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  • xarray · 1 ✖
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
166449498 MDU6SXNzdWUxNjY0NDk0OTg= 908 Histogram plot of DataArray can be extremely slow maahn 222557 closed 0     3 2016-07-19T22:11:38Z 2016-10-22T00:58:11Z 2016-10-22T00:58:11Z NONE      

The speed of plotting a histogram of a large DataArray depends a lot how you do it:

``` import xarray as xr import numpy as np import matplotlib.pyplot as plt

nPoints = 100000 data = xr.DataArray(np.random.random(nPoints),dims=['time'],coords=[np.arange(nPoints)]) ```

It take sonly some ms if you use

``` plt.figure() %time data.plot.hist()

plt.figure() %time plt.hist(data.values) ```

However, if you omit .values it takes extremely long:

In [12]: %time plt.hist(data) CPU times: user 2min, sys: 9.73 s, total: 2min 9s Wall time: 2min 3s

Do if one forgets to add .values or to use xarray's plot routine, one can be stuck for a long time. I have to kill python 1-2 per day due to that issue.

 
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   completed xarray 13221727 issue

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