[Matplotlib-users] Why are these plots different?

[Elan Ernest]

The first plot uses the `jet` colormap, the second one the `viridis` 
colormap. You can set the colormap via the `cmap` argument 
(contourf(..., cmap="jet"))

Note however, that we (more or less strongly) discourage the use of the 
jet colormap for heatmaps like this. This plot makes up a nice example 
for why: The jet colormap results in "features" being seen in the data, 
which aren't actually there.

For more, check

* the colormaps tutorial 
(https://matplotlib.org/3.1.1/tutorials/colors/colormaps.html),

* the API change note 
(https://matplotlib.org/users/dflt_style_changes.html?highlight=jet%20viridis#colormap),

* this stackoverflow question 
https://stats.stackexchange.com/questions/223315/why-use-colormap-viridis-over-jet 


Am 09.08.2019 um 16:54 schrieb Henry Ekene:
> Hello, Matplotlib Users,
>
> My challenge is that I saw this below image somewhere
> Screenshot from 2019-08-09 15-24-34.pngand i decided to reproduce it 
> using the same matplotlib codes but it turned out that my own image 
> appear different as can be seen below
> Screenshot from 2019-08-09 15-28-38.pngPlease why is mine different in 
> color, and what can I do to get the exact image as the other one? 
> Thanks for your help.
>
> Henry
>
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> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
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