Read Multiple Data File Into Multiple Arrays Python

I am new to Python, and I have a problem in dealing with multiple data files. I want to read multiple data files into multiple arrays, for example, I want to read data in 1c.txt to

Solution 1:

You should use a Python dict to hold a mapping to arrays:

import numpy as np

dict_of_arrays={}

for i inrange(1,15):
    dict_of_arrays['c%i' % i]=np.array([1,2,3])

print dict_of_arrays  

Prints:

{'c11': array([1, 2, 3]), 'c13': array([1, 2, 3]), 'c9': array([1, 2, 3]), 'c8': array([1, 2, 3]), 'c14': array([1, 2, 3]), 'c12': array([1, 2, 3]), 'c3': array([1, 2, 3]), 'c2': array([1, 2, 3]), 'c1': array([1, 2, 3]), 'c10': array([1, 2, 3]), 'c7': array([1, 2, 3]), 'c6': array([1, 2, 3]), 'c5': array([1, 2, 3]), 'c4': array([1, 2, 3])}

Then access an individual array thus: dict_of_arrays['c11'] to access the data from file c11 as an example.

Solution 2:

Well, I can answer at least some of those questions.

I found I could not use the code as: ['c%s' % i] = np.loadtxt(['%sc.txt' % i]

That is because ['c%i' % i] will give you a list of strings, not variables. By doing globals()[string] you are accessing (assigning) to a dictionary (the globals() dictionary). I highly recommend NOT using globals()!

Do something like:

mydict = {}
for i in range(1,15):
    mydict['c%i' % i] = np.loadtxt('c%i.txt' % i, usecols=(0,1,2))

I also notice that you are using %s where you should be using %i in your formatting, %s is for strings but your variable i is an integer.