I lose leading zeros when copy data from dataframe to openpyxl.workbook

Question

I use openpyxl and pandas to fill row color with specified condition. Everything works fine but in some cells I lose leading zeros (like 0345 -> output 345), I don’t want that. How can I get the exact data?

dt = pd.read_excel(file_luu, sheet_name="Sheet1")
dt = pd.DataFrame(dt)
dinhDanh = len(dt.columns) - 1
wb = load_workbook(file_luu)
print(type(wb))
ws = wb['Sheet1']
for i in range(0, dt.shape[1]):
    ws.cell(row=1, column=i + 1).value = dt.columns[i]
for row in range(dt.shape[0]):
    for col in range(dt.shape[1]  ):

        ws.cell(row + 2, col + 1).value = str(dt.iat[row, col]) if (str(dt.iat[row, col]) != "nan") else " "

        if dt.iat[row, dinhDanh] == True:
            ws.cell(row + 2, col + 1).fill = PatternFill(start_color='FFD970', end_color='FFD970',
                                                         fill_type="solid")  # used hex code for brown color

ws.delete_cols(1)
ws.delete_cols(dinhDanh)
wb.save(file_luu)

Copy exactly all characters

Asked By: Kuj9xst3

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Source

Answer 1

To prevent losing leading zeros when writing data to an Excel file with openpyxl and pandas, you can specify that the cell should be formatted as a string by setting the number_format property of the cell to @. This tells Excel that the cell should be treated as a string, and any leading zeros will be preserved.

# Import the openpyxl Workbook and cell classes
from openpyxl.workbook import Workbook
from openpyxl.cell import Cell

dt = pd.read_excel(file_luu, sheet_name="Sheet1")
dt = pd.DataFrame(dt)
dinhDanh = len(dt.columns) - 1
wb = load_workbook(file_luu)
print(type(wb))
ws = wb['Sheet1']
for i in range(0, dt.shape[1]):
    ws.cell(row=1, column=i + 1).value = dt.columns[i]
for row in range(dt.shape[0]):
    for col in range(dt.shape[1]  ):

        # Create a cell with the value from the DataFrame, and specify that it should be formatted as a string
        cell = Cell(ws, row + 2, col + 1, value=dt.iat[row, col], number_format="@")

        # Set the cell's value and fill color
        ws.cell(row + 2, col + 1).value = str(dt.iat[row, col]) if (str(dt.iat[row, col]) != "nan") else " "
        if dt.iat[row, dinhDanh] == True:
            ws.cell(row + 2, col + 1).fill = PatternFill(start_color='FFD970', end_color='FFD970',
                                                         fill_type="solid")  # used hex code for brown color

ws.delete_

Answered By: Ankit Shah

I lose leading zeros when copy data from dataframe to openpyxl.workbook

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