├── webclassifier ├── classifier │ ├── __init__.py │ ├── migrations │ │ ├── __init__.py │ │ └── __pycache__ │ │ │ └── __init__.cpython-37.pyc │ ├── result │ │ └── result.csv │ ├── models.py │ ├── admin.py │ ├── eclf.joblib │ ├── static │ │ ├── ID.png │ │ ├── qian.png │ │ ├── quyu.png │ │ ├── tag.png │ │ ├── type.png │ │ ├── favicon.ico │ │ ├── leixing.png │ │ ├── shijian.png │ │ ├── single.png │ │ ├── slide1.jpg │ │ ├── slide2.jpg │ │ ├── slide3.jpg │ │ ├── zhuanli.png │ │ ├── multiple.png │ │ ├── shangbiao.png │ │ ├── zhuzuoquan.png │ │ ├── leixingbili.png │ │ ├── suozaixingye.png │ │ ├── system-statu.png │ │ └── css │ │ │ └── carousel.css │ ├── apps.py │ ├── upload │ │ ├── base_test_sum.csv │ │ ├── knowledge_test_sum.csv │ │ ├── year_report_test_sum.csv │ │ └── money_report_test_sum.csv │ ├── urls.py │ ├── templates │ │ ├── multiple_result.html │ │ ├── single_result.html │ │ ├── single_result_visualize_year.html │ │ ├── single_result_visualize_money.html │ │ ├── single_upload.html │ │ ├── multiple_upload.html │ │ ├── single_result_visualize_base.html │ │ ├── index.html │ │ └── single_input.html │ ├── forms.py │ ├── tests.py │ ├── algorithm.py │ └── views.py ├── webclassifier │ ├── __init__.py │ ├── __pycache__ │ │ ├── urls.cpython-37.pyc │ │ ├── wsgi.cpython-37.pyc │ │ ├── __init__.cpython-37.pyc │ │ └── settings.cpython-37.pyc │ ├── asgi.py │ ├── wsgi.py │ ├── urls.py │ └── settings.py ├── db.sqlite3 └── manage.py ├── 项目技术文档.pdf ├── homepage.png ├── visualize.png ├── architecture.png ├── machinelearning ├── eclf.joblib └── CompanyClassifier.ipynb ├── README.md └── LICENSE /webclassifier/classifier/__init__.py: -------------------------------------------------------------------------------- 1 | # -------------------------------------------------------------------------------- /webclassifier/webclassifier/__init__.py: -------------------------------------------------------------------------------- 1 | # -------------------------------------------------------------------------------- /webclassifier/classifier/migrations/__init__.py: -------------------------------------------------------------------------------- 1 | # -------------------------------------------------------------------------------- /webclassifier/classifier/result/result.csv: -------------------------------------------------------------------------------- 1 | ID,flag 2 | 28,1.0 3 | -------------------------------------------------------------------------------- /项目技术文档.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Bil369/YiQi-ZombieCompanyClassifier/HEAD/项目技术文档.pdf -------------------------------------------------------------------------------- /homepage.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Bil369/YiQi-ZombieCompanyClassifier/HEAD/homepage.png 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-------------------------------------------------------------------------------- 1 | from django.contrib import admin 2 | 3 | # Register your models here. 4 | -------------------------------------------------------------------------------- /webclassifier/db.sqlite3: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Bil369/YiQi-ZombieCompanyClassifier/HEAD/webclassifier/db.sqlite3 -------------------------------------------------------------------------------- /machinelearning/eclf.joblib: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Bil369/YiQi-ZombieCompanyClassifier/HEAD/machinelearning/eclf.joblib -------------------------------------------------------------------------------- /webclassifier/classifier/eclf.joblib: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | """ 2 | WSGI config for webclassifier project. 3 | 4 | It exposes the WSGI callable as a module-level variable named ``application``. 5 | 6 | For more information on this file, see 7 | https://docs.djangoproject.com/en/3.0/howto/deployment/wsgi/ 8 | """ 9 | 10 | import os 11 | 12 | from django.core.wsgi import get_wsgi_application 13 | 14 | os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'webclassifier.settings') 15 | 16 | application = get_wsgi_application() 17 | -------------------------------------------------------------------------------- /webclassifier/manage.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | """Django's command-line utility for administrative tasks.""" 3 | import os 4 | import sys 5 | 6 | 7 | def main(): 8 | os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'webclassifier.settings') 9 | try: 10 | from django.core.management import execute_from_command_line 11 | except ImportError as exc: 12 | raise ImportError( 13 | "Couldn't import Django. Are you sure it's installed and " 14 | "available on your PYTHONPATH environment variable? Did you " 15 | "forget to activate a virtual environment?" 16 | ) from exc 17 | execute_from_command_line(sys.argv) 18 | 19 | 20 | if __name__ == '__main__': 21 | main() 22 | -------------------------------------------------------------------------------- /webclassifier/classifier/urls.py: -------------------------------------------------------------------------------- 1 | from django.urls import path 2 | from classifier import views 3 | 4 | urlpatterns = [ 5 | path('', views.index, name='index'), 6 | path('multiple/upload/', views.multiple_upload, name='multiple-upload'), 7 | path('multiple/result/', views.multiple_result, name='multiple-result'), 8 | path('multiple/download/', views.multiple_download, name='multiple-download'), 9 | path('single/upload/', views.single_upload, name='single-upload'), 10 | path('single/result/', views.single_result, name='single-result'), 11 | path('single/input/', views.single_input, name='single-input'), 12 | path('single/result/visualize/base/', views.single_result_visualize_base, name='single-result-visualize-base'), 13 | path('single/result/visualize/money/', views.single_result_visualize_money, name='single-result-visualize-money'), 14 | path('single/result/visualize/year/', views.single_result_visualize_year, name='single-result-visualize-year'), 15 | ] -------------------------------------------------------------------------------- /webclassifier/webclassifier/urls.py: -------------------------------------------------------------------------------- 1 | """webclassifier URL Configuration 2 | 3 | The `urlpatterns` list routes URLs to views. For more information please see: 4 | https://docs.djangoproject.com/en/3.0/topics/http/urls/ 5 | Examples: 6 | Function views 7 | 1. Add an import: from my_app import views 8 | 2. Add a URL to urlpatterns: path('', views.home, name='home') 9 | Class-based views 10 | 1. Add an import: from other_app.views import Home 11 | 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') 12 | Including another URLconf 13 | 1. Import the include() function: from django.urls import include, path 14 | 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) 15 | """ 16 | from django.contrib import admin 17 | from django.urls import path 18 | from django.conf.urls import include 19 | from django.views.generic import RedirectView 20 | from django.conf import settings 21 | from django.conf.urls.static import static 22 | 23 | urlpatterns = [ 24 | path('admin/', admin.site.urls), 25 | ] 26 | 27 | urlpatterns += [ 28 | path('classifier/', include('classifier.urls')), 29 | ] 30 | 31 | urlpatterns += [ 32 | path('', RedirectView.as_view(url='/classifier/')), 33 | ] 34 | 35 | urlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) 36 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # 易企|僵尸企业分类系统 2 | ![build](https://img.shields.io/badge/build-passing-success) 3 | ![build](https://img.shields.io/badge/python-v3.7-ff68b4) 4 | ![build](https://img.shields.io/badge/django-v3.0.4-blueviolet) 5 | ![build](https://img.shields.io/badge/license-GPL-blue) 6 | 7 | 本项目是2020年第十一届中国大学生服务外包创新创业大赛A09赛题——僵尸企业画像及分类我们团队提交作品的源码。该项目主要任务是要根据给定的企业信息,进行二分类,判断是僵尸企业和非僵尸企业。 8 | 9 | 本项目分为两部分,第一部分是机器学习训练模型,业务与统计两个角度构造特征,使用RFECV作特征筛选,算法主要使用决策树、随机森林与XGBoost,网格搜索五折交叉参数调优,并使用VotingClassifier做了融合,权重使用遗传算法确定,并做了数据融合。第二部分是Web可视化界面,用于支持单个和批量企业信息的输入与结果输出,以及企业信息可视化,主要使用了Bootstrap、Django与PyEcharts。 10 | 11 | ![首页](homepage.png) 12 | ![可视化分析](visualize.png) 13 | 14 | ## 目录 15 | - [易企|僵尸企业分类系统](#易企僵尸企业分类系统) 16 | - [目录](#目录) 17 | - [安装](#安装) 18 | - [赛题数据](#赛题数据) 19 | - [依赖](#依赖) 20 | - [使用](#使用) 21 | - [机器学习部分](#机器学习部分) 22 | - [Web端](#web端) 23 | - [项目整体结构](#项目整体结构) 24 | - [参考](#参考) 25 | - [License](#license) 26 | 27 | ## 安装 28 | ### 赛题数据 29 | [下载](http://www.fwwb.org.cn/attached/file/20200103/20200103095031_187.rar) 30 | 31 | ### 依赖 32 | - Python >= 3.7 33 | - Pandas >= 1.0.0 34 | - Numpy >= 1.17.0 35 | - joblib >= 0.14.1 36 | - Scikit-learn >= 0.22.1 37 | - matplotlib >= 3.1.2 38 | - xgboost >= 1.0.2 39 | - Django >= 3.0.4 40 | - PyEcharts >= 1.7.1 41 | 42 | ## 使用 43 | ### 机器学习部分 44 | data_merge.ipynb是将企业提供的训练集和验证集合并以重新划分,data_process.ipynb是数据预处理与特征工程,data_train.ipynb包含了网格搜索参数调优与多模型加权投票融合,遗传算法确定权重,data_iter.ipynb是数据融合,CompanyClassifier.ipynb包含了最终封装好的企业分类模型。详细内容请参考项目技术文档。 45 | 46 | ### Web端 47 | 进入webclassifier目录下,命令行运行: 48 | ```shell 49 | python manage.py runserver 50 | ``` 51 | 访问localhost:8000即可。 52 | 53 | ## 项目整体结构 54 | ![architecture](architecture.png) 55 | 56 | ## 参考 57 | - 2020年第十一届中国大学生服务外包创新创业大赛:http://www.fwwb.org.cn/news/show/278 58 | - 邹蕴涵. 我国僵尸企业的判别, 影响及对策建议[J]. 中国物价, 2016 (7): 80-82. 59 | - 李霄阳, 瞿强. 中国僵尸企业: 识别与分类[J]. 国际金融研究, 2017, 364(8): 3-13. 60 | - 黄少卿, 陈彦. 中国僵尸企业的分布特征与分类处置[J]. 中国工业经济, 2017, 3: 24-43. 61 | - 周琎, 冼国明, 明秀南. 僵尸企业的识别与预警—来自中国上市公司的证据[J]. 财经研究, 2018, 44(4): 130-142. 62 | - 栾甫贵, 刘梅. 僵尸企业僵尸指数的构建及应用研究[J]. 经济与管理研究, 2018 (6): 12. 63 | 64 | ## License 65 | [GPL](https://github.com/Bil369/YiQi-ZombieCompanyClassifier/blob/master/LICENSE) © [Bil369](https://github.com/Bil369) 66 | -------------------------------------------------------------------------------- /webclassifier/classifier/static/css/carousel.css: -------------------------------------------------------------------------------- 1 | /* GLOBAL STYLES 2 | -------------------------------------------------- */ 3 | /* Padding below the footer and lighter body text */ 4 | 5 | body { 6 | padding-bottom: 40px; 7 | color: #5a5a5a; 8 | } 9 | 10 | 11 | /* CUSTOMIZE THE NAVBAR 12 | -------------------------------------------------- */ 13 | 14 | /* Special class on .container surrounding .navbar, used for positioning it into place. */ 15 | .navbar-wrapper { 16 | position: absolute; 17 | top: 0; 18 | right: 0; 19 | left: 0; 20 | z-index: 20; 21 | } 22 | 23 | /* Flip around the padding for proper display in narrow viewports */ 24 | .navbar-wrapper > .container { 25 | padding-right: 0; 26 | padding-left: 0; 27 | } 28 | .navbar-wrapper .navbar { 29 | padding-right: 15px; 30 | padding-left: 15px; 31 | } 32 | .navbar-wrapper .navbar .container { 33 | width: auto; 34 | } 35 | 36 | 37 | /* CUSTOMIZE THE CAROUSEL 38 | -------------------------------------------------- */ 39 | 40 | /* Carousel base class */ 41 | .carousel { 42 | height: 500px; 43 | margin-bottom: 60px; 44 | } 45 | /* Since positioning the image, we need to help out the caption */ 46 | .carousel-caption { 47 | z-index: 10; 48 | } 49 | 50 | /* Declare heights because of positioning of img element */ 51 | .carousel .item { 52 | height: 500px; 53 | background-color: #777; 54 | } 55 | .carousel-inner > .item > img { 56 | position: absolute; 57 | top: 0; 58 | left: 0; 59 | min-width: 100%; 60 | height: 500px; 61 | } 62 | 63 | 64 | /* MARKETING CONTENT 65 | -------------------------------------------------- */ 66 | 67 | /* Center align the text within the three columns below the carousel */ 68 | .marketing .col-lg-4 { 69 | margin-bottom: 20px; 70 | text-align: center; 71 | } 72 | .marketing h2 { 73 | font-weight: normal; 74 | } 75 | .marketing .col-lg-4 p { 76 | margin-right: 10px; 77 | margin-left: 10px; 78 | } 79 | 80 | 81 | /* Featurettes 82 | ------------------------- */ 83 | 84 | .featurette-divider { 85 | margin: 80px 0; /* Space out the Bootstrap
more */ 86 | } 87 | 88 | /* Thin out the marketing headings */ 89 | .featurette-heading { 90 | font-weight: 300; 91 | line-height: 1; 92 | letter-spacing: -1px; 93 | } 94 | 95 | 96 | /* RESPONSIVE CSS 97 | -------------------------------------------------- */ 98 | 99 | @media (min-width: 768px) { 100 | /* Navbar positioning foo */ 101 | .navbar-wrapper { 102 | margin-top: 20px; 103 | } 104 | .navbar-wrapper .container { 105 | padding-right: 15px; 106 | padding-left: 15px; 107 | } 108 | .navbar-wrapper .navbar { 109 | padding-right: 0; 110 | padding-left: 0; 111 | } 112 | 113 | /* The navbar becomes detached from the top, so we round the corners */ 114 | .navbar-wrapper .navbar { 115 | border-radius: 4px; 116 | } 117 | 118 | /* Bump up size of carousel content */ 119 | .carousel-caption p { 120 | margin-bottom: 20px; 121 | font-size: 21px; 122 | line-height: 1.4; 123 | } 124 | 125 | .featurette-heading { 126 | font-size: 50px; 127 | } 128 | } 129 | 130 | @media (min-width: 992px) { 131 | .featurette-heading { 132 | margin-top: 120px; 133 | } 134 | } 135 | -------------------------------------------------------------------------------- /webclassifier/webclassifier/settings.py: -------------------------------------------------------------------------------- 1 | """ 2 | Django settings for webclassifier project. 3 | 4 | Generated by 'django-admin startproject' using Django 3.0.4. 5 | 6 | For more information on this file, see 7 | https://docs.djangoproject.com/en/3.0/topics/settings/ 8 | 9 | For the full list of settings and their values, see 10 | https://docs.djangoproject.com/en/3.0/ref/settings/ 11 | """ 12 | 13 | import os 14 | 15 | # Build paths inside the project like this: os.path.join(BASE_DIR, ...) 16 | BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) 17 | 18 | 19 | # Quick-start development settings - unsuitable for production 20 | # See https://docs.djangoproject.com/en/3.0/howto/deployment/checklist/ 21 | 22 | # SECURITY WARNING: keep the secret key used in production secret! 23 | SECRET_KEY = '#9n9+iin5a7vkb%=0$_a#3oy&pp$lw0g7$%tnf0taa=(p2g^_^' 24 | 25 | # SECURITY WARNING: don't run with debug turned on in production! 26 | DEBUG = True 27 | 28 | ALLOWED_HOSTS = [] 29 | 30 | 31 | # Application definition 32 | 33 | INSTALLED_APPS = [ 34 | 'django.contrib.admin', 35 | 'django.contrib.auth', 36 | 'django.contrib.contenttypes', 37 | 'django.contrib.sessions', 38 | 'django.contrib.messages', 39 | 'django.contrib.staticfiles', 40 | 'classifier.apps.ClassifierConfig', 41 | ] 42 | 43 | MIDDLEWARE = [ 44 | 'django.middleware.security.SecurityMiddleware', 45 | 'django.contrib.sessions.middleware.SessionMiddleware', 46 | 'django.middleware.common.CommonMiddleware', 47 | 'django.middleware.csrf.CsrfViewMiddleware', 48 | 'django.contrib.auth.middleware.AuthenticationMiddleware', 49 | 'django.contrib.messages.middleware.MessageMiddleware', 50 | 'django.middleware.clickjacking.XFrameOptionsMiddleware', 51 | ] 52 | 53 | ROOT_URLCONF = 'webclassifier.urls' 54 | 55 | TEMPLATES = [ 56 | { 57 | 'BACKEND': 'django.template.backends.django.DjangoTemplates', 58 | 'DIRS': [], 59 | 'APP_DIRS': True, 60 | 'OPTIONS': { 61 | 'context_processors': [ 62 | 'django.template.context_processors.debug', 63 | 'django.template.context_processors.request', 64 | 'django.contrib.auth.context_processors.auth', 65 | 'django.contrib.messages.context_processors.messages', 66 | ], 67 | }, 68 | }, 69 | ] 70 | 71 | WSGI_APPLICATION = 'webclassifier.wsgi.application' 72 | 73 | 74 | # Database 75 | # https://docs.djangoproject.com/en/3.0/ref/settings/#databases 76 | 77 | DATABASES = { 78 | 'default': { 79 | 'ENGINE': 'django.db.backends.sqlite3', 80 | 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), 81 | } 82 | } 83 | 84 | 85 | # Password validation 86 | # https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators 87 | 88 | AUTH_PASSWORD_VALIDATORS = [ 89 | { 90 | 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', 91 | }, 92 | { 93 | 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', 94 | }, 95 | { 96 | 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', 97 | }, 98 | { 99 | 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', 100 | }, 101 | ] 102 | 103 | 104 | # Internationalization 105 | # https://docs.djangoproject.com/en/3.0/topics/i18n/ 106 | 107 | LANGUAGE_CODE = 'zh-hans' 108 | 109 | TIME_ZONE = 'Asia/Shanghai' 110 | 111 | USE_I18N = True 112 | 113 | USE_L10N = True 114 | 115 | USE_TZ = True 116 | 117 | 118 | # Static files (CSS, JavaScript, Images) 119 | # https://docs.djangoproject.com/en/3.0/howto/static-files/ 120 | 121 | STATIC_URL = '/static/' 122 | -------------------------------------------------------------------------------- /webclassifier/classifier/templates/multiple_result.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 易企|僵尸企业分类系统 8 | 9 | {% load static %} 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | {% load static %} 20 | 21 | 22 | 23 | 25 | 26 | 58 | 59 |
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企业分类结果已生成!

