Посчитать количество строк в excel python

The solution suggested in this answer has been deprecated, and might no longer work.

Taking a look at the source code of OpenPyXL (IterableWorksheet) I’ve figured out how to get the column and row count from an iterator worksheet:

wb = load_workbook(path, use_iterators=True)
sheet = wb.worksheets[0]

row_count = sheet.get_highest_row() - 1
column_count = letter_to_index(sheet.get_highest_column()) + 1

IterableWorksheet.get_highest_column returns a string with the column letter that you can see in Excel, e.g. «A», «B», «C» etc. Therefore I’ve also written a function to translate the column letter to a zero based index:

def letter_to_index(letter):
    """Converts a column letter, e.g. "A", "B", "AA", "BC" etc. to a zero based
    column index.

    A becomes 0, B becomes 1, Z becomes 25, AA becomes 26 etc.

    Args:
        letter (str): The column index letter.
    Returns:
        The column index as an integer.
    """
    letter = letter.upper()
    result = 0

    for index, char in enumerate(reversed(letter)):
        # Get the ASCII number of the letter and subtract 64 so that A
        # corresponds to 1.
        num = ord(char) - 64

        # Multiply the number with 26 to the power of `index` to get the correct
        # value of the letter based on it's index in the string.
        final_num = (26 ** index) * num

        result += final_num

    # Subtract 1 from the result to make it zero-based before returning.
    return result - 1

I still haven’t figured out how to get the column sizes though, so I’ve decided to use a fixed-width font and automatically scaled columns in my application.

Who doesn’t know about Excel Files these days? Whether you tabulate the score of an exam of a class in schools or you make a bill and store information of a payment you have or analyzing the data for a particular area; Excel Files are a one-step solution for making these.

Well, in the programming world also, excel used for a number of purposes. For example, datasets for machine learning can be in the form of excel files. In Python, we can work with excel in many ways.

Python program to count the no of Rows & Columns of an excel file

In this article, I’m here to show how to count the number of rows and columns from an excel file with the help of Python. Before programming in Python, I must recommend installing xlrd package in Python as this library is used for reading & formatting data from excel files having extensions .xls or .xlsx.

Also, read:

• Read CSV file in Python using Pandas Library

Just follow the steps given below:

Install xlrd package

To install xlrd using Windows, open Command Prompt and type the command given below:

python -m pip install -U xlrd

or if you’re using Linux or Raspberry Pi then type the command on your respective terminals:

sudo pip install xlrd

Creating an Excel File

Now we create an excel file from Microsoft Excel consisting of rows and columns given below:

Write our Python Program

After creating the file, here the main part comes: we write the following code. For a better understanding of the code, I used comment lines to clarify the steps.

import xlrd as xl                             #Import xlrd package

loc = ("Filelocationfilename.xlsx")          #Giving the location of the file 
  
wb = xl.open_workbook(loc)                    #opening & reading the excel file
s1 = wb.sheet_by_index(0)                     #extracting the worksheet
s1.cell_value(0,0)                            #initializing cell from the excel file mentioned through the cell position
  
print("No. of rows:", s1.nrows)               #Counting & Printing thenumber of rows & columns respectively
print("No. of columns:", s1.ncols) 

Output:

No. of rows: 6
No. of columns: 4

Just follow the comment lines in our code to understand each and every step.

Решение, предложенное в этом ответе, устарело и может перестать работать.

Взглянув на исходный код OpenPyXL (IterableWorksheet) Я выяснил, как получить количество столбцов и строк из лист итератора:

wb = load_workbook(path, use_iterators=True)
sheet = wb.worksheets[0]

row_count = sheet.get_highest_row() - 1
column_count = letter_to_index(sheet.get_highest_column()) + 1

IterableWorksheet.get_highest_column возвращает строку с буквой столбца, которую вы можете видеть в Excel, например. «A», «B», «C» и т.д. Поэтому я также написал функцию для перевода буквы столбца к индексу на основе нуля:

def letter_to_index(letter):
    """Converts a column letter, e.g. "A", "B", "AA", "BC" etc. to a zero based
    column index.

    A becomes 0, B becomes 1, Z becomes 25, AA becomes 26 etc.

    Args:
        letter (str): The column index letter.
    Returns:
        The column index as an integer.
    """
    letter = letter.upper()
    result = 0

    for index, char in enumerate(reversed(letter)):
        # Get the ASCII number of the letter and subtract 64 so that A
        # corresponds to 1.
        num = ord(char) - 64

        # Multiply the number with 26 to the power of `index` to get the correct
        # value of the letter based on it index in the string.
        final_num = (26 ** index) * num

        result += final_num

    # Subtract 1 from the result to make it zero-based before returning.
    return result - 1

Я все еще не понял, как получить размеры столбцов, поэтому я решил использовать шрифт с фиксированной шириной и автоматически масштабированные столбцы в моем приложении.