Issues with numpy 1.24.0 #194
Comments
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Thanks for reporting @julianblue. This maybe seems like numpy/numpy#22004:
However I'm confused, since we do already pass I won't be able to work on this for a few weeks. For now, pinning NumPy is a fine workaround; ideally we'd make a release doing that. If anyone wants to take a look at this sooner, please post what you find here. |
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Do you have a reproducible example @julianblue? I can't reproduce using stackstac |
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@TomAugspurger I did not specify the assets to pull all available bands. Specifying the assets does NOT cause the error to be raised @gjoseph92 . stack = stackstac.stack(itm_coll, resolution=10) |
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the code fails in the metadata conversion for proj:transform (not present in the preview band) [[10.0, 0.0, 399960.0, 0.0, -10.0, 5700000.0], [60.0, 0.0, 399960.0, 0.0, -60.0, 5700000.0], [10.0, 0.0, 399960.0, 0.0, -10.0, 5700000.0], [10.0, 0.0, 399960.0, 0.0, -10.0, 5700000.0], [10.0, 0.0, 399960.0, 0.0, -10.0, 5700000.0], [20.0, 0.0, 399960.0, 0.0, -20.0, 5700000.0], [20.0, 0.0, 399960.0, 0.0, -20.0, 5700000.0], [20.0, 0.0, 399960.0, 0.0, -20.0, 5700000.0], [10.0, 0.0, 399960.0, 0.0, -10.0, 5700000.0], [60.0, 0.0, 399960.0, 0.0, -60.0, 5700000.0], [20.0, 0.0, 399960.0, 0.0, -20.0, 5700000.0], [20.0, 0.0, 399960.0, 0.0, -20.0, 5700000.0], [20.0, 0.0, 399960.0, 0.0, -20.0, 5700000.0], [20.0, 0.0, 399960.0, 0.0, -20.0, 5700000.0], [10.0, 0.0, 399960.0, 0.0, -10.0, 5700000.0], [10.0, 0.0, 399960.0, 0.0, -10.0, 5700000.0], None]The none in the list should ideally not exist for raster band data and should be a transform like the other bands? This causes props_arr = np.squeeze(
np.array(
props,
# Avoid DeprecationWarning creating ragged arrays when elements are lists/tuples of different lengths
dtype="object"
if (
isinstance(props, _ourlist)
and len(set(len(x) for x in props if isinstance(x, (list, tuple))))
> 1
)
else None,
)
)to set dtype=None and raises the error. Shouldn't the dtype in that case be set to "object" as well instead of none? |
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@julianblue can you give #195 a try? I don't have a computer available, so just did this on my phone and can't test it out. I feel like something along these lines might work (not sure if this is exactly the thing to do, though). |
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Hi @gjoseph92 , |
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I hit this issue today on stackstac==0.4.3. It is happening when I use the query extension to filter out Landsat 7 items from the landsat-c2-l2 collection in the Planetary Computer STAC. Other operations that use the Here is a reprex: import planetary_computer
import pystac_client
import stackstac
COLLECTION = "landsat-c2-l2"
BBOX = (-91.67481115470213, 47.86318699029263, -91.52471085746416, 47.93118792159696)
DATE_RANGE = ["2022-07-01", "2022-07-31"]
EPSG = 5070
RESOLUTION = 30
ASSETS = ["red", "green", "blue", "qa_pixel"]
BOUNDS_5070 = (326000, 2771000, 337000, 2778000)
planetary_computer_catalog = pystac_client.Client.open(
"https://planetarycomputer.microsoft.com/api/stac/v1",
modifier=planetary_computer.sign_inplace,
)
# include all items
stac_items = planetary_computer_catalog.search(
collections=[COLLECTION],
bbox=BBOX,
datetime=DATE_RANGE,
).item_collection()
print(f"there are {len(stac_items)} items if we do not apply any filters")
# works
landsat_stack = stackstac.stack(
items=stac_items,
assets=ASSETS,
epsg=EPSG,
resolution=RESOLUTION,
bounds=BOUNDS_5070,
xy_coords="center",
)
print(landsat_stack)
# filter out cloudy items
stac_items_less_cloudy = planetary_computer_catalog.search(
collections=[COLLECTION],
bbox=BBOX,
datetime=DATE_RANGE,
query={"eo:cloud_cover": {"lte": 50}},
).item_collection()
print(f"there are {len(stac_items_less_cloudy)} items if we exclude cloudy images")
# works
landsat_stack_filt = stackstac.stack(
items=stac_items_less_cloudy,
assets=ASSETS,
epsg=EPSG,
resolution=RESOLUTION,
bounds=BOUNDS_5070,
xy_coords="center",
)
print(landsat_stack_filt)
# exclude Landsat 7
stac_items_no_landsat_7 = planetary_computer_catalog.search(
collections=[COLLECTION],
bbox=BBOX,
datetime=DATE_RANGE,
query={"platform": {"neq": "landsat-7"}},
).item_collection()
print(f"there are {len(stac_items_no_landsat_7)} items if we exclude Landsat 7")
# fails with inhomogenous error
landsat_stack_filt = stackstac.stack(
items=stac_items_no_landsat_7,
assets=ASSETS,
epsg=EPSG,
resolution=RESOLUTION,
bounds=BOUNDS_5070,
xy_coords="center",
)
print(landsat_stack_filt)Output: |
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FYI @julianblue @hrodmn, I just released a version with this fixed (0.4.4). Sorry for the long wait. |
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Thanks @gjoseph92! |
Hi @gjoseph92 ,
I am getting an error when trying to stack data when the latest numpy version 1.24.0 is installed. All works fine with 1.23.5.
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