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下载结果文件(.csv)

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93 | 94 | 95 | 96 | -------------------------------------------------------------------------------- /webclassifier/classifier/templates/single_result.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 易企|僵尸企业分类系统 8 | 9 | {% load static %} 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | {% load static %} 20 | 21 | 22 | 23 | 25 | 26 | 58 | 59 |
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企业分类结果已生成!

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企业ID:{{ company_id }}

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分类结果:{% if pred %}僵尸企业{% else %}非僵尸企业{% endif %}

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可视化分析 返回首页

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96 | 97 | 98 | 99 | -------------------------------------------------------------------------------- /webclassifier/classifier/templates/single_result_visualize_year.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 易企|僵尸企业分类系统 8 | 9 | {% load static %} 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | {% load static %} 20 | 21 | 22 | 23 | 25 | 26 | 58 | 59 |
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企业年报数据

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86 | {{ bar_zichan | safe }} 87 | {{ l_yingshou | safe }} 88 | {{ p_yingshou | safe }} 89 | {{ bar_lirun | safe }} 90 | {{ l_nashui | safe }} 91 |
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108 | 109 | 110 | 111 | -------------------------------------------------------------------------------- /webclassifier/classifier/templates/single_result_visualize_money.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 易企|僵尸企业分类系统 8 | 9 | {% load static %} 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | {% load static %} 20 | 21 | 22 | 23 | 25 | 26 | 58 | 59 |
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企业融资数据

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86 | {{ c_overview | safe}} 87 | {{ bar_chengben | safe }} 88 | {{ bar_edu | safe }} 89 | {{ c_chengben | safe }} 90 | {{ c_edu | safe }} 91 | {{ c_eduoverchengben | safe }} 92 |
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109 | 110 | 111 | 112 | -------------------------------------------------------------------------------- /webclassifier/classifier/templates/single_upload.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 易企|僵尸企业分类系统 8 | 9 | {% load static %} 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | {% load static %} 20 | 21 | 22 | 23 | 25 | 26 | 58 | 59 |
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110 | 111 | 112 | 113 | -------------------------------------------------------------------------------- /webclassifier/classifier/templates/multiple_upload.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 易企|僵尸企业分类系统 8 | 9 | {% load static %} 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | {% load static %} 20 | 21 | 22 | 23 | 25 | 26 | 58 | 59 |
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110 | 111 | 112 | 113 | -------------------------------------------------------------------------------- /webclassifier/classifier/forms.py: -------------------------------------------------------------------------------- 1 | from django import forms 2 | 3 | class UploadForm(forms.Form): 4 | base_test_sum = forms.FileField(label='企业基本信息', required=True) 5 | knowledge_test_sum = forms.FileField(label='知识产权数据', required=True) 6 | money_report_test_sum = forms.FileField(label='融资数据', required=True) 7 | year_report_test_sum = forms.FileField(label='年报数据', required=True) 8 | 9 | class SingleDataInputForm(forms.Form): 10 | company_id = forms.IntegerField(label='企业ID', required=True) 11 | zhuce_time = forms.IntegerField(label='注册时间', required=False) 12 | zhuce_ziben = forms.FloatField(label='注册资本', required=False) 13 | HANGYE_CHOICES = (('UN', '未知'), ('JT', '交通运输业'), ('SY', '商业服务业'), ('GY', '工业'), ('FW', '服务业'), 14 | ('SQ', '社区服务'), ('LS', '零售业')) 15 | hangye = forms.TypedChoiceField(label='行业', required=False, choices=HANGYE_CHOICES, coerce=lambda x: str(x)) 16 | QUYU_CHOICES = (('UN', '未知'), ('SD', '山东'), ('GD', '广东'), ('GX', '广西'), ('JX', '江西'), ('HB', '湖北'), 17 | ('HN', '湖南'), ('FJ', '福建')) 18 | quyu = forms.TypedChoiceField(label='区域', required=False, choices=QUYU_CHOICES, coerce=lambda x: str(x)) 19 | QIYELEIXING_CHOICES = (('UN', '未知'), ('NM', '农民专业合作社'), ('HH', '合伙企业'), ('YX', '有限责任公司'), 20 | ('GF', '股份有限公司'), ('JT', '集体所有制企业')) 21 | qiyeleixing = forms.TypedChoiceField(label='企业类型', required=False, choices=QIYELEIXING_CHOICES, coerce=lambda x: str(x)) 22 | KONGZHIREN_CHOICES = (('UN', '未知'), ('QY', '企业法人'), ('ZR', '自然人')) 23 | kongzhiren_leixing = forms.TypedChoiceField(label='控制人类型', required=False, choices=KONGZHIREN_CHOICES, coerce=lambda x: str(x)) 24 | kongzhiren_chigubili = forms.FloatField(label='控制人持股比例', required=False) 25 | 26 | zhuanli = forms.TypedChoiceField(label='专利', required=False, choices=(('UN', '未知'), ('Y', '有'), ('N', '无'))) 27 | shangbiao = forms.TypedChoiceField(label='商标', required=False, choices=(('UN', '未知'), ('Y', '有'), ('N', '无'))) 28 | zhuzuoquan = forms.TypedChoiceField(label='著作权', required=False, choices=(('UN', '未知'), ('Y', '有'), ('N', '无'))) 29 | 30 | zhaiquan_chengben1 = forms.FloatField(label='债权融资成本1', required=False) 31 | zhaiquan_edu1 = forms.FloatField(label='债权融资额度1', required=False) 32 | zhaiquan_chengben2 = forms.FloatField(label='债权融资成本2', required=False) 33 | zhaiquan_edu2 = forms.FloatField(label='债权融资额度2', required=False) 34 | zhaiquan_chengben3 = forms.FloatField(label='债权融资成本3', required=False) 35 | zhaiquan_edu3 = forms.FloatField(label='债权融资额度3', required=False) 36 | guquan_chengben1 = forms.FloatField(label='股权融资成本1', required=False) 37 | guquan_edu1 = forms.FloatField(label='股权融资额度1', required=False) 38 | guquan_chengben2 = forms.FloatField(label='股权融资成本2', required=False) 39 | guquan_edu2 = forms.FloatField(label='股权融资额度2', required=False) 40 | guquan_chengben3 = forms.FloatField(label='股权融资成本3', required=False) 41 | guquan_edu3 = forms.FloatField(label='股权融资额度3', required=False) 42 | neibu_chengben1 = forms.FloatField(label='内部融资和贸易融资成本1', required=False) 43 | neibu_edu1 = forms.FloatField(label='内部融资和贸易融资额度1', required=False) 44 | neibu_chengben2 = forms.FloatField(label='内部融资和贸易融资成本2', required=False) 45 | neibu_edu2 = forms.FloatField(label='内部融资和贸易融资额度2', required=False) 46 | neibu_chengben3 = forms.FloatField(label='内部融资和贸易融资成本3', required=False) 47 | neibu_edu3 = forms.FloatField(label='内部融资和贸易融资额度3', required=False) 48 | xiangmu_chengben1 = forms.FloatField(label='项目融资和政策融资成本1', required=False) 49 | xiangmu_edu1 = forms.FloatField(label='项目融资和政策融资额度1', required=False) 50 | xiangmu_chengben2 = forms.FloatField(label='项目融资和政策融资成本2', required=False) 51 | xiangmu_edu2 = forms.FloatField(label='项目融资和政策融资额度2', required=False) 52 | xiangmu_chengben3 = forms.FloatField(label='项目融资和政策融资成本3', required=False) 53 | xiangmu_edu3 = forms.FloatField(label='项目融资和政策融资额度3', required=False) 54 | 55 | congyerenshu1 = forms.IntegerField(label='从业人数1', required=False) 56 | congyerenshu2 = forms.IntegerField(label='从业人数2', required=False) 57 | congyerenshu3 = forms.IntegerField(label='从业人数3', required=False) 58 | zichanzonge1 = forms.FloatField(label='资产总额1', required=False) 59 | zichanzonge2 = forms.FloatField(label='资产总额2', required=False) 60 | zichanzonge3 = forms.FloatField(label='资产总额3', required=False) 61 | fuzhaizonge1 = forms.FloatField(label='负债总额1', required=False) 62 | fuzhaizonge2 = forms.FloatField(label='负债总额2', required=False) 63 | fuzhaizonge3 = forms.FloatField(label='负债总额3', required=False) 64 | yingshou1 = forms.FloatField(label='营业总收入1', required=False) 65 | yingshou2 = forms.FloatField(label='营业总收入2', required=False) 66 | yingshou3 = forms.FloatField(label='营业总收入3', required=False) 67 | zhuyingshou1 = forms.FloatField(label='主营业务收入1', required=False) 68 | zhuyingshou2 = forms.FloatField(label='主营业务收入2', required=False) 69 | zhuyingshou3 = forms.FloatField(label='主营业务收入3', required=False) 70 | lirun1 = forms.FloatField(label='利润总额1', required=False) 71 | lirun2 = forms.FloatField(label='利润总额2', required=False) 72 | lirun3 = forms.FloatField(label='利润总额3', required=False) 73 | jinglirun1 = forms.FloatField(label='净利润1', required=False) 74 | jinglirun2 = forms.FloatField(label='净利润2', required=False) 75 | jinglirun3 = forms.FloatField(label='净利润3', required=False) 76 | nashui1 = forms.FloatField(label='纳税总额1', required=False) 77 | nashui2 = forms.FloatField(label='纳税总额2', required=False) 78 | nashui3 = forms.FloatField(label='纳税总额3', required=False) 79 | suoyouzhe1 = forms.FloatField(label='所有者权益合计1', required=False) 80 | suoyouzhe2 = forms.FloatField(label='所有者权益合计2', required=False) 81 | suoyouzhe3 = forms.FloatField(label='所有者权益合计3', required=False) 82 | 83 | 84 | 85 | 86 | -------------------------------------------------------------------------------- /webclassifier/classifier/templates/single_result_visualize_base.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 易企|僵尸企业分类系统 8 | 9 | {% load static %} 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | {% load static %} 20 | 21 | 22 | 23 | 25 | 26 | 58 | 59 |
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基本信息概览

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企业ID:{{ company_id }}

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分类结果:{% if pred %}僵尸企业{% else %}非僵尸企业{% endif %}

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注册时间:{{ zhuce_time }}

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企业类型:{{ qiyeleixing }}

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控制人持股比例:{{ c_kongzhiren | safe }}

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注册资本:{{ zhuce_ziben }}

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行业:{{ hangye }}

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区域:{{ quyu }}

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控制人类型:{{ kongzhiren_leixing }}

