How to create a cutomize colorbar uisng matplotlib
0
This is my sample code.Here i need to change the colorbar as draggable colorbar and add list colors to colorbar.i tried so many examples in google but i didn't get proper output.Can anyone please help me how to add more customized colors and colorbar work like a draggable.
Sample Code:
import matplotlib.pyplot as plt
import numpy as np
from scipy.ndimage import gaussian_filter
import pandas as pd
from matplotlib.ticker import FormatStrFormatter
import os
import matplotlib.colors
class DraggableColorbar(object):
def __init__(self, cbar, mappable):
self.cbar = cbar
self.mappable = mappable
self.press = None
self.cycle = sorted([i for i in dir(plt.cm) if hasattr(getattr(plt.cm,i),'N')])
self.index = self.cycle.index(cbar.get_cmap().name)
def connect(self):
"""connect to all the events we need"""
self.cidpress = self.cbar.patch.figure.canvas.mpl_connect(
'button_press_event', self.on_press)
self.cidrelease = self.cbar.patch.figure.canvas.mpl_connect(
'button_release_event', self.on_release)
self.cidmotion = self.cbar.patch.figure.canvas.mpl_connect(
'motion_notify_event', self.on_motion)
self.keypress = self.cbar.patch.figure.canvas.mpl_connect(
'key_press_event', self.key_press)
self.cidscroll = self.cbar.patch.figure.canvas.mpl_connect(
'scroll_event', self.scrolled)
def scrolled(self):
pass
def on_press(self, event):
"""on button press we will see if the mouse is over us and store some data"""
if event.inaxes != self.cbar.ax: return
self.press = event.x, event.y
def key_press(self, event):
if event.key=='down':
self.index += 1
elif event.key=='up':
self.index -= 1
if self.index<0:
self.index = len(self.cycle)
elif self.index>=len(self.cycle):
self.index = 0
cmap = self.cycle[self.index]
self.cbar.set_cmap(cmap)
self.cbar.draw_all()
self.mappable.set_cmap(cmap)
self.mappable.get_axes().set_title(cmap)
self.cbar.patch.figure.canvas.draw()
def on_motion(self, event):
'on motion we will move the rect if the mouse is over us'
if self.press is None: return
if event.inaxes != self.cbar.ax: return
xprev, yprev = self.press
dx = event.x - xprev
dy = event.y - yprev
self.press = event.x,event.y
scale = self.cbar.norm.vmax - self.cbar.norm.vmin
perc = 0.03
if event.button==1:
self.cbar.norm.vmin -= (perc*scale)*np.sign(dy)
self.cbar.norm.vmax -= (perc*scale)*np.sign(dy)
elif event.button==3:
self.cbar.norm.vmin -= (perc*scale)*np.sign(dy)
self.cbar.norm.vmax += (perc*scale)*np.sign(dy)
self.cbar.draw_all()
self.mappable.set_norm(self.cbar.norm)
self.cbar.patch.figure.canvas.draw()
def on_release(self, event):
"""on release we reset the press data"""
self.press = None
self.mappable.set_norm(self.cbar.norm)
self.cbar.patch.figure.canvas.draw()
def disconnect(self):
"""disconnect all the stored connection ids"""
self.cbar.patch.figure.canvas.mpl_disconnect(self.cidpress)
self.cbar.patch.figure.canvas.mpl_disconnect(self.cidrelease)
fileName = os.getcwd()
data = pd.read_csv(fileName+'/ps.csv', names = ['x','y','z','colour'])
var = data.y.unique()
var = sorted(var)
totalSquares = len(var)
data1 = data[data.y==var[1]]
plot = plt.tricontourf(data1.x,data1.z,data1.colour,100)
ax = plt.gca() # get the axis
ax.set_ylim(ax.get_ylim()[::-1]) # invert the axis
ax.xaxis.tick_top() # and move the X-Axis
ax.yaxis.tick_left()
ax.xaxis.set_major_formatter(FormatStrFormatter('%d m'))
ax.yaxis.set_major_formatter(FormatStrFormatter('%d m'))
cbar = plt.colorbar(format='%05.2f')
cbar = DraggableColorbar(cbar,plot)
cbar.connect()
plt.show()
this is sample colorbar picture
python-2.7 matplotlib colorbar
asked Nov 20 '18 at 10:05
raghavaraghava
697
add a comment |
0
This is my sample code.Here i need to change the colorbar as draggable colorbar and add list colors to colorbar.i tried so many examples in google but i didn't get proper output.Can anyone please help me how to add more customized colors and colorbar work like a draggable.
