python how to add columns to a pandas dataframe
# Basic syntax:
pandas_dataframe['new_column_name'] = ['list', 'of', 'column', 'values']
# Note, the list of column values must have length equal to the number
# of rows in the pandas dataframe you are adding it to.
# Add column in which all rows will be value:
pandas_dataframe['new_column_name'] = value
# Where value can be a string, an int, a float, and etcHow 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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