2

Below is the dummy data from my dataset

    Airline Source  Destination Route   Dep_Time    Duration    Total_Stops Additional_Info Month   Day Price
0   3   0   5   18  1.647042    1.647042    4   8   3   24  3897
1   1   3   0   84  -1.258929   -1.258929   1   8   1   5   7662
2   4   2   1   118 -0.606391   -0.606391   1   8   9   6   13882
3   3   3   0   91  0.924899    0.924899    0   8   12  5   6218
4   3   0   5   29  0.655184    0.655184    0   8   1   3   13302

Now I want replace the values of some of the columns with below dictionary using the for loop

airdic = {4: 36.02920528, 3: 19.21744828, 1: 16.39988767}

I'm using below code to replace the values but it's not working

Note: replace function is working outside the for loop

for i in cat_var_3:
    dummydf.replace({(i):airdic})

car_var_3 is the list containing the column names

How do I resolve it ?

2 Answers 2

2

You will need to include inplace = True as the replace operation does not happen in place. Please refer below:

cat_var_3 = ['Ai','Dura']
airdic = {4: 36.02920528, 3: 19.21744828, 1: 16.39988767}
for i in cat_var_3:
    df.replace({(i):airdic},inplace=True)

print(df)

          Ai  rline  ...  tion  Total_Stops Additional_Info Month   Day Price
0  19.217448      0  ...    24                                           3897
1  16.399888      3  ...     5                                           7662
2  36.029205      2  ...     6                                          13882
3  19.217448      3  ...     5                                           6218
4  19.217448      0  ...     3                                          13302

Sign up to request clarification or add additional context in comments.

Comments

2

if cat_var3 is the list of column then you can simply execute the following code it'll traverse each column and map the desired dictionary

for i in cat_var_3:
    df[i] = df[i].map(airdic)

Comments

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.