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企业经营状况:{{ r_jingying | safe }}

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知识产权信息

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专利:{% if zhuanli == 1 %}{% elif zhuanli == 0 %}{% else %}未知{% endif %}

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商标:{% if shangbiao == 1 %}{% elif shangbiao == 0 %}{% else %}未知{% endif %}

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著作权:{% if zhuzuoquan == 1 %}{% elif zhuzuoquan == 0 %}{% else %}未知{% endif %}

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137 | 138 | 139 | 140 | -------------------------------------------------------------------------------- /webclassifier/classifier/templates/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 易企|僵尸企业分类系统 8 | 9 | {% load static %} 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | {% load static %} 20 | 21 | 22 | 23 | 25 | 26 | 58 | 59 | 60 | 62 | 115 | 116 | 117 | 119 | 120 | 121 |
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126 | {% load static %} 127 | 单个企业分类 128 |

单个企业分类

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通过手动输入或csv文件上传单个企业信息,我们将给出企业是否可能为僵尸企业的结果,并给出可视化分析报告。

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手动输入 上传文件

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133 | Generic placeholder image 134 |

批量企业分类

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通过csv文件批量上传企业信息,我们将生成相应的csv文件,其中包含每个企业的ID以及是否可能为僵尸企业的结果。

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上传文件

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151 | 152 | 153 | 154 | -------------------------------------------------------------------------------- /webclassifier/classifier/tests.py: -------------------------------------------------------------------------------- 1 | from django.test import TestCase 2 | import os 3 | 4 | # Create your tests here. 5 | 6 | class IndexViewTest(TestCase): 7 | def test_view_url_exists_at_desired_location(self): 8 | resp = self.client.get('/') 9 | self.assertEqual(resp.status_code, 302) 10 | resp = self.client.get('/classifier/') 11 | self.assertEqual(resp.status_code, 200) 12 | 13 | def test_view_uses_correct_template(self): 14 | resp = self.client.get('/classifier/') 15 | self.assertEqual(resp.status_code, 200) 16 | self.assertTemplateUsed(resp, 'index.html') 17 | 18 | class MultipleUploadViewTest(TestCase): 19 | def test_view_url_exists_at_desired_location(self): 20 | resp = self.client.get('/classifier/multiple/upload/') 21 | self.assertEqual(resp.status_code, 200) 22 | 23 | def test_view_uses_correct_template(self): 24 | resp = self.client.get('/classifier/multiple/upload/') 25 | self.assertEqual(resp.status_code, 200) 26 | self.assertTemplateUsed(resp, 'multiple_upload.html') 27 | 28 | def test_view_can_upload_files(self): 29 | base_test_sum = open('../testdata/single/base_test_sum.csv', 'rb+') 30 | knowledge_test_sum = open('../testdata/single/knowledge_test_sum.csv', 'rb+') 31 | money_report_test_sum = open('../testdata/single/money_report_test_sum.csv', 'rb+') 32 | year_report_test_sum = open('../testdata/single/year_report_test_sum.csv', 'rb+') 33 | resp = self.client.post('/classifier/multiple/upload/', data={ 34 | 'base_test_sum': base_test_sum, 35 | 'knowledge_test_sum': knowledge_test_sum, 36 | 'money_report_test_sum': money_report_test_sum, 37 | 'year_report_test_sum': year_report_test_sum 38 | }) 39 | self.assertEqual(resp.status_code, 302) 40 | base_test_sum.close() 41 | knowledge_test_sum.close() 42 | money_report_test_sum.close() 43 | year_report_test_sum.close() 44 | self.assertTrue(os.path.exists('classifier/upload/base_test_sum.csv')) 45 | self.assertTrue(os.path.exists('classifier/upload/knowledge_test_sum.csv')) 46 | self.assertTrue(os.path.exists('classifier/upload/money_report_test_sum.csv')) 47 | self.assertTrue(os.path.exists('classifier/upload/year_report_test_sum.csv')) 48 | 49 | class MultipleResultViewTest(TestCase): 50 | def test_view_url_exists_at_desired_location(self): 51 | resp = self.client.get('/classifier/multiple/result/') 52 | self.assertEqual(resp.status_code, 200) 53 | 54 | def test_view_uses_correct_template(self): 55 | resp = self.client.get('/classifier/multiple/result/') 56 | self.assertEqual(resp.status_code, 200) 57 | self.assertTemplateUsed(resp, 'multiple_result.html') 58 | 59 | def test_view_can_produce_result(self): 60 | resp = self.client.get('/classifier/multiple/result/') 61 | self.assertEqual(resp.status_code, 200) 62 | self.assertTrue(os.path.exists('classifier/result/result.csv')) 63 | 64 | class MultipleDownloadViewTest(TestCase): 65 | def test_view_url_exists_at_desired_location(self): 66 | resp = self.client.get('/classifier/multiple/download/') 67 | self.assertEqual(resp.status_code, 200) 68 | 69 | class SingleUploadViewTest(TestCase): 70 | def test_view_url_exists_at_desired_location(self): 71 | resp = self.client.get('/classifier/single/upload/') 72 | self.assertEqual(resp.status_code, 200) 73 | 74 | def test_view_uses_correct_template(self): 75 | resp = self.client.get('/classifier/single/upload/') 76 | self.assertEqual(resp.status_code, 200) 77 | self.assertTemplateUsed(resp, 'single_upload.html') 78 | 79 | def test_view_can_upload_files(self): 80 | base_test_sum = open('../testdata/single/base_test_sum.csv', 'rb+') 81 | knowledge_test_sum = open('../testdata/single/knowledge_test_sum.csv', 'rb+') 82 | money_report_test_sum = open('../testdata/single/money_report_test_sum.csv', 'rb+') 83 | year_report_test_sum = open('../testdata/single/year_report_test_sum.csv', 'rb+') 84 | resp = self.client.post('/classifier/single/upload/', data={ 85 | 'base_test_sum': base_test_sum, 86 | 'knowledge_test_sum': knowledge_test_sum, 87 | 'money_report_test_sum': money_report_test_sum, 88 | 'year_report_test_sum': year_report_test_sum 89 | }) 90 | self.assertEqual(resp.status_code, 302) 91 | base_test_sum.close() 92 | knowledge_test_sum.close() 93 | money_report_test_sum.close() 94 | year_report_test_sum.close() 95 | self.assertTrue(os.path.exists('classifier/upload/base_test_sum.csv')) 96 | self.assertTrue(os.path.exists('classifier/upload/knowledge_test_sum.csv')) 97 | self.assertTrue(os.path.exists('classifier/upload/money_report_test_sum.csv')) 98 | self.assertTrue(os.path.exists('classifier/upload/year_report_test_sum.csv')) 99 | 100 | 101 | class SingleInputViewTest(TestCase): 102 | def test_view_url_exists_at_desired_location(self): 103 | resp = self.client.get('/classifier/single/input/') 104 | self.assertEqual(resp.status_code, 200) 105 | 106 | def test_view_uses_correct_template(self): 107 | resp = self.client.get('/classifier/single/input/') 108 | self.assertEqual(resp.status_code, 200) 109 | self.assertTemplateUsed(resp, 'single_input.html') 110 | 111 | def test_view_can_upload_files(self): 112 | resp = self.client.post('/classifier/single/input/', data={ 113 | 'company_id': ['28'], 114 | 'zhuce_time': [''], 115 | 'zhuce_ziben': [''], 116 | 'hangye': ['UN'], 117 | 'quyu': ['UN'], 118 | 'qiyeleixing': ['UN'], 119 | 'kongzhiren_leixing': ['UN'], 120 | 'kongzhiren_chigubili': [''], 121 | 'zhuanli': ['UN'], 122 | 'shangbiao': ['UN'], 123 | 'zhuzuoquan': ['UN'], 124 | 'zhaiquan_chengben1': [''], 125 | 'zhaiquan_chengben2': [''], 126 | 'zhaiquan_chengben3': [''], 127 | 'zhaiquan_edu1': [''], 128 | 'zhaiquan_edu2': [''], 129 | 'zhaiquan_edu3': [''], 130 | 'guquan_chengben1': [''], 131 | 'guquan_chengben2': [''], 132 | 'guquan_chengben3': [''], 133 | 'guquan_edu1': ['', ''], 134 | 'guquan_edu2': [''], 135 | 'neibu_chengben1': [''], 136 | 'neibu_chengben2': [''], 137 | 'neibu_chengben3': [''], 138 | 'neibu_edu1': [''], 139 | 'neibu_edu2': [''], 140 | 'neibu_edu3': [''], 141 | 'xiangmu_chengben1': [''], 142 | 'xiangmu_chengben2': [''], 143 | 'xiangmu_chengben3': [''], 144 | 'xiangmu_edu1': [''], 145 | 'xiangmu_edu2': [''], 146 | 'xiangmu_edu3': [''], 147 | 'congyerenshu1': [''], 148 | 'congyerenshu2': [''], 149 | 'congyerenshu3': [''], 150 | 'zichanzonge1': [''], 151 | 'zichanzonge2': [''], 152 | 'zichanzonge3': [''], 153 | 'fuzhaizonge1': [''], 154 | 'fuzhaizonge2': [''], 155 | 'fuzhaizonge3': [''], 156 | 'yingshou1': [''], 157 | 'yingshou2': [''], 158 | 'yingshou3': [''], 159 | 'zhuyingshou1': [''], 160 | 'zhuyingshou2': [''], 161 | 'zhuyingshou3': [''], 162 | 'lirun1': [''], 163 | 'lirun2': [''], 164 | 'lirun3': [''], 165 | 'jinglirun1': [''], 166 | 'jinglirun2': [''], 167 | 'jinglirun3': [''], 168 | 'nashui1': [''], 169 | 'nashui2': [''], 170 | 'nashui3': [''], 171 | 'suoyouzhe1': [''], 172 | 'suoyouzhe2': [''], 173 | 'suoyouzhe3': [''] 174 | }) 175 | self.assertEqual(resp.status_code, 302) 176 | self.assertTrue(os.path.exists('classifier/upload/base_test_sum.csv')) 177 | self.assertTrue(os.path.exists('classifier/upload/knowledge_test_sum.csv')) 178 | self.assertTrue(os.path.exists('classifier/upload/money_report_test_sum.csv')) 179 | self.assertTrue(os.path.exists('classifier/upload/year_report_test_sum.csv')) 180 | 181 | 182 | class SingleResultViewTest(TestCase): 183 | def test_view_url_exists_at_desired_location(self): 184 | resp = self.client.get('/classifier/single/result/') 185 | self.assertEqual(resp.status_code, 200) 186 | 187 | def test_view_uses_correct_template(self): 188 | resp = self.client.get('/classifier/single/result/') 189 | self.assertEqual(resp.status_code, 200) 190 | self.assertTemplateUsed(resp, 'single_result.html') 191 | 192 | def test_view_can_produce_result(self): 193 | resp = self.client.get('/classifier/single/result/') 194 | self.assertEqual(resp.status_code, 200) 195 | self.assertTrue(os.path.exists('classifier/result/result.csv')) 196 | 197 | class SingleResultVisualizeBaseViewTest(TestCase): 198 | def test_view_url_exists_at_desired_location(self): 199 | resp = self.client.get('/classifier/single/result/visualize/base/') 200 | self.assertEqual(resp.status_code, 200) 201 | 202 | def test_view_uses_correct_template(self): 203 | resp = self.client.get('/classifier/single/result/visualize/base/') 204 | self.assertEqual(resp.status_code, 200) 205 | self.assertTemplateUsed(resp, 'single_result_visualize_base.html') 206 | 207 | class SingleResultVisualizeMoneyViewTest(TestCase): 208 | def test_view_url_exists_at_desired_location(self): 209 | resp = self.client.get('/classifier/single/result/visualize/money/') 210 | self.assertEqual(resp.status_code, 200) 211 | 212 | def test_view_uses_correct_template(self): 213 | resp = self.client.get('/classifier/single/result/visualize/money/') 214 | self.assertEqual(resp.status_code, 200) 215 | self.assertTemplateUsed(resp, 'single_result_visualize_money.html') 216 | 217 | class SingleResultVisualizeYearViewTest(TestCase): 218 | def test_view_url_exists_at_desired_location(self): 219 | resp = self.client.get('/classifier/single/result/visualize/year/') 220 | self.assertEqual(resp.status_code, 200) 221 | 222 | def test_view_uses_correct_template(self): 223 | resp = self.client.get('/classifier/single/result/visualize/year/') 224 | self.assertEqual(resp.status_code, 200) 225 | self.assertTemplateUsed(resp, 'single_result_visualize_year.html') 226 | -------------------------------------------------------------------------------- /webclassifier/classifier/templates/single_input.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 易企|僵尸企业分类系统 8 | 9 | {% load static %} 10 | 11 | 12 | 13 | 14 | 15 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223 | 224 | 225 | 226 | -------------------------------------------------------------------------------- /webclassifier/classifier/algorithm.