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35
scripts/dataset04.py
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35
scripts/dataset04.py
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import pandas as pd
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import os
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curdir = os.getcwd()
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path_delim = '/'
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df = pd.read_csv(curdir + path_delim + 'data/bquxjob_6ab822ae_18c5f7cb3c7.csv')
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df = df.dropna()
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print(df)
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print(df["finalResult"].unique())
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df['testResult'] = df['finalResult']
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df.loc[df['testResult'] == 'Normal', 'testResult'] = 'Normal'
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df.loc[df['testResult'] == 'Normal (HbA)', 'testResult'] = 'Normal'
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df.loc[df['testResult'] == 'Sickle Cell Trait', 'testResult'] = 'SCT'
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df.loc[df['testResult'] == 'Sickle Cell Trait (HbAS)', 'testResult'] = 'SCT'
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df.loc[df['testResult'] == 'Sickle cell Trait (HbAS)', 'testResult'] = 'SCT'
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df.loc[df['testResult'] == 'Sickle Cell Disease', 'testResult'] = 'SCD'
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df.loc[df['testResult'] == 'Sickle Cell Disease (HbAS)', 'testResult'] = 'SCD'
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df.loc[df['testResult'] == 'Sickle cell Disease (HbSS)', 'testResult'] = 'SCD'
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df.loc[df['testResult'] == 'Positive for Sickle Cell. HPLC for Confirmation', 'testResult'] = 'Inconclusive'
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df.loc[df['testResult'] == 'Inconclusive. Very low Absorbance - Repeat test with Higher Blood Volume', 'testResult'] = 'Inconclusive'
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df.loc[df['testResult'] == 'Negative Borderline. Repeat Test', 'testResult'] = 'Inconclusive'
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df.loc[df['testResult'] == 'Inconclusive. Very low Absorbance - Repeat test with Higher Blood Volume', 'testResult'] = 'Inconclusive'
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df.loc[df['testResult'] == 'Inconclusive. Repeat with test with lower volume of blood', 'testResult'] = 'Inconclusive'
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df = df.drop_duplicates()
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print(df.groupby(["testResult"]).describe())
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# writer = pd.ExcelWriter(curdir + path_delim + "data/dataset4.xlsx", engine = 'openpyxl')
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# df.to_excel(writer, sheet_name = 'op', index=False)
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df.to_csv(curdir + path_delim + "data/dataset04.csv", index=False)
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# df_count.to_excel(writer, sheet_name = "count")
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# writer.close()
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