Normalizing and denormalizing data
Given the following code: # import required to process csv files with pandas import pandas as pd #for array manipulation import numpy as np # use pandas to import a…
Preparing data for an LSTM network
In this post I'm going to be working out and learning out preparing data for LSTM networks, particularly data with several features. With LSTM networks we are able to deal…
Manipulating csv file output in Python
Given a csv file with the values: 1,10,20,30,40,50,60,70,80,90,1002,210,220,230,240,250,260,270,280,290,3003,310,330,340,350,360,370,380,390,400,410 training_data_file = open ("Anaconda3JamesData/james_test_3.csv","r") training_data_list = training_data_file.readlines() training_data_file.close() count=0 for record in training_data_list: # split the record by , and create a…
Understanding csv file outputs in Python
Given a csv file with the data 1,10,20,30,40,50,60,70,80,90,1002,210,220,230,240,250,260,270,280,290,3003,310,330,340,350,360,370,380,390,400,410 training_data_file = open ("Anaconda3JamesData/james_test_3.csv","r") training_data_list = training_data_file.readlines() training_data_file.close() count=0 for record in training_data_list: print (record) count+=1 pass print (count) 1,10,20,30,40,50,60,70,80,90,100 2,210,220,230,240,250,260,270,280,290,3003,310,330,340,350,360,370,380,390,400,410 3…
Returning normalised data from a csv file in Python
Given a csv file with the contents 1,10,20,30,40,50,60,70,80,90,1002,210,220,230,240,250,260,270,280,290,3003,310,330,340,350,360,370,380,390,400,410 I want to read all data except the first value of each row (effectively ignore the first column). Before output, I want…
Reading data from CSV file in Python
Here is an example of data within a csv file "james_test_3.csv" 0.01,10,20,30,40,50,60,70,80,90,1002,22,32,42,52,62,0.02,82,92,102,1123,33,999,53,63,73,83,93,4539,113,123 I want to read all of the values in the CSV file but not read the first value…