danielrosehill
commited on
Commit
·
66adb25
1
Parent(s):
dc3820c
updated
Browse files- data/csv/by-methodology/manifest.py +0 -56
- data/csv/narrower-list/airpollution.csv +3 -0
- data/csv/narrower-list/land-conversion.csv +3 -0
- data/csv/narrower-list/land-use.csv +3 -0
- data/csv/narrower-list/waste.csv +3 -0
- data/csv/narrower-list/water-consumption.csv +3 -0
- data/csv/narrower-list/water-pollution.csv +3 -0
data/csv/by-methodology/manifest.py
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import pandas as pd
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import os
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def generate_markdown_manifest_for_all_csvs():
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# Get the current working directory
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current_dir = os.getcwd()
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# Create a folder called 'params' within the current directory to store the markdown manifests
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output_folder = os.path.join(current_dir, 'params')
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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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# Get a list of all CSV files in the current directory
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csv_files = [f for f in os.listdir(current_dir) if f.endswith('.csv')]
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if not csv_files:
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print("No CSV files found in the current directory.")
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return
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# Loop through each CSV file and generate a manifest in markdown format
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for csv_file in csv_files:
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try:
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# Load CSV file into a pandas DataFrame
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csv_path = os.path.join(current_dir, csv_file)
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df = pd.read_csv(csv_path)
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# Prepare the manifest content
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markdown_content = f"# Manifest for {csv_file}\n\n"
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markdown_content += f"## Column Overview\n\n"
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for col in df.columns:
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# Skip the "Value" column
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if col == "Value":
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continue
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unique_values = df[col].dropna().unique()
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markdown_content += f"### {col}\n\n"
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markdown_content += "Parameters:\n\n"
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for val in unique_values:
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markdown_content += f"- {val}\n"
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markdown_content += "\n"
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# Generate the output filename for the markdown manifest
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output_file = os.path.join(output_folder, f"{os.path.splitext(csv_file)[0]}_manifest.md")
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# Write the markdown content to the file
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with open(output_file, 'w') as f:
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f.write(markdown_content)
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print(f"Manifest for {csv_file} saved to {output_file}")
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except Exception as e:
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print(f"Error processing {csv_file}: {e}")
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# Run the function
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generate_markdown_manifest_for_all_csvs()
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data/csv/narrower-list/airpollution.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:e39dd7548419144482c3f8a27e4b67d6232f0887e3575ba6a7690db4f9790e31
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size 785573
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data/csv/narrower-list/land-conversion.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:f66ca101cdfd67c3b6f84f94e86bb9cad77fd4300e2d16d22e92f0e59dd4dbab
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size 673308
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data/csv/narrower-list/land-use.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:94756565f4ff2c5171cf03b950b24e6824b3b403cc82e721e91a082e2d156ecd
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size 637151
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data/csv/narrower-list/waste.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:757c8a709e1b306d72e9412dc4720feb7a4eccae7b306fa18a9dc7f20475b149
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size 533099
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data/csv/narrower-list/water-consumption.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:f03d23e93ef2179a7405d9061cfc194ab13fc56ad9bad0bb16675cc59e793850
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size 99329
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data/csv/narrower-list/water-pollution.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd28f3379f02b9e40b143254168c1b881972c7c1469b91c74d6cd42843b99b3a
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size 8238494
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