问题
Given an existing Excel file, with data in a long format
Automate creating the following pivot table in Excel with the Python win32com module
Following is code to setup
test.xlsx
with data and connect to create a Excel com object
Imports
import win32com.client as win32
from pathlib import Path
import sys
import pandas as pd
import numpy as np
import random
from datetime import datetime
win32c = win32.constants
Function to create test.xlsx
- This function is only to provide test data and a file
def create_test_excel_file(f_path: Path, f_name: str, sheet_name: str):
filename = f_path / f_name
random.seed(365)
np.random.seed(365)
number_of_data_rows = 1000
# create list of 31 dates
dates = pd.bdate_range(datetime(2020, 7, 1), freq='1d', periods=31).tolist()
data = {'date': [random.choice(dates) for _ in range(number_of_data_rows)],
'expense': [random.choice(['business', 'personal']) for _ in range(number_of_data_rows)],
'products': [random.choice(['book', 'ribeye', 'coffee', 'salmon', 'alcohol', 'pie']) for _ in range(number_of_data_rows)],
'price': np.random.normal(15, 5, size=(1, number_of_data_rows))[0]}
pd.DataFrame(data).to_excel(filename, index=False, sheet_name=sheet_name, float_format='%.2f')
Function to create Excel com object
def run_excel(f_path: Path, f_name: str, sheet_name: str):
filename = f_path / f_name
# create excel object
excel = win32.gencache.EnsureDispatch('Excel.Application')
# excel can be visible or not
excel.Visible = True # False
# try except for file / path
try:
wb = excel.Workbooks.Open(filename)
except com_error as e:
if e.excepinfo[5] == -2146827284:
print(f'Failed to open spreadsheet. Invalid filename or location: {filename}')
else:
raise e
sys.exit(1)
# set worksheet
ws1 = wb.Sheets('data')
# wb.Close(True)
# excel.Quit()
Main
def main():
# sheet name for data
sheet_name = 'data' # update with sheet name from your file
# file path
f_path = Path.cwd() # file in current working directory
# f_path = Path(r'c:\...\Documents') # file located somewhere else
# excel file
f_name = 'test.xlsx'
# function calls
create_test_excel_file(f_path, f_name, sheet_name) # remove when running your own file
run_excel(f_path, f_name, sheet_name)
回答1:
- The most helpful way to figure out the proper Excel methods to use, is record a step-by-step Macro in Excel, while creating a pivot table in the form you want.
- This is most useful for creating a pivot table that has to be run on a routine basis in a file with existing data.
- Uses the imports and methods from the question
- To modify this code for a new data file
- Update
def main
sheet_name
f_path
f_name
- Update
def run_excel
ws1
ws2_name
pt_name
pt_rows
pt_cols
pt_filters
pt_fields
- Call
main()
to run code
- Update
pivot_table
function
def pivot_table(wb: object, ws1: object, pt_ws: object, ws_name: str, pt_name: str, pt_rows: list, pt_cols: list, pt_filters: list, pt_fields: list):
"""
wb = workbook1 reference
ws1 = worksheet1
pt_ws = pivot table worksheet number
ws_name = pivot table worksheet name
pt_name = name given to pivot table
pt_rows, pt_cols, pt_filters, pt_fields: values selected for filling the pivot tables
"""
# pivot table location
pt_loc = len(pt_filters) + 2
# grab the pivot table source data
pc = wb.PivotCaches().Create(SourceType=win32c.xlDatabase, SourceData=ws1.UsedRange)
# create the pivot table object
pc.CreatePivotTable(TableDestination=f'{ws_name}!R{pt_loc}C1', TableName=pt_name)
# selecte the pivot table work sheet and location to create the pivot table
pt_ws.Select()
pt_ws.Cells(pt_loc, 1).Select()
# Sets the rows, columns and filters of the pivot table
for field_list, field_r in ((pt_filters, win32c.xlPageField), (pt_rows, win32c.xlRowField), (pt_cols, win32c.xlColumnField)):
for i, value in enumerate(field_list):
pt_ws.PivotTables(pt_name).PivotFields(value).Orientation = field_r
pt_ws.PivotTables(pt_name).PivotFields(value).Position = i + 1
# Sets the Values of the pivot table
for field in pt_fields:
pt_ws.PivotTables(pt_name).AddDataField(pt_ws.PivotTables(pt_name).PivotFields(field[0]), field[1], field[2]).NumberFormat = field[3]
# Visiblity True or Valse
pt_ws.PivotTables(pt_name).ShowValuesRow = True
pt_ws.PivotTables(pt_name).ColumnGrand = True
Update run_excel
to call pivot_table
def run_excel(f_path: Path, f_name: str, sheet_name: str):
filename = f_path / f_name
# create excel object
excel = win32.gencache.EnsureDispatch('Excel.Application')
# excel can be visible or not
excel.Visible = True # False
# try except for file / path
try:
wb = excel.Workbooks.Open(filename)
except com_error as e:
if e.excepinfo[5] == -2146827284:
print(f'Failed to open spreadsheet. Invalid filename or location: {filename}')
else:
raise e
sys.exit(1)
# set worksheet
ws1 = wb.Sheets('data')
# Setup and call pivot_table
ws2_name = 'pivot_table'
wb.Sheets.Add().Name = ws2_name
ws2 = wb.Sheets(ws2_name)
pt_name = 'example'
pt_rows = ['expense']
pt_cols = ['products']
pt_filters = ['date']
# [0]: field name [1]: pivot table column name [3]: calulation method [4]: number format
pt_fields = [['price', 'price: mean', win32c.xlAverage, '$#,##0.00'],
['price', 'price: sum', win32c.xlSum, '$#,##0.00'],
['price', 'price: count', win32c.xlCount, '0']]
pivot_table(wb, ws1, ws2, ws2_name, pt_name, pt_rows, pt_cols, pt_filters, pt_fields)
# wb.Close(True)
# excel.Quit()
Resources
- Jupyter Notebook: How to Create a Pivot Table in Excel with the Python win32com Module
- Automate Excel with Python
- Examples with Pivot Table
- Using Python win32com to get list of Excel worksheets
- Excel VBA reference
- Workbook object (Excel)
- Worksheet object (Excel)
来源:https://stackoverflow.com/questions/62509367/how-to-create-a-pivot-table-in-excel-with-python-win32com