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copy cell style openpyxl

As of openpyxl 2.5.4, python 3.4: (subtle changes over the older version below) new_sheet = workbook.create_sheet(sheetName) default_sheet = workbook[‘default’] from copy import copy for row in default_sheet.rows: for cell in row: new_cell = new_sheet.cell(row=cell.row, column=cell.col_idx, value= cell.value) if cell.has_style: new_cell.font = copy(cell.font) new_cell.border = copy(cell.border) new_cell.fill = copy(cell.fill) new_cell.number_format = copy(cell.number_format) new_cell.protection = copy(cell.protection) new_cell.alignment … Read more

How to access the real value of a cell using the openpyxl module for python

Like Charlie Clark already suggest you can set data_only on True when you load your workbook: from openpyxl import load_workbook wb = load_workbook(“file.xlsx”, data_only=True) sh = wb[“Sheet_name”] print(sh[“x10”].value) Good luck 🙂

Pandas: Looking up the list of sheets in an excel file

You can still use the ExcelFile class (and the sheet_names attribute): xl = pd.ExcelFile(‘foo.xls’) xl.sheet_names # see all sheet names xl.parse(sheet_name) # read a specific sheet to DataFrame see docs for parse for more options…

Iterate over Worksheets, Rows, Columns

Read the OpenPyXL Documentation Iteration over all worksheets in a workbook, for instance: for n, sheet in enumerate(wb.worksheets): print(‘Sheet Index:[{}], Title:{}’.format(n, sheet.title)) Output: Sheet Index:[0], Title: Sheet Sheet Index:[1], Title: Sheet1 Sheet Index:[2], Title: Sheet2 Iteration over all rows and columns in one Worksheet: worksheet = workbook.get_sheet_by_name(‘Sheet’) for row_cells in worksheet.iter_rows(): for cell in row_cells: … Read more

Editing workbooks with rich text in openpyxl

Formatting below the level of the cell is not supported by openpyxl. To use it you’d have to implement your own code when writing as openpyxl just stores whatever strings it receives. Full read/write support would add a great deal of complexity.

Save list of DataFrames to multisheet Excel spreadsheet

You should be using pandas own ExcelWriter class: from pandas import ExcelWriter # from pandas.io.parsers import ExcelWriter Then the save_xls function works as expected: def save_xls(list_dfs, xls_path): with ExcelWriter(xls_path) as writer: for n, df in enumerate(list_dfs): df.to_excel(writer,’sheet%s’ % n)

Read Excel cell value and not the formula computing it -openpyxl

wb = openpyxl.load_workbook(filename, data_only=True) The data_only flag helps.

How to save a new sheet in an existing excel file, using Pandas?

Thank you. I believe that a complete example could be good for anyone else who have the same issue: import pandas as pd import numpy as np path = r”C:\Users\fedel\Desktop\excelData\PhD_data.xlsx” x1 = np.random.randn(100, 2) df1 = pd.DataFrame(x1) x2 = np.random.randn(100, 2) df2 = pd.DataFrame(x2) writer = pd.ExcelWriter(path, engine=”xlsxwriter”) df1.to_excel(writer, sheet_name=”x1″) df2.to_excel(writer, sheet_name=”x2″) writer.save() writer.close() Here … Read more

Extract the data and modify an existing excel with openpyxl

If I add this n=1 for n in range(1, 100): ws.cell(row=n, column=1).value(4) n+1 It paste all 4 in column A But I want the whole yahoo [‘Open’] array to be pasted