PYTHON

split pandas row into multiple rows

def split_dataframe_rows(df,column_selectors):
    # we need to keep track of the ordering of the columns
    def _split_list_to_rows(row,row_accumulator,column_selector):
        split_rows = {}
        max_split = 0
        for column_selector in column_selectors:
            split_row = row[column_selector]
            split_rows[column_selector] = split_row
            if len(split_row) > max_split:
                max_split = len(split_row)
            
        for i in range(max_split):
            new_row = row.to_dict()
            for column_selector in column_selectors:
                try:
                    new_row[column_selector] = split_rows[column_selector].pop(0)
                except IndexError:
                    new_row[column_selector] = ''
            row_accumulator.append(new_row)

    new_rows = []
    df.apply(_split_list_to_rows,axis=1,args = (new_rows,column_selectors))
    new_df = pd.DataFrame(new_rows, columns=df.columns)
    return new_df

split rows into multiple columns in pandas

df = pd.DataFrame(df.Raw_info.values.reshape(-1, 3), 
                   columns=['Function_name', 'prop1', 'prop2'])

print(df) 
  Function_name            prop1            prop2
0    Function_1  internal_prop_1  external_prop_1
1    Function_2  internal_prop_2  external_prop_2
2    Function_3  internal_prop_3  external_prop_3