python pandas iterate over rows and add new column
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certainly! iterating over rows in a pandas dataframe can be achieved using the iterrows() method. this method returns an iterator that yields pairs of index and pandas series for each row in the dataframe. you can then use this iterator to iterate through the rows and add a new column based on some conditions or calculations. here's a tutorial with a code example:
let's create a sample dataframe for demonstration purposes:
in this example, let's say we want to add a new column called "salary_category" based on the salary values.
in this code:
iterating over rows in a pandas dataframe and adding new columns is straightforward using the iterrows() method or the apply() function. the key is to define the logic for the new column based on your requirements.
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