np array value count
unique_elements, counts_elements = np.unique(a, return_counts=True)np array value count
unique_elements, counts_elements = np.unique(a, return_counts=True)numpy count the number of 1s in array
a = numpy.array([0, 3, 0, 1, 0, 1, 2, 1, 0, 0, 0, 0, 1, 3, 4])
unique, counts = numpy.unique(a, return_counts=True)
dict(zip(unique, counts))
{0: 7, 1: 4, 2: 1, 3: 2, 4: 1}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 in array python
a = numpy.array([0, 3, 0, 1, 0, 1, 2, 1, 0, 0, 0, 0, 1, 3, 4])
unique, counts = numpy.unique(a, return_counts=True)
dict(zip(unique, counts))
# {0: 7, 1: 4, 2: 1, 3: 2, 4: 1}count values python
from collections import Counter
values=np.ones(10)
Counter(values)Copyright © 2021 Codeinu
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