Example 1: 'numpy.ndarray' object has no attribute 'count'
>>> 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}
Example 2: AttributeError: 'numpy.ndarray' object has no attribute 'value_counts'
import numpy as np
a = np.array([0, 3, 0, 1, 0, 1, 2, 1, 0, 0, 0, 0, 1, 3, 4])
unique, counts = np.unique(a, return_counts=True)
dict(zip(unique, counts))
output: {0: 7, 1: 4, 2: 1, 3: 2, 4: 1}
import pandas as pd
let's suppose there's a dataframe as follows:
a = np.array([0, 3, 0, 1, 0, 1, 2, 1, 0, 0, 0, 0, 1, 3, 4])
a = pd.DataFrame(a)
print(a.value_counts())