Davrot at 17:12, 17 October 2025

2025-10-17T17:12:03Z

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 Pandas can be e.g. used for handling meta data from experiments. It is a kind of SQL / Excel extension for Python.
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 == [https://pandas.pydata.org/ Pandas] ==
-The two most important data types of Pandas are: * Series * Data Frames<blockquote>“Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.”</blockquote>It is the basis for: * [https://docs.scipy.org/doc/scipy/reference/stats.html scipy.stats] &#x3E; This module contains a large number of probability distributions, summary and frequency statistics, correlation functions and statistical tests, masked statistics, kernel density estimation, quasi-Monte Carlo functionality, and more. * [https://pingouin-stats.org/build/html/index.html Pingouin] &#x3E; Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. * [https://rpy2.github.io/ rPy2] &#x3E; rpy2 is an interface to R running embedded in a Python process.
+The two most important data types of Pandas are:
 == [https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas-series Pandas.Series] ==
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 <syntaxhighlight lang="python">property Series.iloc</syntaxhighlight><blockquote>Purely integer-location based indexing for selection by position.
-.iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array. .iloc will raise IndexError if a requested indexer is out-of-bounds, except slice indexers which allow out-of-bounds indexing (this conforms with python/numpy slice semantics). * An integer, e.g. 5. * A list or array of integers, e.g. [4, 3, 0]. * A slice object with ints, e.g. 1:7. * A boolean array. * A callable function with one argument (the calling Series or DataFrame) and that returns valid output for indexing (one of the above). This is useful in method chains, when you don’t have a reference to the calling object, but would like to base your selection on some value. * A tuple of row and column indexes. The tuple elements consist of one of the above inputs, e.g. (0, 1).</blockquote><syntaxhighlight lang="python">import pandas as pd
+.iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array. .iloc will raise IndexError if a requested indexer is out-of-bounds, except slice indexers which allow out-of-bounds indexing (this conforms with python/numpy slice semantics).
 index_1 = pd.Series(["Food", "HappyPlace", "Favorite"])
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 .iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array.
-Allowed inputs are: * An integer, e.g. 5. * A list or array of integers, e.g. [4, 3, 0]. * A slice object with ints, e.g. 1:7. * A boolean array. * A callable function with one argument (the calling Series or DataFrame) and that returns valid output for indexing (one of the above). This is useful in method chains, when you don’t have a reference to the calling object, but would like to base your selection on some value. * A tuple of row and column indexes. The tuple elements consist of one of the above inputs, e.g. (0, 1).
+Allowed inputs are:
 .iloc will raise IndexError if a requested indexer is out-of-bounds, except slice indexers which allow out-of-bounds indexing (this conforms with python/numpy slice semantics).</blockquote><syntaxhighlight lang="python">DataFrame.sum(axis=0, skipna=True, numeric_only=False, min_count=0, **kwargs)</syntaxhighlight><blockquote>Return the sum of the values over the requested axis.

Davrot: Created page with "== The goal == Pandas can be e.g. used for handling meta data from experiments. It is a kind of SQL / Excel extension for Python. Questions to [mailto:davrot@uni-bremen.de David Rotermund]pip install pandas == [https://pandas.pydata.org/ Pandas] == The two most important data types of Pandas are: * Series * Data Frames
“Pandas is a fast, powerful, flexible and easy to use open source data analysis and m..."

2025-10-17T14:22:53Z

Created page with "== The goal == Pandas can be e.g. used for handling meta data from experiments. It is a kind of SQL / Excel extension for Python. Questions to [mailto:davrot@uni-bremen.de David Rotermund]<syntaxhighlight lang="shell">pip install pandas</syntaxhighlight> == [https://pandas.pydata.org/ Pandas] == The two most important data types of Pandas are: * Series * Data Frames<blockquote>“Pandas is a fast, powerful, flexible and easy to use open source data analysis and m..."

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Davrot at 17:12, 17 October 2025