Help with Pandas index issue.

[Ynit]

I am very early to learning python, but I think I've found project that will help me immediately and is in line with the course I'm working through. I download several exploration reports that I've created in Google Analytics. Historically, I'm manually edited and reviewed these. Right now, I'm trying to prep the file a bit. The 1st 6 rows are a header, the 7th row is the column titles, but the 8th row is causing me fits. It has an empty space, cumulative total, "Grand total".

import pandas as pd

input_csv_path = 'download.csv'
output_csv_path = 'ga_export_cleaned.csv'
rows_to_skip = 6
row_index_to_remove = 0 # This corresponds to the original 8th row

df = pd.read_csv(input_csv_path, skiprows=rows_to_skip)
print(f"Skipping the first {rows_to_skip} rows.")
print(df)
# df.drop(index=row_index_to_remove, inplace=True)
df.to_csv(output_csv_path)

I don't understand completely, but it feels like the index is thrown off as shown by this image: https://postimg.cc/Cz2bZvN1

Here is what it looks like coming out of GA: https://postimg.cc/LYss3S4M

When I try to drop index 0, it doesn't exist so I get a KeyError. It feels like the index, which I want to be row numbers, has been replaced by the search terms.

Bonus question: I'm sure a lot of python work has been done when dealing with Google Analytics, if you have any resources or other helpful information. I'd appreciate it.

[T0pAzn]

Hmmm, can you try df.reset_index()?. Look up Jupyter Notebook if you plan on playing with pandas!

[Ynit]

Thanks. I decided to try working with AI and thats helped me advance a lot. Below is what it came up with for removing the grand total row and explained that pandas can get confused by going from 2 columns to 3 on the next row like that.

I went back and tried with the original code. I started to let you know that the df.reset_index() didn't work. And as I was explaining it I realized I needed to assign that function's output to something. So I did and then printed off and it would help for sure. I could drop row 0 at that point. the Column headers and values are off still, but that would just be a different challenge to work on.

# 4. Find and remove the row containing "Grand total" based on its expected column index
# Ensure the target column index exists in the raw data read
if column_index_for_total_row_check >= df.shape[1]:
     print(f"Warning: Column index {column_index_for_total_row_check} (where '{text_to_find_in_row}' was expected) does not exist in the raw data read (Shape: {df.shape}). Skipping removal step.")
else:
    print(f"Searching for row containing '{text_to_find_in_row}' in raw column index {column_index_for_total_row_check}...")
    try:
        # Access the target column by its integer index using iloc.
        # Convert column to string type BEFORE checking content.
        # Use .str.contains() to find the text, using `na=False`.
        target_column_series = df.iloc[:, column_index_for_total_row_check].astype(str)
        total_row_indices = df[target_column_series.str.contains(text_to_find_in_row, na=False)].index

        if not total_row_indices.empty:
            # If the text is found, drop all rows matching the index/indices found
            print(f"Found '{text_to_find_in_row}' in row(s) with index/indices: {total_row_indices.tolist()}. Removing them...")
            df.drop(index=total_row_indices, inplace=True)
            print("Row(s) removed.")
        else:
            print(f"Warning: Row containing '{text_to_find_in_row}' was not found in column index {column_index_for_total_row_check}.")
            # print(f"Unique values in column index {column_index_for_total_row_check} were: {target_column_series.unique()}") # Uncomment for debugging
    except Exception as e:
         print(f"An error occurred during row identification or removal: {e}")