I start off by importing a giant CSV that was originally an .xls and then start breaking up the imported data into their specific columns.
data = pd.read_csv('csv_acrylic_arranged.csv')
X_wavelength = data.iloc[:, 0]
y_2287 = data.iloc[:, 8]
y_2092 = data.iloc[:, 10]
y_2208 = data.iloc[:, 19]
y_373 = data.iloc[:, 21]
y_2051 = data.iloc[:, 30]
y_9092 = data.iloc[:, 32]
y_2146 = data.iloc[:, 41]
y_2424 = data.iloc[:, 43]
And it goes on until I get to the like 170th column - I only realized after I could have just done a for loop :(
But when I want to reformat the data into a new CSV. So since all these y_VALUE
are in columns, I would need to transpose and concat. When I check the concat its the same values as before!
I was super dumb you can just go
pd.DataFrame(data = y_XXXX) = r_XXXX
r_XXXX = r_XXXX.T
Thanks everyone.
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