replacing values in pandas dataframe
df['coloum'] = df['coloum'].replace(['value_1','valu_2'],'new_value')replacing values in pandas dataframe
df['coloum'] = df['coloum'].replace(['value_1','valu_2'],'new_value')python replace pandas df elements if they aren't in a list
# Basic syntax:
df.loc[~df['col_name'].isin(list_of_allowed_vals), "col_name"] = "None"
# Example usage:
# Build example dataframe:
dataframe = pd.DataFrame(['ok','keep','wtf','ok'], columns=['col_name'])
print(dataframe)
col_name
0 ok
1 keep
2 wtf
3 ok
list_of_allowed_vals = ['ok', 'keep'] # Define list of elements to keep
# Replace values that aren't the list of allowed values with "None":
dataframe.loc[~dataframe['col_name'].isin(list_of_allowed_vals), "col_name"] = "None"
print(dataframe)
col_name
0 ok
1 keep
2 None
3 ok
# If you want to do this on all columns of the dataframe, run:
dataframe[~dataframe.isin(list_of_allowed_vals)] = "None"Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