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import numpy as np 3 | import joblib 4 | 5 | class CompanyClassifier: 6 | 7 | ''' 8 | Input: Four Pandas DataFrame: base_test_sum, knowledge_test_sum, money_report_test_sum, year_report_test_sum 9 | Output: Pandas DataFrame: ID, flag 10 | ''' 11 | 12 | def __init__(self, base_test_sum, knowledge_test_sum, money_report_test_sum, year_report_test_sum): 13 | self.base_test_sum = base_test_sum 14 | self.knowledge_test_sum = knowledge_test_sum 15 | self.money_report_test_sum = money_report_test_sum 16 | self.year_report_test_sum = year_report_test_sum 17 | 18 | self.base_test_sum['ID'] = self.base_test_sum['ID'].astype('int') 19 | self.knowledge_test_sum['ID'] = self.knowledge_test_sum['ID'].astype('int') 20 | self.money_report_test_sum['ID'] = self.money_report_test_sum['ID'].astype('int') 21 | self.year_report_test_sum['ID'] = self.year_report_test_sum['ID'].astype('int') 22 | 23 | def preprocess(self): 24 | base_test_sum = self.base_test_sum 25 | knowledge_test_sum = self.knowledge_test_sum 26 | money_report_test_sum = self.money_report_test_sum 27 | year_report_test_sum = self.year_report_test_sum 28 | condition = year_report_test_sum['资产总额'].isnull() & ~year_report_test_sum['负债总额'].isnull() \ 29 | & ~year_report_test_sum['所有者权益合计'].isnull() 30 | year_report_test_sum.loc[condition, '资产总额'] = year_report_test_sum.loc[condition, '负债总额'] \ 31 | + year_report_test_sum.loc[condition, '所有者权益合计'] 32 | condition = ~year_report_test_sum['资产总额'].isnull() & year_report_test_sum['负债总额'].isnull() \ 33 | & ~year_report_test_sum['所有者权益合计'].isnull() 34 | year_report_test_sum.loc[condition, '负债总额'] = year_report_test_sum.loc[condition, '资产总额'] \ 35 | - year_report_test_sum.loc[condition, '所有者权益合计'] 36 | condition = ~year_report_test_sum['资产总额'].isnull() & ~year_report_test_sum['负债总额'].isnull() \ 37 | & year_report_test_sum['所有者权益合计'].isnull() 38 | year_report_test_sum.loc[condition, '所有者权益合计'] = year_report_test_sum.loc[condition, '资产总额'] \ 39 | - year_report_test_sum.loc[condition, '负债总额'] 40 | 41 | base_test_sum = base_test_sum.fillna({'注册时间': 2002.0, 42 | '注册资本': 5023.133934462283, 43 | '行业': '交通运输业', 44 | '区域': '江西', 45 | '企业类型': '农民专业合作社', 46 | '控制人类型': '企业法人', 47 | '控制人持股比例': 0.7547409850483776}) 48 | knowledge_test_sum = knowledge_test_sum.fillna({'专利': 0, 49 | '商标': 0, 50 | '著作权': 0}) 51 | money_report_test_sum = money_report_test_sum.fillna({'year': 2017.0, 52 | '债权融资额度': 3334.498497772306, 53 | '债权融资成本': 267.0109897520844, 54 | '股权融资额度': 5130.455030707215, 55 | '股权融资成本': 205.22738362924534, 56 | '内部融资和贸易融资额度': 26228.413307054252, 57 | '内部融资和贸易融资成本': 1570.9729908071383, 58 | '项目融资和政策融资额度': 1024.4001114320456, 59 | '项目融资和政策融资成本': 61.52766412986071}) 60 | year_report_test_sum = year_report_test_sum.fillna({'year': 2016.0, 61 | '从业人数': 509, 62 | '资产总额': 135072.24229404208, 63 | '负债总额': 162285.30989636254, 64 | '营业总收入': 344766.79090349167, 65 | '主营业务收入': 206568.3004228836, 66 | '利润总额': 103109.60091887777, 67 | '净利润': 22053.03948918005, 68 | '纳税总额': 75595.39170910012, 69 | '所有者权益合计': -27210.262594444728}) 70 | 71 | year_report_test_sum['纳税/净利'] = year_report_test_sum['纳税总额'] / (year_report_test_sum['净利润'] + 1) 72 | year_report_test_sum['负债/资产'] = year_report_test_sum['负债总额'] / (year_report_test_sum['资产总额'] + 1) 73 | year_report_test_sum['主收/营收'] = year_report_test_sum['主营业务收入'] / (year_report_test_sum['营业总收入'] + 1) 74 | year_report_test_sum['净利/资产'] = year_report_test_sum['净利润'] / (year_report_test_sum['资产总额'] + 1) 75 | year_report_test_sum['净利/营收'] = year_report_test_sum['净利润'] / (year_report_test_sum['营业总收入'] + 1) 76 | year_report_test_sum['纳税/营收'] = year_report_test_sum['纳税总额'] / (year_report_test_sum['营业总收入'] + 1) 77 | money_report_test_sum['融资额度'] = money_report_test_sum['债权融资额度'] + money_report_test_sum['股权融资额度'] +\ 78 | money_report_test_sum['内部融资和贸易融资额度'] + money_report_test_sum['项目融资和政策融资额度'] 79 | year_report_test_sum['利润/营收'] = year_report_test_sum['利润总额'] / (year_report_test_sum['营业总收入'] + 1) 80 | year_report_test_sum['净利/利润'] = year_report_test_sum['净利润'] / (year_report_test_sum['利润总额'] + 1) 81 | year_report_test_sum['所得税'] = year_report_test_sum['利润总额'] - year_report_test_sum['净利润'] 82 | year_report_test_sum['所得税/纳税'] = year_report_test_sum['所得税'] / (year_report_test_sum['纳税总额'] + 1) 83 | year_report_test_sum['净利/负债'] = year_report_test_sum['净利润'] / (year_report_test_sum['负债总额'] + 1) 84 | year_report_test_sum['纳税/负债'] = year_report_test_sum['纳税总额'] / (year_report_test_sum['负债总额'] + 1) 85 | year_report_test_sum['负债/所有者'] = year_report_test_sum['负债总额'] / (year_report_test_sum['所有者权益合计'] + 1) 86 | year_report_test_sum['费用'] = year_report_test_sum['营业总收入'] - year_report_test_sum['利润总额'] 87 | year_report_test_sum['费用/营收'] = year_report_test_sum['费用'] / (year_report_test_sum['营业总收入'] + 1) 88 | year_report_test_sum['利润/费用'] = year_report_test_sum['利润总额'] / (year_report_test_sum['费用'] + 1) 89 | year_report_test_sum['净利/融资额度'] = year_report_test_sum['净利润'] / (money_report_test_sum['融资额度'] + 1) 90 | year_report_test_sum['纳税/融资额度'] = year_report_test_sum['纳税总额'] / (money_report_test_sum['融资额度'] + 1) 91 | year_report_test_sum['营收/资产'] = year_report_test_sum['营业总收入'] / (year_report_test_sum['资产总额'] + 1) 92 | year_report_test_sum['所有者/资产'] = year_report_test_sum['所有者权益合计'] / (year_report_test_sum['资产总额'] + 1) 93 | year_report_test_sum['净利/所有者'] = year_report_test_sum['净利润'] / (year_report_test_sum['所有者权益合计'] + 1) 94 | year_report_test_sum['政策/净利'] = money_report_test_sum['项目融资和政策融资额度'] / (year_report_test_sum['净利润'] + 1) 95 | year_report_test_sum['融资/负债'] = money_report_test_sum['融资额度'] / (year_report_test_sum['负债总额'] + 1) 96 | year_report_test_sum['政策/负债'] = money_report_test_sum['项目融资和政策融资额度'] / (year_report_test_sum['负债总额'] + 1) 97 | year_report_test_sum['接受补助'] = [0] * len(year_report_test_sum) 98 | condition = ((year_report_test_sum['政策/净利'] < -0.5) | (year_report_test_sum['政策/净利'] > 1)) & (year_report_test_sum['负债/资产'] > 0.5) 99 | year_report_test_sum.loc[condition, '接受补助'] = 1 100 | 101 | def jinglijudge(x): 102 | if len(x) == 3: 103 | return int(x.iloc[0] < 0 and x.iloc[1] < 0 and x.iloc[2] < 0) 104 | elif len(x) == 2: 105 | return int(x.iloc[0] < 0 and x.iloc[1] < 0) 106 | elif len(x) == 1: 107 | return int(x.iloc[0] < 0) 108 | year_report_groupby_sum1 = pd.DataFrame(year_report_test_sum['净利润'].groupby(year_report_test_sum['ID']).apply(jinglijudge).reset_index()) 109 | year_report_groupby_sum1.columns = ['ID', '净三小0'] 110 | year_report_groupby_sum7 = year_report_test_sum.groupby('ID').mean().reset_index().drop('year', axis=1) 111 | newcol = [] 112 | for i in range(len(year_report_groupby_sum7.columns)): 113 | if i == 0: 114 | newcol.append(year_report_groupby_sum7.columns[i]) 115 | continue 116 | newcol.append(year_report_groupby_sum7.columns[i] + '_mean') 117 | year_report_groupby_sum7.columns = newcol 118 | year_report_groupby_sum8 = year_report_test_sum.groupby('ID').min().reset_index().drop('year', axis=1) 119 | newcol = [] 120 | for i in range(len(year_report_groupby_sum8.columns)): 121 | if i == 0: 122 | newcol.append(year_report_groupby_sum8.columns[i]) 123 | continue 124 | newcol.append(year_report_groupby_sum8.columns[i] + '_min') 125 | year_report_groupby_sum8.columns = newcol 126 | year_report_groupby_sum9 = year_report_test_sum.groupby('ID').max().reset_index().drop('year', axis=1) 127 | newcol = [] 128 | for i in range(len(year_report_groupby_sum9.columns)): 129 | if i == 0: 130 | newcol.append(year_report_groupby_sum9.columns[i]) 131 | continue 132 | newcol.append(year_report_groupby_sum9.columns[i] + '_max') 133 | year_report_groupby_sum9.columns = newcol 134 | year_report_groupby_sum10 = year_report_test_sum.groupby('ID').std().reset_index().drop('year', axis=1) 135 | newcol = [] 136 | for i in range(len(year_report_groupby_sum10.columns)): 137 | if i == 0: 138 | newcol.append(year_report_groupby_sum10.columns[i]) 139 | continue 140 | newcol.append(year_report_groupby_sum10.columns[i] + '_std') 141 | year_report_groupby_sum10.columns = newcol 142 | def growth(x): 143 | x.drop('ID', axis=1, inplace=True) 144 | res = ((x.iloc[1] - x.iloc[0]) / (x.iloc[0] + 1) + (x.iloc[2] - x.iloc[1]) / (x.iloc[1] + 1)) / 2 145 | return res 146 | year_report_groupby_sum11 = year_report_test_sum[['ID', '从业人数', '资产总额', '负债总额', '营业总收入', '主营业务收入', 147 | '利润总额', '净利润', '纳税总额', '所有者权益合计', '负债/资产', 148 | '负债/所有者', '所有者/资产', '净利/所有者', '政策/净利']].groupby('ID').apply(growth).reset_index() 149 | newcol = [] 150 | for i in range(len(year_report_groupby_sum11.columns)): 151 | if i == 0: 152 | newcol.append(year_report_groupby_sum11.columns[i]) 153 | continue 154 | newcol.append(year_report_groupby_sum11.columns[i] + '_growth') 155 | year_report_groupby_sum11.columns = newcol 156 | year_report_groupby_sum = pd.merge(year_report_groupby_sum1, year_report_groupby_sum7, on='ID', how='left') 157 | year_report_groupby_sum = pd.merge(year_report_groupby_sum, year_report_groupby_sum8, on='ID', how='left') 158 | year_report_groupby_sum = pd.merge(year_report_groupby_sum, year_report_groupby_sum9, on='ID', how='left') 159 | year_report_groupby_sum = pd.merge(year_report_groupby_sum, year_report_groupby_sum10, on='ID', how='left') 160 | year_report_groupby_sum = pd.merge(year_report_groupby_sum, year_report_groupby_sum11, on='ID', how='left') 161 | 162 | money_report_groupby_sum1 = money_report_test_sum.groupby('ID').mean().reset_index().drop('year', axis=1) 163 | newcol = [] 164 | for i in range(len(money_report_groupby_sum1.columns)): 165 | if i == 0: 166 | newcol.append(money_report_groupby_sum1.columns[i]) 167 | continue 168 | newcol.append(money_report_groupby_sum1.columns[i] + '_mean') 169 | money_report_groupby_sum1.columns = newcol 170 | money_report_groupby_sum2 = money_report_test_sum.groupby('ID').max().reset_index().drop('year', axis=1) 171 | newcol = [] 172 | for i in range(len(money_report_groupby_sum2.columns)): 173 | if i == 0: 174 | newcol.append(money_report_groupby_sum2.columns[i]) 175 | continue 176 | newcol.append(money_report_groupby_sum2.columns[i] + '_max') 177 | money_report_groupby_sum2.columns = newcol 178 | money_report_groupby_sum3 = money_report_test_sum.groupby('ID').min().reset_index().drop('year', axis=1) 179 | newcol = [] 180 | for i in range(len(money_report_groupby_sum3.columns)): 181 | if i == 0: 182 | newcol.append(money_report_groupby_sum3.columns[i]) 183 | continue 184 | newcol.append(money_report_groupby_sum3.columns[i] + '_min') 185 | money_report_groupby_sum3.columns = newcol 186 | money_report_groupby_sum4 = money_report_test_sum.groupby('ID').std().reset_index().drop('year', axis=1) 187 | newcol = [] 188 | for i in range(len(money_report_groupby_sum4.columns)): 189 | if i == 0: 190 | newcol.append(money_report_groupby_sum4.columns[i]) 191 | continue 192 | newcol.append(money_report_groupby_sum4.columns[i] + '_std') 193 | money_report_groupby_sum4.columns = newcol 194 | money_report_groupby_sum = pd.merge(money_report_groupby_sum1,money_report_groupby_sum2, on='ID', how='left') 195 | money_report_groupby_sum = pd.merge(money_report_groupby_sum,money_report_groupby_sum3, on='ID', how='left') 196 | money_report_groupby_sum = pd.merge(money_report_groupby_sum,money_report_groupby_sum4, on='ID', how='left') 197 | 198 | total_data = pd.merge(base_test_sum, knowledge_test_sum, on='ID', how='left') 199 | total_data = pd.merge(total_data, money_report_groupby_sum, on='ID', how='left') 200 | total_data = pd.merge(total_data, year_report_groupby_sum, on='ID', how='left') 201 | total_data = total_data.fillna(0) 202 | 203 | return total_data 204 | 205 | def predict(self): 206 | data = self.preprocess() 207 | X = data[['净三小0', '净利润_mean', '纳税总额_mean', '纳税/净利_mean', '净利/资产_mean', '净利/营收_mean', 208 | '纳税/营收_mean', '净利/利润_mean', '净利/负债_mean', '纳税/负债_mean', '纳税/融资额度_mean', 209 | '纳税/净利_min', '所得税_min', '所得税/纳税_min', '净利润_max', '纳税总额_max', '纳税/净利_max', 210 | '净利/资产_max', '净利/营收_max', '纳税/营收_max', '净利/利润_max', '净利/负债_max', '纳税/负债_max', 211 | '净利/融资额度_max', '纳税/融资额度_max', '融资/负债_max', '纳税总额_std', '纳税/净利_std', 212 | '净利/营收_std', '纳税/营收_std', '所得税/纳税_std', '纳税/负债_std', '纳税/融资额度_std', 213 | '净利/所有者_mean', '政策/净利_mean', '融资/负债_mean' ,'政策/负债_mean', '接受补助_mean', 214 | '从业人数_min', '资产总额_min', '负债总额_min', '营业总收入_min', '主营业务收入_min', '利润总额_min', 215 | '净利润_min', '纳税总额_min', '所有者权益合计_min', '负债/资产_min', '主收/营收_min', '净利/资产_min', 216 | '净利/营收_min', '纳税/营收_min', '利润/营收_min', '净利/利润_min', '净利/负债_min', '纳税/负债_min', 217 | '负债/所有者_min', '费用_min', '费用/营收_min', '利润/费用_min', '净利/融资额度_min', 218 | '纳税/融资额度_min', '营收/资产_min', '所有者/资产_min', '净利/所有者_min', '政策/净利_min', 219 | '融资/负债_min', '政策/负债_min', '接受补助_min', '资产总额_max', '负债总额_max', '营业总收入_max', 220 | '主营业务收入_max','利润总额_max', '所有者权益合计_max', '负债/资产_max', '主收/营收_max', 221 | '利润/营收_max', '所得税_max', '所得税/纳税_max', '负债/所有者_max', '费用_max', '费用/营收_max', 222 | '利润/费用_max', '营收/资产_max', '所有者/资产_max', '净利/所有者_max', '政策/净利_max', 223 | '政策/负债_max', '接受补助_max', '从业人数_std', '资产总额_std', '负债总额_std', '营业总收入_std', 224 | '主营业务收入_std', '利润总额_std', '净利润_std', '所有者权益合计_std', '负债/资产_std', '主收/营收_std', 225 | '净利/资产_std', '利润/营收_std', '净利/利润_std', '所得税_std', '净利/负债_std', '负债/所有者_std', '费用_std', 226 | '费用/营收_std', '利润/费用_std', '净利/融资额度_std', '营收/资产_std', '所有者/资产_std', 227 | '净利/所有者_std', '政策/净利_std', '融资/负债_std', '政策/负债_std', '接受补助_std', '从业人数_growth', 228 | '资产总额_growth', '负债总额_growth', '营业总收入_growth', '主营业务收入_growth', '利润总额_growth', 229 | '净利润_growth', '纳税总额_growth', '所有者权益合计_growth', '负债/资产_growth', '负债/所有者_growth', 230 | '所有者/资产_growth', '净利/所有者_growth', '政策/净利_growth' 231 | ]] 232 | eclf = joblib.load('classifier/eclf.joblib') 233 | y_pred = eclf.predict(X) 234 | 235 | return pd.DataFrame({'ID': data['ID'], 'flag': y_pred}) -------------------------------------------------------------------------------- /machinelearning/CompanyClassifier.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 27, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "import pandas as pd\n", 10 | "import numpy as np\n", 11 | "import joblib" 12 | ] 13 | }, 14 | { 15 | "cell_type": "code", 16 | "execution_count": 31, 17 | "metadata": {}, 18 | "outputs": [], 19 | "source": [ 20 | "class CompanyClassifier:\n", 21 | " \n", 22 | " '''\n", 23 | " Input: Four Pandas DataFrame: base_test_sum, knowledge_test_sum, money_report_test_sum, year_report_test_sum\n", 24 | " Output: Pandas DataFrame: ID, flag\n", 25 | " '''\n", 26 | " \n", 27 | " def __init__(self, base_test_sum, knowledge_test_sum, money_report_test_sum, year_report_test_sum):\n", 28 | " self.base_test_sum = base_test_sum\n", 29 | " self.knowledge_test_sum = knowledge_test_sum\n", 30 | " self.money_report_test_sum = money_report_test_sum\n", 31 | " self.year_report_test_sum = year_report_test_sum\n", 32 | " \n", 33 | " self.base_test_sum['ID'] = self.base_test_sum['ID'].astype('int')\n", 34 | " self.knowledge_test_sum['ID'] = self.knowledge_test_sum['ID'].astype('int')\n", 35 | " self.money_report_test_sum['ID'] = self.money_report_test_sum['ID'].astype('int')\n", 36 | " self.year_report_test_sum['ID'] = self.year_report_test_sum['ID'].astype('int')\n", 37 | " \n", 38 | " def preprocess(self):\n", 39 | " base_test_sum = self.base_test_sum\n", 40 | " knowledge_test_sum = self.knowledge_test_sum\n", 41 | " money_report_test_sum = self.money_report_test_sum\n", 42 | " year_report_test_sum = self.year_report_test_sum\n", 43 | " condition = year_report_test_sum['资产总额'].isnull() & ~year_report_test_sum['负债总额'].isnull() \\\n", 44 | " & ~year_report_test_sum['所有者权益合计'].isnull()\n", 45 | " year_report_test_sum.loc[condition, '资产总额'] = year_report_test_sum.loc[condition, '负债总额'] \\\n", 46 | " + year_report_test_sum.loc[condition, '所有者权益合计']\n", 47 | " condition = ~year_report_test_sum['资产总额'].isnull() & year_report_test_sum['负债总额'].isnull() \\\n", 48 | " & ~year_report_test_sum['所有者权益合计'].isnull()\n", 49 | " year_report_test_sum.loc[condition, '负债总额'] = year_report_test_sum.loc[condition, '资产总额'] \\\n", 50 | " - year_report_test_sum.loc[condition, '所有者权益合计']\n", 51 | " condition = ~year_report_test_sum['资产总额'].isnull() & ~year_report_test_sum['负债总额'].isnull() \\\n", 52 | " & year_report_test_sum['所有者权益合计'].isnull()\n", 53 | " year_report_test_sum.loc[condition, '所有者权益合计'] = year_report_test_sum.loc[condition, '资产总额'] \\\n", 54 | " - year_report_test_sum.loc[condition, '负债总额']\n", 55 | " \n", 56 | " base_test_sum = base_test_sum.fillna({'注册时间': 2002.0,\n", 57 | " '注册资本': 5023.133934462283,\n", 58 | " '行业': '交通运输业',\n", 59 | " '区域': '江西',\n", 60 | " '企业类型': '农民专业合作社',\n", 61 | " '控制人类型': '企业法人',\n", 62 | " '控制人持股比例': 0.7547409850483776})\n", 63 | " knowledge_test_sum = knowledge_test_sum.fillna({'专利': 0,\n", 64 | " '商标': 0,\n", 65 | " '著作权': 0})\n", 66 | " money_report_test_sum = money_report_test_sum.fillna({'year': 2017.0,\n", 67 | " '债权融资额度': 3334.498497772306,\n", 68 | " '债权融资成本': 267.0109897520844,\n", 69 | " '股权融资额度': 5130.455030707215,\n", 70 | " '股权融资成本': 205.22738362924534,\n", 71 | " '内部融资和贸易融资额度': 26228.413307054252,\n", 72 | " '内部融资和贸易融资成本': 1570.9729908071383,\n", 73 | " '项目融资和政策融资额度': 1024.4001114320456,\n", 74 | " '项目融资和政策融资成本': 61.52766412986071})\n", 75 | " year_report_test_sum = year_report_test_sum.fillna({'year': 2016.0,\n", 76 | " '从业人数': 509,\n", 77 | " '资产总额': 135072.24229404208,\n", 78 | " '负债总额': 162285.30989636254,\n", 79 | " '营业总收入': 344766.79090349167,\n", 80 | " '主营业务收入': 206568.3004228836,\n", 81 | " '利润总额': 103109.60091887777,\n", 82 | " '净利润': 22053.03948918005,\n", 83 | " '纳税总额': 75595.39170910012,\n", 84 | " '所有者权益合计': -27210.262594444728})\n", 85 | " \n", 86 | " year_report_test_sum['纳税/净利'] = year_report_test_sum['纳税总额'] / (year_report_test_sum['净利润'] + 1)\n", 87 | " year_report_test_sum['负债/资产'] = year_report_test_sum['负债总额'] / (year_report_test_sum['资产总额'] + 1)\n", 88 | " year_report_test_sum['主收/营收'] = year_report_test_sum['主营业务收入'] / (year_report_test_sum['营业总收入'] + 1)\n", 89 | " year_report_test_sum['净利/资产'] = year_report_test_sum['净利润'] / (year_report_test_sum['资产总额'] + 1)\n", 90 | " year_report_test_sum['净利/营收'] = year_report_test_sum['净利润'] / (year_report_test_sum['营业总收入'] + 1)\n", 91 | " year_report_test_sum['纳税/营收'] = year_report_test_sum['纳税总额'] / (year_report_test_sum['营业总收入'] + 1)\n", 92 | " money_report_test_sum['融资额度'] = money_report_test_sum['债权融资额度'] + money_report_test_sum['股权融资额度'] +\\\n", 93 | " money_report_test_sum['内部融资和贸易融资额度'] + money_report_test_sum['项目融资和政策融资额度']\n", 94 | " year_report_test_sum['利润/营收'] = year_report_test_sum['利润总额'] / (year_report_test_sum['营业总收入'] + 1)\n", 95 | " year_report_test_sum['净利/利润'] = year_report_test_sum['净利润'] / (year_report_test_sum['利润总额'] + 1)\n", 96 | " year_report_test_sum['所得税'] = year_report_test_sum['利润总额'] - year_report_test_sum['净利润']\n", 97 | " year_report_test_sum['所得税/纳税'] = year_report_test_sum['所得税'] / (year_report_test_sum['纳税总额'] + 1)\n", 98 | " year_report_test_sum['净利/负债'] = year_report_test_sum['净利润'] / (year_report_test_sum['负债总额'] + 1)\n", 99 | " year_report_test_sum['纳税/负债'] = year_report_test_sum['纳税总额'] / (year_report_test_sum['负债总额'] + 1)\n", 100 | " year_report_test_sum['负债/所有者'] = year_report_test_sum['负债总额'] / (year_report_test_sum['所有者权益合计'] + 1)\n", 101 | " year_report_test_sum['费用'] = year_report_test_sum['营业总收入'] - year_report_test_sum['利润总额']\n", 102 | " year_report_test_sum['费用/营收'] = year_report_test_sum['费用'] / (year_report_test_sum['营业总收入'] + 1)\n", 103 | " year_report_test_sum['利润/费用'] = year_report_test_sum['利润总额'] / (year_report_test_sum['费用'] + 1)\n", 104 | " year_report_test_sum['净利/融资额度'] = year_report_test_sum['净利润'] / (money_report_test_sum['融资额度'] + 1)\n", 105 | " year_report_test_sum['纳税/融资额度'] = year_report_test_sum['纳税总额'] / (money_report_test_sum['融资额度'] + 1)\n", 106 | " year_report_test_sum['营收/资产'] = year_report_test_sum['营业总收入'] / (year_report_test_sum['资产总额'] + 1)\n", 107 | " year_report_test_sum['所有者/资产'] = year_report_test_sum['所有者权益合计'] / (year_report_test_sum['资产总额'] + 1)\n", 108 | " year_report_test_sum['净利/所有者'] = year_report_test_sum['净利润'] / (year_report_test_sum['所有者权益合计'] + 1)\n", 109 | " year_report_test_sum['政策/净利'] = money_report_test_sum['项目融资和政策融资额度'] / (year_report_test_sum['净利润'] + 1)\n", 110 | " year_report_test_sum['融资/负债'] = money_report_test_sum['融资额度'] / (year_report_test_sum['负债总额'] + 1)\n", 111 | " year_report_test_sum['政策/负债'] = money_report_test_sum['项目融资和政策融资额度'] / (year_report_test_sum['负债总额'] + 1)\n", 112 | " year_report_test_sum['接受补助'] = [0] * len(year_report_test_sum)\n", 113 | " condition = ((year_report_test_sum['政策/净利'] < -0.5) | (year_report_test_sum['政策/净利'] > 1)) & (year_report_test_sum['负债/资产'] > 0.5)\n", 114 | " year_report_test_sum.loc[condition, '接受补助'] = 1\n", 115 | " \n", 116 | " def jinglijudge(x):\n", 117 | " if len(x) == 3:\n", 118 | " return int(x.iloc[0] < 0 and x.iloc[1] < 0 and x.iloc[2] < 0)\n", 119 | " elif len(x) == 2:\n", 120 | " return int(x.iloc[0] < 0 and x.iloc[1] < 0)\n", 121 | " elif len(x) == 1:\n", 122 | " return int(x.iloc[0] < 0)\n", 123 | " year_report_groupby_sum1 = pd.DataFrame(year_report_test_sum['净利润'].groupby(year_report_test_sum['ID']).apply(jinglijudge).reset_index())\n", 124 | " year_report_groupby_sum1.columns = ['ID', '净三小0']\n", 125 | " year_report_groupby_sum7 = year_report_test_sum.groupby('ID').mean().reset_index().drop('year', axis=1)\n", 126 | " newcol = []\n", 127 | " for i in range(len(year_report_groupby_sum7.columns)):\n", 128 | " if i == 0:\n", 129 | " newcol.append(year_report_groupby_sum7.columns[i])\n", 130 | " continue\n", 131 | " newcol.append(year_report_groupby_sum7.columns[i] + '_mean')\n", 132 | " year_report_groupby_sum7.columns = newcol\n", 133 | " year_report_groupby_sum8 = year_report_test_sum.groupby('ID').min().reset_index().drop('year', axis=1)\n", 134 | " newcol = []\n", 135 | " for i in range(len(year_report_groupby_sum8.columns)):\n", 136 | " if i == 0:\n", 137 | " newcol.append(year_report_groupby_sum8.columns[i])\n", 138 | " continue\n", 139 | " newcol.append(year_report_groupby_sum8.columns[i] + '_min')\n", 140 | " year_report_groupby_sum8.columns = newcol\n", 141 | " year_report_groupby_sum9 = year_report_test_sum.groupby('ID').max().reset_index().drop('year', axis=1)\n", 142 | " newcol = []\n", 143 | " for i in range(len(year_report_groupby_sum9.columns)):\n", 144 | " if i == 0:\n", 145 | " newcol.append(year_report_groupby_sum9.columns[i])\n", 146 | " continue\n", 147 | " newcol.append(year_report_groupby_sum9.columns[i] + '_max')\n", 148 | " year_report_groupby_sum9.columns = newcol\n", 149 | " year_report_groupby_sum10 = year_report_test_sum.groupby('ID').std().reset_index().drop('year', axis=1)\n", 150 | " newcol = []\n", 151 | " for i in range(len(year_report_groupby_sum10.columns)):\n", 152 | " if i == 0:\n", 153 | " newcol.append(year_report_groupby_sum10.columns[i])\n", 154 | " continue\n", 155 | " newcol.append(year_report_groupby_sum10.columns[i] + '_std')\n", 156 | " year_report_groupby_sum10.columns = newcol\n", 157 | " def growth(x):\n", 