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: int64

Source: pandas.pydata.org

How 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       2

Source: stackoverflow.com

Plot value counts pandas


df.letters.value_counts().sort_values().plot(kind = 'barh')

Source: stackoverflow.com

Frequency unique pandas

df.stack().value_counts()

Source: stackoverflow.com

Relativefrequencies of the unique values pandas

df.value_counts(normalize=True)

Count values python

from collections import Counter
values=np.ones(10)
Counter(values)

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