Java arrays passed to python script can't be passed to pandas.DataFrame

I have a double array in java. When i print the array it shows like: [6.390933837890625, 6.412708740234375, 6.383675537109375, 6.398192138671875, 6.40907958984375, 6.40907958984375, 6.416337890625, 6.4054504394531255, 6.40907958984375.....]

I pass it as arg to a python script func:

Python py = Python.getInstance();
PyObject pyObject=py.getModule("test");
pyObject.callAttr("showArr",darr);

Where my test.py is:

def showArr(arr):
	print(arr)

in python o/p it shows: jarray('D')([6.390933837890625, 6.412708740234375, 6.383675537109375, 6.398192138671875, .......])

Because of this am not being able to call pandas.DataFrame(arr) When i print a simple array in python it prints fine:

>>> arr=[1,2,3]
>>> print(arr)
[1, 2, 3]

Why does this jarray('D') gets prepended when i pass the double array to the py script?

[mhsmith]

The jarray is being printed to indicate the object type, just like a Numpy array is printed as array(...).

I assume the error you got when passing the array to pandas.DataFrame was TypeError: __getbuffer__ is not implemented for double[]. This will be fixed in the next version of Chaquopy.

Meanwhile, you can work around it by writing pandas.DataFrame(list(arr)).

[mhsmith]

This issue is fixed in Chaquopy 10.0.1, except for the 1-dimensional case mentioned in the previous comment.

To upgrade, edit your app’s top-level build.gradle file and change the version number of com.chaquo.python:gradle.