Closed davidfee5 closed 4 years ago
I get the following error when I attempt example_regional.py
:
File "/Users/ldtoney/repos/rtm/rtm/grid.py", line 536, in grid_search
S.loc[dict(x=x, y=y)] = stk[i, j, :]
File "/opt/miniconda3/envs/rtm/lib/python3.7/site-packages/xarray/core/dataarray.py", line 205, in __setitem__
self.data_array[pos_indexers] = value
File "/opt/miniconda3/envs/rtm/lib/python3.7/site-packages/xarray/core/dataarray.py", line 658, in __setitem__
self.variable[key] = value
File "/opt/miniconda3/envs/rtm/lib/python3.7/site-packages/xarray/core/variable.py", line 768, in __setitem__
indexable[index_tuple] = value
File "/opt/miniconda3/envs/rtm/lib/python3.7/site-packages/xarray/core/indexing.py", line 1267, in __setitem__
array[key] = value
ValueError: could not broadcast input array from shape (1321) into shape (241)
it arises from the fact that we're specifying a starttime
and and endtime
for the grid search for this example, which is why example_local.py
is unaffected. The time dimension of S
is smaller — timing_st[0].count()
= 241 — than the number of samples in the time dimension of stk
— st_proc[0].count()
= 1321.
I get the following error when I attempt
example_regional.py
:File "/Users/ldtoney/repos/rtm/rtm/grid.py", line 536, in grid_search S.loc[dict(x=x, y=y)] = stk[i, j, :] File "/opt/miniconda3/envs/rtm/lib/python3.7/site-packages/xarray/core/dataarray.py", line 205, in __setitem__ self.data_array[pos_indexers] = value File "/opt/miniconda3/envs/rtm/lib/python3.7/site-packages/xarray/core/dataarray.py", line 658, in __setitem__ self.variable[key] = value File "/opt/miniconda3/envs/rtm/lib/python3.7/site-packages/xarray/core/variable.py", line 768, in __setitem__ indexable[index_tuple] = value File "/opt/miniconda3/envs/rtm/lib/python3.7/site-packages/xarray/core/indexing.py", line 1267, in __setitem__ array[key] = value ValueError: could not broadcast input array from shape (1321) into shape (241)
it arises from the fact that we're specifying a
starttime
and andendtime
for the grid search for this example, which is whyexample_local.py
is unaffected. The time dimension ofS
is smaller —timing_st[0].count()
= 241 — than the number of samples in the time dimension ofstk
—st_proc[0].count()
= 1321.
I've got an idea on how to address this but am about to hop on a plane for 13 hrs, so hold off on any major changes for a bit!
I just sped up celerity_travel_time()
on master and merged across all branches. It shouldn't affect this PR though.
Move from stream- to numpy-based grid search that pre-computes samples to remove in the ravel-time correction.