Pandas：如何根据另一列将一列值分配给变量？

Question

I have a DataFrame, for which I want to store values from the keyvalue column into a variable, based on the value of keyname .

Example DataFrame:

keyname     keyvalue
A           100,200
B           300
C           400

Expected output:

v_A = [100, 200]
v_B = 300
v_C = 400

Answer 1

While this is a more verbose approach, it's posted to demonstrate the basic concept for assigning keyvalue values to a list variable, based on the value of keyname .

v_A = df.loc[df['keyname'] == 'A', 'keyvalue'].to_list()
v_B = df.loc[df['keyname'] == 'B', 'keyvalue'].to_list()
v_C = df.loc[df['keyname'] == 'C', 'keyvalue'].to_list()

Output:

['100,200']
['300']
['400']

Answer 2

Close, what you need is dictionary with keys and values, because concept of strings variables in python is not recommended :

d = df.set_index('keyname')['keyvalue'].to_dict()

Answer 3

I can suggest two options..

1. Convert to a dictionary.. that will give you them as key value pairs, if that is what you want.

    df.set_index('keyname').to_dict()

output:

   {'keyvalue': {'A': '100,200', 'B': '300', 'C': '400'}}

2. Take a transpose and you will get them in columns of dataframe and then you can convert as list

   dft=df.set_index('keyname').T v_A=list(map(int, dft['A'][0].split(","))) v_B=list(map(int, dft['B'][0].split(","))) v_C=list(map(int, dft['C'][0].split(","))) print(v_A) print(v_B) print(v_C)

output:

   [100, 200]
   [300]
   [400]