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Prior to the model fitting step (which kept generating errors), I was trying to view the “y_delta” array with the print statements.
I obtained the following descriptions of the array.
Are there any way to print the numerical data themselves rather than printing the description of the dask array?
For example, I was able to print the “X_delta” array with “numpy.array()” function, but I got error messages when I used the function, “numpy.array(y_delta)”.
For example, I was able to print the “X_delta” array with “numpy.array()” function, but I got error messages when I used the function, “numpy.array(y_delta)”.
Hi,
I am trying out the example in “Predict Local Properties” section of the webpage (PyMKS (Dask) Introduction — PyMKS)
-------------Script---------------------------------------------------------
x_delta = generate_delta(n_phases=2, shape=(21,21))
y_delta = solve_fe(x_delta,
elastic_modulus=(100,150),
poissons_ratio=(0.3,0.3),
macro_strain=0.001)['strain'][...,0]
Prior to the model fitting step (which kept generating errors), I was trying to view the “y_delta” array with the print statements.
I obtained the following descriptions of the array.
print('y_delta \n',y_delta)
y_delta
dask.array<getitem, shape=(2, 21, 21), dtype=float64, chunksize=(2, 21, 21), chunktype=numpy.ndarray>
print('da.array(y_delta) \n',da.array(y_delta))
da.array(y_delta)
dask.array<getitem, shape=(2, 21, 21), dtype=float64, chunksize=(2, 21, 21), chunktype=numpy.ndarray>
Are there any way to print the numerical data themselves rather than printing the description of the dask array?
For example, I was able to print the “X_delta” array with “numpy.array()” function, but I got error messages when I used the function, “numpy.array(y_delta)”.
print('np.arrary(x_delta) \n',np.array(x_delta))
np.arrary(x_delta)
[[[0 0 0 ... 0 0 0]
[0 0 0 ... 0 0 0]
[0 0 0 ... 0 0 0]
...
[0 0 0 ... 0 0 0]
[0 0 0 ... 0 0 0]
[0 0 0 ... 0 0 0]]
[[1 1 1 ... 1 1 1]
[1 1 1 ... 1 1 1]
[1 1 1 ... 1 1 1]
...
[1 1 1 ... 1 1 1]
[1 1 1 ... 1 1 1]
[1 1 1 ... 1 1 1]]]
Thank you in advance
Woo-Jae
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