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.. _core: | ||
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*************** | ||
Data Structures | ||
*************** | ||
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.. currentmodule:: pandas | ||
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.. toctree:: | ||
:maxdepth: 2 | ||
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indexobj | ||
series | ||
dataframe | ||
panel | ||
.. _core: | ||
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*************** | ||
Data Structures | ||
*************** | ||
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||
.. currentmodule:: pandas | ||
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||
.. toctree:: | ||
:maxdepth: 2 | ||
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||
indexobj | ||
series | ||
dataframe | ||
panel |
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.. Pandas documentation master file, created by | ||
pandas: a python data analysis library | ||
====================================== | ||
|
||
:mod:`pandas` is a python package providing convenient data structures | ||
for time series, cross-sectional, or any other form of "labeled" data, | ||
with tools for building statistical and econometric models. | ||
|
||
This library was created with the following design principles: | ||
|
||
- Working with time series and cross-sectional data should be easy | ||
- The user should not have to worry (much) about handling missing data | ||
- Data alignment should be automatic and transparent | ||
- Speed matters | ||
- Perhaps most importantly: *things should work just like you want them to* | ||
|
||
Many of these principles are here to address the shortcomings | ||
frequently experienced using other languages / scientific research | ||
environments. In MATLAB, for example, you spend a lot of time coercing | ||
data into matrices, cleaning and aligning it, and keeping everything | ||
homogeneous. You have to use lots of functions like **nanmean, nanstd, | ||
repmat** (for broadcasting), and other functions which help you to | ||
maintain reliable data. Using `NumPy <http://www.numpy.org>`__ and a | ||
Pythonic approach, pandas helps hide the dirty details of working with | ||
unclean data, allowing you to focus on the problem you're trying to | ||
solve rather than the implementation. | ||
|
||
pandas is implemented primarily using NumPy and is intended to be able | ||
to integrate very easily with other NumPy-based scientific libraries, | ||
such as :mod:`scikits.statsmodels`. | ||
|
||
.. note:: | ||
|
||
This documentation assumes general familiarity with NumPy. If you | ||
haven't used NumPy much or at all, please check out the `NumPy | ||
documentation <http://docs.scipy.org>`__ first. | ||
|
||
See the package overview for more detail about what's in the library. | ||
|
||
User manual | ||
----------- | ||
|
||
`PDF Version <pandas.pdf>`__ | ||
|
||
.. module:: pandas | ||
|
||
**Date**: |today| | ||
|
||
**Version**: |version| | ||
|
||
**License:** BSD | ||
|
||
**Requirements:** python 2.4 to 2.7, NumPy, and dateutil | ||
|
||
**Code Repository:** http://github.com/wesm/pandas | ||
|
||
Library documentation | ||
~~~~~~~~~~~~~~~~~~~~~ | ||
|
||
.. toctree:: | ||
:maxdepth: 2 | ||
|
||
overview | ||
core | ||
groupby | ||
datetools | ||
stats | ||
r_interface | ||
io | ||
|
||
Other topics of interest | ||
~~~~~~~~~~~~~~~~~~~~~~~~ | ||
|
||
.. toctree:: | ||
:maxdepth: 2 | ||
|
||
examples | ||
frame_vs_matrix | ||
r_guide | ||
missing_data | ||
related | ||
|
||
Indices and tables | ||
------------------ | ||
|
||
* :ref:`genindex` | ||
* :ref:`modindex` | ||
* :ref:`search` | ||
|
||
Contact | ||
------- | ||
|
||
Please feel free to send comments or questions directly to | ||
wesmckinn@gmail.com or the pystatsmodels mailing list. | ||
.. Pandas documentation master file, created by | ||
pandas: a python data analysis library | ||
====================================== | ||
|
||
:mod:`pandas` is a python package providing convenient data structures | ||
for time series, cross-sectional, or any other form of "labeled" data, | ||
with tools for building statistical and econometric models. | ||
|
||
This library was created with the following design principles: | ||
|
||
- Working with time series and cross-sectional data should be easy | ||
- The user should not have to worry (much) about handling missing data | ||
- Data alignment should be automatic and transparent | ||
- Speed matters | ||
- Perhaps most importantly: *things should work just like you want them to* | ||
|
||
Many of these principles are here to address the shortcomings | ||
frequently experienced using other languages / scientific research | ||
environments. In MATLAB, for example, you spend a lot of time coercing | ||
data into matrices, cleaning and aligning it, and keeping everything | ||
homogeneous. You have to use lots of functions like **nanmean, nanstd, | ||
repmat** (for broadcasting), and other functions which help you to | ||
maintain reliable data. Using `NumPy <http://www.numpy.org>`__ and a | ||
Pythonic approach, pandas helps hide the dirty details of working with | ||
unclean data, allowing you to focus on the problem you're trying to | ||
solve rather than the implementation. | ||
|
||
pandas is implemented primarily using NumPy and is intended to be able | ||
to integrate very easily with other NumPy-based scientific libraries, | ||
such as :mod:`scikits.statsmodels`. | ||
|
||
.. note:: | ||
|
||
This documentation assumes general familiarity with NumPy. If you | ||
haven't used NumPy much or at all, please check out the `NumPy | ||
documentation <http://docs.scipy.org>`__ first. | ||
|
||
See the package overview for more detail about what's in the library. | ||
|
||
User manual | ||
----------- | ||
|
||
`PDF Version <pandas.pdf>`__ | ||
|
||
.. module:: pandas | ||
|
||
**Date**: |today| | ||
|
||
**Version**: |version| | ||
|
||
**License:** BSD | ||
|
||
**Requirements:** python 2.4 to 2.7, NumPy, and dateutil | ||
|
||
**Code Repository:** http://github.com/wesm/pandas | ||
|
||
Library documentation | ||
~~~~~~~~~~~~~~~~~~~~~ | ||
|
||
.. toctree:: | ||
:maxdepth: 2 | ||
|
||
overview | ||
core | ||
groupby | ||
datetools | ||
stats | ||
r_interface | ||
io | ||
|
||
Other topics of interest | ||
~~~~~~~~~~~~~~~~~~~~~~~~ | ||
|
||
.. toctree:: | ||
:maxdepth: 2 | ||
|
||
examples | ||
frame_vs_matrix | ||
r_guide | ||
missing_data | ||
related | ||
|
||
Indices and tables | ||
------------------ | ||
|
||
* :ref:`genindex` | ||
* :ref:`modindex` | ||
* :ref:`search` | ||
|
||
Contact | ||
------- | ||
|
||
Please feel free to send comments or questions directly to | ||
wesmckinn@gmail.com or the pystatsmodels mailing list. |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,15 +1,15 @@ | ||
.. currentmodule:: pandas.stats.api | ||
|
||
.. _stats: | ||
|
||
********************************** | ||
Built-in statistical functionality | ||
********************************** | ||
|
||
.. currentmodule:: pandas | ||
|
||
.. toctree:: | ||
:maxdepth: 2 | ||
|
||
stats_moments | ||
stats_ols | ||
.. currentmodule:: pandas.stats.api | ||
|
||
.. _stats: | ||
|
||
********************************** | ||
Built-in statistical functionality | ||
********************************** | ||
|
||
.. currentmodule:: pandas | ||
|
||
.. toctree:: | ||
:maxdepth: 2 | ||
|
||
stats_moments | ||
stats_ols |
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