95 lines
2.1 KiB
Python
95 lines
2.1 KiB
Python
import pandas as pd
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import numpy as np
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from datetime import datetime, timedelta
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# Create test data
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data = {
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'ID': [1, 2, 3, '4', 5, 6, 7, 8, 9, 10],
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'Date': [
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'2024-01-01',
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'01/02/2024',
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'Invalid Date',
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'2024-01-04',
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'05-01-2024',
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'2024/01/06',
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datetime.now(),
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'2024-01-08 ', # Extra space
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'2024-01-09',
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None
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],
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'Amount': [
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1000.50,
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'1,200.75',
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'abc',
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-999999999, # Outlier
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1500.0000, # Extra decimals
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1600.50,
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None,
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' 1800.25 ', # Leading/trailing spaces
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1900.50,
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2000
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],
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'Category': [
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'Sales',
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'Sales ', # Trailing space
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'SALES', # Inconsistent case
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'Marketing',
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'Marketing', # Duplicate
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None,
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'Finance',
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'HR',
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'HR',
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'' # Empty string
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],
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'Calculation': [
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'=A2/0', # #DIV/0!
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'=VLOOKUP("missing",A1:B1,2)', # #N/A
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'=INVALID_FUNCTION()', # #NAME?
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'=A1', # Valid
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None,
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'=REF!', # #REF!
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'=VALUE("abc")', # #VALUE!
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'=1+1',
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'=SUM()', # Empty sum
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'=NULL' # #NULL!
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],
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'Percentage': [
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'50%',
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'0.75', # Inconsistent format
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'80.00%',
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'.90', # Missing leading zero
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'100%',
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None,
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'120%', # Outlier
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'60.5%',
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'70%',
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'65' # Missing % symbol
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]
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}
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df = pd.DataFrame(data)
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# Add duplicate column
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df['Category_2'] = df['Category']
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# Create Excel writer
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writer = pd.ExcelWriter('test_data.xlsx', engine='xlsxwriter')
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# Write visible sheet
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df.to_excel(writer, sheet_name='Main', index=False)
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# Write hidden sheet with duplicates
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df.to_excel(writer, sheet_name='Hidden', index=False)
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# Get workbook and worksheet
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workbook = writer.book
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worksheet = writer.sheets['Main']
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# Add some formatting inconsistencies
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format1 = workbook.add_format({'num_format': '#,##0.00'})
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format2 = workbook.add_format({'num_format': '0.0'})
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worksheet.set_column('C:C', 15, format1)
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worksheet.write('C4', 1234.56, format2)
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writer.close() |