I have a csv file that contains 10 columns and 6 rows that I want to convert into a numpy array. Although it loads, I cannot use the data right now and I think I am missing a step.

My code right now looks like this 

```
import numpy as np

filename = "test_ioc.csv"

# open file
f=open(filename)

# initialize this 
myfile = [] 

# Convert to numpy array
mat = np.vstack([signal for signal in f.readlines()])
print mat

```

alternatively, I have also done this:

```
import numpy as np

filename = "test_ioc.csv"

# open file
f=open(filename)

# initialize this 
myfile = [] # empty nested list that is the big container, this contains all the rows

# f.readlines, and for each line,
for line in f.readlines():

#create a list for each row
row = [] # empty list for row items, each row has 2 lists

# line.strip, line.split, and for each i in this:
for eye in line.strip().split():

    # convert elements into floats

    row.append(eye) # append each item to list 'row'

# append all the parts row to the list myfile that you created
myfile.append(row) #append list to my file

print myfile

# now that you have your gigantic list myfile, convert to it to numpy array
a = np.array(myfile) #convert the list into a numpy array

# slice accordingly!
x = a[:,0] #first column
y = a[:,1] #second column
f.close() 

```

The first one gives me an output like this:

```
print a
    [['2043l0.wav,0.115,0.169,0.222,0.23,2043l0.wav,0.21,0.169,0.238,0.23']
 [ 'dn2001l0.wav,0.105,0.161,0.242,0.222,dn2001l0.wav,0.153,0.176,0.207,0.207']
 ['2694l0.wav,0.13,0.192,0.33,0.314,2694l0.wav,0.192,0.184,0.207,0.238']
 ['2641l0.wav,0.123,0.146,0,0.407,2641l0.wav,0.199,0.199,0.199,0.176']
 ['2622l0.wav,0.284,0.353,0.582,0.582,2622l0.wav,0.268,0.161,0.176,0.184']
 ['dn2047l0.wav,0.12,0.23,0.368,0.322,dn2047l0.wav,0.369,0.169,0.207,0.222']]

```

I really need to split my rows further into 2 sets of 4, convert each number in each row into a float but I am new to python and just want to be able to do some basic operations on my data and graph it using matplotlib. Thanks for your help!