158 | " x.drop('ID', axis=1, inplace=True)\n", 159 | " res = ((x.iloc[1] - x.iloc[0]) / (x.iloc[0] + 1) + (x.iloc[2] - x.iloc[1]) / (x.iloc[1] + 1)) / 2\n", 160 | " return res\n", 161 | " year_report_groupby_sum11 = year_report_test_sum[['ID', '从业人数', '资产总额', '负债总额', '营业总收入', '主营业务收入', \n", 162 | " '利润总额', '净利润', '纳税总额', '所有者权益合计', '负债/资产', \n", 163 | " '负债/所有者', '所有者/资产', '净利/所有者', '政策/净利']].groupby('ID').apply(growth).reset_index()\n", 164 | " newcol = []\n", 165 | " for i in range(len(year_report_groupby_sum11.columns)):\n", 166 | " if i == 0:\n", 167 | " newcol.append(year_report_groupby_sum11.columns[i])\n", 168 | " continue\n", 169 | " newcol.append(year_report_groupby_sum11.columns[i] + '_growth')\n", 170 | " year_report_groupby_sum11.columns = newcol\n", 171 | " year_report_groupby_sum = pd.merge(year_report_groupby_sum1, year_report_groupby_sum7, on='ID', how='left')\n", 172 | " year_report_groupby_sum = pd.merge(year_report_groupby_sum, year_report_groupby_sum8, on='ID', how='left')\n", 173 | " year_report_groupby_sum = pd.merge(year_report_groupby_sum, year_report_groupby_sum9, on='ID', how='left')\n", 174 | " year_report_groupby_sum = pd.merge(year_report_groupby_sum, year_report_groupby_sum10, on='ID', how='left')\n", 175 | " year_report_groupby_sum = pd.merge(year_report_groupby_sum, year_report_groupby_sum11, on='ID', how='left')\n", 176 | " \n", 177 | " money_report_groupby_sum1 = money_report_test_sum.groupby('ID').mean().reset_index().drop('year', axis=1)\n", 178 | " newcol = []\n", 179 | " for i in range(len(money_report_groupby_sum1.columns)):\n", 180 | " if i == 0:\n", 181 | " newcol.append(money_report_groupby_sum1.columns[i])\n", 182 | " continue\n", 183 | " newcol.append(money_report_groupby_sum1.columns[i] + '_mean')\n", 184 | " money_report_groupby_sum1.columns = newcol\n", 185 | " money_report_groupby_sum2 = money_report_test_sum.groupby('ID').max().reset_index().drop('year', axis=1)\n", 186 | " newcol = []\n", 187 | " for i in range(len(money_report_groupby_sum2.columns)):\n", 188 | " if i == 0:\n", 189 | " newcol.append(money_report_groupby_sum2.columns[i])\n", 190 | " continue\n", 191 | " newcol.append(money_report_groupby_sum2.columns[i] + '_max')\n", 192 | " money_report_groupby_sum2.columns = newcol\n", 193 | " money_report_groupby_sum3 = money_report_test_sum.groupby('ID').min().reset_index().drop('year', axis=1)\n", 194 | " newcol = []\n", 195 | " for i in range(len(money_report_groupby_sum3.columns)):\n", 196 | " if i == 0:\n", 197 | " newcol.append(money_report_groupby_sum3.columns[i])\n", 198 | " continue\n", 199 | " newcol.append(money_report_groupby_sum3.columns[i] + '_min')\n", 200 | " money_report_groupby_sum3.columns = newcol\n", 201 | " money_report_groupby_sum4 = money_report_test_sum.groupby('ID').std().reset_index().drop('year', axis=1)\n", 202 | " newcol = []\n", 203 | " for i in range(len(money_report_groupby_sum4.columns)):\n", 204 | " if i == 0:\n", 205 | " newcol.append(money_report_groupby_sum4.columns[i])\n", 206 | " continue\n", 207 | " newcol.append(money_report_groupby_sum4.columns[i] + '_std')\n", 208 | " money_report_groupby_sum4.columns = newcol\n", 209 | " money_report_groupby_sum = pd.merge(money_report_groupby_sum1,money_report_groupby_sum2, on='ID', how='left')\n", 210 | " money_report_groupby_sum = pd.merge(money_report_groupby_sum,money_report_groupby_sum3, on='ID', how='left') \n", 211 | " money_report_groupby_sum = pd.merge(money_report_groupby_sum,money_report_groupby_sum4, on='ID', how='left') \n", 212 | " \n", 213 | " total_data = pd.merge(base_test_sum, knowledge_test_sum, on='ID', how='left')\n", 214 | " total_data = pd.merge(total_data, money_report_groupby_sum, on='ID', how='left')\n", 215 | " total_data = pd.merge(total_data, year_report_groupby_sum, on='ID', how='left')\n", 216 | " total_data = total_data.fillna(0)\n", 217 | " \n", 218 | " return total_data\n", 219 | " \n", 220 | " def predict(self):\n", 221 | " data = self.preprocess()\n", 222 | " X = data[['净三小0', '净利润_mean', '纳税总额_mean', '纳税/净利_mean', '净利/资产_mean', '净利/营收_mean',\n", 223 | " '纳税/营收_mean', '净利/利润_mean', '净利/负债_mean', '纳税/负债_mean', '纳税/融资额度_mean', \n", 224 | " '纳税/净利_min', '所得税_min', '所得税/纳税_min', '净利润_max', '纳税总额_max', '纳税/净利_max', \n", 225 | " '净利/资产_max', '净利/营收_max', '纳税/营收_max', '净利/利润_max', '净利/负债_max', '纳税/负债_max', \n", 226 | " '净利/融资额度_max', '纳税/融资额度_max', '融资/负债_max', '纳税总额_std', '纳税/净利_std', \n", 227 | " '净利/营收_std', '纳税/营收_std', '所得税/纳税_std', '纳税/负债_std', '纳税/融资额度_std', \n", 228 | " '净利/所有者_mean', '政策/净利_mean', '融资/负债_mean' ,'政策/负债_mean', '接受补助_mean', \n", 229 | " '从业人数_min', '资产总额_min', '负债总额_min', '营业总收入_min', '主营业务收入_min', '利润总额_min',\n", 230 | " '净利润_min', '纳税总额_min', '所有者权益合计_min', '负债/资产_min', '主收/营收_min', '净利/资产_min',\n", 231 | " '净利/营收_min', '纳税/营收_min', '利润/营收_min', '净利/利润_min', '净利/负债_min', '纳税/负债_min', \n", 232 | " '负债/所有者_min', '费用_min', '费用/营收_min', '利润/费用_min', '净利/融资额度_min', \n", 233 | " '纳税/融资额度_min', '营收/资产_min', '所有者/资产_min', '净利/所有者_min', '政策/净利_min', \n", 234 | " '融资/负债_min', '政策/负债_min', '接受补助_min', '资产总额_max', '负债总额_max', '营业总收入_max',\n", 235 | " '主营业务收入_max','利润总额_max', '所有者权益合计_max', '负债/资产_max', '主收/营收_max', \n", 236 | " '利润/营收_max', '所得税_max', '所得税/纳税_max', '负债/所有者_max', '费用_max', '费用/营收_max', \n", 237 | " '利润/费用_max', '营收/资产_max', '所有者/资产_max', '净利/所有者_max', '政策/净利_max', \n", 238 | " '政策/负债_max', '接受补助_max', '从业人数_std', '资产总额_std', '负债总额_std', '营业总收入_std', \n", 239 | " '主营业务收入_std', '利润总额_std', '净利润_std', '所有者权益合计_std', '负债/资产_std', '主收/营收_std', \n", 240 | " '净利/资产_std', '利润/营收_std', '净利/利润_std', '所得税_std', '净利/负债_std', '负债/所有者_std', '费用_std',\n", 241 | " '费用/营收_std', '利润/费用_std', '净利/融资额度_std', '营收/资产_std', '所有者/资产_std',\n", 242 | " '净利/所有者_std', '政策/净利_std', '融资/负债_std', '政策/负债_std', '接受补助_std', '从业人数_growth',\n", 243 | " '资产总额_growth', '负债总额_growth', '营业总收入_growth', '主营业务收入_growth', '利润总额_growth',\n", 244 | " '净利润_growth', '纳税总额_growth', '所有者权益合计_growth', '负债/资产_growth', '负债/所有者_growth',\n", 245 | " '所有者/资产_growth', '净利/所有者_growth', '政策/净利_growth'\n", 246 | " ]]\n", 247 | " eclf = joblib.load('eclf.joblib')\n", 248 | " y_pred = eclf.predict(X)\n", 249 | " \n", 250 | " return pd.DataFrame({'ID': data['ID'], 'flag': y_pred})" 251 | ] 252 | }, 253 | { 254 | "cell_type": "code", 255 | "execution_count": 9, 256 | "metadata": {}, 257 | "outputs": [], 258 | "source": [ 259 | "base_train_sum = pd.read_csv('datasets/base_train_sum.csv', encoding='gbk')\n", 260 | "knowledge_train_sum = pd.read_csv('datasets/knowledge_train_sum.csv', encoding='gbk')\n", 261 | "money_report_train_sum = pd.read_csv('datasets/money_report_train_sum.csv', encoding='gbk')\n", 262 | "year_report_train_sum = pd.read_csv('datasets/year_report_train_sum.csv', encoding='gbk')" 263 | ] 264 | }, 265 | { 266 | "cell_type": "code", 267 | "execution_count": 32, 268 | "metadata": {}, 269 | "outputs": [], 270 | "source": [ 271 | "clf = CompanyClassifier(base_train_sum, knowledge_train_sum, money_report_train_sum, year_report_train_sum)" 272 | ] 273 | }, 274 | { 275 | "cell_type": "code", 276 | "execution_count": 11, 277 | "metadata": {}, 278 | "outputs": [], 279 | "source": [ 280 | "import time" 281 | ] 282 | }, 283 | { 284 | "cell_type": "code", 285 | "execution_count": 33, 286 | "metadata": {}, 287 | "outputs": [ 288 | { 289 | "name": "stdout", 290 | "output_type": "stream", 291 | "text": [ 292 | "38.43519592285156\n" 293 | ] 294 | } 295 | ], 296 | "source": [ 297 | "st = time.time()\n", 298 | "a = clf.predict()\n", 299 | "ed = time.time()\n", 300 | "print(ed-st)" 301 | ] 302 | }, 303 | { 304 | "cell_type": "code", 305 | "execution_count": 34, 306 | "metadata": {}, 307 | "outputs": [ 308 | { 309 | "data": { 310 | "text/html": [ 311 | "
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" 393 | ], 394 | "text/plain": [ 395 | " ID flag\n", 396 | "0 28 1.0\n", 397 | "1 230 1.0\n", 398 | "2 429 1.0\n", 399 | "3 693 1.0\n", 400 | "4 727 1.0\n", 401 | "... ... ...\n", 402 | "15045 5978029 0.0\n", 403 | "15046 5978030 0.0\n", 404 | "15047 5978031 0.0\n", 405 | "15048 5978032 0.0\n", 406 | "15049 5978033 0.0\n", 407 | "\n", 408 | "[15050 rows x 2 columns]" 409 | ] 410 | }, 411 | "execution_count": 34, 412 | "metadata": {}, 413 | "output_type": "execute_result" 414 | } 415 | ], 416 | "source": [ 417 | "a" 418 | ] 419 | }, 420 | { 421 | "cell_type": "code", 422 | "execution_count": null, 423 | "metadata": {}, 424 | "outputs": [], 425 | "source": [] 426 | } 427 | ], 428 | "metadata": { 429 | "kernelspec": { 430 | "display_name": "Python 3", 431 | "language": "python", 432 | "name": "python3" 433 | }, 434 | "language_info": { 435 | "codemirror_mode": { 436 | "name": "ipython", 437 | "version": 3 438 | }, 439 | "file_extension": ".py", 440 | "mimetype": "text/x-python", 441 | "name": "python", 442 | "nbconvert_exporter": "python", 443 | "pygments_lexer": "ipython3", 444 | "version": "3.7.6" 445 | } 446 | }, 447 | "nbformat": 4, 448 | "nbformat_minor": 4 449 | } 450 | -------------------------------------------------------------------------------- /webclassifier/classifier/views.py: -------------------------------------------------------------------------------- 1 | from django.shortcuts import render 2 | from .forms import UploadForm, SingleDataInputForm 3 | from django.http import HttpResponseRedirect, StreamingHttpResponse 4 | from django.urls import reverse 5 | from .algorithm import CompanyClassifier 6 | import pandas as pd 7 | from pyecharts.charts import Bar 8 | from pyecharts import options as opts 9 | from pyecharts.charts import Pie 10 | from pyecharts.charts import Line 11 | from pyecharts.charts import Liquid 12 | from pyecharts.charts import Radar 13 | 14 | # Create your views here. 15 | 16 | def index(request): 17 | return render(request, 'index.html') 18 | 19 | def multiple_upload(request): 20 | if request.method == 'POST': 21 | form = UploadForm(request.POST, request.FILES) 22 | if form.is_valid(): 23 | with open('classifier/upload/base_test_sum.csv', 'wb+') as destination: 24 | for chunk in request.FILES['base_test_sum'].chunks(): 25 | destination.write(chunk) 26 | with open('classifier/upload/knowledge_test_sum.csv', 'wb+') as destination: 27 | for chunk in request.FILES['knowledge_test_sum'].chunks(): 28 | destination.write(chunk) 29 | with open('classifier/upload/money_report_test_sum.csv', 'wb+') as destination: 30 | for chunk in request.FILES['money_report_test_sum'].chunks(): 31 | destination.write(chunk) 32 | with open('classifier/upload/year_report_test_sum.csv', 'wb+') as destination: 33 | for chunk in request.FILES['year_report_test_sum'].chunks(): 34 | destination.write(chunk) 35 | return HttpResponseRedirect(reverse('multiple-result')) 36 | else: 37 | form = UploadForm() 38 | return render(request, 'multiple_upload.html', {'form': form}) 39 | 40 | def multiple_result(request): 41 | base_test_sum = pd.read_csv('classifier/upload/base_test_sum.csv', encoding='gbk') 42 | knowledge_test_sum = pd.read_csv('classifier/upload/knowledge_test_sum.csv', encoding='gbk') 43 | money_report_test_sum = pd.read_csv('classifier/upload/money_report_test_sum.csv', encoding='gbk') 44 | year_report_test_sum = pd.read_csv('classifier/upload/year_report_test_sum.csv', encoding='gbk') 45 | clf = CompanyClassifier(base_test_sum, knowledge_test_sum, money_report_test_sum, year_report_test_sum) 46 | result = clf.predict() 47 | result.to_csv('classifier/result/result.csv', encoding='gbk', index=False) 48 | return render(request, 'multiple_result.html') 49 | 50 | def