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Merging multiple CSV files and summing their values is a common data processing task, especially when dealing with split datasets. Python’s pandas library offers an efficient way to achieve this.
Steps to Merge and Sum
1. Import Required Libraries
import pandas as pdimport globimport osコピーしました。✕コピー2. Locate All CSV Files Use glob to find all CSV files in a directory:
path = "/path/to/csv/files"csv_files = glob.glob(os.path.join(path, "*.csv"))コピーしました。✕コピー3. Read and Combine Data Read each file into a DataFrame and concatenate them:
dfs = [pd.read_csv(file) for file in csv_files]combined_df = pd.concat(dfs, ignore_index=True)コピーしました。✕コピー4. Group and Sum Values If you have a column (e.g., "Category") to group by and sum numeric columns:
summed_df = combined_df.groupby("Category", as_index=False).sum()コピーしました。✕コピー5. Save the Result to a Single File
summed_df.to_csv("merged_summed.csv", index=False)コピーしました。✕コピーComplete Example
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