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1. Top results related to figure size matplotlib

   • Matplotlib subplots Figure size

     Top Answer

     Answered May 05, 2015 · 1 votes

     I think you almost had it. Try setting xlabel, ylabel, title, and legend on ax.

     fig, ax = plt.subplots(figsize=(3,2.25))ax.plot(df3['difference'],'r-',label="Observations")ax.plot(df4['difference'],'b-',label='MERRA')ax.set_xlim(0,205)ax.set_ylim(-60,60)ax.set_xlabel('Year')ax.set_ylabel('Snow Depth Departures(cm)')ax.set_title('Station '+str(stations[c])+' Snow Depth Correlations R='+str("%0.2f"%corr[0])+'')ax.autoscale(False)ax.set_xticks(np.arange(0,193,48))ax.set_xticklabels(['1979','1983','1987','1991','1995'])ax.legend(loc='best')

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     1/5

   • figure size does not respond to my figsize setting in plt.figure() with matplotlib in my jupyter notebook

     Top Answer

     Answered Feb 15, 2018 · 2 votes

     You are creating two figures. The one has the size set to (10,5), the other is the one that you plot to. Remove the line fig = plt.figure(figsize=(10,5)) and add figsize=(10,5) to the figure you want to show.

     fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(10,5))-

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     2/5

   • 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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     3/5

   • 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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     4/5

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