multiple_download(request): 51 | response = StreamingHttpResponse(open('classifier/result/result.csv', 'rb'), content_type='text/csv') 52 | response['Content-Disposition'] = 'attachment; filename="result.csv"' 53 | return response 54 | 55 | def single_upload(request): 56 | if request.method == 'POST': 57 | form = UploadForm(request.POST, request.FILES) 58 | if form.is_valid(): 59 | with open('classifier/upload/base_test_sum.csv', 'wb+') as destination: 60 | for chunk in request.FILES['base_test_sum'].chunks(): 61 | destination.write(chunk) 62 | with open('classifier/upload/knowledge_test_sum.csv', 'wb+') as destination: 63 | for chunk in request.FILES['knowledge_test_sum'].chunks(): 64 | destination.write(chunk) 65 | with open('classifier/upload/money_report_test_sum.csv', 'wb+') as destination: 66 | for chunk in request.FILES['money_report_test_sum'].chunks(): 67 | destination.write(chunk) 68 | with open('classifier/upload/year_report_test_sum.csv', 'wb+') as destination: 69 | for chunk in request.FILES['year_report_test_sum'].chunks(): 70 | destination.write(chunk) 71 | return HttpResponseRedirect(reverse('single-result')) 72 | else: 73 | form = UploadForm() 74 | return render(request, 'single_upload.html', {'form': form}) 75 | 76 | def single_result(request): 77 | base_test_sum = pd.read_csv('classifier/upload/base_test_sum.csv', encoding='gbk') 78 | knowledge_test_sum = pd.read_csv('classifier/upload/knowledge_test_sum.csv', encoding='gbk') 79 | money_report_test_sum = pd.read_csv('classifier/upload/money_report_test_sum.csv', encoding='gbk') 80 | year_report_test_sum = pd.read_csv('classifier/upload/year_report_test_sum.csv', encoding='gbk') 81 | clf = CompanyClassifier(base_test_sum, knowledge_test_sum, money_report_test_sum, year_report_test_sum) 82 | result = clf.predict() 83 | pred = result['flag'].iloc[0] 84 | compony_id = result['ID'].iloc[0] 85 | return render(request, 'single_result.html', {'pred': pred, 'company_id': compony_id}) 86 | 87 | def single_input(request): 88 | if request.method == 'POST': 89 | form = SingleDataInputForm(request.POST) 90 | if form.is_valid(): 91 | company_id = form.cleaned_data['company_id'] 92 | zhuce_time = form.cleaned_data['zhuce_time'] 93 | zhuce_ziben = form.cleaned_data['zhuce_ziben'] 94 | HANGYE_DICT = dict((('UN', '未知'), ('JT', '交通运输业'), ('SY', '商业服务业'), ('GY', '工业'), ('FW', '服务业'), 95 | ('SQ', '社区服务'), ('LS', '零售业'))) 96 | hangye = HANGYE_DICT[form.cleaned_data['hangye']] 97 | if hangye == '未知': 98 | hangye = None 99 | QUYU_DICT = dict((('UN', '未知'), ('SD', '山东'), ('GD', '广东'), ('GX', '广西'), ('JX', '江西'), ('HB', '湖北'), 100 | ('HN', '湖南'), ('FJ', '福建'))) 101 | quyu = QUYU_DICT[form.cleaned_data['quyu']] 102 | if quyu == '未知': 103 | quyu = None 104 | QIYELEIXING_DICT = dict((('UN', '未知'), ('NM', '农民专业合作社'), ('HH', '合伙企业'), ('YX', '有限责任公司'), 105 | ('GF', '股份有限公司'), ('JT', '集体所有制企业'))) 106 | qiyeleixing = QIYELEIXING_DICT[form.cleaned_data['qiyeleixing']] 107 | if qiyeleixing == '未知': 108 | qiyeleixing = None 109 | KONGZHIREN_CHOICES = dict((('UN', '未知'), ('QY', '企业法人'), ('ZR', '自然人'))) 110 | kongzhiren_leixing = KONGZHIREN_CHOICES[form.cleaned_data['kongzhiren_leixing']] 111 | if kongzhiren_leixing == '未知': 112 | kongzhiren_leixing = None 113 | kongzhiren_chigubili = form.cleaned_data['kongzhiren_chigubili'] 114 | base_test_sum = pd.DataFrame({'ID': [company_id], '注册时间': [zhuce_time], '注册资本': [zhuce_ziben], 115 | '行业': [hangye], '区域': [quyu], '企业类型': [qiyeleixing], 116 | '控制人类型': [kongzhiren_leixing], '控制人持股比例': [kongzhiren_chigubili]}) 117 | base_test_sum.to_csv('classifier/upload/base_test_sum.csv', encoding='gbk', index=False) 118 | 119 | BINARY_DICT = dict((('UN', '未知'), ('Y', '1'), ('N', '0'))) 120 | zhuanli = BINARY_DICT[form.cleaned_data['zhuanli']] 121 | if zhuanli == '未知': 122 | zhuanli = None 123 | shangbiao = BINARY_DICT[form.cleaned_data['shangbiao']] 124 | if shangbiao == '未知': 125 | shangbiao = None 126 | zhuzuoquan = BINARY_DICT[form.cleaned_data['zhuzuoquan']] 127 | if zhuzuoquan == '未知': 128 | zhuzuoquan = None 129 | knowledge_test_sum = pd.DataFrame({'ID': [company_id], '专利': zhuanli, '商标': shangbiao, '著作权': zhuzuoquan}) 130 | knowledge_test_sum.to_csv('classifier/upload/knowledge_test_sum.csv', encoding='gbk', index=False) 131 | 132 | zhaiquan_chengben1 = form.cleaned_data['zhaiquan_chengben1'] 133 | zhaiquan_edu1 = form.cleaned_data['zhaiquan_edu1'] 134 | zhaiquan_chengben2 = form.cleaned_data['zhaiquan_chengben2'] 135 | zhaiquan_edu2 = form.cleaned_data['zhaiquan_edu2'] 136 | zhaiquan_chengben3 = form.cleaned_data['zhaiquan_chengben3'] 137 | zhaiquan_edu3 = form.cleaned_data['zhaiquan_edu3'] 138 | guquan_chengben1 = form.cleaned_data['guquan_chengben1'] 139 | guquan_edu1 = form.cleaned_data['guquan_edu1'] 140 | guquan_chengben2 = form.cleaned_data['guquan_chengben2'] 141 | guquan_edu2 = form.cleaned_data['guquan_edu2'] 142 | guquan_chengben3 = form.cleaned_data['guquan_chengben3'] 143 | guquan_edu3 = form.cleaned_data['guquan_edu3'] 144 | neibu_chengben1 = form.cleaned_data['neibu_chengben1'] 145 | neibu_edu1 = form.cleaned_data['neibu_edu1'] 146 | neibu_chengben2 = form.cleaned_data['neibu_chengben2'] 147 | neibu_edu2 = form.cleaned_data['neibu_edu2'] 148 | neibu_chengben3 = form.cleaned_data['neibu_chengben3'] 149 | neibu_edu3 = form.cleaned_data['neibu_edu3'] 150 | xiangmu_chengben1 = form.cleaned_data['xiangmu_chengben1'] 151 | xiangmu_edu1 = form.cleaned_data['xiangmu_edu1'] 152 | xiangmu_chengben2 = form.cleaned_data['xiangmu_chengben2'] 153 | xiangmu_edu2 = form.cleaned_data['xiangmu_edu2'] 154 | xiangmu_chengben3 = form.cleaned_data['xiangmu_chengben3'] 155 | xiangmu_edu3 = form.cleaned_data['xiangmu_edu3'] 156 | money_report_test_sum = pd.DataFrame({'ID': [company_id, company_id, company_id], 'year': [2015, 2016, 2017], 157 | '债权融资额度': [zhaiquan_edu1, zhaiquan_edu2, zhaiquan_edu3], 158 | '债权融资成本': [zhaiquan_chengben1, zhaiquan_chengben2, zhaiquan_chengben3], 159 | '股权融资额度': [guquan_edu1, guquan_edu2, guquan_edu3], 160 | '股权融资成本': [guquan_chengben1, guquan_chengben2, guquan_chengben3], 161 | '内部融资和贸易融资额度': [neibu_edu1, neibu_edu2, neibu_edu3], 162 | '内部融资和贸易融资成本': [neibu_chengben1, neibu_chengben2, neibu_chengben3], 163 | '项目融资和政策融资额度': [xiangmu_edu1, xiangmu_edu2, xiangmu_edu3], 164 | '项目融资和政策融资成本': [xiangmu_chengben1, xiangmu_chengben2, xiangmu_chengben3]}) 165 | money_report_test_sum.to_csv('classifier/upload/money_report_test_sum.csv', encoding='gbk', index=False) 166 | 167 | congyerenshu1 = form.cleaned_data['congyerenshu1'] 168 | congyerenshu2 = form.cleaned_data['congyerenshu2'] 169 | congyerenshu3 = form.cleaned_data['congyerenshu3'] 170 | zichanzonge1 = form.cleaned_data['zichanzonge1'] 171 | zichanzonge2 = form.cleaned_data['zichanzonge2'] 172 | zichanzonge3 = form.cleaned_data['zichanzonge3'] 173 | fuzhaizonge1 = form.cleaned_data['fuzhaizonge1'] 174 | fuzhaizonge2 = form.cleaned_data['fuzhaizonge2'] 175 | fuzhaizonge3 = form.cleaned_data['fuzhaizonge3'] 176 | yingshou1 = form.cleaned_data['yingshou1'] 177 | yingshou2 = form.cleaned_data['yingshou2'] 178 | yingshou3 = form.cleaned_data['yingshou3'] 179 | zhuyingshou1 = form.cleaned_data['zhuyingshou1'] 180 | zhuyingshou2 = form.cleaned_data['zhuyingshou2'] 181 | zhuyingshou3 = form.cleaned_data['zhuyingshou3'] 182 | lirun1 = form.cleaned_data['lirun1'] 183 | lirun2 = form.cleaned_data['lirun2'] 184 | lirun3 = form.cleaned_data['lirun3'] 185 | jinglirun1 = form.cleaned_data['jinglirun1'] 186 | jinglirun2 = form.cleaned_data['jinglirun2'] 187 | jinglirun3 = form.cleaned_data['jinglirun3'] 188 | nashui1 = form.cleaned_data['nashui1'] 189 | nashui2 = form.cleaned_data['nashui2'] 190 | nashui3 = form.cleaned_data['nashui3'] 191 | suoyouzhe1 = form.cleaned_data['suoyouzhe1'] 192 | suoyouzhe2 = form.cleaned_data['suoyouzhe2'] 193 | suoyouzhe3 = form.cleaned_data['suoyouzhe3'] 194 | year_report_test_sum = pd.DataFrame({'ID': [company_id, company_id, company_id], 'year': [2015, 2016, 2017], 195 | '从业人数': [congyerenshu1, congyerenshu2, congyerenshu3], 196 | '资产总额': [zichanzonge1, zichanzonge2, zichanzonge3], 197 | '负债总额': [fuzhaizonge1, fuzhaizonge2, fuzhaizonge3], 198 | '营业总收入': [yingshou1, yingshou2, yingshou3], 199 | '主营业务收入': [zhuyingshou1, zhuyingshou2, zhuyingshou3], 200 | '利润总额': [lirun1, lirun2, lirun3], 201 | '净利润': [jinglirun1, jinglirun2, jinglirun3], 202 | '纳税总额': [nashui1, nashui2, nashui3], 203 | '所有者权益合计': [suoyouzhe1, suoyouzhe2, suoyouzhe3]}) 204 | year_report_test_sum.to_csv('classifier/upload/year_report_test_sum.csv', encoding='gbk', index=False) 205 | 206 | return HttpResponseRedirect(reverse('single-result')) 207 | else: 208 | form = SingleDataInputForm() 209 | return render(request, 'single_input.html', {'form': form}) 210 | 211 | def single_result_visualize_base(request): 212 | base_test_sum = pd.read_csv('classifier/upload/base_test_sum.csv', encoding='gbk') 213 | knowledge_test_sum = pd.read_csv('classifier/upload/knowledge_test_sum.csv', encoding='gbk') 214 | money_report_test_sum = pd.read_csv('classifier/upload/money_report_test_sum.csv', encoding='gbk') 215 | year_report_test_sum = pd.read_csv('classifier/upload/year_report_test_sum.csv', encoding='gbk') 216 | clf = CompanyClassifier(base_test_sum, knowledge_test_sum, money_report_test_sum, year_report_test_sum) 217 | result = clf.predict() 218 | company_id = base_test_sum.iloc[0]['ID'] 219 | pred = result.iloc[0]['flag'] 220 | zhuce_time = base_test_sum.iloc[0]['注册时间'] 221 | if pd.isnull(zhuce_time): 222 | zhuce_time = '未知' 223 | zhuce_ziben = base_test_sum.iloc[0]['注册资本'] 224 | if pd.isnull(zhuce_ziben): 225 | zhuce_ziben = '未知' 226 | hangye = base_test_sum.iloc[0]['行业'] 227 | if pd.isnull(hangye): 228 | hangye = '未知' 229 | quyu = base_test_sum.iloc[0]['区域'] 230 | if pd.isnull(quyu): 231 | quyu = '未知' 232 | qiyeleixing = base_test_sum.iloc[0]['企业类型'] 233 | if pd.isnull(qiyeleixing): 234 | qiyeleixing = '未知' 235 | kongzhiren_leixing = base_test_sum.iloc[0]['控制人类型'] 236 | if pd.isnull(kongzhiren_leixing): 237 | kongzhiren_leixing = '未知' 238 | kongzhiren_chigubili = base_test_sum.iloc[0]['控制人持股比例'] 239 | if pd.isnull(kongzhiren_chigubili): 240 | kongzhiren_chigubili = 0 241 | 242 | zhuanli = knowledge_test_sum.iloc[0]['专利'] 243 | if pd.isnull(zhuanli): 244 | zhuanli = '未知' 245 | shangbiao = knowledge_test_sum.iloc[0]['商标'] 246 | if pd.isnull(shangbiao): 247 | shangbiao = '未知' 248 | zhuzuoquan = knowledge_test_sum.iloc[0]['著作权'] 249 | if pd.isnull(zhuzuoquan): 250 | zhuzuoquan = '未知' 251 | 252 | c_kongzhiren = ( 253 | Liquid(init_opts=opts.InitOpts(width="400px", height="400px")) 254 | .add("未知", [kongzhiren_chigubili], label_opts=opts.LabelOpts(font_size=40, position="inside")) 255 | ) 256 | 257 | def jingyingfengxian(x): 258 | xmean = (x.iloc[0] + x.iloc[1] + x.iloc[2]) / 3 259 | return (abs(x.iloc[0] - xmean) + abs(x.iloc[1] - xmean) + abs(x.iloc[2] - xmean)) / 3 / (xmean + 1) 260 | 261 | year_report_groupby_sum2 = pd.DataFrame( 262 | year_report_test_sum['净利润'].groupby(year_report_test_sum['ID']).apply(jingyingfengxian).reset_index()) 263 | year_report_groupby_sum2.columns = ['ID', '经营风险'] 264 | 265 | def jingyingganggan(x): 266 | return ((x['净利润'].iloc[1] - x['净利润'].iloc[0]) / (x['营业总收入'].iloc[1] - x['营业总收入'].iloc[0] + 1) + 267 | (x['净利润'].iloc[2] - x['净利润'].iloc[1]) / (x['营业总收入'].iloc[2] - x['营业总收入'].iloc[1] + 1)) / 2 268 | 269 | year_report_groupby_sum3 = pd.DataFrame(year_report_test_sum.groupby('ID').apply(jingyingganggan).reset_index()) 270 | year_report_groupby_sum3.columns = ['ID', '经营杠杆'] 271 | 