Find the value counts for the column 'your_column'
df["your_column"].value_counts()Find the value counts for the column 'your_column'
df["your_column"].value_counts()count values 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: int64count na pandas
>>> df = pd.DataFrame({"Person":
... ["John", "Myla", "Lewis", "John", "Myla"],
... "Age": [24., np.nan, 21., 33, 26],
... "Single": [False, True, True, True, False]})
>>> df
Person Age Single
0 John 24.0 False
1 Myla NaN True
2 Lewis 21.0 True
3 John 33.0 True
4 Myla 26.0 False
df.count()
Person 5
Age 4
Single 5
dtype: int64pandas count values by column
df = pd.DataFrame({'a':list('abssbab')})
df.groupby('a').count()Copyright © 2021 Codeinu
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