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Han Lu","email":"xinghan@plotly.com"},"license":"MIT","homepage":"https://bitbucket.org/trialzen/dash-pivottable","repository":{"url":"git+https://bitbucket.org/trialzen/dash-pivottable.git","type":"git"},"description":"Implementation of react-pivottable in Dash (Python)","maintainers":[{"email":"cedric@trialzen.com","name":"trialzen"},{"email":"sebastien@mottet.dev","name":"sebastienmottet"}],"readme":"[![CRAN status](https://www.r-pkg.org/badges/version-ago/dashPivottable)](https://cran.r-project.org/web/packages/dashPivottable/index.html)\n[![](http://cranlogs.r-pkg.org/badges/grand-total/dashPivottable)](https://cran.r-project.org/package=dashPivottable)\n[![](https://cranlogs.r-pkg.org/badges/dashPivottable)](https://cran.r-project.org/package=dashPivottable)\n\n# Dash Pivottable\n\nDash Pivottable is a Dash component wrapping the [react-pivottable library](https://github.com/plotly/react-pivottable/), created by Nicolas Kruchten. It lets you build interactive pivot tables using purely Python.\n\n![pivot table demo](images/pivottable-demo.gif)\n\n## Getting Started\n\n### Install with virtualenv\nFirst, install `virtualenv` with `pip install virtualenv`.\n\nThen, make sure to clone this project, create a venv and install requirements:\n```commandline\ngit clone https://github.com/plotly/dash-pivottable.git\ncd dash_pivottable\npython3 -m venv ./venv\nsource venv/bin/activate\npip install -r requirements.txt\n```\n\nAnd simply run the example in the venv:\n```commandline\npython usage.py\n```\n\n## References\n\nThe following parameters can be modified:\n- `id` *(string; optional)*: The ID used to identify this component in Dash callbacks\n- `data` *(list; optional)*: The input data\n- `hiddenAttributes` *(list; optional)*: contains attribute names to omit from the UI\n- `hiddenFromAggregators` *(list; optional)*: contains attribute names to omit from the aggregator arguments dropdowns\n- `hiddenFromDragDrop` *(list; optional)*: contains attribute names to omit from the drag'n'drop portion of the UI\n- `menuLimit` *(number; optional)*: maximum number of values to list in the double-click menu\n- `unusedOrientationCutoff` *(number; optional)*: If the attributes' names' combined length in characters exceeds this\nvalue then the unused attributes area will be shown vertically to the\nleft of the UI instead of horizontally above it. 0 therefore means\n'always vertical', and Infinity means 'always horizontal'.\n\nThe following props can be used as an input to callbacks, but can't be modified:\n- `cols` *(list; optional)*: Which columns are currently in the column area\n- `colOrder` *(string; optional)*: The order in which column data is provided to the renderer, must be one\nof \"key_a_to_z\", \"value_a_to_z\", \"value_z_to_a\", ordering by value\norders by column total\n- `rows` *(list; optional)*: Which rows is currently inside the row area.\n- `rowOrder` *(string; optional)*: The order in which row data is provided to the renderer, must be one\nof \"key_a_to_z\", \"value_a_to_z\", \"value_z_to_a\", ordering by value\norders by row total\n- `aggregatorName` *(string; optional)*: Which aggregator is currently selected. E.g. Count, Sum, Average, etc.\n- `vals` *(list; optional)*: Attribute names used as arguments to aggregator (gets passed to aggregator generating function)\n- `rendererName` *(string; optional)*: Which renderer is currently selected. E.g. Table, Line Chart, Scatter\n- `valueFilter` *(dictionnary; optional)*: Object whose keys are attribute names and values are objects of attribute value-boolean pairs which denote records to include or exclude from computation and rendering; used to prepopulate the filter menus that appear on double-click\n\nDefault Values:\n* `menuLimit`: 500\n* `unusedOrientationCutoff`: 85\n* `hiddenAttributes`: []\n* `hiddenFromAggregators`: []\n* `hiddenFromDragDrop`: []\n\n\n## FAQ\n\nYou can find the following FAQs in contributing.md:\n- [Using a modified version of `react-pivottable` in your own `dash-pivottable` project](https://github.com/plotly/dash-pivottable/blob/master/CONTRIBUTING.md#contributing-faq)\n","readmeFilename":"README.md"}