I am trying to read excel with multiple sheets. I am able to read most of the files and their sheet names quiet correctly. However, some sheet names have a blank trailing space either before or after.
# I know the sheet name
party_str="Party Details"
# Reading that Sheet name
sheets['df_Party'] = pd.read_excel(open(data_file,'rb'), party_str)
**Error:**
XLRDError: No sheet named <'Party Details'>
Extra space after Details
Is there any pythonic way to handle this?
Use xlrd to get your sheet names of the file if that's convenient for you:
import xlrd
xls = xlrd.open_workbook('your_xlsx_file.xlsx')
print(xls.sheet_names())
Related
I am creating a class, where one of the methods "load()" wants to receive an excel file, retrieve the list of spreadsheets in the excel file and then return back the individual sheets of the file as a dictionary:
For example:
{“Sheet Name 1”: DataFrame,
“Sheet Name 2”: DataFrame,
“Sheet Name N”: DataFrame}
I am unsure of how best to do this. Other forums have suggested me to use xlrd or openpyxl but I have tried and can't solve this currently.
You can use openpyxl as follows
from openpyxl import load_workbook
workbook = load_workbook(filename="testing.xlsx")
# create the dictionary to hold the dataframes
data_dict = {}
# loop through each sheet, storing the sheetname and the dataframe
for sheet in workbook.sheetnames:
data_dict[sheet] = pd.read_excel('testing.xlsx', sheet_name=sheet)
I have my code like this :
import xlsxwriter
workbook = xlsxwriter.Workbook('result.xlsx')
sheet = workbook.get_worksheet_by_name('result')
but sheet always be None
I have checked my result.xlsx.I'm sure result.xlsx have 'result' sheet.
Why?
xlsxwriter, as the name suggests, can't read xlsx files but only write them. By doing this xlsxwriter.Workbook('result.xlsx') you create a new python object, but you're not actually reading or writing that file on your hard drive.
As Joost answered, xlsxwriter can't read xlsx files but only write them. Maybe you could use codes below to instead:
data = openpyxl.load_workbook('result.xlsx')
sheet = data['result']
I have a .xls Excel file and know the VBA CodeName property for the sheet I want to read. How can I read the sheet into Python by using the Sheet's CodeName property, rather than it's Name property?
Topic discussing the difference between VBA CodeName and Name: Excel tab sheet names vs. Visual Basic sheet names
#you have to install the module
#import the xlrd module
import xlrd
workbook = xlrd.open("example.xls") #it can take x|xs|xls format
#if you know the name of the sheet use
sheet = workbook.sheet_by_name("name of the sheet")
#or you can use index number
sheet = workbook.sheet_by_index("index of the sheet here")
#you can print the cell you want like this
print(" print from the 4th row 2nd cell".format(sheet(4,2).value))
if this was helpful give it a like if not i don't understand english well thankyou and i am new
Is there any way to create a CSV file with multiple sheets programmatically in Python?
Multiple CSV files. One CSV file per sheet.
A comma seperated value file is a plain text format. It is only going to be able to represent flat data, such as a table (or a 'Sheet')
For storing multiple sheets, you should use separate CSV files. You can write each one separately and import/parse them individually into their destination.
The xlsxwriter library is what you're looking for. It can make a workbook with multiple sheets.
Look at the link for tutorials and code.
P.S I am answering this because this is the first result I got when searching on how to do this. Hopefully this helps others.
Not sure what you are trying to do with Multiple Sheets of CSV's.
Let me elaborate my thinking on this.
Maybe you want a folder with different CSV files in it.
If you "can" use XML then probably you may want to have XML sheet in a big XML "Workbook".
Haven't seen multiple sheets of csv yet.
This worked for me as a conversion from excel to CSV while exporting individual sheet names.
xls = pd.read_excel/csv('file name.xls/csv', sheet_name =['1','2','3','4','5','6','7','8','9','10'])
#list out the sheets you want to export in the bracket above separated by commas and ' '
for sheet_name, df in xls.items():
df['sheets'] = sheet_name
df[['sheets']].to_csv(f'{sheet_name}.csv', header=None)
export_csv = df.to_csv (r'Location you want to export to on your machine',
index = None, header=True)
How do you add a new column and/or row to a sheet in xlrd?
I have a .xls file that I read using open_workbook() and I need to add a new column("bouncebacks") to the first sheet then new rows to that sheet but I cannot find any functions in the xlrd documentation that shows how to add new rows and/or columns?
If I cant add a row/column in xlrd is there another way/library that allows me to add a row or column to an .xls file?
Can you show me how I can add a row and column to a sheet?
import xlrd
book = xlrd.open_workbook("abc.xls")
sheet = book.sheet_by_index(0)
# how do I add a new column("bouncebacks") to the sheet?
# how do I add a new row to the sheet?
xlrd reads xls files. xlwt creates new xls files. You need xlutils. Read this. Work through the tutorial that you'll find mentioned there.
xlrd is for reading from an .xls file. for writting to it use xlwt.