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20 changes: 12 additions & 8 deletions doc/source/user_guide/style.ipynb
Original file line number Diff line number Diff line change
@@ -1,21 +1,24 @@
{
"cells": [
{
"cell_type": "markdown",
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"# Styling\n",
"Styling\n",
"=======\n",
"\n",
"This document is written as a Jupyter Notebook, and can be viewed or downloaded [here](https://nbviewer.ipython.org/github/pandas-dev/pandas/blob/master/doc/source/user_guide/style.ipynb).\n",
"\n",
"You can apply **conditional formatting**, the visual styling of a DataFrame\n",
"depending on the data within, by using the ``DataFrame.style`` property.\n",
"This is a property that returns a ``Styler`` object, which has\n",
"depending on the data within, by using the :attr:`pandas.DataFrame.style` property.\n",
"This is a property that returns a :class:`~pandas.io.formats.style.Styler` object, which has\n",
"useful methods for formatting and displaying DataFrames.\n",
"\n",
"The styling is accomplished using CSS.\n",
"You write \"style functions\" that take scalars, `DataFrame`s or `Series`, and return *like-indexed* DataFrames or Series with CSS `\"attribute: value\"` pairs for the values.\n",
"These functions can be incrementally passed to the `Styler` which collects the styles before rendering.\n",
"You write \"style functions\" that take scalars, :attr:`~pandas.DataFrame`\\ s or :attr:`~pandas.Series`, and return *like-indexed* DataFrames or Series with CSS `\"attribute: value\"` pairs for the values.\n",
"These functions can be incrementally passed to the :class:`~pandas.io.formats.style.Styler` which collects the styles before rendering.\n",
"\n",
"CSS is a flexible language and as such there may be multiple ways of achieving the same result, with potential\n",
"advantages or disadvantages, which we try to illustrate."
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