Download functions/plot_input_variation.py from iaecpsu-1/tdce-basic: direct link, hf CLI and curl.
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https://huggingface.co/iaecpsu-1/tdce-basic/resolve/fb514b0d05d90abb02c8c1479cbc548f5ea71d8a/functions/plot_input_variation.py
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hf download hf://iaecpsu-1/tdce-basic@fb514b0d05d90abb02c8c1479cbc548f5ea71d8a/functions/plot_input_variation.py
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curl -L -o plot_input_variation.py https://huggingface.co/iaecpsu-1/tdce-basic/resolve/fb514b0d05d90abb02c8c1479cbc548f5ea71d8a/functions/plot_input_variation.py
502 Bytes
| import pandas as pd | |
| from scipy.stats import variation, iqr | |
| def get_data(folder_name): | |
| process_df = pd.read_csv(f"{folder_name}/generated_process_data.csv") | |
| material_usage_df = pd.read_csv( | |
| f"{folder_name}/generated_material_usage.csv") | |
| employee_usage_df = pd.read_csv( | |
| f"{folder_name}/generated_employee_usage.csv") | |
| capital_cost_df = pd.read_csv(f"{folder_name}/generated_captial_cost.csv") | |
| return process_df, material_usage_df, employee_usage_df, capital_cost_df | |