pandas apply function to column
df['a'] = df['a'].apply(lambda x: x + 1)
pandas apply function to column
df['a'] = df['a'].apply(lambda x: x + 1)
pandas create new column
#using the insert function:
df.insert(location, column_name, list_of_values)
#example
df.insert(0, 'new_column', ['a','b','c'])
#explanation:
#put "new_column" as first column of the dataframe
#and puts 'a','b' and 'c' as values
#using array-like access:
df['new_column_name'] = value
#df stands for dataframe
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