CSV Files clear extra rows, merge 2 files, and add gap number, youtube scrape

<p> <span style="background-color: #1f1f1f; color: #c586c0; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">import</span><span style="background-color: #1f1f1f; color: #cccccc; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;"> pandas </span><span style="background-color: #1f1f1f; color: #c586c0; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">as</span><span style="background-color: #1f1f1f; color: #cccccc; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;"> pd</span></p><div style="background-color: #1f1f1f; color: #cccccc; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; line-height: 18px; white-space: pre;"><br /><br /><div><span style="color: #569cd6;">def</span> <span style="color: #dcdcaa;">synchronize_csv_files</span>(<span style="color: #9cdcfe;">old_csv_path</span>, <span style="color: #9cdcfe;">new_csv_path</span>, <span style="color: #9cdcfe;">output_csv_path</span>):</div><div> <span style="color: #6a9955;"># Read the old and new CSV files into DataFrames</span></div><div> old_df <span style="color: #d4d4d4;">=</span> pd.read_csv(old_csv_path)</div><div> new_df <span style="color: #d4d4d4;">=</span> pd.read_csv(new_csv_path)</div><br /><div> <span style="color: #6a9955;"># Find the matching value in the first column of the second row in the new CSV</span></div><div> matching_value <span style="color: #d4d4d4;">=</span> old_df.iloc[<span style="color: #b5cea8;">1</span>, <span style="color: #b5cea8;">0</span>]</div><br /><div> <span style="color: #6a9955;"># Delete rows from the new CSV until the matching value is found in the first column</span></div><div> <span style="color: #c586c0;">while</span> new_df.iloc[<span style="color: #b5cea8;">1</span>, <span style="color: #b5cea8;">0</span>] <span style="color: #d4d4d4;">!=</span> matching_value:</div><div> new_df <span style="color: #d4d4d4;">=</span> new_df.iloc[<span style="color: #b5cea8;">1</span>:]</div><br /><div> <span style="color: #6a9955;"># Reset the index of the new DataFrame</span></div><div> new_df.reset_index(<span style="color: #9cdcfe;">drop</span><span style="color: #d4d4d4;">=</span><span style="color: #569cd6;">True</span>, <span style="color: #9cdcfe;">inplace</span><span style="color: #d4d4d4;">=</span><span style="color: #569cd6;">True</span>)</div><br /><div> <span style="color: #6a9955;"># Combine the rows from both CSV files into a single DataFrame</span></div><div> combined_df <span style="color: #d4d4d4;">=</span> pd.concat([old_df, new_df], <span style="color: #9cdcfe;">axis</span><span style="color: #d4d4d4;">=</span><span style="color: #b5cea8;">1</span>)</div><br /><div> <span style="color: #6a9955;"># Save the synchronized CSV to the output file</span></div><div> combined_df.to_csv(output_csv_path, <span style="color: #9cdcfe;">index</span><span style="color: #d4d4d4;">=</span><span style="color: #569cd6;">False</span>)</div><br /><br /><div><span style="color: #569cd6;">def</span> <span style="color: #dcdcaa;">calculate_numbers</span>(<span style="color: #9cdcfe;">input_csv_path</span>, <span style="color: #9cdcfe;">output_csv_path</span>):</div><div> <span style="color: #6a9955;"># Read the synchronized CSV file into a DataFrame</span></div><div> df <span style="color: #d4d4d4;">=</span> pd.read_csv(input_csv_path)</div><br /><div> <span style="color: #6a9955;"># Calculate the result in the 6th column based on the values in the 2nd and 5th columns</span></div><div> df[<span style="color: #ce9178;">'GAP'</span>] <span style="color: #d4d4d4;">=</span> df[<span style="color: #ce9178;">'Views.1'</span>] <span style="color: #d4d4d4;">-</span> df[<span style="color: #ce9178;">'Views'</span>]</div><br /><div> <span style="color: #6a9955;"># Save the modified CSV to the output file with a new name</span></div><div> df.to_csv(output_csv_path, <span style="color: #9cdcfe;">index</span><span style="color: #d4d4d4;">=</span><span style="color: #569cd6;">False</span>)</div><br /><br /><div><span style="color: #6a9955;"># Example usage:</span></div><div>old_csv_path <span style="color: #d4d4d4;">=</span> <span style="color: #ce9178;">"/Users/jitendersingh/Downloads/Smart Enough 2 nov.csv"</span></div><div>new_csv_path <span style="color: #d4d4d4;">=</span> <span style="color: #ce9178;">"/Users/jitendersingh/Downloads/Smart Enough 3 nov.csv"</span></div><div>output_csv_path <span style="color: #d4d4d4;">=</span> <span style="color: #ce9178;">"/Users/jitendersingh/Downloads/temp_csv.csv"</span></div><br /><div>synchronize_csv_files(old_csv_path, new_csv_path, output_csv_path)</div><div><span style="color: #6a9955;"># Example usage:</span></div><div>input_csv_path <span style="color: #d4d4d4;">=</span> <span style="color: #ce9178;">"/Users/jitendersingh/Downloads/temp_csv.csv"</span></div><div>output_csv_path <span style="color: #d4d4d4;">=</span> <span style="color: #ce9178;">"/Users/jitendersingh/Downloads/synchronized_csv_with_numbers.csv"</span></div><br /><div>calculate_numbers(input_csv_path, output_csv_path)</div></div>

CSV Files clear extra rows, merge 2 files, and add gap number, youtube scrape

  import pandas as pd def synchronize_csv_files ( old_csv_path , new_csv_path , output_csv_path ): # Read the old and new CSV files i...

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