35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
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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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df1 = pd.read_excel(curdir + path_delim + "data/diff_check.xlsx", sheet_name="Sheet3")
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# df2 = pd.read_excel(curdir + path_delim + "data/all_users_14_07_2023_to_12_09_2023.xlsx", sheet_name="Sheet2")
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# df3 = pd.read_excel(curdir + path_delim + "data/July_Sept3 copy.xlsx", sheet_name="op")
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### merging July
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### merging July
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df = df1.merge(df2, on="_id", how='outer')
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# df = pd.concat([df1, df3], ignore_index=True)
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print(df)
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# sample_ids = df["_id"].tolist()
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# print(len(sample_ids))
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print(len(df['_id']) - len(df['_id'].drop_duplicates()))
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# df_dup = df['_id']-df['_id'].drop_duplicates()
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# print(df_dedup)
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# dfut = pd.merge(df1, df2, how='outer',
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# left_index=True, right_on=['_id', 'Sample ID'],
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# indicator=True)
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# print(dfut)
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# dfut.query('_merge != "both"')
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writer = pd.ExcelWriter(curdir + path_delim + "data/July_Sept3.xlsx", engine = 'openpyxl')
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df.to_excel(writer, sheet_name = 'op', index=False)
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writer.close()
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