Metadata-Version: 2.1
Name: a-pandas-ex-excel-edit
Version: 0.1
Summary: If you have to change a lot of arbitrary values which don't have a clear pattern, use Excel!
Home-page: https://github.com/hansalemaos/a_pandas_ex_excel_edit
Author: Johannes Fischer
Author-email: <aulasparticularesdealemaosp@gmail.com>
License: MIT
Keywords: pandas,excel,MS Excel,quick,edit
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Editors :: Text Processing
Classifier: Topic :: Text Processing :: General
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Text Processing :: Filters
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
License-File: LICENSE.rst
Requires-Dist: pandas


## 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.



```python

pip install a-pandas-ex-excel-edit 

```



```python

    #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    

```

