deephaven.npy

Deephaven NumPy utilities.

numpy_sample(t, nRow, dtype=<class 'numpy.float64'>, rows=None, imageWidth=None, imageHeight=None, imageResize=True, imageColor=None)

Randomly sample rows from a a table or tables into numpy arrays.

Parameters

  • t – table or list of tables

  • rowStart – first row of the slice

  • dtype – numpy datatype or array of numpy datatypes to generate from the table(s)

  • rows – row indices to produce the sample. None randomly selects rows.

  • imageWidth – width of the output image in pixels.

  • imageHeight – height of the output image in pixels.

  • imageResize – True to resize images; False otherwise.

  • imageColor – True to return color images; False to return gray-scale images.

Returns

numpy data sampled from the input tables. Scalar if one input table or tuple if input table list.

numpy_slice(t, rowStart, nRow, dtype=<class 'numpy.float64'>, imageWidth=None, imageHeight=None, imageResize=True, imageColor=None)

Convert a table or tables into numpy arrays.

Parameters

  • t – table or list of tables

  • rowStart – first row of the slice

  • nRow – number of rows in the slice

  • dtype – numpy datatype or array of numpy datatypes to generate from the table(s)

  • imageWidth – width of the output image in pixels.

  • imageHeight – height of the output image in pixels.

  • imageResize – True to resize images; False otherwise.

  • imageColor – True to return color images; False to return gray-scale images.

Returns

numpy data sampled from the input tables. Scalar if one input table or tuple if input table list.