Export Pandas data frame with text column containg utf-8 text and URLs to Excel

Export Pandas data frame with text column containg utf-8 text and URLs to Excel

By : Andrew Cruz
Date : November 22 2020, 09:00 AM
With these it helps I don't think it is currently possible to pass XlsxWriter constructor options via the Pandas API but you can workaround the strings_to_url issue as follows:
code :
import pandas as pd

df = pd.DataFrame({'Data': ['http://python.org']})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_simple.xlsx', engine='xlsxwriter')

# Don't convert url-like strings to urls.
writer.book.strings_to_urls = False

# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1')

# Close the Pandas Excel writer and output the Excel file.
writer = pd.ExcelWriter('pandas_simple.xlsx', 
                        options={'strings_to_urls': False})

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How to limit text length in grid column while not limiting the same text in Excel Export

How to limit text length in grid column while not limiting the same text in Excel Export

By : user3449719
Date : March 29 2020, 07:55 AM
I wish this help you I was able to get the functionality I desired by putting a conditional statement (exporting/not exporting) around my "truncating code" in ItemDataBound(...). I then used a global boolean variable and marked it true in the export button click event.
code :
static bool exportBool;
if (ActionItem.exportBool != true) // MK CHANGE
    if (item["Title"].Text.Length > 21)
       item["Title"].Text = item["Title"].Text.Substring(0, 21) + "...";

    if (item["Investigation_Results"].Text.Length > 30)
       item["Investigation_Results"].Text = item["Investigation_Results"].Text.Substring(0, 30) + "...";

    if (item["Resolution_Steps"].Text.Length > 30)
       item["Resolution_Steps"].Text = item["Resolution_Steps"].Text.Substring(0, 30) + "...";
protected void imgbtnexcel_Click(object sender, ImageClickEventArgs e)
    ActionItem.exportBool = true;
Search over text column in pandas data frame without looping

Search over text column in pandas data frame without looping

By : Bill_LiaoM
Date : March 29 2020, 07:55 AM
I wish this helpful for you I have a pandas data frame where one of the columns is a text description string. I need to create a new column which would identify if one of the strings from a list is in the text description. , By using str.contains
code :
list_ = ['unit', 'apartment']
0     True
1     True
2    False
Name: Description, dtype: bool
change column header text - Export query Data to Excel

change column header text - Export query Data to Excel

By : Nahuel Méndez Diodat
Date : March 29 2020, 07:55 AM
I wish did fix the issue. I implemented button to export query data to Excel sheet, every thing perfect but I want to change the header text that come from database table to custom text. , Change it when you define the column names:
code :
For Each dc In datatableMain.Columns
    colIndex = colIndex + 1

    Select Case dc.ColumnName
        Case "sh_id"
            oSheet.Cells(rowIndex + 1, colIndex) = "Shop ID"
        Case "C_id"
            oSheet.Cells(rowIndex + 1, colIndex) = "Customer ID"
        Case Else
            oSheet.Cells(rowIndex + 1, colIndex) = dc.ColumnName
    End Select

Pandas export text column as a single, unescaped, text file

Pandas export text column as a single, unescaped, text file

By : Crystal Foy
Date : March 29 2020, 07:55 AM
this will help You're going to have issues with quoting as long as you're using a CSV writer to write raw text. Why not iterate and write to a text file directly?
code :
with open('output.txt', 'w') as f:
    for text in df['tokens'].tolist():
        f.write(text + '\n')
with open('output.txt', 'w') as f:
Export styled pandas data frame to excel

Export styled pandas data frame to excel

By : user2251049
Date : March 29 2020, 07:55 AM
wish help you to fix your issue I'm trying to export a stylish data frame to an exel file using the scrpit bellow , You can create DataFrame filled by empty values in function:
code :
def highlight_greater(x):
    r = 'red'
    g = 'gray'

    m1 = x['B'] > x['C']
    m2 = x['D'] > x['E']

    #if not match return empty string
    df1 = pd.DataFrame('', index=x.index, columns=x.columns)
    #rewrite values by boolean masks
    df1['B'] = np.where(m1, 'background-color: {}'.format(r), df1['B'])
    df1['D'] = np.where(m2, 'background-color: {}'.format(g), df1['D'])
    return df1

df.style.apply(highlight_greater, axis=None).to_excel('df.xlsx', engine='openpyxl')
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