[Matplotlib-users] plot 2 figures with same color scales

[Paul Hobson]

Hey Neal,

I modified your example a bit, is that what you want?

import numpy as np
import matplotlib.pyplot as plt

pts = np.random.uniform(0, 1, 100) + 1j * np.random.uniform(0, 1, 100)

values1 = np.random.uniform(0, 1, 100)
values2 = values1 * 0.1 + 0.2

global_max = np.max([values1.max(), values2.max()])
global_min = np.min([values1.min(), values2.min()])

fig, axes = plt.subplots(ncols=2)
for ax, value in zip(axes, [values1, values2]):
    blah = ax.scatter(pts.real, pts.imag, c=value, s=10,
                      vmin=global_min, vmax=global_max)
    cbar = fig.colorbar(blah, ax=ax)

fig.tight_layout()

On Thu, Mar 28, 2019 at 8:57 AM Neal Becker <ndbecker2 at gmail.com> wrote:

> I'm trying to make 2 scatter plots where the colors of each point
> corresponds to the value of a 1d array.
>
> I want to do this so that the colors used in the 2 plots are comparable.
> That is, in plot 1 a violet dot means the same value as on plot 2.
>
> I tried the following code.  Here values2 is clearly different than
> values1.
> But it appears that the plots are colored with the same colors.  And the
> colorbar scales are different.  What I want is to have the colorbar scales
> be the same, and the colors on the plot are different.
>
> So for example, if point #1 on plot 1 has a value of 0.4, and point #1 on
> plot 2 has a value of 0.5, the colors used to represent given values on
> the
> 2 plots are the same.  I believe that without colorbar, just using scatter
> with specific c=value, I do get this result.  But adding colorbar I think
> changes all the colors.
>
> Any suggestions?
>
>
> import numpy as np
> pts = np.random.uniform (0, 1, 100) + 1j*np.random.uniform(0, 1, 100)
> values1 = np.random.uniform(0, 1, 100)
> #values2 = np.random.uniform(0.2, 1, 100)
> values2 = values1 * 0.8 + 0.2
>
> import matplotlib.pyplot as plt
> for value in (values1, values2):
>     fig, ax = plt.subplots(subplot_kw={'aspect': 'equal'})
>     cmap=plt.get_cmap('plasma')
>     blah = ax.scatter (pts.real, pts.imag, c=value, s=10)
>     blah.set_array (value)
>     fig.colorbar (blah)
> plt.show()
>
>
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