Writing a loop with an integer in python-CodePudding

I have a dataframe as such:

data = [[0xD8E3ED, 2043441], [0xF7F4EB, 912788],[0x000000,6169]]
df = pd.DataFrame(data, columns=['c_code', 'occurence'])

I am attempting to loop through c_code to get an integer value. The following code works to obtain the integer

hex_val = '0xFF9B3B'
print(int(hex_val, 0))

16751419

But when I try to loop through the column I run into an issue. I currently have this running but am just overwriting every value.

for i in range(len(df)):
    df['value'] = int((df['c_code'].iloc[i]), 0)

Ideal output would be a df with a value column that reflects the value of the c_code. The image below shows the desired format but notice that the value is the same for all rows. I believe that I need to append rows but I am unsure of how to do that

CodePudding user response：

I believe that you can modify the type of your column c_code and assign this to a new column.

import pandas as pd

data = [['0xD8E3ED', 2043441], ['0xF7F4EB', 912788],['0x000000',6169]]
df = pd.DataFrame(data, columns=['c_code', 'occurence'])
df['value'] = df['c_code'].apply(int, base=16)

Also, I had to put the hexadecimal numbers as strings, if not pandas converts them to int directly.

I get this result:

CodePudding user response：

You are assigning the entire column to a new value at each step in the loop

df["value"] = ...

To specify a row you need to change it to df["value"][i] = ...

However, You shouldn't have to loop through each value in Pandas.

try:

df["value"] = int(df["c_code"], 0)