On Sun, 19 Nov 2017, shalu.ash...@gmail.com wrote: >
Hi, All,
>
>I have 6 variables in CSV file. One is rainfall (dependent, at
>y-axis) and others are predictors (at x). I want to do multiple
>regression and create a correlation matrix between rainfall (y) and
>predictors (x; n1=5). Thus I want to read rainfall as a separate
>variable and others in separate columns, so I can apply the algo. However, I am
>not able to make a proper matrix for them.
>
>Here are my data and codes?
>Please suggest me for the same.
>I am new to Python.
>
>RF P1 P2 P3 P4 P5
>120.235 0.234 -0.012 0.145 21.023 0.233
>200.14 0.512 -0.021 0.214 22.21 0.332
>185.362 0.147 -0.32 0.136 24.65 0.423
>201.895 0.002 -0.12 0.217 30.25 0.325
>165.235 0.256 0.001 0.22 31.245 0.552
>198.236 0.012 -0.362 0.215 32.25 0.333
>350.263 0.98 -0.85 0.321 38.412 0.411
>145.25 0.046 -0.36 0.147 39.256 0.872
>198.654 0.65 -0.45 0.224 40.235 0.652
>245.214 0.47 -0.325 0.311 26.356 0.632
>214.02 0.18 -0.012 0.242 22.01 0.745
>147.256 0.652 -0.785 0.311 18.256 0.924
>
>import numpy as np
>import statsmodels as sm
>import statsmodels.formula as smf
>import csv
>
>with open("pcp1.csv", "r") as csvfile:
> readCSV=csv.reader(csvfile)
>
> rainfall = []
> csvFileList = []
>
> for row in readCSV:
> Rain = row[0]
> rainfall.append(Rain)
>
> if len (row) !=0:
> csvFileList = csvFileList + [row]
>
>print(csvFileList)
>print(rainfall)
>
>Please suggest me guys
>Thanks
>
There seems to be a conceptual disconnect here.
Do you happen to know what the letters C,S,V
stand for in CSV file? Because I don't see any C's
in your data, and I don't see anything in your code
to use anything other than C to S your V's.
I'm thinking that is the first place you should look.
You could either modify your data file (with a nice global replace/change)
or you could give a different value to one of the default parameters
to the functions you use to open the file.
Roger Christman
Pennsylvania State University
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