pandas - type, min, max

import pandas as pd

df = pd.DataFrame({
        'numbers': list(range(10)),
        'chars': list('abcdefghij'),
        'floats': [0.1*x for x in range(10)],
     })

header = 'numbers'
print('header:', header)
print('type:', df[header].dtypes)
print('min,max:', df[header].min(), df[header].max())
print('-------------------------------')

header = 'chars'
print('header:', header)
print('type:', df[header].dtypes)
print('min,max:', df[header].min(), df[header].max())
print('-------------------------------')

headers = ['numbers', 'floats']
print('headers:', headers)
print('--- type ---')
print(df[headers].dtypes)
print('--- min ---')
print(df[headers].min())
print('--- max ---')
print(df[headers].max())
print('-------------------------------')

print('--- type ---')
print(df.dtypes['numbers'])
print(df.dtypes['floats'])
print('--- min ---')
print(df.min()['numbers'])
print(df.min()['floats'])
print('--- max ---')
print(df.max()['numbers'])
print(df.max()['floats'])
print('-------------------------------')

'''
header: numbers
type: int64
min,max: 0 9
-------------------------------
header: chars
type: object
min,max: a j
-------------------------------
headers: ['numbers', 'floats']
--- type ---
numbers      int64
floats     float64
dtype: object
--- min ---
numbers    0.0
floats     0.0
dtype: float64
--- max ---
numbers    9.0
floats     0.9
dtype: float64
-------------------------------
--- type ---
int64
float64
--- min ---
0
0.0
--- max ---
9
0.9
-------------------------------
'''