Sample Code:
import matplotlib.pyplot as plt
import numpy as np
from scipy.ndimage import gaussian_filter
import pandas as pd
from matplotlib.ticker import FormatStrFormatter
import os
import matplotlib.colors
class DraggableColorbar(object):
def __init__(self, cbar, mappable):
self.cbar = cbar
self.mappable = mappable
self.press = None
self.cycle = sorted([i for i in dir(plt.cm) if hasattr(getattr(plt.cm,i),'N')])
self.index = self.cycle.index(cbar.get_cmap().name)
def connect(self):
"""connect to all the events we need"""
self.cidpress = self.cbar.patch.figure.canvas.mpl_connect(
'button_press_event', self.on_press)
self.cidrelease = self.cbar.patch.figure.canvas.mpl_connect(
'button_release_event', self.on_release)
self.cidmotion = self.cbar.patch.figure.canvas.mpl_connect(
'motion_notify_event', self.on_motion)
self.keypress = self.cbar.patch.figure.canvas.mpl_connect(
'key_press_event', self.key_press)
self.cidscroll = self.cbar.patch.figure.canvas.mpl_connect(
'scroll_event', self.scrolled)
def scrolled(self):
pass
def on_press(self, event):
"""on button press we will see if the mouse is over us and store some data"""
if event.inaxes != self.cbar.ax: return
self.press = event.x, event.y
def key_press(self, event):
if event.key=='down':
self.index += 1
elif event.key=='up':
self.index -= 1
if self.index<0:
self.index = len(self.cycle)
elif self.index>=len(self.cycle):
self.index = 0
cmap = self.cycle[self.index]
self.cbar.set_cmap(cmap)
self.cbar.draw_all()
self.mappable.set_cmap(cmap)
self.mappable.get_axes().set_title(cmap)
self.cbar.patch.figure.canvas.draw()
def on_motion(self, event):
'on motion we will move the rect if the mouse is over us'
if self.press is None: return
if event.inaxes != self.cbar.ax: return
xprev, yprev = self.press
dx = event.x - xprev
dy = event.y - yprev
self.press = event.x,event.y
scale = self.cbar.norm.vmax - self.cbar.norm.vmin
perc = 0.03
if event.button==1:
self.cbar.norm.vmin -= (perc*scale)*np.sign(dy)
self.cbar.norm.vmax -= (perc*scale)*np.sign(dy)
elif event.button==3:
self.cbar.norm.vmin -= (perc*scale)*np.sign(dy)
self.cbar.norm.vmax += (perc*scale)*np.sign(dy)
self.cbar.draw_all()
self.mappable.set_norm(self.cbar.norm)
self.cbar.patch.figure.canvas.draw()
def on_release(self, event):
"""on release we reset the press data"""
self.press = None
self.mappable.set_norm(self.cbar.norm)
self.cbar.patch.figure.canvas.draw()
def disconnect(self):
"""disconnect all the stored connection ids"""
self.cbar.patch.figure.canvas.mpl_disconnect(self.cidpress)
self.cbar.patch.figure.canvas.mpl_disconnect(self.cidrelease)
fileName = os.getcwd()
data = pd.read_csv(fileName+'/ps.csv', names = ['x','y','z','colour'])
var = data.y.unique()
var = sorted(var)
totalSquares = len(var)
data1 = data[data.y==var[1]]
plot = plt.tricontourf(data1.x,data1.z,data1.colour,100)
ax = plt.gca() # get the axis
ax.set_ylim(ax.get_ylim()[::-1]) # invert the axis
ax.xaxis.tick_top() # and move the X-Axis
ax.yaxis.tick_left()
ax.xaxis.set_major_formatter(FormatStrFormatter('%d m'))
ax.yaxis.set_major_formatter(FormatStrFormatter('%d m'))
cbar = plt.colorbar(format='%05.2f')
cbar = DraggableColorbar(cbar,plot)
cbar.connect()
plt.show()
this is sample colorbar picture
python-2.7 matplotlib colorbar
asked Nov 20 '18 at 10:05
raghavaraghava
697
Questions about colorbar sliders seem to be en vogue lately. Yet, none of them has made it clear what the expected outcome is. Also see this comment.
– ImportanceOfBeingErnest
Nov 20 '18 at 14:04
add a comment |
0
0
0
This is my sample code.Here i need to change the colorbar as draggable colorbar and add list colors to colorbar.i tried so many examples in google but i didn't get proper output.Can anyone please help me how to add more customized colors and colorbar work like a draggable.
