \\\n", 159 | "0 [] \n", 160 | "1 [] \n", 161 | "2 $.pivotUtilities .aggregators[\"Count\"]() \n", 162 | "3 Count \n", 163 | "4 table() \n", 164 | "5 key_a_to_z \n", 165 | "6 key_a_to_z \n", 166 | "7 {} \n", 167 | "8 $.pivotUtilities.PivotData \n", 168 | "9 function(){return true;} \n", 169 | "10 {} \n", 170 | "11 {} \n", 171 | "12 en strings \n", 172 | "\n", 173 | " Description \n", 174 | "0 array of attribute names to use as rows \n", 175 | "1 array of attribute names for use as columns \n", 176 | "2 constructor for an object which will aggregate... \n", 177 | "3 Name of the aggregator, used for display purpo... \n", 178 | "4 generates output from pivot data structure (se... \n", 179 | "5 the order in which row data is provided to the... \n", 180 | "6 the order in which column data is provided to ... \n", 181 | "7 object to define derived attributes (see docum... \n", 182 | "8 Constructor for the data class to be built and... \n", 183 | "9 called on each record, returns false if the re... \n", 184 | "10 accessed or called with an attribute name and ... \n", 185 | "11 object passed through to renderer as options \n", 186 | "12 locale-specific strings for error messages (se... " 187 | ] 188 | }, 189 | "execution_count": 2, 190 | "metadata": {}, 191 | "output_type": "execute_result" 192 | } 193 | ], 194 | "source": [ 195 | "df = pd.read_csv('pivot.tsv', sep='\\t')\n", 196 | "df.to_json('pivot.json', orient='records')\n", 197 | "df = pd.read_json('pivot.json', orient='records')\n", 198 | "\n", 199 | "df = df[['Key ', 'Type ', 'Default value ', 'Description']]\n", 200 | "df" 201 | ] 202 | }, 203 | { 204 | "cell_type": "code", 205 | "execution_count": 3, 206 | "metadata": {}, 207 | "outputs": [ 208 | { 209 | "data": { 210 | "text/html": [ 211 | "
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    0rowsarray of strings[]attribute names to prepopulate in row area
    1colsarray of strings[]attribute names to prepopulate in cols area
    2valsarray of strings[]attribute names to prepopulate in vals area (g...
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    4aggregatorNamestringfirst key in aggregatorsaggregator to prepopulate in dropdown i.e. key...
    5renderersobject of functions$.pivotUtilities.renderersdictionary of rendering functions (see documen...
    6rendererNamestringfirst key in renderersrenderer to prepopulate in dropdown, i.e key t...
    7rowOrderstringkey_a_to_zthe order in which row data is provided to the...
    8colOrderstringkey_a_to_zthe order in which column data is provided to ...
    9derivedAttributesobject of functions{}defines derived attributes (see documentation)
    10dataClassfunction$.pivotUtilities.PivotDataConstructor for the data class to be built and...
    11filterfunctionfunction(){return true;}called on each record, returns false if the re...
    12inclusionsobject of arrays of strings{}object whose keys are attribute names and valu...
    13exclusionsobject of arrays of strings{}object whose keys are attribute names and valu...
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    15hiddenFromAggregatorsarray of strings[]contains attribute names to omit from the aggr...
    16hiddenFromDragDroparray of strings[]contains attribute names to omit from the drag...
    17sortersobject or function{}accessed or called with an attribute name and ...
    18onRefreshfunctionfunction(){}called upon renderer refresh with an object re...
    19menuLimitinteger50maximum number of values to list in the double...
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    21unusedAttrsVerticalboolean or integer85controls whether or not unused attributes are ...
    22rendererOptionsobject{}passed through to renderer as options
    23localeStringsobjecten stringslocale-specific strings for UI display (see lo...
