This content originally appeared on DEV Community and was authored by Labby
Introduction
In this lab, we will cover the isnumeric() function of the char module in the Numpy library. This function is used to check if a string contains only numeric characters. The function returns True if there are only numeric characters in the string, otherwise, it returns False.
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Import Numpy Library
We need to import the numpy library before we can use the isnumeric() function. We use the import keyword followed by the library name numpy and the nickname np:
import numpy as np
Using isnumeric() with a Single String
We can use the isnumeric() function to check if a single string contains only numeric characters. Let's use an example string "12Apple90" and apply the isnumeric() function to it:
import numpy as np
string1 = "12Apple90"
print("The Input string is:")
print(string1)
x = np.char.isnumeric(string1)
print("The Output is:")
print(x)
Output:
The Input string is:
12Apple90
The Output is:
False
As we can see, the isnumeric() function returns False as there are non-numeric characters in the input string.
Using isnumeric() with an Array
We can also use the isnumeric() function with an array of strings. Let's use an example array inp_ar which contains a mixture of numeric and non-numeric strings:
import numpy as np
inp_ar = np.array(['1', '2000', '90', '3.5', '0'])
print("The Input array is:")
print(inp_ar)
outp_arr = np.char.isnumeric(inp_ar)
print("The Output array is:")
print(outp_arr)
Output:
The Input array is:
['1' '2000' '90' '3.5' '0']
The Output array is:
[ True True True False True]
As we can see, the isnumeric() function returns an array of boolean values with True indicating that the string contains only numeric characters and False indicating that the string contains non-numeric characters.
Limitations of isnumeric()
It is important to note that the isnumeric() function returns False for a string with a numeric value with a decimal, as shown in Example 2 above.
Summary
In this lab, we learned about the isnumeric() function of the Numpy library. We covered how to use it with single strings and arrays, as well as the limitations of the function.
Want to learn more?
- 🚀 Practice Numpy Isnumeric Function
- 🌳 Learn the latest NumPy Skill Trees
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This content originally appeared on DEV Community and was authored by Labby
Labby | Sciencx (2024-06-30T03:24:33+00:00) Numpy Isnumeric Function: Mastering Numeric String Validation. Retrieved from https://www.scien.cx/2024/06/30/numpy-isnumeric-function-mastering-numeric-string-validation/
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