Удалить пустые строки excel python

Openpyxl is a Python library to manipulate xlsx/xlsm/xltx/xltm files. With Openpyxl you can create a new Excel file or a sheet and can also be used on an existing Excel file or sheet.

Installation

This module does not come built-in with Python. To install this type the below command in the terminal.

pip3 install openpyxl

In this article, we will discuss how to delete rows in an Excel sheet with openpyxl. You can find the Excel file used for this article here.

Deleting Empty rows (one or more)

Method 1:

This method removes empty rows but not continues empty rows, because when you delete the first empty row the next row gets its position. So it is not validated. Hence, this problem can be solved by recursive function calls. 

Approach:

• Import openpyxl library.
• Load Excel file with openpyxl.
• Then load the sheet from the file.
• Iterate the rows from the sheet that is loaded.
• Pass the row to remove the function.
• Then check for each cell if it is empty if any of the cells non-empty return the function, so only empty rows will exit the for loop without returning.
• Only if all rows are empty, remove statement is executed.
• Finally, save the file to the path.

Output:

Maximum rows before removing: 15
Maximum rows after removing: 14

File after deletion:

The first method deleted only the first empty row and the second continuous empty row is not deleted.

Method 2:

This method removes empty rows, including continuous empty rows by using the recursive approach. The key point is to pass the modified sheet object as an argument to the recursive function. If there is no empty row function is returned immediately.

Approach:

• Import openpyxl library.
• Load Excel file with openpyxl.
• Then load the sheet from the file.
• Pass the sheet that is loaded to the remove function.
• Iterate the rows with iter_rows().
• If any of the cells in a row is non-empty, any() return false, so it is returned immediately.
• If all cells in a row are empty, then remove the row with delete_rows().
• Then pass the modified sheet object to the remove function, this repeats until the end of the sheet is reached.
• Finally, save the file to the path.

Output:

Maximum rows before removing: 15
Maximum rows after removing: 13

File after deletion:

This method deleted both continuous empty rows as expected.

Deleting All rows

Method 1:

 In this method, we delete the second row repeatedly until a single row is left(column names).

Approach:

• Import openpyxl library.
• Load the Excel file and the sheet to work with.
• Pass the sheet object to delete function.
• Delete the second row, until there is a single row left.
• Finally, return the function.

Output:

Maximum rows before removing: 15
Maximum rows after removing: 1

File after deletion:

Method 2:

In this method, we use openpyxl sheet method to delete entire rows with a single command.

Approach:

• Import openpyxl library.
• Load the Excel file and the sheet to work with.
• Use delete_rows function to delete all rows except the column names.
• So a single empty row is left over.

Output:

Maximum rows before removing: 15
Maximum rows after removing: 1

File after deletion:

this works for both rows and cols:

import openpyxl
from openpyxl import *
import numpy as np

wb2 = openpyxl.load_workbook('/content/Drafts .xlsx')

for sheet in wb2.worksheets: 
    print ('Your currently in ', sheet)  
    max_row_in_sheet = sheet.max_row  
    max_col_in_sheet = sheet.max_column 
    print (max_row_in_sheet, max_col_in_sheet)

    array_3 = np.array([]) 
    array_4 = np.array([]) 

    r = 1  # initially declaring row as 1
    c = 1  # initially declaring column as 1
    for r in range(1, max_row_in_sheet + 1):  # 31 row
        array_1 = np.array([])
        array_2 = np.array([])
        for c in range(1, max_col_in_sheet + 1):  # 9 cols
            if sheet.cell(row=r, column=c).value == None:  # (9,1)
                array_1 = np.append(array_2, c)
                array_2 = array_1  # 1,2,3,4,5,6,7,8,9
        if len(array_1) == max_col_in_sheet:  # ( 9 == 9 )
            array_3 = np.append(array_4, r)  # 9
            array_4 = array_3
            array_3 = array_3.astype(int)
    if len(array_3) != 0:  # 11len
        index_of_last_array_element = len(array_3) - 1
        while index_of_last_array_element != -1:
            sheet.delete_rows(array_3[index_of_last_array_element], 1)
            index_of_last_array_element = index_of_last_array_element 
                - 1

    max_row_in_sheet = sheet.max_row  # maximum enterd row
    max_col_in_sheet = sheet.max_column  # maximum entered column

    print 'Maximum Rows and Cols after Removing'
    print (max_row_in_sheet, max_col_in_sheet)
    print '======================================'
    col_arr = []
    for x in range(1, sheet.max_column + 1):
        col_arr.append(0)

    for r in range(1, max_row_in_sheet + 1):
        array_1 = np.array([])
        array_2 = np.array([])
        for c in range(1, max_col_in_sheet + 1):
            if sheet.cell(row=r, column=c).value == None:
                array_1 = np.append(array_2, c)
                array_2 = array_1
                col_arr[c - 1] += 1
    print col_arr

    array_2 = [int(x) for x in array_2]
    print len(array_2)
    print array_2
    if len(array_2) != 0:
        index = len(array_2) - 1
        print index
        while index != -1:
            temp = array_2[index]

            # print(temp)

            sheet.delete_cols(temp, 1)
            index = index - 1

wb2.save('/content/outputs.xlsx')