    \n", 406 | "
    " 407 | ], 408 | "text/plain": [ 409 | " Key Type \\\n", 410 | "0 rows array of strings \n", 411 | "1 cols array of strings \n", 412 | "2 vals array of strings \n", 413 | "3 aggregators object of functions \n", 414 | "4 aggregatorName string \n", 415 | "5 renderers object of functions \n", 416 | "6 rendererName string \n", 417 | "7 rowOrder string \n", 418 | "8 colOrder string \n", 419 | "9 derivedAttributes object of functions \n", 420 | "10 dataClass function \n", 421 | "11 filter function \n", 422 | "12 inclusions object of arrays of strings \n", 423 | "13 exclusions object of arrays of strings \n", 424 | "14 hiddenAttributes array of strings \n", 425 | "15 hiddenFromAggregators array of strings \n", 426 | "16 hiddenFromDragDrop array of strings \n", 427 | "17 sorters object or function \n", 428 | "18 onRefresh function \n", 429 | "19 menuLimit integer \n", 430 | "20 autoSortUnusedAttrs boolean \n", 431 | "21 unusedAttrsVertical boolean or integer \n", 432 | "22 rendererOptions object \n", 433 | "23 localeStrings object \n", 434 | "\n", 435 | " Default value \\\n", 436 | "0 [] \n", 437 | "1 [] \n", 438 | "2 [] \n", 439 | "3 $.pivotUtilities.aggregators \n", 440 | "4 first key in aggregators \n", 441 | "5 $.pivotUtilities.renderers \n", 442 | "6 first key in renderers \n", 443 | "7 key_a_to_z \n", 444 | "8 key_a_to_z \n", 445 | "9 {} \n", 446 | "10 $.pivotUtilities.PivotData \n", 447 | "11 function(){return true;} \n", 448 | "12 {} \n", 449 | "13 {} \n", 450 | "14 [] \n", 451 | "15 [] \n", 452 | "16 [] \n", 453 | "17 {} \n", 454 | "18 function(){} \n", 455 | "19 50 \n", 456 | "20 false \n", 457 | "21 85 \n", 458 | "22 {} \n", 459 | "23 en strings \n", 460 | "\n", 461 | " Description \n", 462 | "0 attribute names to prepopulate in row area \n", 463 | "1 attribute names to prepopulate in cols area \n", 464 | "2 attribute names to prepopulate in vals area (g... \n", 465 | "3 dictionary of generators for aggregation funct... \n", 466 | "4 aggregator to prepopulate in dropdown i.e. key... \n", 467 | "5 dictionary of rendering functions (see documen... \n", 468 | "6 renderer to prepopulate in dropdown, i.e key t... \n", 469 | "7 the order in which row data is provided to the... \n", 470 | "8 the order in which column data is provided to ... \n", 471 | "9 defines derived attributes (see documentation) \n", 472 | "10 Constructor for the data class to be built and... \n", 473 | "11 called on each record, returns false if the re... \n", 474 | "12 object whose keys are attribute names and valu... \n", 475 | "13 object whose keys are attribute names and valu... \n", 476 | "14 contains attribute names to omit from the UI \n", 477 | "15 contains attribute names to omit from the aggr... \n", 478 | "16 contains attribute names to omit from the drag... \n", 479 | "17 accessed or called with an attribute name and ... \n", 480 | "18 called upon renderer refresh with an object re... \n", 481 | "19 maximum number of values to list in the double... \n", 482 | "20 controls whether or not unused attributes are ... \n", 483 | "21 controls whether or not unused attributes are ... \n", 484 | "22 