Load text file into NumPy array (ndarray) using genfromtext() function

Overview:

The numpy function genfromtext() generates an ndarray from a text file.
It differs from loadtxt() that genfromtext() can handle missing values and replace them with specific values. Similar to loadtxt() the function genfromtext() also support converting values of columns on the fly.
The function genfromtext() is flexible in handling the inconsistencies present in the number of columns. It can be specified to raise an exception or to skip the rows where column number anomalies exist.

Example:

# Example Python program that reads from a text
# file and creates an ndarray. The genfromtxt()
# also treats the missing values by filling them with a
# zero

import numpy

dataFile = "quotes.txt"
data = numpy.genfromtxt(dataFile,
                       delimiter=",",
                       missing_values = '',
                       filling_values = 0,
                       autostrip = False)
numpy.set_printoptions(formatter={'float_kind':'{:f}'.format})
print(data)

Input file:

# Strike price, option(call - 0, put - 1), price, Price of Underlying
110.0,0,8,102 # 110 call
110.0,1,10,102 # 110 put
120.0,0,4,102 # 120 call
120.0,1,22,102 # 120 put
130.0,0,1, # 130 call
130.0,1,30,5290.50 # 130 put

Output:

[[110.000000 0.000000 8.000000 102.000000]

[110.000000 1.000000 10.000000 102.000000]

[120.000000 0.000000 4.000000 102.000000]

[120.000000 1.000000 22.000000 102.000000]

[130.000000 0.000000 1.000000 0.000000]

[130.000000 1.000000 30.000000 5290.500000]]