python-scipyHow can I use Python and SciPy to calculate the complementary error function (erfc)?
The complementary error function (erfc) can be calculated using Python and SciPy. To do this, we first need to import the SciPy special library and then use the erfc function to calculate the result.
from scipy.special import erfc
x = 0.5
result = erfc(x)
print(result)
Output example
0.47950012218695346
The code consists of the following parts:
from scipy.special import erfc- imports the erfc function from the SciPy special library.x = 0.5- assigns the value 0.5 to the variable x.result = erfc(x)- calculates the result of the erfc function with the value of x.print(result)- prints the result of the calculation.
Helpful links
More of Python Scipy
- How do I create a 2D array of zeros using Python and NumPy?
- How do I create a zero matrix using Python and Numpy?
- How do I use Python Scipy to generate a PDF?
- How can I use Python and SciPy to implement a quantum Monte Carlo simulation?
- How do I create a numpy array of zeros using Python?
- How can I use Python and Numpy to zip files?
- How can I use Python and SciPy to find the zeros of a function?
- How can I use Python Scipy to zoom in on an image?
- How can I use Python and Numpy to parse XML data?
- How can I check if a certain version of Python is compatible with SciPy?
See more codes...