Feature Request: Use np.sqrt() instead of math.sqrt()

[idontknowwhatimdoing]

It would be nice if the usage of math.sqrt would be replaced by the use of np.sqrt().

If one is to evaluate Arrays of Data the math.sqrt() Function will raise:
TypeError: cannot convert the series to <class 'float'>
even though a series with the type of float is given.

It would make using the fluid module more convenient.

[idontknowwhatimdoing]

Solution: (Sorry i forgot to append)

[idontknowwhatimdoing]

Sorry again i forgot to mention i discoverd the error while trying to calculate the Froude number!

[Caleb Bell]

Hi Idontknowwhatimdoing1234,

Thank you for reaching out and your interest in fluids. Support for numpy arrays is provided in fluids according to the following documentation: https://fluids.readthedocs.io/fluids.vectorized.html
If you are on a platform that supports numba as well, you can accelerate the fluids library with it as shown here: https://fluids.readthedocs.io/fluids.numba.html#numpy-support-fluids-numba-vectorized
You can see another discussion of this issue here: #13 and another about obtaining maximum speed here: CalebBell/chemicals#27
The TL;DR is that I am happy with these options instead of using numpy, and while numpy can be quite convenient, for scalar calls it slows things down unacceptably so I chose not to use it.
I wish that weren't the case, but it is the case today.

Sincerely,
Caleb

[idontknowwhatimdoing]

Hello Caleb,

thank you for your response. That one is completly on me... i didnt see that there was the possibility to vectorize it! Userneame checks out i would say :D

Thank you and keep up the great work!