272 | zhengfuyilai = money_report_test_sum['项目融资和政策融资额度'] / (year_report_test_sum['净利润'] + 1) 273 | zichanfuzhai = year_report_test_sum['负债总额'] / (year_report_test_sum['资产总额'] + 1) 274 | zichanzhouzhuan = year_report_test_sum['营业总收入'] / (year_report_test_sum['资产总额'] + 1) 275 | 276 | v1 = [[float(year_report_groupby_sum2.iloc[0]['经营风险']), 277 | float(year_report_groupby_sum3.iloc[0]['经营杠杆']), zhengfuyilai.mean(), zichanfuzhai.mean(), 278 | zichanzhouzhuan.mean()]] 279 | 280 | r_jingying = ( 281 | Radar(init_opts=opts.InitOpts(width="400px", height="400px")) 282 | .add_schema( 283 | schema=[ 284 | opts.RadarIndicatorItem(name="经营风险", max_=5, min_=-5), 285 | opts.RadarIndicatorItem(name="经营杠杆", max_=5, min_=-5), 286 | opts.RadarIndicatorItem(name="政府依赖", max_=5, min_=-5), 287 | opts.RadarIndicatorItem(name="资产负债率", max_=5, min_=-5), 288 | opts.RadarIndicatorItem(name="资产周转率", max_=5, min_=-5), 289 | ], 290 | splitarea_opt=opts.SplitAreaOpts( 291 | is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1) 292 | ), 293 | ) 294 | .add( 295 | series_name="企业经营状况", 296 | data=v1, 297 | linestyle_opts=opts.LineStyleOpts(color="#CD0000"), 298 | ) 299 | ) 300 | 301 | return render(request, 'single_result_visualize_base.html', {'company_id': company_id, 302 | 'pred': pred, 303 | 'zhuce_time': zhuce_time, 304 | 'zhuce_ziben': zhuce_ziben, 305 | 'hangye': hangye, 306 | 'quyu': quyu, 307 | 'qiyeleixing': qiyeleixing, 308 | 'kongzhiren_leixing': kongzhiren_leixing, 309 | 'zhuanli': zhuanli, 310 | 'shangbiao': shangbiao, 311 | 'zhuzuoquan': zhuzuoquan, 312 | 'c_kongzhiren': c_kongzhiren.render_embed(), 313 | 'r_jingying': r_jingying.render_embed()}) 314 | 315 | 316 | def single_result_visualize_money(request): 317 | money_report_test_sum = pd.read_csv('classifier/upload/money_report_test_sum.csv', encoding='gbk') 318 | bar_chengben = ( 319 | Bar() 320 | .add_xaxis(list(money_report_test_sum['year'])) 321 | .add_yaxis("债权融资成本", list(money_report_test_sum['债权融资成本'])) 322 | .add_yaxis("股权融资成本", list(money_report_test_sum['股权融资成本'])) 323 | .add_yaxis("内部融资和贸易融资成本", list(money_report_test_sum['内部融资和贸易融资成本'])) 324 | .add_yaxis("项目融资和政策融资成本", list(money_report_test_sum['项目融资和政策融资成本'])) 325 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年融资成本变化")) 326 | ) 327 | 328 | bar_edu = ( 329 | Bar() 330 | .add_xaxis(list(money_report_test_sum['year'])) 331 | .add_yaxis("债权融资额度", list(money_report_test_sum['债权融资额度'])) 332 | .add_yaxis("股权融资额度", list(money_report_test_sum['股权融资额度'])) 333 | .add_yaxis("内部融资和贸易融资额度", list(money_report_test_sum['内部融资和贸易融资额度'])) 334 | .add_yaxis("项目融资和政策融资额度", list(money_report_test_sum['项目融资和政策融资额度'])) 335 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年融资额度变化")) 336 | ) 337 | 338 | chengben = ['债权融资成本', '股权融资成本', '内部融资和贸易融资成本', '项目融资和政策融资成本'] 339 | chengben_v1 = [money_report_test_sum.iloc[0][x] for x in chengben] 340 | chengben_v2 = [money_report_test_sum.iloc[1][x] for x in chengben] 341 | chengben_v3 = [money_report_test_sum.iloc[2][x] for x in chengben] 342 | c_chengben = ( 343 | Pie() 344 | .add( 345 | "", 346 | [list(z) for z in zip(chengben, chengben_v1)], 347 | radius=["20%", "30%"], 348 | center=["25%", "50%"], 349 | rosetype="area", 350 | # label_opts=opts.LabelOpts(is_show=False), 351 | ) 352 | .add( 353 | "", 354 | [list(z) for z in zip(chengben, chengben_v2)], 355 | radius=["20%", "30%"], 356 | center=["50%", "50%"], 357 | rosetype="area", 358 | label_opts=opts.LabelOpts(is_show=False), 359 | ) 360 | .add( 361 | "", 362 | [list(z) for z in zip(chengben, chengben_v3)], 363 | radius=["20%", "30%"], 364 | center=["75%", "50%"], 365 | rosetype="area", 366 | label_opts=opts.LabelOpts(is_show=False), 367 | ) 368 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年融资成本占比")) 369 | ) 370 | 371 | edu = ['债权融资额度', '股权融资额度', '内部融资和贸易融资额度', '项目融资和政策融资额度'] 372 | edu_v1 = [money_report_test_sum.iloc[0][x] for x in edu] 373 | edu_v2 = [money_report_test_sum.iloc[1][x] for x in edu] 374 | edu_v3 = [money_report_test_sum.iloc[2][x] for x in edu] 375 | c_edu = ( 376 | Pie() 377 | .add( 378 | "", 379 | [list(z) for z in zip(edu, edu_v1)], 380 | radius=["20%", "30%"], 381 | center=["25%", "50%"], 382 | rosetype="area", 383 | # label_opts=opts.LabelOpts(is_show=False), 384 | ) 385 | .add( 386 | "", 387 | [list(z) for z in zip(edu, edu_v2)], 388 | radius=["20%", "30%"], 389 | center=["50%", "50%"], 390 | rosetype="area", 391 | label_opts=opts.LabelOpts(is_show=False), 392 | ) 393 | .add( 394 | "", 395 | [list(z) for z in zip(edu, edu_v3)], 396 | radius=["20%", "30%"], 397 | center=["75%", "50%"], 398 | rosetype="area", 399 | label_opts=opts.LabelOpts(is_show=False), 400 | ) 401 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年融资额度占比")) 402 | ) 403 | 404 | eduoverchengben = ['融资额度', '融资成本'] 405 | eduoverchengben1 = [money_report_test_sum.iloc[0]['债权融资额度'] + money_report_test_sum.iloc[0]['股权融资额度'] + 406 | money_report_test_sum.iloc[0]['内部融资和贸易融资额度'] + money_report_test_sum.iloc[0]['内部融资和贸易融资额度'], 407 | money_report_test_sum.iloc[0]['债权融资成本'] + money_report_test_sum.iloc[0]['股权融资成本'] + 408 | money_report_test_sum.iloc[0]['内部融资和贸易融资成本'] + money_report_test_sum.iloc[0]['内部融资和贸易融资成本']] 409 | 410 | eduoverchengben2 = [money_report_test_sum.iloc[1]['债权融资额度'] + money_report_test_sum.iloc[1]['股权融资额度'] + 411 | money_report_test_sum.iloc[1]['内部融资和贸易融资额度'] + money_report_test_sum.iloc[1]['内部融资和贸易融资额度'], 412 | money_report_test_sum.iloc[1]['债权融资成本'] + money_report_test_sum.iloc[1]['股权融资成本'] + 413 | money_report_test_sum.iloc[1]['内部融资和贸易融资成本'] + money_report_test_sum.iloc[1]['内部融资和贸易融资成本']] 414 | 415 | eduoverchengben3 = [money_report_test_sum.iloc[1]['债权融资额度'] + money_report_test_sum.iloc[1]['股权融资额度'] + 416 | money_report_test_sum.iloc[1]['内部融资和贸易融资额度'] + money_report_test_sum.iloc[1]['内部融资和贸易融资额度'], 417 | money_report_test_sum.iloc[1]['债权融资成本'] + money_report_test_sum.iloc[1]['股权融资成本'] + 418 | money_report_test_sum.iloc[1]['内部融资和贸易融资成本'] + money_report_test_sum.iloc[1]['内部融资和贸易融资成本']] 419 | 420 | c_eduoverchengben = ( 421 | Pie() 422 | .add("", [list(z) for z in zip(eduoverchengben, eduoverchengben1)], radius='30%', center=["20%", "50%"]) 423 | .add("", [list(z) for z in zip(eduoverchengben, eduoverchengben2)], radius='30%', center=["50%", "50%"]) 424 | .add("", [list(z) for z in zip(eduoverchengben, eduoverchengben3)], radius='30%', center=["80%", "50%"]) 425 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年融资额度/融资成本")) 426 | .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: \n{c}")) 427 | ) 428 | 429 | rongziedu = [money_report_test_sum.iloc[i]['债权融资额度'] + money_report_test_sum.iloc[i]['股权融资额度'] + 430 | money_report_test_sum.iloc[i]['内部融资和贸易融资额度'] + money_report_test_sum.iloc[i]['内部融资和贸易融资额度'] for i in range(3)] 431 | rongzichengben = [money_report_test_sum.iloc[i]['债权融资成本'] + money_report_test_sum.iloc[i]['股权融资成本'] + 432 | money_report_test_sum.iloc[i]['内部融资和贸易融资成本'] + money_report_test_sum.iloc[i]['内部融资和贸易融资成本'] for i in range(3)] 433 | zonghe_zijinchengben = [(money_report_test_sum.iloc[i]['债权融资成本'] * money_report_test_sum.iloc[i]['债权融资额度'] + 434 | money_report_test_sum.iloc[i]['股权融资成本'] * money_report_test_sum.iloc[i]['股权融资额度'] + 435 | money_report_test_sum.iloc[i]['内部融资和贸易融资成本'] * money_report_test_sum.iloc[i][ 436 | '内部融资和贸易融资额度'] + 437 | money_report_test_sum.iloc[i]['项目融资和政策融资成本'] * money_report_test_sum.iloc[i][ 438 | '项目融资和政策融资额度']) / (rongziedu[i] + 1) for i in range(3)] 439 | 440 | c_overview = ( 441 | Line() 442 | .add_xaxis([str(x) for x in list(money_report_test_sum['year'])]) 443 | .add_yaxis("融资额度", rongziedu) 444 | .add_yaxis("融资成本", rongzichengben) 445 | .add_yaxis("综合资金成本", zonghe_zijinchengben) 446 | .set_global_opts(title_opts=opts.TitleOpts(title="融资数据概览")) 447 | ) 448 | 449 | return render(request, 'single_result_visualize_money.html', {'bar_chengben': bar_chengben.render_embed(), 450 | 'bar_edu': bar_edu.render_embed(), 451 | 'c_chengben': c_chengben.render_embed(), 452 | 'c_edu': c_edu.render_embed(), 453 | 'c_eduoverchengben': c_eduoverchengben.render_embed(), 454 | 'c_overview': c_overview.render_embed()}) 455 | 456 | def single_result_visualize_year(request): 457 | year_report_test_sum = pd.read_csv('../webclassifier/classifier/upload/year_report_test_sum.csv', encoding='gbk') 458 | bar_zichan = ( 459 | Bar() 460 | .add_xaxis(list(year_report_test_sum['year'])) 461 | .add_yaxis("资产总额", list(year_report_test_sum['资产总额'])) 462 | .add_yaxis("负债总额", list(year_report_test_sum['负债总额'])) 463 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年资产与负债总额")) 464 | .set_series_opts( 465 | label_opts=opts.LabelOpts(is_show=False), 466 | markline_opts=opts.MarkLineOpts( 467 | data=[ 468 | opts.MarkLineItem(type_="average", name="平均值"), 469 | ] 470 | ), 471 | ) 472 | ) 473 | 474 | l_yingshou = ( 475 | Line() 476 | .add_xaxis([str(x) for x in list(year_report_test_sum['year'])]) 477 | .add_yaxis("营业总收入", list(year_report_test_sum['营业总收入']), 478 | markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_="average")])) 479 | .add_yaxis("主营业务收入", list(year_report_test_sum['主营业务收入']), 480 | markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_="average")])) 481 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年营收")) 482 | ) 483 | 484 | item = ['营业总收入', '主营业务收入'] 485 | yingshou1 = [float(year_report_test_sum.iloc[0]['营业总收入']), float(year_report_test_sum.iloc[0]['主营业务收入'])] 486 | yingshou2 = [float(year_report_test_sum.iloc[1]['营业总收入']), float(year_report_test_sum.iloc[1]['主营业务收入'])] 487 | yingshou3 = [float(year_report_test_sum.iloc[2]['营业总收入']), float(year_report_test_sum.iloc[2]['主营业务收入'])] 488 | 489 | p_yingshou = ( 490 | Pie() 491 | .add("", [list(z) for z in zip(item, yingshou1)], radius='30%', center=["20%", "50%"]) 492 | .add("", [list(z) for z in zip(item, yingshou2)], radius='30%', center=["50%", "50%"]) 493 | .add("", [list(z) for z in zip(item, yingshou3)], radius='30%', center=["80%", "50%"]) 494 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年营收/主营收")) 495 | .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: \n{c}")) 496 | ) 497 | 498 | bar_lirun = ( 499 | Bar() 500 | .add_xaxis(list(year_report_test_sum['year'])) 501 | .add_yaxis("利润总额", list(year_report_test_sum['利润总额'])) 502 | .add_yaxis("净利润", list(year_report_test_sum['净利润'])) 503 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年利润")) 504 | .set_series_opts( 505 | label_opts=opts.LabelOpts(is_show=False), 506 | markline_opts=opts.MarkLineOpts( 507 | data=[ 508 | opts.MarkLineItem(type_="average", name="平均值"), 509 | ] 510 | ), 511 | ) 512 | ) 513 | 514 | l_nashui = ( 515 | Line() 516 | .add_xaxis([str(x) for x in list(year_report_test_sum['year'])]) 517 | .add_yaxis("纳税总额", list(year_report_test_sum['纳税总额']), 518 | markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_="average")]), 519 | markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="min")]),) 520 | .set_global_opts(title_opts=opts.TitleOpts(title="近三年纳税")) 521 | ) 522 | return render(request, 'single_result_visualize_year.html', {'bar_zichan': bar_zichan.render_embed(), 523 | 'l_yingshou': l_yingshou.render_embed(), 524 | 'p_yingshou': p_yingshou.render_embed(), 525 | 'bar_lirun': bar_lirun.render_embed(), 526 | 'l_nashui': l_nashui.render_embed() 527 | }) -------------------------------------------------------------------------------- /LICENSE: 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Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | --------------------------------------------------------------------------------