issue_comments: 386922376
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/pull/2107#issuecomment-386922376 | https://api.github.com/repos/pydata/xarray/issues/2107 | 386922376 | MDEyOklzc3VlQ29tbWVudDM4NjkyMjM3Ng== | 6164157 | 2018-05-06T22:40:43Z | 2018-05-07T20:31:19Z | CONTRIBUTOR | Example code to demonstrate functionality: ```python import xarray as xr import numpy as np import pandas as pd np.random.seed(0) tm = pd.date_range('2000-01-01', end='2000-01-02', freq='H') d4 = xr.DataArray(np.random.randn(len(tm), 6, 3, 3), dims=['time', 'x', 'text_dim', 'z'], coords=[tm, range(6), ['foo', 'bar', 'foobar'], [3.5, 4.9, 6.7]], name='arr_name') d3 = d4[..., 0].drop('z') d2 = d3[..., 0].drop('text_dim') generate a faceted 4-dimensional plot:d4.plot(hue='text_dim', col='x', row='z') or equivalently:d4.plot.line(x='time', col='x', row='z')````
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