passed through to renderer as options \n", 485 | "23 locale-specific strings for UI display (see lo... " 486 | ] 487 | }, 488 | "execution_count": 3, 489 | "metadata": {}, 490 | "output_type": "execute_result" 491 | } 492 | ], 493 | "source": [ 494 | "df = pd.read_csv('pivotui.tsv', sep='\\t')\n", 495 | "df.to_json('pivotui.json', orient='records')\n", 496 | "df = pd.read_json('pivotui.json', orient='records')\n", 497 | "\n", 498 | "df = df[['Key ', 'Type ', 'Default value ', 'Description']]\n", 499 | "df" 500 | ] 501 | }, 502 | { 503 | "cell_type": "code", 504 | "execution_count": 16, 505 | "metadata": {}, 506 | "outputs": [], 507 | "source": [ 508 | "# df = pd.read_csv('../data/iris.csv')\n", 509 | "# df = df.iloc[:, 1:]\n", 510 | "# df.info()\n", 511 | "# df.to_csv('../data/iris2.csv', index=None)" 512 | ] 513 | } 514 | ], 515 | "metadata": { 516 | "kernelspec": { 517 | "display_name": "Python 3", 518 | "language": "python", 519 | "name": "python3" 520 | }, 521 | "language_info": { 522 | "codemirror_mode": { 523 | "name": "ipython", 524 | "version": 3 525 | }, 526 | "file_extension": ".py", 527 | "mimetype": "text/x-python", 528 | "name": "python", 529 | "nbconvert_exporter": "python", 530 | "pygments_lexer": "ipython3", 531 | "version": "3.6.1" 532 | } 533 | }, 534 | "nbformat": 4, 535 | "nbformat_minor": 1 536 | } 537 | -------------------------------------------------------------------------------- /ipypivot/data/tips.json: -------------------------------------------------------------------------------- 1 | [ 2 | [ 3 | "row", 4 | "total_bill", 5 | "tip", 6 | "sex", 7 | "smoker", 8 | "day", 9 | "time", 10 | "size" 11 | ], 12 | [ 13 | "1", 14 | 16.99, 15 | 1.01, 16 | "Female", 17 | "No", 18 | "Sun", 19 | "Dinner", 20 | 2 21 | ], 22 | [ 23 | "2", 24 | 10.34, 25 | 1.66, 26 | "Male", 27 | "No", 28 | "Sun", 29 | "Dinner", 30 | 3 31 | ], 32 | [ 33 | "3", 34 | 21.01, 35 | 3.5, 36 | "Male", 37 | "No", 38 | "Sun", 39 | "Dinner", 40 | 3 41 | ], 42 | [ 43 | "4", 44 | 23.68, 45 | 3.31, 46 | "Male", 47 | "No", 48 | "Sun", 49 | "Dinner", 50 | 2 51 | ], 52 | [ 53 | "5", 54 | 24.59, 55 | 3.61, 56 | "Female", 57 | "No", 58 | "Sun", 59 | "Dinner", 60 | 4 61 | ], 62 | [ 63 | "6", 64 | 25.29, 65 | 4.71, 66 | "Male", 67 | "No", 68 | "Sun", 69 | "Dinner", 70 | 4 71 | ], 72 | [ 73 | "7", 74 | 8.77, 75 | 2, 76 | "Male", 77 | "No", 78 | "Sun", 79 | "Dinner", 80 | 2 81 | ], 82 | [ 83 | "8", 84 | 26.88, 85 | 3.12, 86 | "Male", 87 | "No", 88 | "Sun", 89 | "Dinner", 90 | 4 91 | ], 92 | [ 93 | "9", 94 | 15.04, 95 | 1.96, 96 | "Male", 97 | "No", 98 | "Sun", 99 | "Dinner", 100 | 2 101 | ], 102 | [ 103 | "10", 104 | 14.78, 105 | 3.23, 106 | "Male", 107 | "No", 108 | "Sun", 109 | "Dinner", 110 | 2 111 | ], 112 | [ 113 | "11", 114 | 10.27, 115 | 1.71, 116 | "Male", 117 | "No", 118 | "Sun", 119 | "Dinner", 120 | 2 121 | ], 122 | [ 123 | "12", 124 | 35.26, 125 | 5, 126 | "Female", 127 | "No", 128 | "Sun", 129 | "Dinner", 130 | 4 131 | ], 132 | [ 133 | "13", 134 | 15.42, 135 | 1.57, 136 | "Male", 137 | "No", 138 | "Sun", 139 | "Dinner", 140 | 2 141 | ], 142 | [ 143 | "14", 144 | 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