# import pandas for reading csv file

import pandas as pd

#reading csv file

s = pd.read_csv("stock.csv", squeeze = True)

#using describe function

print(s.describe())

#using count function

print(s.idxmax())

#using idxmin function

print(s.idxmin())

#count of elements having value 3

print(s.value_counts().head(3))

Output:

dtype: float64
count    3012.000000
mean      334.310093
std       173.187205
min        49.950000
25%       218.045000
50%       283.315000
75%       443.000000
max       782.220000
Name: Stock Price, dtype: float64

3011
11
291.21    5
288.47    3
194.80    3
Name: Stock Price, dtype: int64