Sometimes in a competitive coding environment, we get input in some other datatypes and we need to convert them in other forms this problem is same as that we have an input in the form of string and we need to convert it into floats.
Let’s discuss a few ways to convert an array of strings to array of floats.
Method #1 : Using astype
# Python code to demonstrate converting # array of strings to array of floats # using astype import numpy as np # initialising array ini_array = np.array(["1.1", "1.5", "2.7", "8.9"]) # printing initial array print ("initial array", str(ini_array)) # conerting to array of floats # using np.astype res = ini_array.astype(np.float) # printing final result print ("final array", str(res)) |
initial array ['1.1' '1.5' '2.7' '8.9'] final array [ 1.1 1.5 2.7 8.9]
Method #2: Using np.fromstring
# Python code to demonstrate converting # array of strings to array of floats # using fromstring import numpy as np # initialising array ini_array = np.array(["1.1", "1.5", "2.7", "8.9"]) # printing initial array print ("initial array", str(ini_array)) # conerting to array of floats # using np.fromstring ini_array = ', '.join(ini_array) ini_array = np.fromstring(ini_array, dtype = np.float, sep =', ' ) # printing final result print ("final array", str(ini_array)) |
initial array ['1.1' '1.5' '2.7' '8.9'] final array [ 1.1 1.5 2.7 8.9]
Method #3: Using np.asarray() and type
# Python code to demonstrate # converting array of strings to array of floats # using asarray import numpy as np # initialising array ini_array = np.array(["1.1", "1.5", "2.7", "8.9"]) # printing initial array print ("initial array", str(ini_array)) # conerting to array of floats # using np.asarray final_array = b = np.asarray(ini_array, dtype = np.float64, order ='C') # printing final result print ("final array", str(final_array)) |
initial array ['1.1' '1.5' '2.7' '8.9'] final array [ 1.1 1.5 2.7 8.9]
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