Change Plot Size in Matplotlib To change the plot/figure size of a Matplotlib plot is quite easy, you can use theplt.figsize()method which is an inbuilt method of the Matplotlib library. Consider the below-given syntax: Syntax matplotlib.pyplot.figure(figsize) ...
importmatplotlib.pyplotasplt# Set the figure sizeplt.figure(figsize=(10,5))# Plot the dataplt.plot([0,1,2,3,4],[0,1,4,9,16],'ro-',label='Sample Data')# Customize the appearance of the plotplt.title('Customized Plot')plt.xlabel('X-Axis Label')plt.ylabel('Y-Axis Label')plt...
ax.set_title('Personal Savings Rate vs Median Duration of Unemployment', fontsize=18) ax.set(ylim=[0, 30]) ax.legend(loc='best', fontsize=12) plt.xticks(x[::50], fontsize=10, horizontalalignment='center') plt.yticks(np.arange(2.5, 30.0, 2.5), fontsize=10) plt.xlim(-10, x[-...
The second value of the array will set the width of all the subplots lying in the second column and so on.Example 1# Import pyplot module import matplotlib.pyplot as plt # Defining subplots fig, ax = plt.subplots(1, 2, gridspec_kw={"width_ratios": [8, 3]}) # Preparing data x =...
Update: This is the call stack that leads to the changed figure size: File "/home/tim/git/matplotlib/lib/matplotlib/tests/test_backends_interactive.py", line 223, in _test_interactive_impl plt.show() File "/home/tim/git/matplotlib/lib/matplotlib/pyplot.py", line 612, in show ...
The default value of thefigsizeparameter is[6.4, 4.8]. SetrcParamsto Change Matplotlib Plot Size We can change the defaultfigure.figsizevalue stored in thematplotlib.rcParamsdictionary to change the figure size in Matplotlib. importnumpyasnpimportmatplotlib.pyplotasplt x=np.linspace(0,10,20)m=1c...
importmatplotlib.pyplotasplt importnumpyasnp x=np.linspace(-5,5,100) y=2*x+1 plt.plot(x,y,'-r',label='y=2x+1') plt.title('Graph of y=2x+1',fontsize=20) plt.xlabel('x') plt.ylabel('y') plt.legend(loc='upper left',fontsize=12) ...
Matplotlib/PyPlot don't currently support metric sizes, though, it's easy to write a helper function to convert between the two: def cm_to_inch(value): return value/2.54 And then adjust the size of the plot like this: plt.figure(figsize=(cm_to_inch(15),cm_to_inch(10))) This ...
import xarray as xr import matplotlib.pyplot as plt airtemps = xr.tutorial.open_dataset('air_temperature') air = airtemps.air - 273.15 air2d = air.isel(time=500) im = air2d.plot.pcolormesh(add_colorbar=False) cb = plt.colorbar(im, orientation="horizontal", pad=0.15) cb.set_label(...
Let's first create a simple plot that we'll want to change the size of fonts on: importmatplotlib.pyplotaspltimportnumpyasnp fig, ax = plt.subplots(figsize=(12,6)) x = np.arange(0,10,0.1) y = np.sin(x) z = np.cos(x) ax.plot(y, color='blue', label='Sine wave') ax.pl...