pandas filter string contain
df[df['A'].str.contains("hello")]pandas filter string contain
df[df['A'].str.contains("hello")]pandas select rows that contain substring
# Basic syntax to select rows that contain one substring:
import pandas as pd
df[df['column_name'].str.contains('substring')]
# Note, this only returns rows that contain substring in the specified
# column, it doesn't look for the substring in all columns
# Note, substring can be replaced with any REGEX expression
# Basic syntax to select rows that contain 2+ substrings:
import pandas as pd
df[df['column_name'].str.contains('substring_1|substring_2')]
# Where you can keep adding substrings to look for separated by |
# Basic syntax to select rows that do not contain substring:
import pandas as pd
df[~df['column_name'].str.contains('substring')]
# Where the ~ acts as a NOT to negate the results of the searchpanda search strings in column
# find rows in `df1` which contain "foo" followed by something
df1[df1['col'].str.contains(r'foo(?!$)')]
col
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