Sample Code:
import matplotlib.pyplot as plt
import numpy as np
from scipy.ndimage import gaussian_filter
import pandas as pd
from matplotlib.ticker import FormatStrFormatter
import os
import matplotlib.colors
class DraggableColorbar(object):
def __init__(self, cbar, mappable):
self.cbar = cbar
self.mappable = mappable
self.press = None
self.cycle = sorted([i for i in dir(plt.cm) if hasattr(getattr(plt.cm,i),'N')])
self.index = self.cycle.index(cbar.get_cmap().name)
def connect(self):
"""connect to all the events we need"""
self.cidpress = self.cbar.patch.figure.canvas.mpl_connect(
'button_press_event', self.on_press)
self.cidrelease = self.cbar.patch.figure.canvas.mpl_connect(
'button_release_event', self.on_release)
self.cidmotion = self.cbar.patch.figure.canvas.mpl_connect(
'motion_notify_event', self.on_motion)
self.keypress = self.cbar.patch.figure.canvas.mpl_connect(
'key_press_event', self.key_press)
self.cidscroll = self.cbar.patch.figure.canvas.mpl_connect(
'scroll_event', self.scrolled)
def scrolled(self):
pass
def on_press(self, event):
"""on button press we will see if the mouse is over us and store some data"""
if event.inaxes != self.cbar.ax: return
self.press = event.x, event.y
def key_press(self, event):
if event.key=='down':
self.index += 1
elif event.key=='up':
self.index -= 1
if self.index<0:
self.index = len(self.cycle)
elif self.index>=len(self.cycle):
self.index = 0
cmap = self.cycle[self.index]
self.cbar.set_cmap(cmap)
self.cbar.draw_all()
self.mappable.set_cmap(cmap)
self.mappable.get_axes().set_title(cmap)
self.cbar.patch.figure.canvas.draw()
def on_motion(self, event):
'on motion we will move the rect if the mouse is over us'
if self.press is None: return
if event.inaxes != self.cbar.ax: return
xprev, yprev = self.press
dx = event.x - xprev
dy = event.y - yprev
self.press = event.x,event.y
scale = self.cbar.norm.vmax - self.cbar.norm.vmin
perc = 0.03
if event.button==1:
self.cbar.norm.vmin -= (perc*scale)*np.sign(dy)
self.cbar.norm.vmax -= (perc*scale)*np.sign(dy)
elif event.button==3:
self.cbar.norm.vmin -= (perc*scale)*np.sign(dy)
self.cbar.norm.vmax += (perc*scale)*np.sign(dy)
self.cbar.draw_all()
self.mappable.set_norm(self.cbar.norm)
self.cbar.patch.figure.canvas.draw()
def on_release(self, event):
"""on release we reset the press data"""
self.press = None
self.mappable.set_norm(self.cbar.norm)
self.cbar.patch.figure.canvas.draw()
def disconnect(self):
"""disconnect all the stored connection ids"""
self.cbar.patch.figure.canvas.mpl_disconnect(self.cidpress)
self.cbar.patch.figure.canvas.mpl_disconnect(self.cidrelease)
fileName = os.getcwd()
data = pd.read_csv(fileName+'/ps.csv', names = ['x','y','z','colour'])
var = data.y.unique()
var = sorted(var)
totalSquares = len(var)
data1 = data[data.y==var[1]]
plot = plt.tricontourf(data1.x,data1.z,data1.colour,100)
ax = plt.gca() # get the axis
ax.set_ylim(ax.get_ylim()[::-1]) # invert the axis
ax.xaxis.tick_top() # and move the X-Axis
ax.yaxis.tick_left()
ax.xaxis.set_major_formatter(FormatStrFormatter('%d m'))
ax.yaxis.set_major_formatter(FormatStrFormatter('%d m'))
cbar = plt.colorbar(format='%05.2f')
cbar = DraggableColorbar(cbar,plot)
cbar.connect()
plt.show()
this is sample colorbar picture
python-2.7 matplotlib colorbar
asked Nov 20 '18 at 10:05
raghavaraghava
697
This is my sample code.Here i need to change the colorbar as draggable colorbar and add list colors to colorbar.i tried so many examples in google but i didn't get proper output.Can anyone please help me how to add more customized colors and colorbar work like a draggable.
