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.

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

In [1]: import pandas as pd

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

In [3]: a = 1

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

a = 1
print(a)