熊猫数据框位置

Question

I have a pandas DataFrame and I'm looking for the min value in it.

print(df.loc[df['Price'].idxmin()])

It's working and i can print the whole 'line', This is the result:

Country              Switzerland
City                      Zurich
Airport                   Zurich
Carrier         Vueling Airlines
Type                      Direct
Date         2017-09-05T00:00:00
Price                      12360
AirportId                    ZRH
Name: 97, dtype: object

Process finished with exit code 0

How can I print for example only the AirportId column?

Thank you!

Answer 1

By filtering against it:

print(df.loc[df['Price'].idxmin()]['Airport'])

If you intend to write data into that cell, keep using loc :

df.loc[df['Price'].idxmin(),'Airport']

Answer 2

let's say this is your data frame:

your_df = pd.DataFrame(data={'Airport':['x','y','z'], 'type': ['A','B','C'],
      'price':[5450, 5450, 15998]})

you can access th efirst column like this:

print your_df.loc[your_df['price'].idxmin()].values[0]