MultiIndex / Advanced Indexing
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This section covers indexing with a MultiIndex and more advanced indexing features. See the

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Frequently Asked Questions (FAQ)
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DataFrame memory usage As of pandas version 0.15.0, the memory usage of a dataframe (including the index) is shown when accessing

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pandas Ecosystem
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Increasingly, packages are being built on top of pandas to address specific needs in data preparation, analysis and visualization. This is encouraging because it means pandas

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Remote Data Access
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DataReader The sub-package pandas.io.data is removed in favor of a separately installable

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IO Tools (Text, CSV, HDF5, ...)
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The pandas I/O API is a set of top level reader functions accessed like pd.read_csv() that generally return a pandas object.

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Options and Settings
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Overview pandas has an options system that lets you customize some aspects of its behaviour, display-related options being those the user is most likely to adjust

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Time Series / Date functionality
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pandas has proven very successful as a tool for working with time series data, especially in the financial data analysis space. Using the NumPy datetime64

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Computational tools
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Statistical Functions Percent Change Series, DataFrame, and Panel

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Style
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New in version 0.17.1 Provisional:

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Comparison with R / R libraries
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Since pandas aims to provide a lot of the data manipulation and analysis functionality that people use

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