Pandas - 逐列查找值（id）并更新其值

Question

I'm looking for an efficient way to update one ow in Pandas Dataframe (like in DB).

There is an id column with unique values (ids)

contacts = 

   id  ... phone          email
0  33  ... +4219999999    WORK:pete@zzz.de
1  45  ... +4215444444    HOME:rot@zzz.de
2  20  ... +4213333333    WORK:aon@zzz.de
3  11  ... +4215553454    WORK:lev@zzz.de 

I want to update row with id == 45 by a dict {'phone'='+4511111111','email':'freddy@gg.com'}

Basically, I want to replace it with data from a given dictionary.

This way I can get the row:

contact = contacts.query(f'internal_id == "45"')

How to modify the dataframe so all the values of the row change?

Answer 1

You can set_index with 'id' and update the relevant row with a dictionary by passing it to a Series:

df = df.set_index('id')
df.loc[45] = pd.Series(d)

Output:

          phone             email
id                               
33   4219999999  WORK:pete@zzz.de
45  +4511111111     freddy@gg.com
20   4213333333   WORK:aon@zzz.de
11   4215553454   WORK:lev@zzz.de