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 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: int64pandas count rows in column
>>> df.count(axis='columns')
0 3
1 2
2 3
3 3
4 3
dtype: int64pandas count values by column
df = pd.DataFrame({'a':list('abssbab')})
df.groupby('a').count()relativefrequencies of the unique values pandas
df.value_counts(normalize=True)get count of values in column pandas
In [37]:
df = pd.DataFrame({'a':list('abssbab')})
df.groupby('a').count()
Out[37]:
a
a
a 2
b 3
s 2
[3 rows x 1 columns]Copyright © 2021 Codeinu
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