renaming data in a dataframe using config json

user_9874096 0
Viewed 27

I have a situation where I need to change some junk data in json such as

 'a' need to be A
 'B' need to be B

I want to create a config json which shall have a dictionary where the key & value should look like dict={'a':'A', 'b':'B'}

And then access the json in another python file which reads data from a dataframe where those junk values(keys of the dictionary) are there & change them to the correct ones(values of the dictionary). Can anyone help..?

pandas python-3.x dictionary
1 Answers

So, given the following config.json file:

{
    "junk1": "John",
    "junk2": "Jack",
    "junk3": "Tom",
    "junk4": "Butch"
}

You could have the following python file in the same directory:

import pandas as pd
import json

with open("config.json", "r") as f:
    cfg = json.load(f)

df = pd.DataFrame(
    {
        "class": {
            0: "class1",
            1: "class2",
            2: "class3",
            3: "class4",
        },
        "firstname": {0: "junk1", 1: "junk2", 2: "junk3", 3: "junk4"},
    }
)
print(df)
# Outputs
    class firstname
0  class1     junk1
1  class2     junk2
2  class3     junk3
3  class4     junk4

And then do:

df["firstname"] = df["firstname"].replace(cfg)

print(df)
# Outputs
    class firstname
0  class1      John
1  class2      Jack
2  class3       Tom
3  class4     Butch
user_112460560
Related