B. Hanel - 3 months ago 5

Python Question

What I am trying to do is make a table based on a piece-wise function in python. For example, say I wrote this code:

`import numpy as np`

from astropy.table import Table, Column

from astropy.io import ascii

x=np.array([1,2,3,4,5])

y = x * 2

data = Table([x,y], names = ['x','y'])

ascii.write(data, "xytable.dat")

xytable = ascii.read("xytable.dat")

print xytable

This works as expected, it prints a table that has x values 1 through 5 and y values 2, 4, 6, 8, 10.

But, what if I instead want y to be x * 2 only if x is 3 or less, and y to be x + 2 otherwise?

If I add

`if x > 3:`

y = x + 2

it says

`The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()`

How do I code my table so it works as a piece-wise function?

Answer

You can possibly use `numpy.where()`

:

```
In [196]: y = np.where(x > 3, x + 2, y)
In [197]: y
Out[197]: array([2, 4, 6, 6, 7])
```

The code above gets the job done in a fully vectorized manner. This approach is generally more efficient (and arguably more elegant) than using list comprehensions and type conversions.

Source (Stackoverflow)

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