This recipe includes the following topics:

# import modules
import csv
import numpy as np

filename = 'pima-indians-diabetes.data.csv'

# open file in read mode
f = open(filename, 'r')

# create csv reader that can iterate through rows
pimaCSVReader = csv.reader(f, delimiter=',')
    
# convert iterable csv object into a list
pimaList = list(pimaCSVReader)

# convert into numpy array
# convert string to float
pimaArr = np.array(pimaList).astype('float')

# display row, column size
print(pimaArr.shape)

# display first row
pimaArr[0]

(768, 9)

array([  6.   , 148.   ,  72.   ,  35.   ,   0.   ,  33.6  ,   0.627,
        50.   ,   1.   ])