3. 使用两个ax.legend()创建两个图例 要在同一图表上放置两个不同的图例,我们可以使用ax.legend()方法两次。以下是一个示例: importmatplotlib.pyplotaspltimportnumpyasnp# 创建数据x=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)y3=np.tan(x)y4=x**2# 创建图表fig,ax=plt.s...
We can also add a legend that is shared with all the subplots in the figure in matplotlib. We have to plot the figure by defining the axes and the figure using matplotlib.pyplot.subplots() function, and defining a global legend for the figure using figure.legend() with the following param...
fig,(ax1,ax2)=plt.subplots(2,1,figsize=(8,6),sharex=True)fig.suptitle('How2matplotlib.com: Shared X-axis')x=np.linspace(0,10,100)ax1.plot(x,np.sin(x))ax2.plot(x,np.cos(x))ax1.set_title('Sine Function')ax2.set_title('Cosine Function')ax2.set_xlabel('X-axis')plt.tigh...
https://stackoverflow.com/questions/20048352/how-to-adjust-the-size-of-matplotlib-legend-box 折线图plt.plot plt.plot(y)的横坐标是从0开始的数组下标。 plt.legend Matplotlib 放置legend(bbox_to_anchor) frameon: bool, default: rcParams["legend.frameon"] (default: True) Whether the legend should ...
'subplots', 'subplots_adjust', 'summer', 'suptitle', 'switch_backend', 'sys', 'table', 'text', 'thetagrids', 'tick_params', 'ticklabel_format', 'tight_layout', 'time', 'title', 'tricontour', 'tricontourf', 'tripcolor', 'triplot', 'twinx', 'twiny', 'uninstall_repl_displayhook...
fig2, avail = plt.subplots(figsize=(10,7), dpi=60, facecolor= '#e9eef0',) avail.tick_params(axis='y', labelsize=0)#Formatar a fonte yLabel avail.set_ylabel('FOLLOWING THE PRODUCTION', fontsize=20) avail.set_xlabel('TIME (minute)', fontsize=20) ...
[matplotlib.pyplot.subplots_adjust] [matplotlib.pyplot.subplots] 6.绘制多图表 如果需要同时绘制多幅图表,可以给figure()传递一个整数参数指定Figure对象的序号,如果序号所指定的Figure对象已经存在,将不创建新的对象,而只是让它成为当前的Figure对象。
(一)Figures and Subplots 在matlibplot里,plots属于Figure对象。你可以使用plt.figure函数创建一个新的图: In [8]: fig = plt.figure() 在ipython里,上面的代码会显示出一张空白的图。你可以使用add_subplot函数来增加图形: In [9]: ax1 = fig.add_subplot(2, 2, 1) ...
mplimport numpy as npx = np.linspace(0, 2, 100)fig, ax = plt.subplots()ax.plot(x, x, label='linear')ax.plot(x, x**2, label='quadratic')ax.plot(x, x**3, label='cubic')ax.set_xlabel('x label')ax.set_ylabel('y label')ax.set_title("Simple Plot")ax.legend()plt.show(...
Here we’ll create a 2×3 grid of subplots, where all axes in the same row share their y-axis scale, and all axes in the same column share their x-axis scale (Figure 4-63): In[6]: fig, ax = plt.subplots(2, 3, sharex='col', sharey='row') Figure 4-63. Shared x and ...