在熊猫中附加一个带有列表的数据框作为行

Question

I am calculating the Levenshtein distance between the input text and a list. I want to store this information in a data frame for further analysis later.

I am having issues assigning this list produced by my function to the created dataframe.

col_list = data_df.clean_text_items.unique()
levenshtein_ratio_matrix_df = pd.DataFrame(columns= col_list)

def levenshtein_compare_to_list(row):
    row_levenshtein_ratio = []

    for i in collist:
        row_levenshtein_ratio.append(levenshtein (row['clean_text_source_item'], i))

    levenshtein_ratio_matrix_df.append(row_levenshtein_ratio)

for index, row in data_df.iterrows():
    levenshtein_compare_to_list(row) 

The following runs, and if I print out row_levensthein_ratio per loop it shows the correct values, but it doesn't actually append the data frame. (levenshtein_ratio_matrix_df is left blank)

Answer 1

Found the answer

  df_length = len(levenshtein_ratio_matrix_df)
  levenshtein_ratio_matrix_df.loc[df_length] = row_levenshtein_ratio

Instead of

 levenshtein_ratio_matrix_df.append(row_levenshtein_ratio)