是否有可能跳过第一行的行并设置列标题?
但是,我使用以下依赖项具有以下功能
import win32com.client as win32
import pandas as pd
import numpy as np
from pathlib import Path
import re
import sys
win32c = win32.constants
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('GRC User Data Clean Up')
,我的WS1具有从第9行开始的标题。如何使用Win32指定这一点?
我想跳过前八行,
请帮忙!
不幸的是,我不能在这里使用熊猫,
然后我想从八行下方创建一个枢轴表,直到12000;
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('GRC User Data Clean Up')
# Setup and call pivot_table
ws2_name = 'pivot_table'
wb.Sheets.Add().Name = ws2_name
ws2 = wb.Sheets(ws2_name)
# update the pt_name, pt_rows, pt_cols, pt_filters, pt_fields at your preference
pt_name = 'example' # pivot table name, must be a string
pt_rows = ['Access Risk ID', 'User ID','User Group','Execution Hit on Both Sides?', 'Risk Description'] # rows of pivot table, must be a list
# pt_cols = [] # columns of pivot table, must be a list
pt_filters = ['Final verdict','Execution Hit on Both Sides?' ] # filter to be applied on pivot table, must be a list
# [0]: field name [1]: pivot table column name [3]: calulation method [4]: number format (explain the list item of pt_fields below)
pt_fields = [['Access Risk ID', 'Access Risk ID', win32c.xlCount, '0'], # must be a list of lists
['User ID', 'User ID', win32c.xlCount, '0'],
['User Group', 'User Group', win32c.xlCount, '0'],
['Execution Hit on Both Sides?', 'Execution Hit on Both Sides?', win32c.xlCount, '0'],
['Risk Description', 'Risk Description', win32c.xlCount, '0']]
# calculation method: xlAverage, xlSum, xlCount
pivot_table(wb, ws1, ws2, ws2_name, pt_name, pt_rows, pt_filters, pt_fields)
wb.Save() # save the pivot table created
# wb.Close(True)
# excel.Quit()
def pivot_table(wb: object, ws1: object, pt_ws: object, ws_name: str, pt_name: str, pt_rows: list, pt_filters: list, pt_fields: list):
"""
wb = workbook1 reference
ws1 = worksheet1 that contain the data
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)):
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 False
pt_ws.PivotTables(pt_name).ShowValuesRow = True
pt_ws.PivotTables(pt_name).ColumnGrand = True
I have the following function using the following dependencies
import win32com.client as win32
import pandas as pd
import numpy as np
from pathlib import Path
import re
import sys
win32c = win32.constants
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('GRC User Data Clean Up')
However, my ws1 has headers that start at row 9. How do I specify this with win32?
I want to skip the first eight rows
Please help!
I can't use pandas here unfortunately
Then I want to create a pivot table from the eight row down until 12000;
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('GRC User Data Clean Up')
# Setup and call pivot_table
ws2_name = 'pivot_table'
wb.Sheets.Add().Name = ws2_name
ws2 = wb.Sheets(ws2_name)
# update the pt_name, pt_rows, pt_cols, pt_filters, pt_fields at your preference
pt_name = 'example' # pivot table name, must be a string
pt_rows = ['Access Risk ID', 'User ID','User Group','Execution Hit on Both Sides?', 'Risk Description'] # rows of pivot table, must be a list
# pt_cols = [] # columns of pivot table, must be a list
pt_filters = ['Final verdict','Execution Hit on Both Sides?' ] # filter to be applied on pivot table, must be a list
# [0]: field name [1]: pivot table column name [3]: calulation method [4]: number format (explain the list item of pt_fields below)
pt_fields = [['Access Risk ID', 'Access Risk ID', win32c.xlCount, '0'], # must be a list of lists
['User ID', 'User ID', win32c.xlCount, '0'],
['User Group', 'User Group', win32c.xlCount, '0'],
['Execution Hit on Both Sides?', 'Execution Hit on Both Sides?', win32c.xlCount, '0'],
['Risk Description', 'Risk Description', win32c.xlCount, '0']]
# calculation method: xlAverage, xlSum, xlCount
pivot_table(wb, ws1, ws2, ws2_name, pt_name, pt_rows, pt_filters, pt_fields)
wb.Save() # save the pivot table created
# wb.Close(True)
# excel.Quit()
def pivot_table(wb: object, ws1: object, pt_ws: object, ws_name: str, pt_name: str, pt_rows: list, pt_filters: list, pt_fields: list):
"""
wb = workbook1 reference
ws1 = worksheet1 that contain the data
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)):
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 False
pt_ws.PivotTables(pt_name).ShowValuesRow = True
pt_ws.PivotTables(pt_name).ColumnGrand = True
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