Hello Peter, Many thanks for your suggestion. Now I am using Pandas & I already did that but now I need to make a multi-dimensional array for reading all variables (5 in this case) at one x-axis, so I can perform multiple regression analysis.
I am not getting how to bring all variables at one axis (e.g. at x-axis)? Thanks Vishal On Sunday, 19 November 2017 22:32:06 UTC+5:30, Peter Otten wrote: > 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) > > You are not the first to read tabular data from a file; therefore numpy (and > pandas) offer highlevel function to do just that. Once you have the complete > table extracting a specific column is easy. For instance: > > $ cat rainfall.txt > 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 > $ python3 > Python 3.4.3 (default, Nov 17 2016, 01:08:31) > [GCC 4.8.4] on linux > Type "help", "copyright", "credits" or "license" for more information. > >>> import numpy > >>> rf = numpy.genfromtxt("rainfall.txt", names=True) > >>> rf["RF"] > array([ 120.235, 200.14 , 185.362, 201.895, 165.235, 198.236, > 350.263, 145.25 , 198.654, 245.214, 214.02 , 147.256]) > >>> rf["P3"] > array([ 0.145, 0.214, 0.136, 0.217, 0.22 , 0.215, 0.321, 0.147, > 0.224, 0.311, 0.242, 0.311]) -- https://mail.python.org/mailman/listinfo/python-list