[Matplotlib-users] Adding a colorbar --- how?

2014-06-15 Thread Virgil Stokes
There are some rather nice and useful matplotlib examples for colormaps 
that are shown at:


http://nbviewer.ipython.org/github/dpsanders/matplotlib-examples/blob/master/colorline.ipynb

In*Example 1.  Sine wave colored by time (uses the defaults for 
colorline)*, how can one add a colorbar?


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Re: [Matplotlib-users] Adding a colorbar --- how?

2014-06-15 Thread Raymond Smith
Hi Virgil,

I did something very much like this recently by simply adding an axes to my
figure and using it to show a linspace of the data range off which the line
color was based. See
http://matplotlib.org/examples/color/colormaps_reference.html.

Best,
Ray


On Sun, Jun 15, 2014 at 6:17 PM, Virgil Stokes v...@it.uu.se wrote:

  There are some rather nice and useful matplotlib examples for colormaps
 that are shown at:


 http://nbviewer.ipython.org/github/dpsanders/matplotlib-examples/blob/master/colorline.ipynb

 In* Example 1.  Sine wave colored by time (uses the defaults for
 colorline)*, how can one add a colorbar?

 --V


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Re: [Matplotlib-users] Adding a colorbar --- how?

2014-06-15 Thread Eric Firing
On 2014/06/15, 12:17 PM, Virgil Stokes wrote:
 There are some rather nice and useful matplotlib examples for colormaps
 that are shown at:

 http://nbviewer.ipython.org/github/dpsanders/matplotlib-examples/blob/master/colorline.ipynb

 In*Example 1.  Sine wave colored by time (uses the defaults for
 colorline)*, how can one add a colorbar?

lc = colorline(x, y)
cbar = fig.colorbar(lc)

Eric




 --V


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Re: [Matplotlib-users] Adding a colorbar --- how?

2014-06-15 Thread Virgil Stokes

On 16-Jun-14 00:46, Raymond Smith wrote:

Hi Virgil,

I did something very much like this recently by simply adding an axes 
to my figure and using it to show a linspace of the data range off 
which the line color was based. See 
http://matplotlib.org/examples/color/colormaps_reference.html.


Best,
Ray


On Sun, Jun 15, 2014 at 6:17 PM, Virgil Stokes v...@it.uu.se 
mailto:v...@it.uu.se wrote:


There are some rather nice and useful matplotlib examples for
colormaps that are shown at:


http://nbviewer.ipython.org/github/dpsanders/matplotlib-examples/blob/master/colorline.ipynb

In*Example 1.  Sine wave colored by time (uses the defaults for
colorline)*, how can one add a colorbar?

--V


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Thanks for your response to my request, Ray. I had looked at this 
approach earlier; but, what I really need is something like is produced 
by the following code for the cax object:


Produce custom labelling for a colorbar.

 Original Script:  Scott Sinclair
Modification:  V. Stokes


import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors as col
from matplotlib   import cm
from numpy.random import randn

def register_cmap():

 Purpose: define colormap using the from_List() method as a
  segmented list and register it.

cmap_Name  = 'reyegr'# my colormap name
startcolor = '#00AF33'   # truegreen
midcolor   = '#FFE600'   # yolk (a medium dark yellow)
endcolor   = '#FF0033'   # bright red
cmap2 = col.LinearSegmentedColormap.from_list(cmap_Name,
[startcolor,midcolor,endcolor])
cm.register_cmap(cmap=cmap2)
return cm.get_cmap(cmap_Name)  # my new cmap for 'reylgr'

#-
my_cmap = register_cmap()

## Vertical colorbar-1
fig, ax = plt.subplots()

data = np.clip(randn(250, 250), -1, 1)

cax = ax.imshow(data, interpolation='nearest', cmap=my_cmap)
ax.set_title('Gaussian noise with vertical colorbar')
# Add colorbar, make sure to specify tick locations to match desired 
ticklabels

cbar = fig.colorbar(cax, ticks=[-1, 0, 1])
cbar.ax.set_yticklabels(['-1', '0', ' 1'])# vertically oriented colorbar

## Vertical colorbar-2
fig, ax = plt.subplots()

data = np.clip(randn(50, 50), -1, 1)

#cax = ax.imshow(data, interpolation='nearest', cmap=cm.coolwarm)
cax = ax.imshow(data, interpolation='nearest', cmap=my_cmap)
ax.set_title('Gaussian noise with vertical colorbar')

# Add colorbar, make sure to specify tick locations to match desired 
ticklabels

cbar = fig.colorbar(cax, ticks=[-1, 0, 1])
# Vertically oriented (by default) colorbar
cbar.ax.set_yticklabels(['Low', 'Medium', 'High'])

## Horizontal colorbar
fig, ax = plt.subplots()
#
cax = ax.imshow(data, interpolation='nearest', cmap=my_cmap)
ax.set_title('Gaussian noise with horizontal colorbar')

cbar = fig.colorbar(cax, ticks=[-1, 0, 1], orientation='horizontal')
cbar.ax.set_xticklabels(['Low', 'Medium', 'High'])# horizontal colorbar

plt.show()

But, for a colorline object, which was referenced in the link given in 
my earlier email.


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Re: [Matplotlib-users] Adding a colorbar --- how?

2014-06-15 Thread Virgil Stokes
On 16-Jun-14 01:12, Eric Firing wrote:
 On 2014/06/15, 12:17 PM, Virgil Stokes wrote:
 There are some rather nice and useful matplotlib examples for colormaps
 that are shown at:

 http://nbviewer.ipython.org/github/dpsanders/matplotlib-examples/blob/master/colorline.ipynb

 In*Example 1.  Sine wave colored by time (uses the defaults for
 colorline)*, how can one add a colorbar?
 lc = colorline(x, y)
 cbar = fig.colorbar(lc)

 Eric


This works fine --- thanks very much Eric.

Have a good day

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