Reading Excel file on condition

Reading Excel file on condition

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Reading Excel file on condition
Tag : chash , By : Ari
Date : November 25 2020, 07:06 PM

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First Column of excel file not reading oledb reader in window application, excel file data not reading

Tag : chash , By : PaulPlum
Date : March 29 2020, 07:55 AM
seems to work fine We need to set IMEX=3 for this bcz header place at first column and row default when we downloading its or write mode which locked first cell .

Reading cells from an Existing Excel File and Writing them into a new Excel File using Java

Tag : java , By : Amin Amini
Date : March 29 2020, 07:55 AM
To fix the issue you can do Using the "poi" from apache, you can use the below code to read the excel (*.xls)
import org.apache.poi.hssf.usermodel.HSSFSheet;
import org.apache.poi.hssf.usermodel.HSSFWorkbook;
import org.apache.poi.ss.usermodel.Cell;
import org.apache.poi.ss.usermodel.Row;

private void readingExcel(String fileName) {
    try (FileInputStream file = new FileInputStream(new File(fileName))) {
        HSSFWorkbook workbook = new HSSFWorkbook(file);
        HSSFSheet sheet = workbook.getSheetAt(0);
        Iterator<Row> rowIterator = sheet.iterator();
        for (Row row : sheet) {
            Iterator<Cell> cellIterator = row.cellIterator();
            for (Cell cell : row) {
    } catch (IOException ioException) {
private File writingToExcel() {
    HSSFWorkbook workbook = new HSSFWorkbook();
    HSSFSheet sheet = workbook.createSheet("Sample-sheet");
    Row row = sheet.createRow(0);
    Cell cell = row.createCell(0);
    cell.setCellValue("My Sample Value");

    File file = new File(sheet.getSheetName());
    return file;
XSSFWorkbook workbook = new XSSFWorkbook (file); 
XSSFSheet sheet = workbook.getSheetAt(0);

Reading excel Tuples with condition in Python3

Tag : python , By : Ray
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , Your for loop is confusing. You are setting age to a differnt value every time. Are you meaning to append to the list? To do that, declare age = [] outside the loop, then call age.append(val) inside the loop.

Display Value in Excel TextBox in one excel file while reading data from another excel file

Tag : excel , By : Zinovate
Date : March 29 2020, 07:55 AM
this one helps. How about something like below, it will copy your A1 from your current workbook and place the value into B2 of your template workbook:
 Sub sb_Copy_Save_Worksheet_As_Workbook()
    Dim workbookName As String
    workbookName = "C:/User/Me/test/mynewworkbook.xlsx"
    'set the path to your workbook
    Set otherWorkbook = Workbooks.Open(workbookName) 'open it
    otherWorkbook.Sheets("Sheet1").Range("B2") = ThisWorkbook.Sheets("Sheet1").Range("A1")
    'change the sheet name above to the sheet you want to copy
    otherWorkbook.Close SaveChanges:=True
    'change the path above to where you want the new file saved
End Sub

Reading in excel file and outputting excel file with exact same data types for columns

Tag : python , By : walshtp
Date : March 29 2020, 07:55 AM
To fix the issue you can do You are reading in a csv file which is certainly not the same as an excel file. You can read a csv file with excel in Windows, but the encoding is different when the file is saved. You can certainly format cells according xlsxwriter specifications.
However, it is important to note that xlsxwriter cannot format any cells that already have a format such as the header or index, or dates or datetime objects. If you have multiple datatypes in a single column, that will also be problematic, as pandas will then default that column to object. An item of type "object" will be inferred in output, so again it will be dynamically assigned as a "best guess".
import pandas as pd
from datetime import datetime
df = pd.read_csv("test.csv", encoding = "ISO-8859-1", dtype={'ColumnA': int,
                                                             'ColumnB': float,
                                                             'ColumnC': str})
df['ColumnC'] = pd.to_datetime(df['ColumnC'].dt.strftime('%m/%d/%Y')
# date would look like: 06/08/2016, but you can look at other formatting for dt.strftime
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