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

See original GitHub issue

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");

Where my is:

def showArr(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?

Issue Analytics

  • State:closed
  • Created 3 years ago
  • Comments:8 (6 by maintainers)

github_iconTop GitHub Comments

mhsmithcommented, Jun 5, 2020

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)).

mhsmithcommented, Sep 22, 2021

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.

Read more comments on GitHub >

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