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)
Related
Simple problem that has me completely dumbfounded. I am trying to read an Excel document with pandas but I am stuck with this error:
ValueError: Worksheet index 0 is invalid, 0 worksheets found
My code snippet works well for all but one Excel document linked below. Is this an issue with my Excel document (which definitely has sheets when I open it in Excel) or am I missing something completely obvious?
Excel Document
EDIT - Forgot the code. It is quite simply:
import pandas as pd
df = pd.read_excel(FOLDER + 'omx30.xlsx')
FOLDER Is the absolute path to the folder in which the file is located.
Your file is saved as Strict Open XML Spreadsheet (*.xlsx). Because it shares the same extension as Excel Workbook, it isn't obvious that the format is different. Open the file in Excel and Save As. If the selected option is Strict Open XML Spreadsheet (*.xlsx), change it to Excel Workbook (*.xlsx), save it and try loading it again with pandas.
EDIT: with the info that you have the original .csv, re-do your cleaning and save it as a .csv from Excel; or, if you prefer, pd.read_csv the original, and do your cleaning from the CLI with pandas directly.
It maybe your excel delete the first sheet of index 0, and now the actual index is > 0, but the param sheet_name of function pd.read_excel is 0, so the error raised.
It seems there indeed is a problem with my excel file. We have not been able to figure out what though. For now the path of least resistance is simply saving as a .csv in excel and using pd.read_csv to read this instead.
This is my database:
https://archive.ics.uci.edu/ml/datasets/Parkinson+Speech+Dataset+with++Multiple+Types+of+Sound+Recordings
This database consist of training data and test data. The training data consists of many features; one column is one feature. I intend to convert each column into a separate Excel sheet.
The following is my Python code that I formulated to convert the entire text file into a CSV. But I intend to convert the entire text file into Excel sheets. For example, the entire text file contains 10 columns, so I want to create 10 Excel sheets with each column separated into one Excel sheet. Can any expert guide me on how to do it? I am completely new to Python so I hope someone can help me.
import pandas as pd
read_file = pd.read_csv (r'C://Users/RichardStone/Pycharm/Project/train_data.txt')
read_file.to_csv (r'C://Users/RichardStone/Pycharm/Project/train_data.csv', index=None)
Try this.
sheetnames = list()
for i in range(len(read_file.columns)):
sheetnames.append('Sheet' + str(i+1))
for i in range(len(read_file.columns)):
read_file.iloc[:, i].to_excel(sheetnames[i] + '.xlsx', index = False)
My data in Excel is not separated by ",". Twitter data separated by columns. When I throw it in Python, it automatically installs DataFrame and Tweets are not showed full text. How can I overcome this?
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If you have a copy open in Excel, the easiest solution would be to save a copy as a csv.
File -> Save As -> dropdown and select CSV.
But pandas also allows you to read excel files. This would be recommended if you have a lot of files and don't want to convert all of them.
df = pd.read_excel(<file>)
Now, if you're saying it isn't .xlsx and also not .csv, but you know the delimiter, then:
df = pd.read_csv(<file>, delimiter='\t') # for tab delimited, but you can change '\t' to any delimiter
I am writing a python script using XlsxWriter to generate an .xlsx file comprising of multiple worksheets. Each worksheet will have multiple tables and lots of formatting - hence my code is getting pretty long. Therefore, I am looking for a way to split the code up, eg. Worksheet 1 corresponding to worksheet1.py, with a 'main' file to compile the worksheets into a single workbook.
I have tried using a function to create a worksheet and calling that from another file to add to an existing workbook - but this method does not work. XlsxWriter requires you to add the worksheet to an existing workbook. (If I'm missing something and this is possible please let me know).
Alternately, I thought of creating individual workbooks with a single worksheet inside and using a second package (openpyxl) to collate the worksheets. However, I think this will alter the formatting on the worksheets. (Again, please let me know if I am missing something).
Any ideas on this subject would be greatly received
Thanks
Edit: example table
example table
Pandas will actually be very helpful in this case.
you can first create writer for your excel file
writer = pd.ExcelWriter('test.xlsx',engine='xlsxwriter')
create you tables are dataframe, check here about dataframes basics
df.to_excel(writer,sheet_name='Sheet 1',startrow=0 , startcol=0)
place that table easily into any excel sheet(workbook) you want just provide the name as argument.
put another table in same sheet
df_1.to_excel(writer,sheet_name='Sheet 1',startrow=20 , startcol=0)
change the row from where you want to start the table, or change the sheet name
Is there is way to create sheet 2 in same csv file by using python code
yes. There is :
df = pd.read_excel("C:\\DWDM\\Status.xlsx") # read ur original file
workbook = load_workbook(filename="C:\\DWDM\\Status.xlsx")
ws2 = workbook.create_sheet("Summary", 0) # other sheet with name Summary is added to the same.
and you can check the same with "workbook.sheetnames"
You can do this by using multiple CSV files - one CSV file per sheet.
A comma-separated 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")
When storing multiple sheets, you should use separate CSV files. You can write each one separately and import/parse them individually into their destination.