McCracken PROTESIS PARCIAL REMOVIBLE 11 Edicion.pdf
McCracken PROTESIS PARCIAL REMOVIBLE 11 Edicion.pdf
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I have tried every combination of different methods I could find online, but I cannot make it work.
First of all, I tried using this method of processing data:
df = df.groupby([‚fecha‘, ‚fecha_cerrado‘, ‚tipo_producto‘, ‚hora_entrada‘])\
.size().sort(reverse=True).reset_index(name=’count‘)
df.to_csv(filename=’myfile.csv‘, index=False)
But this just sorts the columns for me and some of my headers get messed up.
For example, I get a column of „count“ and a column with a date but they are still messed up.
Is there a way to do this, keeping the column headers as they are? I would like to avoid using the original.to_csv method as I use the command line so it would mess up things.
A:
I’m new at StackOverflow, but here goes.
df = df.groupby([‚fecha‘, ‚fecha_cerrado‘, ‚tipo_producto‘, ‚hora_entrada‘]) \
.size().sort(reverse=True).reset_index(name=’count‘)
result = pd.read_csv(‚myfile.csv‘, index_col=None)
result.to_csv(’newfile.csv‘, mode=’a‘, sep=’\t‘)
So basically you’re reading a csv into a pandas data frame, you
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