- Number of rows
- Number of columns
- Count of null values in each column
- Correlation plot
- First 5 rows
Made for usage in iPython/ Jupyter notebooks.
Clone the repository. In the folder, open cmd and pip install .
The package is now installed.
Example usage:
import df_overview
import pandas as pd
df=pd.read_csv("data.csv")
df_overview.overview(df)
Please be patient as the correlation plot may take time for a large number of columns.
This project will be updated frequently.