User Guide#

The User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas approaches the problem, with many examples throughout.

Users brand-new to pandas should start with 10 minutes to pandas.

For a high level summary of the pandas fundamentals, see Intro to data structures and Essential basic functionality.

Further information on any specific method can be obtained in the API reference.

How to read these guides#

In these guides you will see input code inside code blocks such as:

import pandas as pd
pd.DataFrame({'A': [1, 2, 3]})


In [1]: import pandas as pd

In [2]: pd.DataFrame({'A': [1, 2, 3]})
0  1
1  2
2  3

The first block is a standard python input, while in the second the In [1]: indicates the input is inside a notebook. In Jupyter Notebooks the last line is printed and plots are shown inline.

For example:

In [3]: a = 1

In [4]: a
Out[4]: 1

is equivalent to:

a = 1