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FIX: limit numpy version <2 and squelch warnings #93

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Merged
nocollier merged 4 commits into from
Jun 24, 2024
Merged

FIX: limit numpy version <2 and squelch warnings #93

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d425577
squash pandas warning on converting to float
nocollier Jun 24, 2024
6478c83
numpy 2.0 is causing some difficulties, currently limit while package…
nocollier Jun 24, 2024
b23de1e
remove deprecated package and replace
nocollier Jun 24, 2024
69aa361
shift in site plotting to squash noisy matplotlib warnings
nocollier Jun 24, 2024
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2 changes: 1 addition & 1 deletion setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,7 @@ def write_version_py(filename=os.path.join("src/ILAMB", "generated_version.py"))
scripts=["bin/ilamb-run", "bin/ilamb-fetch", "bin/ilamb-mean", "bin/ilamb-setup"],
zip_safe=False,
install_requires=[
"numpy>=1.11.0, != 1.24.3",
"numpy<2",
"pandas>=1.0.0",
"matplotlib>=2.2",
"cartopy>=0.17.0",
Expand Down
8 changes: 3 additions & 5 deletions src/ILAMB/Variable.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1452,15 +1452,13 @@ def plot(self, ax, **keywords):
transform=ccrs.PlateCarree(),
)
else:
norm = colors.Normalize(vmin, vmax)
cmap = get_cmap(cmap)
clrs = cmap(norm(self.data))
p = ax.scatter(
self.lon,
self.lat,
s=35,
color=clrs,
cmap=cmap,
c=self.data.filled(np.nan),
norm=colors.Normalize(vmin, vmax),
cmap=get_cmap(cmap),
linewidths=0,
transform=ccrs.PlateCarree(),
)
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11 changes: 5 additions & 6 deletions src/ILAMB/ilamblib.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,6 @@
from cf_units import Unit
from mpi4py import MPI
from netCDF4 import Dataset
from pkg_resources import get_distribution, parse_version
from scipy.interpolate import NearestNDInterpolator

from ILAMB.Regions import Regions
Expand Down Expand Up @@ -722,7 +721,7 @@ def FromNetCDF4(
"""
try:
dset = Dataset(filename, mode="r")
if parse_version(get_distribution("netCDF4").version) >= parse_version("1.4.1"):
if "set_always_mask" in dir(dset):
dset.set_always_mask(False)
if group is None:
grp = dset
Expand Down Expand Up @@ -1330,7 +1329,7 @@ def AnalysisMeanStateSites(ref, com, **keywords):
]
if len(val) > 0:
mask.append(ILAMBregions.getMask(region, bias))
values.append((~mask[-1]) * float(val))
values.append((~mask[-1]) * float(val.iloc[0]))
bias_score_map = deepcopy(bias)
bias_score_map.data = np.ma.masked_array(
np.array(values).sum(axis=0), mask=np.array(mask).all(axis=0)
Expand Down Expand Up @@ -1380,7 +1379,7 @@ def AnalysisMeanStateSites(ref, com, **keywords):
]
if len(val) > 0:
mask.append(ILAMBregions.getMask(region, crmse))
values.append((~mask[-1]) * float(val))
values.append((~mask[-1]) * float(val.iloc[0]))
rmse_score_map = deepcopy(crmse)
rmse_score_map.data = np.ma.masked_array(
np.array(values).sum(axis=0), mask=np.array(mask).all(axis=0)
Expand Down Expand Up @@ -2045,7 +2044,7 @@ def AnalysisMeanStateSpace(ref, com, **keywords):
]
if len(val) > 0:
mask.append(ILAMBregions.getMask(region, bias))
values.append((~mask[-1]) * float(val))
values.append((~mask[-1]) * float(val.iloc[0]))
bias_score_map = deepcopy(bias)
bias_score_map.data = np.ma.masked_array(
np.array(values).sum(axis=0), mask=np.array(mask).all(axis=0)
Expand Down Expand Up @@ -2207,7 +2206,7 @@ def AnalysisMeanStateSpace(ref, com, **keywords):
]
if len(val) > 0:
mask.append(ILAMBregions.getMask(region, crmse))
values.append((~mask[-1]) * float(val))
values.append((~mask[-1]) * float(val.iloc[0]))
rmse_score_map = deepcopy(crmse)
rmse_score_map.data = np.ma.masked_array(
np.array(values).sum(axis=0), mask=np.array(mask).all(axis=0)
Expand Down