| import pandas as pd |
| import streamlit as st |
|
|
|
|
| def run_df_diagnostics(df: pd.DataFrame, name: str = 'df'): |
| show = st.checkbox(f'Mostrar diagnóstico de {name}') |
| if show: |
| expander = st.expander(f'Diagnóstico de {name}') |
| expander.write(f'Filas: {df.shape[0]}') |
| expander.write(f'Columnas: {df.shape[1]}') |
| expander.write('Columnas') |
| expander.write(df.columns.tolist()) |
| expander.write('Tipos de datos') |
| expander.write(df.dtypes) |
| expander.write('Descripción') |
| expander.write(df.describe()) |
| expander.write('Head (5)') |
| expander.write(df.head()) |
| expander.write('Tail (5)') |
| expander.write(df.tail()) |
| |
|
|
