Data-Pandas
Wed 12 November 2025
import pyutil as pyu
pyu.get_local_pyinfo()
'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'
print(pyu.ps2("pandas"))
pandas==2.2.3
import pandas as pd
data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
'year': [2012, 2012, 2013, 2014, 2014],
'reports': [4, 24, 31, 2, 3],
'coverage': [25, 94, 57, 62, 70]}
df = pd.DataFrame(data, index = ['Cochice', 'Pima', 'Santa Cruz', 'Maricopa', 'Yuma'])
capitalizer = lambda x: x.upper()
print(df.describe())
year reports coverage
count 5.0 5.000000 5.000000
mean 2013.0 12.800000 61.600000
std 1.0 13.663821 24.905823
min 2012.0 2.000000 25.000000
25% 2012.0 3.000000 57.000000
50% 2013.0 4.000000 62.000000
75% 2014.0 24.000000 70.000000
max 2014.0 31.000000 94.000000
Score: 5
Category: pandas-work