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Bug fix - to handle "u: list of array-like, shape (n_samples, n_co… #605

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Bug fix - to handle "u: list of array-like, shape (n_samples, n_co… #605

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9 changes: 5 additions & 4 deletions pysindy/pysindy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -896,13 +896,14 @@ def comprehend_and_validate(arr, t):
if u is not None:
reshape_control = False
for i in range(len(x)):
if len(x[i].shape) != len(np.array(u[i]).shape):
if len(np.array(x[i]).shape) != len(np.array(u[i]).shape):
reshape_control = True
if reshape_control:
try:
shape = np.array(x[0].shape)
shape[x[0].ax_coord] = -1
u = [np.reshape(u[i], shape) for i in range(len(x))]
shape = [list(np.array(xi).shape) for xi in x]
for i in range(len(shape)):
shape[i][x[i].ax_coord] = -1
u = [np.reshape(u[i], shape[i]) for i in range(len(x))]
except Exception:
try:
if np.isscalar(u[0]):
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8 changes: 4 additions & 4 deletions pysindy/utils/axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -811,10 +811,10 @@ def _apply_indexing(

def comprehend_axes(x):
axes = {}
axes["ax_coord"] = len(x.shape) - 1
axes["ax_time"] = len(x.shape) - 2
if x.ndim > 2:
axes["ax_spatial"] = list(range(len(x.shape) - 2))
axes["ax_coord"] = len(x if isinstance(x, list) else x.shape) - 1
axes["ax_time"] = len(x if isinstance(x, list) else x.shape) - 2
if np.array(x).ndim > 2:
axes["ax_spatial"] = list(range(len(x if isinstance(x, list) else x.shape) - 2))
return axes


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