Answers for "replace function pandas"

replace column values pandas

df['column'] = df['column'].str.replace(',','-')
df

Posted by: Guest on February-25-2020

pandas dataframe replace inf

df.replace([np.inf, -np.inf], np.nan)

Posted by: Guest on June-02-2020

str replace pandas

>>> pd.Series(['foo', 'fuz', np.nan]).str.replace('f.', 'ba', regex=True)
0    bao
1    baz
2    NaN
dtype: object

Posted by: Guest on September-07-2020

pandas replace word begins with contains

df.sport = df.sport.apply(lambda x: 'ball sport' if 'ball' in x else x)

Posted by: Guest on July-01-2020

Code answers related to "replace function pandas"