Pandas Profiling: NASA Meteorites example

Source of data:

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

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%load_ext autoreload
%autoreload 2

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

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import sys

!{sys.executable} -m pip install -U pandas-profiling[notebook]
!jupyter nbextension enable --py widgetsnbextension

You might want to restart the kernel now.

Import libraries

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from pathlib import Path

import numpy as np
import pandas as pd
import requests

import pandas_profiling
from pandas_profiling.utils.cache import cache_file

Load and prepare example dataset

We add some fake variables for illustrating pandas-profiling capabilities

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file_name = cache_file(

df = pd.read_csv(file_name)

# Note: Pandas does not support dates before 1880, so we ignore these for this analysis
df["year"] = pd.to_datetime(df["year"], errors="coerce")

# Example: Constant variable
df["source"] = "NASA"

# Example: Boolean variable
df["boolean"] = np.random.choice([True, False], df.shape[0])

# Example: Mixed with base types
df["mixed"] = np.random.choice([1, "A"], df.shape[0])

# Example: Highly correlated variables
df["reclat_city"] = df["reclat"] + np.random.normal(scale=5, size=(len(df)))

# Example: Duplicate observations
duplicates_to_add = pd.DataFrame(df.iloc[0:10])
duplicates_to_add["name"] = duplicates_to_add["name"] + " copy"

df = df.append(duplicates_to_add, ignore_index=True)

Inline report without saving object

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report = df.profile_report(
    sort=None, html={"style": {"full_width": True}}, progress_bar=False

Save report to file

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profile_report = df.profile_report(html={"style": {"full_width": True}})

More analysis (Unicode) and Print existing ProfileReport object inline

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profile_report = df.profile_report(
    explorative=True, html={"style": {"full_width": True}}

Notebook Widgets

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