Pandas can also directly write to an Excel file, fyi. The solution may be to use sep = None, this will force the Python engine which can automatically detect the separator (read the docs for details). I can't see any ' ' delimiters in your text file, though. (Jan-01-2021, 06:52 AM)palladium Wrote: (Jan-01-2021, 06:29 AM)SunWers Wrote: I'm thinking it's because of this part of the code with the Įasiest way to find out is to print out the dataframe and see how many columns you get.
Text to csv converter how to#
From there I was going to figure out how to import it in to the correct columns for the Cutter A - Marker Report.xlsx that I have created. csv file that I would then need to convert to a. I was thinking I needed to convert it to a. xlsx file (Cutter A - Marker Report.xlsx) that I mentioned in an earlier post. I'm trying to import this text file with specific columns into a. I'm thinking it's because of this part of the code with the ĭf = pd.read_csv(in_filename, sep=" ")Or am I going completely wrong with what I'm thinking. Out_filename = os.path.join(save_path,'Output.csv')ĭf.to_csv(out_filename, index=False)But when I run this code it converts all columns into one In_filename = os.path.join(save_path,'mytxt.txt') Save_path = "C:/Users/vhubb/Documents/Python Scripts" I run the code below to try and convert it to. I was thinking it was a tab delimited file but when I import it in from out Gerber cutters it comes in as a text file.
I think I'm missing how to import the columns.
I'm needing a little help getting a text/tab delimited file imported in with python.
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