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: int64
frequency unique pandas
df.stack().value_counts()
pandas count values by column
df = pd.DataFrame({'a':list('abssbab')})
df.groupby('a').count()
count values python
from collections import Counter
values=np.ones(10)
Counter(values)
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