dataframe column contains string
df[df['A'].str.contains("hello")]dataframe column contains string
df[df['A'].str.contains("hello")]column contains substring python
df2 = df.filter(regex='spike')
print(df2)panda search strings in column
# find rows in `df1` which contain "foo" followed by something
df1[df1['col'].str.contains(r'foo(?!$)')]
col
1 foobarpython check if dataframe series contains string
mel_count=a['Names'].str.contains('Mel').sum()
if mel_count>0:
print ("There are {m} Mels".format(m=mel_count))Copyright © 2021 Codeinu
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