value_counts pandas
>>> index = pd.Index([3, 1, 2, 3, 4, np.nan])
>>> index.value_counts()
3.0 2
4.0 1
2.0 1
1.0 1
dtype: int64value_counts pandas
>>> index = pd.Index([3, 1, 2, 3, 4, np.nan])
>>> index.value_counts()
3.0 2
4.0 1
2.0 1
1.0 1
dtype: int64how to get value_counts output in dataframe format
df = df.value_counts().rename_axis('unique_values').reset_index(name='counts')
print (df)
unique_values counts
0 2 3
1 1 2plot value counts pandas
df.letters.value_counts().sort_values().plot(kind = 'barh')frequency unique pandas
df.stack().value_counts()relativefrequencies of the unique values pandas
df.value_counts(normalize=True)Copyright © 2021 Codeinu
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