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1. Top results related to python plot figure size matplotlib

   • matplotlib how to set plot size (with dpi), not figure size

     Top Answer

     Answered Apr 13, 2022 · 1 votes

     import matplotlib.pyplot as pltimport numpy as np--def axes_with_pixels(width, height, margin=0.2): px = 1/plt.rcParams['figure.dpi'] fig_width, fig_height = np.array([width, height]) / (1 - 2 * margin) fig, ax = plt.subplots(figsize=(fig_width*px, fig_height*px)) fig.subplots_adjust(left=margin, right=1-margin, bottom=margin, top=1-margin) return fig, axfig, ax = axes_with_pixels(580, 80) # Specify the Axes size in pixelsX = np.linspace(0, 10, 10)Y0 = np.sin(X)Y1 = np.cos(X)plt.plot(X, Y0, label='min')plt.plot(X, Y1, label='max')plt.legend()

     As you can see, the Axes (plot area) is exactly 580 * 80 pixels. (Note, the shown width of 581 pixels is due to the offset of the right edge.)

     However, axes_with_pixels can be only used to set a single Axes with a specified pixels. If you want a figure to have multiple Axes with some specified pixels, then you have to consider wspace and hspace in subplots_adjust to get the figure size.

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   • Matplotlib.figure.Figure.set_size_inches() in Python

     Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.

     matplotlib.figure.Figure.set_size_inches() method

     The set_size_inches() method figure module of matplotlib library is used to set the figure size in inches.

     Syntax: set_size_inches(self, w, h=None, forward=True)

     Parameters: This method accept the following parameters that are discussed below:

     • w, h : These parameters are the (width, height) of the figure in inches.

     Returns: This method does not returns any value.

     Below examples illustrate the matplotlib.figure.Figure.set_size_inches() function in matplotlib.figure:

     Example 1:

     # Implementation of matplotlib function  import matplotlib.pyplot as plt  from matplotlib.figure import Figure from mpl_toolkits.axisartist.axislines import Subplot  import numpy as np          fig = plt.figure()         ax = Subplot(fig, 111)  fig.add_subplot(ax)     fig.set_size_inches(4, 5)      fig.suptitle("""matplotlib.figure.Figure.set_size_inches() function Example\n\n""", fontweight ="bold")    plt.show()

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     Output:

     Example 2:

     Implementation of matplotlib function...

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     2/5

   • Matplotlib.figure.Figure.get_size_inches() in Python

     Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.

     matplotlib.figure.Figure.get_size_inches() method

     The get_size_inches() method figure module of matplotlib library is used to get the current size of the figure in inches.

     Syntax: get_size_inches(self)

     Parameters: This method does not accept any parameters.

     Returns: This method return size (width, height) of the figure in inches.

     Below examples illustrate the matplotlib.figure.Figure.get_size_inches() function in matplotlib.figure:

     Example 1:

     # Implementation of matplotlib function  import matplotlib.pyplot as plt  from matplotlib.figure import Figure from mpl_toolkits.axisartist.axislines import Subplot  import numpy as np       fig = plt.figure()        ax = Subplot(fig, 111)  fig.add_subplot(ax)     w = fig.get_size_inches() ax.text(0.2, 0.5,         "Value Return by get_size_inches() : "        + str(w),         fontweight ="bold")     fig.canvas.draw()   fig.suptitle('matplotlib.figure.Figure.get_size_inches()\  function Example', fontweight ="bold")    plt.show()

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     Output:

     Example 2:

     # Implementation of matplotlib function  import matplotlib.pyplot as plt  from matplotlib.figure import Figure import numpy as np         fig plt.figure edgecolor red...

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     3/5

   • Python - increase matplotlib figure size with dual x axis

     Top Answer

     Answered Mar 10, 2017 · 5 votes

     It's sure possible to create twin axes in a figure of any size. One just has to make sure to understand the code one's writing. I.e. don't create a new figure using figure and then complain that there is a second figure appearing.

