pandas EDA
Big Data? Machine Learning?
You work with your data -
Manipulating it, merging, pivot and more.
But what happened in between? Did you get a lot of nans? Maybe duplicated values?
You constantly need to check your data status,
But you cannot do values_counts, isna and all those stuffs every second...
pandas_eda will show you status and frequent values for each column!
You will be focused on what you have on the spot.
Demo is the best way to understand:
install:
pip install pandas_eda
usage:
import pandas as pd
import pandas_eda
from time import sleep
df = pd.read_excel('whatever.xlsx')
df = manipulation_1(df)
df.eda() # can use this at debug mode too!
df = manipulation_2(df)
df.eda() # yes, you can open multiple EDA windows!
df = manipulation_3(df)
df.eda()
sleep(600) # just that ending script will end the eda too, so delaying the exit
note:
if you're running on remote machine, the eda will be opened on the remote...
1 maintainer
Release files for pandas-eda 0.5.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pandas_eda-0.5.2.tar.gz | 6.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pandas_eda-0.5.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:13.5 kB
Release files / pandas_eda-0.5.2.tar.gz
| Download URL | pandas_eda-0.5.2.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ef1a4841acf38c85404b2d04dbd2288abd32184e93f0ea4ec078e5fe61a7aa5a
|
|
BLAKE2b-256 checksum How to use checksums |
81e2591df0e19956712b8287c25518f74197d631b6071c2d0f46da5a178d7141
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.12
|
Release files / pandas_eda-0.5.2-py3-none-any.whl
| Download URL | pandas_eda-0.5.2-py3-none-any.whl |
|---|---|
| Size | 7.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c93618778add36f930ad7b9ee332746236b5d0b416c956ba96040f832f6c4fa0
|
|
BLAKE2b-256 checksum How to use checksums |
96277ef077bcebec5a77b519bb7fe31a76cf2cdccecfc4314e01a340d14ee42d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.12
|
