The Python cmath.nan constant returns a floating point nan(Not a Number). This constant is represented as NaN. It is a predefined value used to denote undefined numerical values, practically these are raised by mathematical operations.
NaN is used to represent the result of operations that are mathematically undefined, such as zero by zero, square root of a negative number.
SyntaxFollowing is the basic syntax of the Python cmath.nan constant −
cmath.nanExample 1
In the below example we are creating a NaN value. We will initialize a variable cmath.nan constant that indicates the numeric data.
import cmath x = cmath.nan print("The value of x is:", x)Output
Following is the output of the above code −
The value of x is: nanExample 2
Now, we are are creating a new list "valid_data" containing only the non-NaN values from the original list.
import cmath data = [4.6, cmath.nan, 7.7, cmath.nan, 2.9] valid_data = [x for x in data if not cmath.isnan(x)] print("The valid data points are:", valid_data)Output
The Result obtained is as follows −
The valid data points are: [4.6, 7.7, 2.9]Example 3
Here, we are calculating sum of NaN numbers (Sum of any NaN numbers is always a NaN).
import cmath x = 10 y = cmath.nan z = 20 w = cmath.nan result = x + y + z +w print("The result of the calculation is:", result)Output
The output is produced as follows −
The result of the calculation is: nanExample 4
Now, we are creating list containing numeric values, including NaN values using cmath.nan. We will compare all the values from the list and filter the NaN values.
import cmath values = [15, cmath.nan, 63, cmath.nan, 25] filtered_values = [x for x in values if not cmath.isnan(x)] print("The list after filtering out NaN values is:", filtered_values)Output
We will get the output as follows −
The list after filtering out NaN values is: [15, 63, 25]
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