Sample Code:
import matplotlib.pyplot as plt
import numpy as np
from scipy.ndimage import gaussian_filter
import pandas as pd
from matplotlib.ticker import FormatStrFormatter
import os
import matplotlib.colors
class DraggableColorbar(object):
def __init__(self, cbar, mappable):
self.cbar = cbar
self.mappable = mappable
self.press = None
self.cycle = sorted([i for i in dir(plt.cm) if hasattr(getattr(plt.cm,i),'N')])
self.index = self.cycle.index(cbar.get_cmap().name)
def connect(self):
"""connect to all the events we need"""
self.cidpress = self.cbar.patch.figure.canvas.mpl_connect(
'button_press_event', self.on_press)
self.cidrelease = self.cbar.patch.figure.canvas.mpl_connect(
'button_release_event', self.on_release)
self.cidmotion = self.cbar.patch.figure.canvas.mpl_connect(
'motion_notify_event', self.on_motion)
self.keypress = self.cbar.patch.figure.canvas.mpl_connect(
'key_press_event', self.key_press)
self.cidscroll = self.cbar.patch.figure.canvas.mpl_connect(
'scroll_event', self.scrolled)
def scrolled(self):
pass
def on_press(self, event):
"""on button press we will see if the mouse is over us and store some data"""
if event.inaxes != self.cbar.ax: return
self.press = event.x, event.y
def key_press(self, event):
if event.key=='down':
self.index += 1
elif event.key=='up':
self.index -= 1
if self.index<0:
self.index = len(self.cycle)
elif self.index>=len(self.cycle):
self.index = 0
cmap = self.cycle[self.index]
self.cbar.set_cmap(cmap)
self.cbar.draw_all()
self.mappable.set_cmap(cmap)
self.mappable.get_axes().set_title(cmap)
self.cbar.patch.figure.canvas.draw()
def on_motion(self, event):
'on motion we will move the rect if the mouse is over us'
if self.press is None: return
if event.inaxes != self.cbar.ax: return
xprev, yprev = self.press
dx = event.x - xprev
dy = event.y - yprev
self.press = event.x,event.y
scale = self.cbar.norm.vmax - self.cbar.norm.vmin
perc = 0.03
if event.button==1:
self.cbar.norm.vmin -= (perc*scale)*np.sign(dy)
self.cbar.norm.vmax -= (perc*scale)*np.sign(dy)
elif event.button==3:
self.cbar.norm.vmin -= (perc*scale)*np.sign(dy)
self.cbar.norm.vmax += (perc*scale)*np.sign(dy)
self.cbar.draw_all()
self.mappable.set_norm(self.cbar.norm)
self.cbar.patch.figure.canvas.draw()
def on_release(self, event):
"""on release we reset the press data"""
self.press = None
self.mappable.set_norm(self.cbar.norm)
self.cbar.patch.figure.canvas.draw()
def disconnect(self):
"""disconnect all the stored connection ids"""
self.cbar.patch.figure.canvas.mpl_disconnect(self.cidpress)
self.cbar.patch.figure.canvas.mpl_disconnect(self.cidrelease)
fileName = os.getcwd()
data = pd.read_csv(fileName+'/ps.csv', names = ['x','y','z','colour'])
var = data.y.unique()
var = sorted(var)
totalSquares = len(var)
data1 = data[data.y==var[1]]
plot = plt.tricontourf(data1.x,data1.z,data1.colour,100)
ax = plt.gca() # get the axis
ax.set_ylim(ax.get_ylim()[::-1]) # invert the axis
ax.xaxis.tick_top() # and move the X-Axis
ax.yaxis.tick_left()
ax.xaxis.set_major_formatter(FormatStrFormatter('%d m'))
ax.yaxis.set_major_formatter(FormatStrFormatter('%d m'))
cbar = plt.colorbar(format='%05.2f')
cbar = DraggableColorbar(cbar,plot)
cbar.connect()
plt.show()
this is sample colorbar picture
python-2.7 matplotlib colorbar
python-2.7 matplotlib colorbar
asked Nov 20 '18 at 10:05
raghavaraghava
697
asked Nov 20 '18 at 10:05
raghavaraghava
697
edited Nov 21 '18 at 11:27
raghava
asked Nov 20 '18 at 10:05
raghavaraghava
697
asked Nov 20 '18 at 10:05
raghavaraghava
697
asked Nov 20 '18 at 10:05
raghavaraghava
697
697
Questions about colorbar sliders seem to be en vogue lately. Yet, none of them has made it clear what the expected outcome is. Also see this comment.
– ImportanceOfBeingErnest
Nov 20 '18 at 14:04
add a comment |
Questions about colorbar sliders seem to be en vogue lately. Yet, none of them has made it clear what the expected outcome is. Also see this comment.
– ImportanceOfBeingErnest
Nov 20 '18 at 14:04
Questions about colorbar sliders seem to be en vogue lately. Yet, none of them has made it clear what the expected outcome is. Also see this comment.
– ImportanceOfBeingErnest
Nov 20 '18 at 14:04
Questions about colorbar sliders seem to be en vogue lately. Yet, none of them has made it clear what the expected outcome is. Also see this comment.
– ImportanceOfBeingErnest
Nov 20 '18 at 14:04
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53390557%2fhow-to-create-a-cutomize-colorbar-uisng-matplotlib%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
draft saved
draft discarded
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53390557%2fhow-to-create-a-cutomize-colorbar-uisng-matplotlib%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Questions about colorbar sliders seem to be en vogue lately. Yet, none of them has made it clear what the expected outcome is. Also see this comment.
– ImportanceOfBeingErnest
Nov 20 '18 at 14:04