a-pandas-ex-excel-edit 0.11

If you have to change a lot of arbitrary values which don't have a clear pattern, use Excel!

Quickly edit Pandas DataFrames and Series in Excel

Use this methods to quickly edit your DataFrame with MS Excel.
Of course, Pandas is a lot better than Excel, but if you have to change a lot of arbitrary values which don't have a clear pattern, a GUI is imho the best choice.

pip install a-pandas-ex-excel-edit 

    #Here is an example:

    import pandas as pd
    from a_pandas_ex_excel_edit import pd_add_excel_editor    

    #pd_add_excel_editor will add 2 new methods:  
    #pandas.Series.s_edit_in_excel
    #pandas.DataFrame.d_edit_in_excel
    pd_add_excel_editor()   

    dframe = pd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv")
    #Let's add a row with lists, a tough data type to handle
    dframe['list_in_columns'] = [[[1]*10]] * len(dframe)   

         PassengerId  Survived  ...  Embarked                   list_in_columns
0              1         0  ...         S  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
1              2         1  ...         C  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
2              3         1  ...         S  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
3              4         1  ...         S  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
4              5         0  ...         S  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
..           ...       ...  ...       ...                               ...
886          887         0  ...         S  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
887          888         1  ...         S  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
888          889         0  ...         S  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
889          890         1  ...         C  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
890          891         0  ...         Q  [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
[891 rows x 13 columns]   

dframe.dtypes
Out[6]: 
PassengerId          int64
Survived             int64
Pclass               int64
Name                object
Sex                 object
Age                float64
SibSp                int64
Parch                int64
Ticket              object
Fare               float64
Cabin               object
Embarked            object
list_in_columns     object
dtype: object    

df = dframe.d_edit_in_excel() #DataFrames   

Out[7]: 
     PassengerId  Survived  ...  Embarked                       list_in_columns
0          10001      9999  ...   NOT YET  [[1, 99999, 1, 1, 1, 1, 1, 1, 1, 1]]
1          10000         1  ...         C      [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
2           9999         1  ...   NOT YET      [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
3           9998         1  ...   NOT YET      [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
4           9997         0  ...         S      [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
..           ...       ...  ...       ...                                   ...
886          887         0  ...         S      [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
887          888         1  ...         S      [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
888          889         0  ...         S      [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
889          890         1  ...         C      [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
890          891         0  ...         Q      [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
[891 rows x 13 columns]

   df.dtypes
Out[9]: 
PassengerId          uint16
Survived             uint16
Pclass                uint8
Name                 string
Sex                category
Age                  object
SibSp                 uint8
Parch                 uint8
Ticket               object
Fare                float64
Cabin              category
Embarked           category
list_in_columns      object #you can even edit lists, dicts and tuples with Excel!
dtype: object    

df2 = dframe.Name.s_edit_in_excel() #Series

df2
Out[8]: 
0                                        HANNIBAL LECTOR
1      Cumings, Mrs. John Bradley (Florence Briggs Th...
2                                 Heikkinen, Miss. Laina
3           Futrelle, Mrs. Jacques Heath (Lily May Peel)
4                               Allen, Mr. William Henry
                             ...                        
886                                Montvila, Rev. Juozas
887                         Graham, Miss. Margaret Edith
888             Johnston, Miss. Catherine Helen "Carrie"
889                                Behr, Mr. Karl Howell
890                                  Dooley, Mr. Patrick
Name: Name, Length: 891, dtype: string