76 lines
2.6 KiB
Python
76 lines
2.6 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/users_12_01_2024_23_25.xlsx", sheet_name="Sheet1")
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df2 = pd.read_excel(curdir + path_delim + "data/12jan-printing-input.xlsx", sheet_name="Sheet1")
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# Define a function to find the _id for each row in df2
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def find_id(row):
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match = df1[(df1['abhaId'] == row['abhaId'])]
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if not match.empty:
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return match.iloc[0]['_id']
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else:
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match = df1[(df1['name'] == row['name'])]
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if not match.empty:
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return match.iloc[0]['_id']
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match = df1[(df1['house'] == row['address'])]
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if not match.empty:
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return match.iloc[0]['_id']
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return None
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def find_aadharId(row):
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match = df1[(df1['abhaId'] == row['abhaId'])]
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if not match.empty:
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return match.iloc[0]['aadharId']
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else:
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match = df1[(df1['name'] == row['name'])]
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if not match.empty:
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return match.iloc[0]['aadharId']
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match = df1[(df1['house'] == row['address'])]
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if not match.empty:
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return match.iloc[0]['aadharId']
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return None
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def find_abhaId(row):
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match = df1[(df1['name'] == row['name'])]
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if not match.empty:
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return match.iloc[0]['abhaId']
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else:
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match = df1[(df1['house'] == row['address'])]
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if not match.empty:
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return match.iloc[0]['abhaId']
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return None
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# Apply the function to create a new '_id' column in df2
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df2['_id'] = df2["Photograph"].get_url()
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df2['aadharId'] = df2.apply(find_aadharId, axis=1)
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df2['abhaId2'] = df2.apply(find_abhaId, axis=1)
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# Continue with the rest of your code...
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# Add the rest of your code (e.g., renaming columns, creating new columns, etc.)
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df2["Block/Ward"] = ""
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# df2["Village/Town/City"] = df2["city"]
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df2["Test Type"] = "HPOS"
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df2["Photograph"] = df2['_id'].apply(lambda x: f'images\{x}.jpg')
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df2.rename(columns={'_id': "Sample ID", "name": "Name", "aadharId": "AADHAAR ID", "ABHA ID": "ABHA Number", "careOf": "Father's Name / Husband's Name", "Test Result": "Test report"}, inplace=True)
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# Continue with the rest of your code...
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# Save the resulting DataFrame to Excel
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writer = pd.ExcelWriter(curdir + path_delim + "data/CardPrint10.xlsx", engine='xlsxwriter')
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df2.to_excel(writer, sheet_name='op', index=False)
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# Get the xlsxwriter workbook and worksheet objects
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workbook = writer.book
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worksheet = writer.sheets['op']
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# Add hyperlinks to the 'Photograph' column
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for row_num, link in enumerate(df2['Photograph'], start=1):
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worksheet.write_url(row_num, df2.columns.get_loc('Photograph'), string=link, url=link, cell_format=None)
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writer.close()
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