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Add Python Excel code
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‎excel/awesomeworkbook.xlsx

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‎excel/regiondata.xlsx

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‎excel/some_data.txt

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‎excel/some_names.csv

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Sam,Smith,3 Jackson Drive,Kentwood,MI,49508,45000
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Sally,Holmes,12 Front Drive,Boise,ID,83704,30000
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Noah,Johnson,81 Emerson Way,C Springs,CO,80922,18000
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Emma,Williams,17 Upside Lane,Watauga,TX,76148,120000
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Zach,Price,99 Eleven Way,Worthington,OH,43085,68000
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Olivia,Jones,712 Front Street,C Valley,CA,94546,90000
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Sam,Miller,75 High Street,Kentwood,MI,49508,45000
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Ava,Brown,24 Seven Street,Boise,ID,83704,30000
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James,Miller,11 Breaker Lane,Worthington,OH,43085,68000

‎excel/some_names_modified.xlsx

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‎excel/stock_options.xlsx

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‎excel/stylish.xlsx

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‎extracted_data.xlsx

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‎pythonexcel.py

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# Excel Data Frame
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import pandas as pd
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from openpyxl.workbook import Workbook
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dataframe_excel = pd.read_excel('excel/regiondata.xlsx')
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print(dataframe_excel)
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# CSV Data Frame
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dataframe_csv = pd.read_csv('excel/some_names.csv')
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print(dataframe_csv)
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# Setting Column Names
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv)
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# Pandas CSV to Excel
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv)
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dataframe_csv.to_excel('excel/some_names_modified.xlsx')
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# Text File Data Frame
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dataframe_txt = pd.read_csv('excel/some_data.txt', delimiter='\t')
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print(dataframe_txt)
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# Work With Columns In Pandas
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv.columns)
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# take the First Name index and this prints out all the values in the First Name column
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv['First'])
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# access multiple column’s data
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv[['Address', 'State']])
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# look at the Zip column, but only the first two results
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv['Zip'][0:2])
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# Work With Rows In Pandas
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv.iloc[2])
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# Locate exact cell
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv.iloc[3, 2])
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# Saving Extracted Data
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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extracted_data = dataframe_csv[['First', 'Last', 'City']]
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stored = extracted_data.to_excel('extracted_data.xlsx', index=None)
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# Filter And Sort Data Using Pandas
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv[dataframe_csv['City'] == 'Worthington'])
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# checks for all rows where the City is Kentwood *and* the First column has a value of Sam.
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv[(dataframe_csv['City'] == 'Kentwood') & (dataframe_csv['First'] == 'Sam')])
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# drop columns using the .drop() function.
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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drop = ['Address', 'Population']
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dataframe_csv.drop(columns=drop, inplace=True)
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print(dataframe_csv)
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# check to see if the State column has a value of OH, and if it does, go ahead and set the new column we defined to True.
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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drop = ['Address', 'Population']
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dataframe_csv.drop(columns=drop, inplace=True)
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dataframe_csv['T or F'] = False
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dataframe_csv.loc[dataframe_csv['State'] == 'OH', 'T or F'] = True
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print(dataframe_csv)
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# use the .sort_values() method to sort the data on a particular column
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv.sort_values('First'))
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# To sort the data in the other direction, just add ascending=False as the second argument
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dataframe_csv = pd.read_csv('excel/some_names.csv', header=None)
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dataframe_csv.columns = ['First', 'Last', 'Address', 'City', 'State', 'Zip', 'Population']
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print(dataframe_csv.sort_values('First', ascending=False))
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# Controlling Excel Directly With Openpyxl
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import openpyxl
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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print(type(workbook))
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# How To Access Worksheets
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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print(type(sheet))
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# check what names exist with a simple call to .sheetnames.
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheetnames = workbook.sheetnames
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print(sheetnames)
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# Access Cells In Sheets
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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cell = sheet['A3']
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print(cell.value)
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# access a cell using the .cell() method and passing both the row and column as integers
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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cell = sheet.cell(row=4, column=14)
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print(cell.value)
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# iterate over values in the sheet
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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for i in range(2, 7):
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cell = sheet.cell(row=i, column=1)
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print(cell.value)
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# use slicing to select a range of cells
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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cell_range = sheet['A1':'A3']
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print(cell_range)
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# print out the number of items in a column
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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column_a = sheet['A']
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print(len(column_a))
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# show all of the cells that have values in row 1
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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row_0 = sheet[1]
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print(row_0)
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# iterating through columns or rows
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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for row in sheet.iter_rows(min_row=1, max_col=3, max_row=2):
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for cell in row:
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print(cell)
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# Creating New Workbooks and Worksheets
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workbook = openpyxl.Workbook()
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worksheet = workbook.active
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worksheet2 = workbook.create_sheet('First Sheet')
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worksheet3 = workbook.create_sheet('Second Sheet')
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worksheet.title = 'My Awesome Sheet'
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print(workbook.sheetnames)
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# add some data to one of the Worksheets
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workbook = openpyxl.Workbook()
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worksheet = workbook.active
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worksheet2 = workbook.create_sheet('First Sheet')
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worksheet3 = workbook.create_sheet('Second Sheet')
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worksheet.title = 'My Awesome Sheet'
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worksheet['A1'] = 'Hello Openpyxl'
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workbook.save('excel/awesomeworkbook.xlsx')
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# How To Format Workbooks
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from openpyxl.styles import Font, Alignment, GradientFill
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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sheet.insert_rows(1, 2)
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sheet.merge_cells('A1:O2')
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cell = sheet['A1']
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cell.font = Font(color='007742', size=20, italic=True)
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cell.value = 'Super Cool And Stylish Spreadsheet'
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cell.alignment = Alignment(horizontal='right', vertical='center')
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cell.fill = GradientFill(stop=('000000', 'ffffff'))
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workbook.save('excel/stylish.xlsx')
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# Named Styles In Openpyxl
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from openpyxl.styles import Font, Alignment, GradientFill, NamedStyle, Side, Border, PatternFill
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workbook = openpyxl.load_workbook('excel/stock_options.xlsx')
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sheet = workbook['Sheet1']
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sheet.insert_rows(1, 2)
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sheet.merge_cells('A1:O2')
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cell = sheet['A1']
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cell.font = Font(color='007742', size=20, italic=True)
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cell.value = 'Super Cool And Stylish Spreadsheet'
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cell.alignment = Alignment(horizontal='right', vertical='center')
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cell.fill = GradientFill(stop=('000000', 'ffffff'))
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highlight = NamedStyle(name='highlight')
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highlight.font = Font(bold=True)
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bd = Side(style='thick', color='000000')
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highlight.border = Border(left=None, top=bd, right=None, bottom=bd)
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highlight.fill = PatternFill('solid', fgColor='fde295')
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for cell in sheet['3:3']:
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cell.style = highlight
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workbook.save('excel/stylish.xlsx')
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