#!/usr/bin/env python
# coding: utf-8

# The autoreload instruction reloads modules automatically before code execution, which is helpful for the update below.

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get_ipython().run_line_magic('load_ext', 'autoreload')
get_ipython().run_line_magic('autoreload', '2')


# Make sure that we have the latest version of pandas-profiling.

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import sys

get_ipython().system('"{sys.executable}" -m pip install -U pandas-profiling[notebook]')
get_ipython().system('jupyter nbextension enable --py widgetsnbextension')


# You might want to restart the kernel now.

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# Standard Library Imports
from pathlib import Path

# Installed packages
import pandas as pd
from ipywidgets import widgets

# Our package
from ydata_profiling import ProfileReport
from ydata_profiling.utils.cache import cache_file


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# Read the Titanic Dataset
file_name = cache_file(
    "titanic.csv",
    "https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv",
)
df = pd.read_csv(file_name)


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# Generate the Profiling Report
profile = ProfileReport(
    df, title="Titanic Dataset", html={"style": {"full_width": True}}, sort=None
)


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# The Notebook Widgets Interface
profile.to_widgets()


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# Or use the HTML report in an iframe
profile