datastand
A python package to help Data Scientists, Machine Learning Engineers and Analysts better understand data. Gives quick insights about a given dataset.
Installation
Run the following command on the terminal to install the package:
pip install datastand
Usage :
Code:
from datastand import datastand
import pandas as pd
df = pd.read_csv("path/to/target/dataframe")
datastand(df)
Output:
General stats:
==================
Shape of DataFrame: (1202, 13)
Number of unique data types : {dtype('int64'), dtype('O')}
Number of numerical columns: 2
Number of non-numerical columns: 11
Missing data:
=======================
DataFrame contains 2670 missing values (17.09%) as follows column-wise:
-----------------------------------------------------------------------
Gender 41
Car_Category 372
Subject_Car_Colour 697
Subject_Car_Make 248
LGA_Name 656
State 656
dtype: int64
-----------------------------------------------------------------------
Do you wish to long-list missing data statistics?(y/n): y
.
.
.
Code:
# This function is already available in the DataStand class and also available separately
# Here we're running it separately
from datastand import plot_missing
plot_missing(df)
Output:
Code:
from datastand import impute_missing
impute_missing(df)
Output:
Imputing missing data...
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 80/80 [00:02<00:00, 30.52it/s]
Imputation complete.
Author/Maintainer
Vincent N. [LinkedIn] [Twitter]
1 maintainer
Metadata
1 maintainer
Release files for datastand 2.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datastand-2.5.0.tar.gz | 4.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datastand-2.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.7 kB
Release files / datastand-2.5.0.tar.gz
| Download URL | datastand-2.5.0.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.11.4 Linux/6.4.0-kali3-amd64
|
Release files / datastand-2.5.0-py3-none-any.whl
| Download URL | datastand-2.5.0-py3-none-any.whl |
|---|---|
| Size | 5.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.11.4 Linux/6.4.0-kali3-amd64
|
