Pandas count and percentage by value for a column
https://blog.softhints.com/pandas-cou...
Notebook:
https://github.com/softhints/python/b...
* read remote data from pdf
* calculate count and percent
* format percent in better output
* value_counts
* value_counts and percentage
* combine count and percentage
s = df.energy
counts = s.value_counts()
percent = s.value_counts(normalize=True)
percent100 = s.value_counts(normalize=True).mul(100).round(1).astype(str) + '%'
pd.DataFrame({'counts': counts, 'per': percent, 'per100': percent100})
Bonus tips:
pandas column renaming
df.columns = ['food', 'Portion size ', 'per 100 grams', 'energy']
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