New methods for pandas DataFrame and Series.
Project description
pdpatch
pdpatch
adds methods to pandas’ DataFrame
and Series
for a faster
data science pipeline. It also defines drop-in replacements for
seaborn
and plotly.express
that automatically label axes with nicer
titles.
Install
pip install pdpatch
How to use
from pdpatch.all import *
Interactive Method .less()
Automatically Rename snake_case columns in plotly.express
import pandas as pd
from pdpatch.express import *
df = pd.DataFrame({'time__s__': range(10), 'position__m__': range(10)})
px.scatter(df, x='time__s__', y='position__m__').show('png')
Shorter methods
df.rename(columns={'col_1': 'new_name'})
->df.renamec({'col_1': 'new_name'})
df = dummydf()
df.renamec({'col_1': 'new_name'}).to_html()
new_name | col_2 | |
---|---|---|
0 | 100 | a |
1 | 101 | b |
2 | 102 | c |
3 | 103 | d |
4 | 104 | e |
Functions as methods
df.len()
5
New methods
df.col_1.minmax
(100, 104)
Utility functions
df = dummydf()
df.to_html()
col_1 | col_2 | |
---|---|---|
0 | 100 | a |
1 | 101 | b |
2 | 102 | c |
3 | 103 | d |
4 | 104 | e |
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pdpatch-0.1.3.tar.gz
(12.2 kB
view details)
Built Distribution
pdpatch-0.1.3-py3-none-any.whl
(11.0 kB
view details)
File details
Details for the file pdpatch-0.1.3.tar.gz
.
File metadata
- Download URL: pdpatch-0.1.3.tar.gz
- Upload date:
- Size: 12.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8976f227ddc3667ac342540d7a9df6ee52cce7696c600c67405a6dedb984fe40 |
|
MD5 | 31ec8f6ed2786357ec0dbbb5afe6bd6e |
|
BLAKE2b-256 | 4017b189490264b12ce5eb0fcbc0a4bdeefaac1342721d9e8dcb002b612d5d5e |
File details
Details for the file pdpatch-0.1.3-py3-none-any.whl
.
File metadata
- Download URL: pdpatch-0.1.3-py3-none-any.whl
- Upload date:
- Size: 11.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8241a35c9ea480310ab11202452d741a4f4eb160fedd67311bb8a3f2afad1ae7 |
|
MD5 | 1bd29e6503a30c2b907c03047c1c634d |
|
BLAKE2b-256 | 8be4736a492b3a6089cdd6344dbd9739999947f78e37be06927fc55a80bf6e4d |