2

I have a very basic neural network. For the array data, what code do I need to do to point the array to data in an excel file?

Here is the code with the data hard coded.

How do I tell the array to look at another file on the computer? 

import numpy as np

# X = (hours studying, hours sleeping), y = score on test
xAll = np.array(([2, 9], [1, 5], [3, 6], [5, 10], [8,8], [1,4]), 
dtype=float) # input data
y = np.array(([92], [60], [89], [91], [99]), dtype=float) # output

# scale units
xAll = xAll/np.amax(xAll, axis=0) # scaling input data
y = y/100 # scaling output data (max test score is 100)

# split data
X = np.split(xAll, [5])[0] # training data has to match all input data E 
X testing data
xPredicted = np.split(xAll, [5])[1] # testing data

class Neural_Network(object):
  def __init__(self):
  #parameters
    self.inputSize = 2
    self.outputSize = 1
    self.hiddenSize = 3
Khurram Khalil
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BostonD1
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  • Pandas has built in support for writing and reading excel files. https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#io-excel-reader – Håken Lid Jul 27 '19 at 14:15
  • Maybe take a look at this solved question. https://stackoverflow.com/questions/3518778/how-do-i-read-csv-data-into-a-record-array-in-numpy – Cavenfish Jul 27 '19 at 14:16

3 Answers3

5

I recommand considering using Pandas.

with pandas you can easily read excel files on your computer and upload it.

import pandas as pd

data = pd.read_csv(path_to_your_file)

take a look here for more: https://pandas.pydata.org/pandas-docs/stable/

and here too https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html

basilisk
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3

You can use the third-party library pandas, which is provided with all kinds of read/write functions for plain-text and binary files.

In your case, I would import the data straight with the pandas.read_excel function:

import pandas as pd

data = pandas.read_excel("filename.xlsx")
David
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3

Pandas is probably best for this but you could try saving the excel doc as a csv file if you wanted to use the standard library.

import csv

csvfile = 'C://path//to//csvfile.csv'

with open(csvfile) as f:
    data = list(list(d) for d in csv.reader(f, delimiter=','))
Zak M.
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  • Thanks Zak! Sorry for such a silly beginner question... but now how do I get the data into the array above instead of hard coding the numbers like I have been? – BostonD1 Jul 27 '19 at 17:43