     Sticking to the matplotlib state machine interface, a solution could look like this:

     import matplotlib.pyplot as pltimport numpy as np#get datax=np.arange(40)y=np.random.rand(len(x))*20000+30000y2=np.random.rand(len(x))*0.5#create a figureplt.figure(figsize=(10,10))#plot to first axesplt.plot(x,y,color='blue',label="label1")plt.ylim(0,50000)plt.ylabel('ylabel1')plt.xticks(rotation=90)#create twin axesax2=plt.gca().twinx()#plot to twin axesplt.plot(x,y2,color='purple',label='label2')plt.ylabel('ylabel2')plt.legend(loc='upper right')plt.show()

     Or, if you prefer the matplotlib API:

     import matplotlib.pyplot as pltimport numpy as np#get datax=np.arange(40)y=np.random.rand(len(x))*20000+30000y2=np.random.rand(len(x))*0.5#create a figurefig = plt.figure(figsize=(10,10))ax = fig.add_subplot(111)#plot to first axesax.plot(x,y,color='blue',label="label1")ax.set_ylim(0,50000)ax.set_ylabel('ylabel1')ax.set_xticklabels(ax.get_xticklabels(),rotation=90)#create twin axesax2=ax.twinx()#plot to twin axesax2.plot(x,y2,color='purple',label='label2')ax2.set_ylabel('ylabel2')h1, l1 = ax.get_legend_handles_labels()h2, l2 = ax2.get_legend_handles_labels()ax.legend(handles=h1+h2, labels=l1+l2, loc='upper right')plt.show()

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     4/5

   • Python boxplot matplotlib automatic figure size based on the number of categories

     Top Answer

     Answered Feb 18, 2019 · 4 votes

     Define the left and right margin in inches. Choose how large in inches you want one single category to display. Then the complete figure width is

     figwidth = leftmargin + rightmargin + (n+1)*categorysize-

     Then don't forget to adjust the subplot parameters depending on the figure size.

     import numpy as npimport matplotlib.pyplot as plt-number = 10data = np.random.rayleigh(scale=30, size=(20, number))leftmargin = 0.5 #inchesrightmargin = 0.3 #inchescategorysize = 0.1 # inchesn = data.shape[1]figwidth = leftmargin + rightmargin + (n+1)*categorysizefig, ax = plt.subplots(figsize=(figwidth, 4))fig.subplots_adjust(left=leftmargin/figwidth, right=1-rightmargin/figwidth, top=0.94, bottom=0.1)ax.boxplot(data, positions=np.arange(n))ax.set_xlim(-0.5,n-0.5)plt.show()

     For number=10:

     For number=42

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     5/5

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2. stackoverflow.com › questions › 332289How do I change the size of figures drawn with Matplotlib?

   stackoverflow.com › questions › 332289

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   Dec 1, 2008 · If you've already got the figure created, you can use figure.set_size_inches to adjust the figure size: fig = matplotlib.pyplot.gcf() fig.set_size_inches(18.5, 10.5) fig.savefig('test2png.png', dpi=100) To propagate the size change to an existing GUI window, add forward=True: fig.set_size_inches(18.5, 10.5, forward=True)

   Code sample

   from matplotlib.pyplot import figure

   figure(figsize=(8, 6), dpi=80)

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3. www.freecodecamp.org › news › matplotlib-figure-sizeMatplotlib Figure Size – How to Change Plot Size in Python ...

   www.freecodecamp.org › news › matplotlib-figure-size

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   Jan 12, 2023 · When creating plots using Matplotlib, you get a default figure size of 6.4 for the width and 4.8 for the height (in inches). In this article, you'll learn how to change the plot size using the following: * The figsize () attribute. * The set_figwidth () method.

