matplotlib库的Axes模块中的Axes.twinx()函数用于创建与x轴共享的双Axes。 语法:Axes.twinx(self) 参数:该方法不接受任何参数。 返回值:该方法用于返回以下内容。 ax_twin:返回新创建的Axes实例。 下面的例子演示了matplotlib.axes.axes.twinx()函数在matplotlib.axes中的作用: 示例1 # Implementation of matplotlib ...
The easiest way to create a new figure is with pyplot: fig = plt.figure() # an empty figure with no Axes fig, ax = plt.subplots() # a figure with a single Axes fig, axs = plt.subplots(2, 2) # a figure with a 2x2 grid of Axes It's convenient to create the axes together ...
ax=axisartist.Subplot(fig,111)# 将绘图区对象添加到画布中 fig.add_axes(ax)## 引入 axisartist 会再次造成乱码,可以通过annotate解决 plt.annotate('X轴',xy=(max(num_x),0),xycoords='data',xytext=(0,5),textcoords='offset points',fontsize=16,fontproperties='SimHei')plt.annotate('Y轴',xy=...
Set y-label using ‘ax.set_ylabel()’ # lets add axes using add_axes() method# create a sample datay =x1 =x2 =# create the figurefig = plt.figure()# add the axesax = fig.add_axes()l1 = ax.plot(x1,y,'ys-')l2 = ax.plot(x2,y,'go--')# add additional parametersax.leg...
x = np.linspace(0, 2, 100)fig, ax = plt.subplots() # Create a figure and an axes.l1 = ax.plot(x, x, label="linear")l2 = ax.plot(x, x ** 2, label="quadratic")l3 = ax.plot(x, x ** 3, label="cubic")ax.set_title("Simple Plot")plt.show()这很简单，只需在axes...
# create a figure fig=plt.figure()# add axes ax1=fig.add_subplot(2,2,1)ax2=fig.add_subplot(2,2,2)ax3=fig.add_subplot(2,2,3) 在上面的代码片段中,我们定义了一个图形,总共最多包含 4 个图。我们正在选择四个子图中的三个。 一个简单的方法是使用“plt.subplots”函数创建一个带轴的图形。
fig, ax = plt.subplots # Create a figure and an axes. l1 = ax.plot(x, x, label="linear") l2 = ax.plot(x, x ** 2, label="quadratic") l3 = ax.plot(x, x ** 3, label="cubic") ax.set_title("Simple Plot") plt.show ...
mpl.rcParams["axes.unicode_minus"]=False fig, ax1 = plt.subplots()t = np.arange(0.05,10.0,0.01)s1 = np.exp(t)ax1.plot(t,s1,c="b",ls="-")# set x-axis label ax1.set_xlabel("x坐标轴")# Make the y-axis label, ticks and tick labels match the line color.ax1.set_...
Create a new Axes instance with an invisible x-axis and an independent y-axis positioned opposite to the original one (i.e. at right). The x-axis autoscale setting will be inherited from the original Axes. 大意就是使用这个函数,在原来的坐标系中新建一个共享x轴的双胞胎坐标系,类似的还有twi...
# Create some normally distributed data mean = [0, 0] cov = [[1, 1], [1, 2]] x, y = np.random.multivariate_normal(mean, cov, 3000).T # Set up the axes with gridspec fig = plt.figure(figsize=(6, 6)) grid = plt.GridSpec(4, 4, hspace=0.2, wspace=0.2) main_ax = fig...