Skip to content

DOC: Remove errant backslashes from the Ecosystem tab on new website. #29446

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Nov 7, 2019
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
34 changes: 16 additions & 18 deletions web/pandas/community/ecosystem.md
Original file line number Diff line number Diff line change
Expand Up @@ -86,12 +86,12 @@ models to emphasize patterns in a dataset.

### [yhat/ggpy](https://github.com/yhat/ggpy)

Hadley Wickham\'s [ggplot2](https://ggplot2.tidyverse.org/) is a
Hadley Wickham's [ggplot2](https://ggplot2.tidyverse.org/) is a
foundational exploratory visualization package for the R language. Based
on [\"The Grammar of
Graphics\"](https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html)
on ["The Grammar of
Graphics"](https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html)
it provides a powerful, declarative and extremely general way to
generate bespoke plots of any kind of data. It\'s really quite
generate bespoke plots of any kind of data. It's really quite
incredible. Various implementations to other languages are available,
but a faithful implementation for Python users has long been missing.
Although still young (as of Jan-2014), the
Expand All @@ -100,9 +100,7 @@ quickly in that direction.

### [IPython Vega](https://github.com/vega/ipyvega)

[IPython Vega](https://github.com/vega/ipyvega) leverages [Vega
\<https://github.com/trifacta/vega\>]\_\_ to create plots
within Jupyter Notebook.
[IPython Vega](https://github.com/vega/ipyvega) leverages [Vega](https://github.com/vega/vega) to create plots within Jupyter Notebook.

### [Plotly](https://plot.ly/python)

Expand Down Expand Up @@ -158,8 +156,8 @@ for pandas `display.` settings.

### [quantopian/qgrid](https://github.com/quantopian/qgrid)

qgrid is \"an interactive grid for sorting and filtering DataFrames in
IPython Notebook\" built with SlickGrid.
qgrid is "an interactive grid for sorting and filtering DataFrames in
IPython Notebook" built with SlickGrid.

### [Spyder](https://www.spyder-ide.org/)

Expand All @@ -172,17 +170,17 @@ environment like MATLAB or Rstudio.
Its [Variable
Explorer](https://docs.spyder-ide.org/variableexplorer.html) allows
users to view, manipulate and edit pandas `Index`, `Series`, and
`DataFrame` objects like a \"spreadsheet\", including copying and
modifying values, sorting, displaying a \"heatmap\", converting data
`DataFrame` objects like a "spreadsheet", including copying and
modifying values, sorting, displaying a "heatmap", converting data
types and more. Pandas objects can also be renamed, duplicated, new
columns added, copyed/pasted to/from the clipboard (as TSV), and
saved/loaded to/from a file. Spyder can also import data from a variety
of plain text and binary files or the clipboard into a new pandas
DataFrame via a sophisticated import wizard.

Most pandas classes, methods and data attributes can be autocompleted in
Spyder\'s [Editor](https://docs.spyder-ide.org/editor.html) and [IPython
Console](https://docs.spyder-ide.org/ipythonconsole.html), and Spyder\'s
Spyder's [Editor](https://docs.spyder-ide.org/editor.html) and [IPython
Console](https://docs.spyder-ide.org/ipythonconsole.html), and Spyder's
[Help pane](https://docs.spyder-ide.org/help.html) can retrieve and
render Numpydoc documentation on pandas objects in rich text with Sphinx
both automatically and on-demand.
Expand Down Expand Up @@ -355,7 +353,7 @@ which work well with pandas' data containers.
### [cyberpandas](https://cyberpandas.readthedocs.io/en/latest)

Cyberpandas provides an extension type for storing arrays of IP
Addresses. These arrays can be stored inside pandas\' Series and
Addresses. These arrays can be stored inside pandas' Series and
DataFrame.

## Accessors
Expand All @@ -364,7 +362,7 @@ A directory of projects providing
`extension accessors <extending.register-accessors>`. This is for users to discover new accessors and for library
authors to coordinate on the namespace.

Library Accessor Classes
------------------------------------------------------------- ---------- -----------------------
[cyberpandas](https://cyberpandas.readthedocs.io/en/latest) `ip` `Series`
[pdvega](https://altair-viz.github.io/pdvega/) `vgplot` `Series`, `DataFrame`
| Library | Accessor | Classes |
| ------------------------------------------------------------|----------|-----------------------|
| [cyberpandas](https://cyberpandas.readthedocs.io/en/latest) | `ip` | `Series` |
| [pdvega](https://altair-viz.github.io/pdvega/) | `vgplot` | `Series`, `DataFrame` |