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
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