plt.figure() # create a plot figure x = np.linspace(0, 10, 100) # create the first of two panels and set current axis plt.subplot(2, 1, 1) # (rows, columns, panel number) plt.plot(x, np.sin(x)) # create the second panel and set current axis plt.subplot(2, 1, 2) plt....
# -*- coding: utf-8 -*-import matplotlib.pyplotasplt import numpyasnp# Plot a sinc functiondelta=2.0x=np.linspace(-10,10,100)y=np.sinc(x-delta)# Mark deltaplt.axvline(delta,ls="--",color="r")plt.annotate(r"$\delta$",xy=(delta+0.2,-0.2),color="r",size=15)plt.plot(x,y...
So far, we’ve been working with single figures, but there’ll be times when you’ll want to compare two plots side by side or bundle several charts into a summary display. For these occasions, Matplotlib provides the subplot() method. To see how this works, let’s begin by generating...
This can lead to unexpected behavior where interactive figures will look fine on the screen, but will save incorrectly. get_zorder(self) Return the artist's zorder. have_units(self) Return True if units are set on the x or y axes. is_transform_set(self)...
20 # The maximum number of figures to open through # the pyplot interface before emitting a warning. # If less than one this feature is disabled. #figure.raise_window : True # Raise the GUI window to front when show() is called. ## The figure subplot parameters. All dimensions ...
plt.plot(x,y2,color='red',linewidth=3.0,linestyle='--') 二、figure子图 # -*- coding:utf-8 -*- importmatplotlib.pyplotasplt importpandasaspd plt.rcParams['font.sans-serif']=['SimHei']# 用来正常显示中文标签 data=pd.read_csv("data/four platform.csv") ...
After this, we create figures and subplots by using thesubplots()method. Then we define data coordinates and plot a line between them, using theplt.plot()method. set_xlabel()andset_ylabel()methods are use to add labels at x-axis and y-axis respectively. ...
Matplotlib - Simple Plot Matplotlib - Saving Figures Matplotlib - Markers Matplotlib - Figures Matplotlib - Styles Matplotlib - Legends Matplotlib - Colors Matplotlib - Colormaps Matplotlib - Colormap Normalization Matplotlib - Choosing Colormaps Matplotlib - Colorbars Matplotlib - Working With Text Matpl...
# Create a bar plot plt.bar(['A', 'B', 'C', 'D'], height=[1, 2, 3, 4]) # Set the title plt.title(f'DPI={dpi}') # Save the figure plt.savefig(f'dpi_{dpi}.jpg') Here are these two images side by side in a pdf: ...
%matplotlibinlineimportmatplotlib.pyplotaspltimportnumpyasnpx=np.linspace(0,3*np.pi,500)plt.plot(x,np.sin(x**2))plt.title('A simple chirp'); License Licensed under the terms of the BSD 3-Clause License, by the IPython Development Team (seeLICENSEfile)....