dataframe_diff
dataframe_diff is a micro-library which takes two dataframes as input , compares them and return two dataframes with column wise comparison and additional records.
Installation
pip install dataframe-diff
Examples
>>> import pandas as pd
>>> df1=pd.read_csv('students_1.csv')
>>> df2=pd.read_csv('students_2.csv')
>>> from dataframe_diff import dataframe_diff
>>> df1.head()
Name Subjects Marks Grade
0 Leonard Eng 70 B
1 Leonard Math 80 B
2 Leonard Physics 90 A
3 Sheldon Eng 90 A
4 Sheldon Math 99 A
>>> df2.head()
Name Subjects Marks Grade
0 Leonard Eng 75 A
1 Leonard Math 85 A
2 Leonard Physics 90 A
3 Sheldon Eng 99 A
4 Sheldon Math 99 A
>>> d1_column,d2_additional=dataframe_diff(df1, df2, key=['Name','Subjects'])
>>> d1_column
Name Subjects value_x value_y column_name
0 Leonard Eng 70 75 Marks
1 Leonard Eng B A Grade
2 Leonard Math 80 85 Marks
3 Leonard Math B A Grade
4 Sheldon Eng 90 99 Marks
5 Penny Physics 65 75 Marks
6 Penny Physics C B Grade
>>> d2_additional
Name Subjects Marks Grade sets
0 Rajesh Math 93 A df_x
1 Howard Chemistry 83 B df_y
Release files for dataframe-diff 0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dataframe_diff-0.5.tar.gz | 2.8 kB | Details |
Release files / dataframe_diff-0.5.tar.gz
| Download URL | dataframe_diff-0.5.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f9c069138a0337d2e16a1c00a5c6f18d1161182d08977e8a07622cf1af685259
|
|
BLAKE2b-256 checksum How to use checksums |
059e5c8439ec8aa92ff591a9af5837396eca290529d3a224c6ca9f9437e41ffc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5
|