How to Adjust the Position of a Matplotlib Colorbar? Last Updated : 23 Nov, 2021 Comments Improve Suggest changes Like Article Like Report A colorbar is a bar that has various colors in it and is placed along the sides of the Matplotlib chart. It is the legend for colors shown in the chart. By default, the position of the Matplotlib color bar is on the right side. The position of the Matplotlib color bar can be changed according to our choice by using the functions from Matplotlib AxesGrid Toolkit. The placing of inset axes is similar to that of legend, the position is modified by providing location options concerning the parent box. Syntax: fig.colorbar(cm.ScalarMappable(norm=norm, cmap=cmap), ax=ax) AttributeDescriptioncaxAxes into which the colorbar will be drawn.axParent axes from which space for a new colorbar axes are stolen. If a list of axes is given they are resized to make room for colorbar axes.colorbarUse set_label to set the label to the colorbarpadrelative subplot gap or fraction of original axes between colorbar and new image axesLogNormConverting number arguments or color to RGBAfigsize2-tuple of floats. Figure Dimension(width, height) in inchesadd_subplotAdd an Axes to the figure as part of a subplot arrangementadd_axesPresent in figure module of matplotlib library used to add axes to figureimshowThe convention used in image processing: the origin is in the top left corner. pcolorCreating a pseudocolor plot with a non-regular rectangular grid.Installation of Matplotlib colorbarTo install the matplotlib colorbar directly execute the following command on Jupyter Notebook or Visual Studio Code to get the results, Matplotlib-colorbar package is installed in order to generate using the colorbar argument. Here, matplotlib.pyplot is used to create a colorbar in a simpler way. pip install matplotlib-colorbarInstallation of Matplotlib Colorbar Another way to create a colorbar using Matplotlib is by importing the matplotlib package and then creating the colorbar. Python3 # Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.colors import LogNorm # specify dimensions of colorbar using random module Z = np.random.rand(5, 20) fig, ax0 = plt.subplots() ax0.pcolor(Z) ax0.set_title('Matplotlib-colorbar') plt.show() Output: Example 1: Position of Matplotlib colorbar on Right Side Generating a matplotlib chart where the colorbar is positioned on the right side of the chart. Python3 # Import packages necessary to create colorbar import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import make_axes_locatable # make this example reproducible np.random.seed(2) #create chart fig, ax = plt.subplots() im = ax.imshow(np.random.rand(10,10)) ax.set_xlabel('x-axis label') #add color bar fig.colorbar(im) plt.show() Output: Example 2: Position of Matplotlib colorbar on Left Generating a Matplotlib chart where the colorbar is positioned on the left of the chart. Here, the axes locations are set manually and the colorbar is linked to the existing plot axis using the keyword 'location'. Location argument is used on color bars that reference multiple axes in a list, if you put your one axis in a list then the argument can be used here. Python3 #import matplotlib.pyplot to create chart import matplotlib.pyplot as plt import numpy as np #create subplot fig = plt.figure() ax = fig.add_subplot(111) axp = ax.imshow(np.random.randint(0, 10,( 10, 10))) ax.set_title('Colorbar on left') #adding colorbar and its position cb = plt.colorbar(axp ,ax = [ax], location = 'left') plt.show() Output: This is a simple way to generate a colorbar and ensure it is on its own axis. Then the position of colorbar is specified using 'cax' parameter where axes are given for the color bar to be drawn. Python3 import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import make_axes_locatable # make this example reproducible np.random.seed(1) # create chart fig = plt.figure() ax = fig.add_subplot(111) axp = ax.imshow(np.random.randint(0, 10, (10, 10))) ax.set_title('Colorbar on left') # Adding the colorbar cbaxes = fig.add_axes([0.1, 0.1, 0.03, 0.8]) # position for the colorbar cb = plt.colorbar(axp, cax = cbaxes) plt.show() Output: Example 3: Position of Matplotlib colorbar below the Chart To position, the Matplotlib Colorbar below the chart then execute the following command, Python3 import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import make_axes_locatable # make this reproducible np.random.seed(2) # create chart fig, ax = plt.subplots() im = ax.imshow(np.random.rand(10,10)) ax.set_xlabel('x-axis label') # add color bar below chart divider = make_axes_locatable(ax) cax = divider.new_vertical(size='5%', pad=0.6, pack_start = True) fig.add_axes(cax) fig.colorbar(im, cax = cax, orientation = 'horizontal') plt.show() Output: Pad argument creates padding between the x-axis of the chart and colorbar. Higher the value for the pad, the colorbar is away from the x-axis. To move colorbar relative to the subplot use the pad argument to fig.colorbar. Python3 # import matplotlib packages import matplotlib.pyplot as plt import numpy as np; np.random.seed(1) # create chart fig, ax = plt.subplots(figsize=(4,4)) im = ax.imshow(np.random.rand(11,16)) ax.set_xlabel("x label") # pad argument to set colorbar away from x-axis fig.colorbar(im, orientation="horizontal", pad = 0.4) plt.show() Output: Use the instance of make_axes_locatable to divide axes and create new axes which are aligned to the image plot. Pad argument will allow setting space between two axes: Python3 # import matplotlib packages import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import make_axes_locatable import numpy as np; np.random.seed(1) fig, ax = plt.subplots(figsize = (4,4)) im = ax.imshow(np.random.rand(11,16)) ax.set_xlabel("x label") # instance is used to divide axes divider = make_axes_locatable(ax) cax = divider.new_vertical(size = "5%", pad = 0.7, pack_start = True) fig.add_axes(cax) # creating colorbar fig.colorbar(im, cax = cax, orientation = "horizontal") plt.show() Output: Example 4: Position of Colorbar above Chart To position, the Matplotlib Colorbar below the chart then execute the following command, Python3 import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import make_axes_locatable # make this example reproducible np.random.seed(1) # create chart fig, ax = plt.subplots() im = ax.imshow(np.random.rand(15, 15)) ax.set_xlabel('x-axis label') ax.set_title('Colorbar above chart') # add color bar below chart divider = make_axes_locatable(ax) cax = divider.new_vertical(size = '5%', pad = 0.5) fig.add_axes(cax) fig.colorbar(im, cax = cax, orientation = 'horizontal') plt.show() Output: Comment More infoAdvertise with us S sindhu20 Follow Improve Article Tags : Python Python-matplotlib Practice Tags : python Similar Reads Python Tutorial - Learn Python Programming Language Python is one of the most popular programming languages. 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