How to add title to subplots in Matplotlib?

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I have one figure which contains many subplots.

fig = plt.figure(num=None, figsize=(26, 12), dpi=80, facecolor='w', edgecolor='k')
fig.canvas.set_window_title('Window Title')

# Returns the Axes instance
ax = fig.add_subplot(311) 
ax2 = fig.add_subplot(312) 
ax3 = fig.add_subplot(313) 

How do I add titles to the subplots?

fig.suptitle adds a title to all graphs and although ax.set_title() exists, the latter does not add any title to my subplots.

Thank you for your help.

Edit: Corrected typo about set_title(). Thanks Rutger Kassies

ax.title.set_text('My Plot Title') seems to work too.

fig = plt.figure()
ax1 = fig.add_subplot(221)
ax2 = fig.add_subplot(222)
ax3 = fig.add_subplot(223)
ax4 = fig.add_subplot(224)
ax1.title.set_text('First Plot')
ax2.title.set_text('Second Plot')
ax3.title.set_text('Third Plot')
ax4.title.set_text('Fourth Plot')

How to set a single, main title above all the subplots with Pyplot , Use pyplot.suptitle or Figure.suptitle : import matplotlib.pyplot as plt import numpy as np fig=plt.figure() data=np.arange(900).reshape((30,30))  Create a figure with separate subplot titles and a centered figure title. import matplotlib.pyplot as plt import numpy as np def f (t): s1 = np. cos (2 * np. pi * t)

ax.set_title() should set the titles for separate subplots:

import matplotlib.pyplot as plt

if __name__ == "__main__":
    data = [1, 2, 3, 4, 5]

    fig = plt.figure()
    fig.suptitle("Title for whole figure", fontsize=16)
    ax = plt.subplot("211")
    ax.set_title("Title for first plot")

    ax = plt.subplot("212")
    ax.set_title("Title for second plot")

Can you check if this code works for you? Maybe something overwrites them later?

Figure Title, Create a figure with separate subplot titles and a centered figure title. ../../_images​/sphx_glr_figure_title_001.png. import matplotlib.pyplot as plt  This solution is entirely based on this post, except that more attention has been paid to actually removing the background subplot. import matplotlib.pyplot as plt fig, big_axes = plt.subplots( figsize=(15.0, 15.0) , nrows=3, ncols=1, sharey=True) for row, big_ax in enumerate(big_axes, start=1): big_ax.set_title("Subplot row %s " % row, fontsize=16) # Turn off axis lines and ticks of the big subplot # obs alpha is 0 in RGBA string!

A shorthand answer assuming import matplotlib.pyplot as plt:


as in:


Then there is no need for superfluous variables.

Matplotlib - Subplots() Function, grid. The function returns a figure object and a tuple containing axes objects equal to nrows*ncols. Each axes object is accessible by its index. When using fig.tight_layout() the title must be shifted with fig.subplots_adjust(top=0.88) See answer below about fontsizes Example code taken from subplots demo in matplotlib docs and adjusted with a master title.

If you want to make it shorter, you could write :

import matplolib.pyplot as plt
for i in range(4):
    plt.subplot(2,2,i+1).set_title('Subplot n°{}' .format(i+1))

It makes it maybe less clear but you don't need more lines or variables

matplotlib.pyplot.title, are positioned above the axes in the center, flush with the left edge, and flush with the right edge. Is there an automatic way to add pure labels to the subplots? To be specific, I used . ax1 = fig.add_subplot(121) ax2 = fig.add_subplot(122) and I would like to add 'A' and 'B' to the upper right in the subplots to distinguish them, and right now I am using a dummy way something like

In case you have multiple images and you want to loop though them and show them 1 by 1 along with titles - this is what you can do. No need to explicitly define ax1, ax2, etc.

  1. The catch is you can define dynamic axes(ax) as in Line 1 of code and you can set its title inside a loop.
  2. The rows of 2D array is length (len) of axis(ax)
  3. Each row has 2 items i.e. It is list within a list (Point No.2)
  4. set_title can be used to set title, once the proper axes(ax) or subplot is selected.
import matplotlib.pyplot as plt    
fig, ax = plt.subplots(2, 2, figsize=(6, 8))  
for i in range(len(ax)): 
    for j in range(len(ax[i])):
        ## ax[i,j].imshow(test_images_gr[0].reshape(28,28))
        ax[i,j].set_title('Title-' + str(i) + str(j))

How to set a single main title for all the subplots in Matplotlib, Which parameter is used to set a main title for a figure with multiple plots in Matplotlib? To this graph, you can add a title, which by default gets centered above the graph. A title can be added to a graph with the set_title () function. Inside of this set_title () function, you specify the name of the title that you want. In the following code shown below, we create the title, "Time vs. Time Squared Graph Plot"

Style Plots using Matplotlib, Create a figure with separate subplot titles and a centered figure title. This is a somewhat long figure title, subplot 1, subplot 2. import matplotlib.pyplot as plt  For more advanced use cases you can use GridSpec for a more general subplot layout or Figure.add_subplot for adding subplots at arbitrary locations within the figure. # sphinx_gallery_thumbnail_number = 11 import matplotlib.pyplot as plt import numpy as np # Some example data to display x = np . linspace ( 0 , 2 * np . pi , 400 ) y = np . sin

Figure Title, set_text() to set title to subplots in Matplotlib. If you use Matlab-like style in the interactive plotting, then you could use plt. gca() to get the reference of the current axes of the subplot and combine set_title() or title. set_text() method to set title to the subplots in Matplotlib. import matplotlib.pyplot as plt fig2 = plt.figure() ax3 = fig2.add_subplot(2,1,1) ax4 = fig2.add_subplot(2,1,2) ax4.loglog(x1, y1) ax3.loglog(x2, y2) ax3.set_ylabel('hello') I want to be able to create axes labels and titles not just for each of the two subplots, but also common labels that span both subplots.

How to add title to subplots in Matplotlib, set_text(label) methods to add titles to individual subplots in Matplotlib. However, to add a main title common to all the subplots we use pyplot. The legend needs to know what it should show. By default it will take the labeled artist from the axes it is created in. Since here the axes ax_sub is empty, the legend will be empty as well.

  • For anyone having problems with the font size for a histogram, oddly enough reducing the number of bins let me increase it. Went from 500 to 100.
  • This works for me, matplotlib version 1.2.2 python 2.7.5