issues: 1265344088
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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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| 1265344088 | I_kwDOAMm_X85La55Y | 6677 | inconsistency between resample and plotting | 15239248 | open | 0 | 0 | 2022-06-08T21:41:03Z | 2022-06-08T21:41:03Z | NONE | What is your issue?I believe there is an inconsistency between using the resample function (left labeled) and the plotting function (center labeled). Maybe the example below help illustrating the issue: ```python d = [ [1,0,0,0,0,0,1,0,0,0,0,0], [0,0,1,1,0,0,0,1,1,1,1,0], [0,0,0,0,0,0,0,0,0,0,1,0], ] t = pd.date_range('2000-01-01 00:05','2000-01-01 00:17',freq='1t',closed='left') da = xr.DataArray(d,dims=['i','t'],coords={'t':t}) f,axs = plt.subplots(4,sharex=True,constrained_layout=True) def plot(da,ax_): return da_.plot(ax=ax_,add_colorbar=False,vmin=0,vmax=1.001,levels=11) for ax,tt in zip(axs[1:],['2t','3t','4t']): da_ = da.resample({'t':tt}).mean() gr = plot(da,ax) ax.set_title(f'resample: {tt}') _plot(da,axs[0]) axs[0].set_title('orginal') for ax in axs: ax.grid() ax.set_xticks(t) ax.set_xticklabels(t.strftime('%M')) ax.set_xlim(pd.to_datetime('2000-01-01 00:00'),pd.to_datetime('2000-01-01 00:20')) f.colorbar(gr,ax=axs) ```
In the example above, the most relevant problem is the high value at min 11 in panel 1 that after resampling to 4 minutes in panel 4 gets shifted and displayed between minutes 6 and 10. I know that i can shift the results from resample with the parameter loffset (='30s' ). but this that not help since now the high value in panel 1 (min 11) is also shifted to minutes 6-10 in panel 4 ```python d = [ [1,0,0,0,0,0,1,0,0,0,0,0], [0,0,1,1,0,0,0,1,1,1,1,0], [0,0,0,0,0,0,0,0,0,0,1,0], ] t = pd.date_range('2000-01-01 00:05','2000-01-01 00:17',freq='1t',closed='left') da = xr.DataArray(d,dims=['i','t'],coords={'t':t}) f,axs = plt.subplots(4,sharex=True,constrained_layout=True) def plot(da,ax_): return da_.plot(ax=ax_,add_colorbar=False,vmin=0,vmax=1.001,levels=11) for ax,tt in zip(axs[1:],['2t','3t','4t']): da_ = da.resample({'t':tt},loffset='30s').mean() gr = plot(da,ax) ax.set_title(f'resample: {tt}') _plot(da,axs[0]) axs[0].set_title('orginal') for ax in axs: ax.grid() ax.set_xticks(t) ax.set_xticklabels(t.strftime('%M')) ax.set_xlim(pd.to_datetime('2000-01-01 00:00'),pd.to_datetime('2000-01-01 00:20')) f.colorbar(gr,ax=axs) ```
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13221727 | issue |
