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  • DancingQuanta · 1 ✖

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  • Dataset plot line · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
663157223 https://github.com/pydata/xarray/issues/4235#issuecomment-663157223 https://api.github.com/repos/pydata/xarray/issues/4235 MDEyOklzc3VlQ29tbWVudDY2MzE1NzIyMw== DancingQuanta 8419157 2020-07-23T18:15:33Z 2020-07-23T18:18:24Z NONE

To give a bit more context, an example code simulating an experimental measurement. ``` import numpy as np import xarray as xr from scipy.stats import norm from matplotlib import pyplot as plt

nominal x

x = xr.DataArray(np.arange(-10, 10, 0.1), dims='index', name='x')

Shift loc

loc = xr.DataArray(np.arange(-0.5, 1, 0.5), dims='loc', name='loc')

Number of experiments

exp = xr.DataArray(range(3), dims='exp', name='exp')

Add noise to x per experiment

noise = xr.DataArray(np.random.rand(len(x), len(loc)), coords={'loc': loc}, dims=['index', 'loc']) x = x + noise * 0.5

Measure

y = xr.apply_ufunc( norm.pdf, x, x['loc'], 1, input_core_dims=[['index'], [], []], output_core_dims=[['index']], vectorize=True )

Name

x.name = 'x' y.name = 'y'

Merge

data = xr.merge([x, y]) I wish to be able to use this

Plot y against x

data.plot.line(x='x', y='y', hue='loc') However, the closest I could get is with only `y` y.plot.line(x='index', hue='loc') ```

 
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   Dataset plot line 659142025

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