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DOC: Remove errant backslashes from the Ecosystem page. (#29446)
* DOC: Remove errant backslashes from the Ecosystem tab on the new website.
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web/pandas/community/ecosystem.md

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### [yhat/ggpy](https://github.com/yhat/ggpy)
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Hadley Wickham\'s [ggplot2](https://ggplot2.tidyverse.org/) is a
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Hadley Wickham's [ggplot2](https://ggplot2.tidyverse.org/) is a
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foundational exploratory visualization package for the R language. Based
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on [\"The Grammar of
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Graphics\"](https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html)
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on ["The Grammar of
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Graphics"](https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html)
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it provides a powerful, declarative and extremely general way to
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generate bespoke plots of any kind of data. It\'s really quite
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generate bespoke plots of any kind of data. It's really quite
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incredible. Various implementations to other languages are available,
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but a faithful implementation for Python users has long been missing.
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Although still young (as of Jan-2014), the
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### [IPython Vega](https://github.com/vega/ipyvega)
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[IPython Vega](https://github.com/vega/ipyvega) leverages [Vega
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\<https://github.com/trifacta/vega\>]\_\_ to create plots
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within Jupyter Notebook.
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[IPython Vega](https://github.com/vega/ipyvega) leverages [Vega](https://github.com/vega/vega) to create plots within Jupyter Notebook.
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### [Plotly](https://plot.ly/python)
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### [quantopian/qgrid](https://github.com/quantopian/qgrid)
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qgrid is \"an interactive grid for sorting and filtering DataFrames in
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IPython Notebook\" built with SlickGrid.
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qgrid is "an interactive grid for sorting and filtering DataFrames in
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IPython Notebook" built with SlickGrid.
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### [Spyder](https://www.spyder-ide.org/)
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Its [Variable
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Explorer](https://docs.spyder-ide.org/variableexplorer.html) allows
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users to view, manipulate and edit pandas `Index`, `Series`, and
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`DataFrame` objects like a \"spreadsheet\", including copying and
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modifying values, sorting, displaying a \"heatmap\", converting data
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`DataFrame` objects like a "spreadsheet", including copying and
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modifying values, sorting, displaying a "heatmap", converting data
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types and more. Pandas objects can also be renamed, duplicated, new
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columns added, copyed/pasted to/from the clipboard (as TSV), and
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saved/loaded to/from a file. Spyder can also import data from a variety
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of plain text and binary files or the clipboard into a new pandas
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DataFrame via a sophisticated import wizard.
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Most pandas classes, methods and data attributes can be autocompleted in
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Spyder\'s [Editor](https://docs.spyder-ide.org/editor.html) and [IPython
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Console](https://docs.spyder-ide.org/ipythonconsole.html), and Spyder\'s
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Spyder's [Editor](https://docs.spyder-ide.org/editor.html) and [IPython
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Console](https://docs.spyder-ide.org/ipythonconsole.html), and Spyder's
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[Help pane](https://docs.spyder-ide.org/help.html) can retrieve and
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render Numpydoc documentation on pandas objects in rich text with Sphinx
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both automatically and on-demand.
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### [cyberpandas](https://cyberpandas.readthedocs.io/en/latest)
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Cyberpandas provides an extension type for storing arrays of IP
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Addresses. These arrays can be stored inside pandas\' Series and
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Addresses. These arrays can be stored inside pandas' Series and
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DataFrame.
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## Accessors
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`extension accessors <extending.register-accessors>`. This is for users to discover new accessors and for library
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authors to coordinate on the namespace.
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Library Accessor Classes
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------------------------------------------------------------- ---------- -----------------------
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[cyberpandas](https://cyberpandas.readthedocs.io/en/latest) `ip` `Series`
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[pdvega](https://altair-viz.github.io/pdvega/) `vgplot` `Series`, `DataFrame`
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| Library | Accessor | Classes |
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| ------------------------------------------------------------|----------|-----------------------|
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| [cyberpandas](https://cyberpandas.readthedocs.io/en/latest) | `ip` | `Series` |
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| [pdvega](https://altair-viz.github.io/pdvega/) | `vgplot` | `Series`, `DataFrame` |

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