Data Wrangling in Python – How to Select Rows When Columns Contain Certain Values

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Select Rows When Columns Contain Certain Values

Preliminaries


/* Import modules */
import pandas as pd

/* Set ipython's max row display */
pd.set_option('display.max_row', 1000)

/* Set iPython's max column width to 50 */
pd.set_option('display.max_columns', 50)

Create an example dataframe

/* Create an example dataframe */
data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], 
        'year': [2012, 2012, 2013, 2014, 2014], 
        'reports': [4, 24, 31, 2, 3]}

df = pd.DataFrame(data, index = ['Cochice', 'Pima', 'Santa Cruz', 'Maricopa', 'Yuma'])
df
name reports year
Cochice Jason 4 2012
Pima Molly 24 2012
Santa Cruz Tina 31 2013
Maricopa Jake 2 2014
Yuma Amy 3 2014

Grab rows based on column values

value_list = ['Tina', 'Molly', 'Jason']
/* Grab DataFrame rows where column has certain values */
df[df.name.isin(value_list)]
name reports year
Cochice Jason 4 2012
Pima Molly 24 2012
Santa Cruz Tina 31 2013
/* Grab DataFrame rows where column doesn't have certain values */
df[~df.name.isin(value_list)]
name reports year
Maricopa Jake 2 2014
Yuma Amy 3 2014

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