issues: 818944970
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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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818944970 | MDU6SXNzdWU4MTg5NDQ5NzA= | 4975 | scatter plot with row or col gets hue wrong | 5637662 | closed | 0 | 3 | 2021-03-01T14:54:57Z | 2023-03-13T19:47:51Z | 2023-03-13T19:47:51Z | CONTRIBUTOR | What happened: The colorbar/hue is only for the last subplot, the colorbar for the other figures is ignored. What you expected to happen: hue/colorbar is correct - the total min/max values are calculated and used instead. Minimal Complete Verifiable Example: ```python import xarray as xr import numpy as np ds=xr.Dataset() ds["a"]=("x","y"), np.arange(4).reshape(2,2) ds.plot.scatter("a","a",row="x", hue="a") import matplotlib.pyplot as plt plt.show() ``` Anything else we need to know?: replacing col for row yields same wrong result I verified this is in master (5735e163bea43ec9bc3c2e640fbf25a1d4a9d0c0) and 0.16.2 Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.9.1 (default, Jan 20 2021, 00:00:00) [GCC 10.2.1 20201125 (Red Hat 10.2.1-9)] python-bits: 64 OS: Linux OS-release: 4.12.14-122.57-default machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.3 xarray: 0.16.2 pandas: 1.0.5 numpy: 1.19.4 scipy: 1.5.2 netCDF4: 1.5.3 pydap: None h5netcdf: None h5py: 3.1.0 Nio: None zarr: None cftime: 1.1.3 nc_time_axis: 1.2.0 PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.2.1 dask: 2021.01.1 distributed: None matplotlib: 3.3.4 cartopy: None seaborn: None numbagg: None pint: None setuptools: 49.1.3 pip: 20.2.2 conda: None pytest: None IPython: 7.18.1 sphinx: 3.2.1 |
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completed | 13221727 | issue |