(Python)Localizing variable

Question

My goal is to alter dataframe df using my_function then assign the result to dataframe df. But when I use function the dataframe df which is in the outside of the function is changed. How could I modify function not to affect the df varable which is outside of funtion?

import pandas as pd
df = pd.DataFrame({'A': [10, 20, 30]}, index=['2021-11-24', '2021-11-25', '2021-11-26'])


def my_function(df_temp):
    df_temp['A'][0] = 100  # How could I modify not to affect df varable which is outside of funtion
    return df_temp         

   something = my_function(df)
   print(df)   # df is already altered although I didn't assign

# df = my_function(df)
# print(df)

Answer 1

Try these solutions

1. Using pandas.apply function

import pandas as pd
df = pd.DataFrame({'A': [10, 20, 30]}, index=['2021-11-24', '2021-11-25', '2021-11-26'])


def my_function(row):
    row[0] = 100       
    return row


something = df.apply(my_function)
print(something)

A
2021-11-24  100
2021-11-25  20
2021-11-26  30

print(df)

A
2021-11-24  10
2021-11-25  20
2021-11-26  30

2. Using pandas.copy function

import pandas as pd
df = pd.DataFrame({'A': [10, 20, 30]}, index=['2021-11-24', '2021-11-25', '2021-11-26'])

def my_function(df):
    temp_df = df.copy()
    temp_df['A'][0] = 100
    return temp_df


something = my_function(df)
print(something)

A
2021-11-24  100
2021-11-25  20
2021-11-26  30

print(df)

A
2021-11-24  10
2021-11-25  20
2021-11-26  30