1/2/2016 10 Minutes to pandas — pandas 0.17.1 documentation

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10Minutestopandas

Thisisashortintroductiontopandas,gearedmainlyfornewusers.Youcanseemorecomplex

recipesintheCookbook

Customarily,weimportasfollows:

In [1]: import pandas as pd

In [2]: import numpy as np

In [3]: import matplotlib.pyplot as plt

ObjectCreation

SeetheDataStructureIntrosection

CreatingaSeriesbypassingalistofvalues,lettingpandascreateadefaultintegerindex:

In [4]: s = pd.Series([1,3,5,np.nan,6,8])

In [5]: s

Out[5]:

0 1

1 3

2 5

3 NaN

4 6

5 8

dtype: float64

CreatingaDataFramebypassinganumpyarray,withadatetimeindexandlabeledcolumns:

In [6]: dates = pd.date_range('20130101', periods=6)

In [7]: dates

Out[7]:

DatetimeIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',

'2013-01-05', '2013-01-06'],

dtype='datetime64[ns]', freq='D')

In [8]: df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=list('ABCD'))

In [9]: df

Out[9]:

A B C D

2013-01-01 0.469112 -0.282863 -1.509059 -1.135632

2013-01-02 1.212112 -0.173215 0.119209 -1.044236

10 Minutes to Pandas 1647598775

Computer Programming (CS F111)