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        "author": "Anthony Monthe (2uluPro)",
        "author_email": "amonthe@cloudspectator.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Environment :: Web Environment",
            "Framework :: Django",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5"
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        "description": "============\ndjango-pivot\n============\n\ndjango-pivot is a wrapper around numpy, pandas and django-pandas letting\nyou easily manipulate pivot tables on your queryset.\n\nInstall\n=======\n\n::\n\n  pip install django-pivot2\n  \nModify your model(s) to use ``django_pandas.managers.DataFrameManager`` or\n``django_pandas.managers.DataFrameQuerySet``: ::\n\n  class LongTimeSeries(models.Model):\n    date_ix = models.DateTimeField()\n    series_name = models.CharField(max_length=100)\n    value = models.FloatField()\n\n    objects = DataFrameManager()\n    \nUsage\n=====\n\nThis app basicaly gives APIs to request a pivot table. Everything is not automatic\nand developer must always declare:\n\n- The possible values\n- The possible rows and columns\n\nAnd for a end-user the API will ask\n\n- Values\n- Rows\n- Columns\n- Aggregation functions\n- Applied function\n- Format\n\nAs class-based view\n-------------------\n\nA mixin is available to compose you own pivot. It has the following behavior:\n- Display a form to collect parameters of pivot table\n- Display pivot table as HTML if valid input is given\n- Download data as file with format given in form\n\nExample: ::\n\n  from django_filters.views import FilterView\n  from django_pivot.views import PivotView\n  from myapp import models\n\n  class LongTimeSeriesPivotView(PivotView, FilterView):\n      template_name = \"pivot.html\n      model = models.LongTimeSeries\n      \n      values_choices = ['date_ix', 'value']\n      rows_choices = cols_choices = ['serie_name', 'date_ix', 'value']\n      \n``PivotView`` is compatible with Django's ``ListView``, django-filters' ``FilterView``\nor any kind of view with the same behavior.\n\n\nWith graphene-django\n--------------------\n\nComing soon\n\nWith graphene-django-extras\n---------------------------\n\nExample of schema.py: ::\n\n  from graphene_django import DjangoObjectType\n  from django_pivot.contrib.graphene_django_extras import PivotField\n  from myapp import models\n\n  class LongTimeSeriesType(DjangoObjectType):\n      class Meta:\n          model = models.LongTimeSeries\n  \n  class Query:\n      pivot_long_time_series = PivotField(\n          LongTimeSeriesType,\n          filterset_class=filtersets.LongTimeSeriesFilter,\n          values_choices=['date_ix', 'value'],\n          rows_choices=['serie_name', 'date_ix', 'value'],\n          cols_choices=['serie_name', 'date_ix', 'value'],\n      )\n      \nExample of request: ::\n\n  query {\n    pivot_long_time_series (values: [\"value\"], rows: [\"serie_name\"], cols: [\"value\"], aggfuncs: [\"mean\"])\n  }\n\nAs GraphQL is supposed to return JSON only and pandas JSON format is ..hum... weird,\nwe convert pivot_table into CSV and after into a list of list, so fully compatible.\n\nWith Django REST Framework\n--------------------------\n\nComing soon",
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        "license": "BSD",
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