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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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894753913 | MDExOlB1bGxSZXF1ZXN0NjQ3MDcwNjc0 | 5334 | Properly infer intervals of pcolormesh when plotting on logscale | santisoler 11541317 | closed | 0 | 6 | 2021-05-18T20:28:02Z | 2021-07-02T17:09:05Z | 2021-07-02T12:42:35Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/5334 | When inferring the interval breaks, the
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894669073 | MDU6SXNzdWU4OTQ2NjkwNzM= | 5333 | Unexpected behaviour of pcolormesh with logscale in x or y axes | santisoler 11541317 | closed | 0 | 1 | 2021-05-18T18:39:12Z | 2021-07-02T12:42:35Z | 2021-07-02T12:42:35Z | CONTRIBUTOR | What happened: When using What you expected to happen: I expect the Minimal Complete Verifiable Example: ```python import numpy as np import xarray as xr import matplotlib.pyplot as plt x = np.linspace(-3, 4, 15) y = np.logspace(-4, 3, 8) xx, yy = np.meshgrid(x, y) z = np.exp(-(xx ** 2) - np.log10(yy) ** 2) - np.exp( -((xx - 1) ** 2) - (np.log10(yy) - 1) ** 2 ) da = xr.DataArray( z, coords={"x": x, "y": y}, dims=("y", "x"), ) da.plot(yscale="log") plt.show() ``` Output: Anything else we need to know?: I pass ```python import numpy as np import xarray as xr import matplotlib.pyplot as plt x = np.linspace(-3, 4, 15) y = np.logspace(-4, 3, 8) xx, yy = np.meshgrid(x, y) z = np.exp(-(xx ** 2) - np.log10(yy) ** 2) - np.exp( -((xx - 1) ** 2) - (np.log10(yy) - 1) ** 2 ) da = xr.DataArray( z, coords={"x": x, "y": y}, dims=("y", "x"), ) da.plot(yscale="log", infer_intervals=False) plt.show() ``` The problem with deactivating the That's why I think that the inference of the breaks should also be done in log scales. Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: 49aa235fc63706dc145128dd13fdf139b9d5bc6e python: 3.9.4 | packaged by conda-forge | (default, May 10 2021, 22:13:33) [GCC 9.3.0] python-bits: 64 OS: Linux OS-release: 5.12.1-2-MANJARO machine: x86_64 processor: byteorder: little LC_ALL: None LANG: en_US.utf8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.18.1.dev33+g49aa235f pandas: 1.2.4 numpy: 1.20.1 scipy: 1.6.3 netCDF4: 1.5.6 pydap: installed h5netcdf: 0.11.0 h5py: 3.2.1 Nio: None zarr: 2.8.1 cftime: 1.4.1 nc_time_axis: 1.2.0 PseudoNetCDF: installed rasterio: 1.2.3 cfgrib: 0.9.9.0 iris: 2.4.0 bottleneck: 1.3.2 dask: 2021.05.0 distributed: 2021.05.0 matplotlib: 3.4.2 cartopy: 0.19.0.post1 seaborn: 0.11.1 numbagg: installed pint: 0.17 setuptools: 49.6.0.post20210108 pip: 21.1.1 conda: None pytest: 6.2.4 IPython: None sphinx: None |
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482335669 | MDU6SXNzdWU0ODIzMzU2Njk= | 3230 | Import error when calling open_rasterio | santisoler 11541317 | closed | 0 | 2 | 2019-08-19T14:10:57Z | 2019-08-20T12:54:34Z | 2019-08-20T12:54:34Z | CONTRIBUTOR | Problem DescriptionWhen using This error was caught by @ChetGoerzen and originally reported on https://github.com/fatiando/rockhound/issues/53.
Expected Output
Output of
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completed | xarray 13221727 | issue |
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