39 lines
996 B
Python
39 lines
996 B
Python
# %%
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import pandas as pd
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import matplotlib.pyplot as plt
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import numpy as np
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import os
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# note: we assume that you will execute from the directory of this code
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# check your current directory
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print("Current Working Directory:", os.getcwd())
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# %%
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data_path = "../../data_preprocess/exports/combined_group_allocation.csv"
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df = pd.read_csv(data_path)
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# %%
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df
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# %%
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print('mean', df[df['Allocation'] == 'BGKF']['Comb_count'].mean())
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print('std', df[df['Allocation'] == 'BGKF']['Comb_count'].std())
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max = df[df['Allocation'] == 'BGKF']['Comb_count'].max()
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min = df[df['Allocation'] == 'BGKF']['Comb_count'].min()
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print('max', max)
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print('max', min)
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print('max - min', max - min)
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# %%
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print('mean', df[df['Allocation'] == 'GKF']['Comb_count'].mean())
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print('std', df[df['Allocation'] == 'GKF']['Comb_count'].std())
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max = df[df['Allocation'] == 'GKF']['Comb_count'].max()
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min = df[df['Allocation'] == 'GKF']['Comb_count'].min()
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print('max', max)
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print('max', min)
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print('max - min', max - min)
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# %%
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