📈 Streamlit Pandas Profiling
Installation
pip install streamlit-pandas-profiling
Getting started
import pandas as pd
import pandas_profiling
import streamlit as st
from streamlit_pandas_profiling import st_profile_report
df = pd.read_csv("https://storage.googleapis.com/tf-datasets/titanic/train.csv")
pr = df.profile_report()
st_profile_report(pr)
Demo
1 maintainer
Release files for streamlit-pandas-profiling 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| streamlit_pandas_profiling-0.1.3.tar.gz | 131.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| streamlit_pandas_profiling-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:391.3 kB
Release files / streamlit_pandas_profiling-0.1.3.tar.gz
| Download URL | streamlit_pandas_profiling-0.1.3.tar.gz |
|---|---|
| Size | 131.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.6
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Release files / streamlit_pandas_profiling-0.1.3-py3-none-any.whl
| Download URL | streamlit_pandas_profiling-0.1.3-py3-none-any.whl |
|---|---|
| Size | 259.8 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 |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.6
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