4. www.geeksforgeeks.org › change-plot-size-inChange plot size in Matplotlib - Python - GeeksforGeeks

   www.geeksforgeeks.org › change-plot-size-in

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   Jan 10, 2024 · Change Plot Size in Matplotlib in Python. There are various ways we can use those steps to set size of plot in Matplotlib in Python: Using set_figheight () and set_figwidth () Using figsize. Changing the default rcParams. Change the Size of Figures using set_figheight () and set_figwidth ()

5. datagy.io › matplotlib-figure-sizeHow to Change Plot and Figure Size in Matplotlib • datagy

   datagy.io › matplotlib-figure-size

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   Jun 24, 2022 · In this tutorial, you learned how to change the figure size of a Matplotlib plot. You learned how to change the size of a plot using the figsize= parameter. Then, you learned how to use the figure object functions, set_figheight() and set_figwidth() functions to change the size of a Matplotlib plot.

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6. stackoverflow.com › questions › 17109608python - Change figure size and figure format in matplotlib ...

   stackoverflow.com › questions › 17109608

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   If you need to change the figure size after you have created it, use the methods fig = plt.figure() fig.set_figheight(value_height) fig.set_figwidth(value_width) where value_height and value_width are in inches.

   • You can set the figure size if you explicitly create the figure with plt.figure(figsize=(3,4)) You need to set figure size before calling plt.plo...
   • You can change the size of the plot by adding this before you create the figure. plt.rcParams["figure.figsize"] = [16,9]
   • The first part (setting the output size explictly) isn't too hard: import matplotlib.pyplot as plt list1 = [3,4,5,6,9,12] list2 = [8,12,14,15,17,20...
   • If you need to change the figure size after you have created it, use the methods fig = plt.figure() fig.set_figheight(value_height) fig.set_figwi...

7. www.pythoncharts.com › matplotlib › figure-sizePython Charts - Changing the Figure and Plot Size in Matplotlib

   www.pythoncharts.com › matplotlib › figure-size

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   If you want to change the figure size for all your plots, the best thing to do is update Matplotlib's rcParams. You can see a list of all rcParams settings in the Matplotlib documentation. Figure size is set in inches and the default is 6.4 (width) x 4.8 (height).

8. People also ask

   How do I change the plot size in Matplotlib?

   • When creating plots using Matplotlib, you get a default figure size of 6.4 for the width and 4.8 for the height (in inches). In this article, you'll learn how to change the plot size using the following: The figsize() attribute. The set_figwidth() method. The set_figheight() method. The rcParams parameter. Let's get started!

   Matplotlib Figure Size – How to Change Plot Size in Python with plt

   www.freecodecamp.org/news/matplotlib-figure-size-change-plot-size-in-python/

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   How to change the size of a plot in Python?

   • We can change the size of the plot above using the figsize() attribute of the figure() function. The figsize() attribute takes in two parameters — one for the width and the other for the height. Here's a code example: We've added one new line of code: plt.figure(figsize=(10,6)). This will modify/change the width and height of the plot.

   Matplotlib Figure Size – How to Change Plot Size in Python with plt

   www.freecodecamp.org/news/matplotlib-figure-size-change-plot-size-in-python/

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   How do I change the figure size for all my plots?

   • If you want to change the figure size for all your plots, the best thing to do is update Matplotlib's rcParams. You can see a list of all rcParams settings in the Matplotlib documentation. Figure size is set in inches and the default is 6.4 (width) x 4.8 (height). To update this, simply change the rcParams:

   Python Charts - Changing the Figure and Plot Size in Matplotlib

   www.pythoncharts.com/matplotlib/figure-size-matplotlib/

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   How do I change the height and width in Matplotlib?

   • Matplotlib also provides ways to more explicitly define the height and width individually, using the set_fightheight() and set_figwidth() functions. While the previous section showed you how to change the size in one argument, these functions give you the control to modify these parameters individually.

   How to Change Plot and Figure Size in Matplotlib • datagy

   datagy.io/matplotlib-figure-size/

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9. stackoverflow.com › questions › 1271023python - Resize a figure automatically in matplotlib - Stack ...

   stackoverflow.com › questions › 1271023

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   Aug 13, 2009 · Another way of doing this is using the matplotlib tight_layout function. import matplotlib.pyplot as plt fig,(ax) = plt.subplots(figsize=(8,4), ncols=1) data = [0,1,2,3,4] ax.plot(data) fig.tight_layout() fig.show()