issues: 1943355490
This data as json
id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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1943355490 | I_kwDOAMm_X85z1UBi | 8308 | Different plotting reaults compared to matplotlib | 30388627 | closed | 0 | 4 | 2023-10-14T15:54:32Z | 2023-10-14T20:02:16Z | 2023-10-14T20:02:16Z | NONE | What happened?I got different results when I tried to plot 2D data test.npy.zip using matplotlib and xarray. matplotlibxarrayWhat did you expect to happen?Same plot. Minimal Complete Verifiable Example```Python import numpy as np import xarray as xr import matplotlib.pyplot as plt test = np.load('test.npy') plt.imshow(test, vmin=0, vmax=200) plt.colorbar() xr.DataArray(test).plot.imshow(vmin=0, vmax=200) ``` MVCE confirmation
Relevant log outputNo response Anything else we need to know?No response Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:41:52) [Clang 15.0.7 ]
python-bits: 64
OS: Darwin
OS-release: 22.3.0
machine: arm64
processor: arm
byteorder: little
LC_ALL: None
LANG: None
LOCALE: (None, 'UTF-8')
libhdf5: None
libnetcdf: None
xarray: 2023.9.0
pandas: 2.1.1
numpy: 1.26.0
scipy: None
netCDF4: None
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: None
nc_time_axis: None
PseudoNetCDF: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.8.0
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 68.2.2
pip: 23.2.1
conda: None
pytest: None
mypy: None
IPython: 8.16.1
sphinx: None
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completed | 13221727 | issue |