I have several pandas data frame and I'm using ExcelWriter to create an Excel sheet. I usually use below command
writer = pd.ExcelWriter(file_name, engine='xlsxwriter')
My all data frame go to one Excel sheet and I want to write a long sentence, after the last data frame. My program is automated and I don't know exactly the length of the data frame each time. So I can't use something like below. I mean I can't put something like 'B44:F46'
import xlsxwriter
workbook = xlsxwriter.Workbook('hello.xlsx')
worksheet = workbook.add_worksheet()
## adding 5-6 data frames
header2 = workbook.add_format({
'bold': True,
'align': 'center',
'border': 6,
'valign': 'vcenter',
'fg_color': '#D7E4BC',
'font_name':'Calibri',
'font_size': 12
})
worksheet.merge_range('B44:F46', "CompanyName:ABC \n Country:USA", header2)
workbook.close()
Is there a way to do thatin python?
Any suggestion would be appreciated. Thanks in advance!!
There are a few things you need to do to make this work:
df.shape
or len(df)
(row, col)
syntax in merge_range() instead of the A1 range syntaxtext_wrap
to the formatHere is a working example:
import pandas as pd
# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data 1': [11, 12]})
df2 = pd.DataFrame({'Data 2': [21, 22, 23]})
df3 = pd.DataFrame({'Data 3': [31, 32, 33, 34]})
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_example.xlsx', engine='xlsxwriter')
start_row = 0
# Output the data frames and keep track of the start/end row.
for df in (df1, df2, df3):
df.to_excel(writer, sheet_name='Sheet1', startrow=start_row, index=False)
start_row += df.shape[0] + 1
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Add a format
header2 = workbook.add_format({
'bold': True,
'align': 'center',
'border': 6,
'valign': 'vcenter',
'fg_color': '#D7E4BC',
'font_name': 'Calibri',
'font_size': 12,
'text_wrap': True
})
# Write a merge range.
start_col = 0
end_col = 3
worksheet.merge_range(start_row, start_col, start_row + 1, end_col,
"CompanyName: ABC\nCountry: USA", header2)
# Close the Pandas Excel writer and output the Excel file.
writer.save()
Output: