import pandas as pd
import numpy as np

arr = range(0,100)
result = np.percentile(arr, (25, 50, 75))
# [24.75 49.5  74.25]

print(result)
# class 'numpy.ndarray'
print(type(result))

print(result[0],result[1],result[2])

result = pd.DataFrame(arr).describe()
# class 'pandas.core.frame.DataFrame'
print(type(result))
print(result)
# (8, 1)
print(result.shape)

print(result.info)


print(result[0][0])
print(result[0][1])
print(result[0][2])

print(result[0]["count"] ,result[0]["mean"])

# class 'pandas.core.series.Series'
print(type(result[0]))



                0
count  100.000000
mean    49.500000
std     29.011492
min      0.000000
25%     24.750000
50%     49.500000
75%     74.250000
max     99.000000