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 dataframeHow to Create new dataframe columns from existing column
new_df = df.filter(like='n_')
.replace(0., np.inf)
.apply(lambda x: sorted(x), axis=1, result_type='expand')
.replace(np.inf, 0.0)
new_df.columns = ['new_1', 'new_2', 'new_3']
out = pd.concat([df, new_df], axis=1)Copyright © 2021 Codeinu
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