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twin...
设置刻度的字体:使用plt.tick_params()函数并设置参数fontsize可以更改刻度标签的字体大小。例如,plt.tick_params(axis='both', fontsize=14)将使刻度标签的字体大小增加到14个点。 隐藏刻度线:使用plt.tick_params()函数并设置参数visible为False可以隐藏刻度线。例如,plt.tick_params(axis='both', visible=False...
How to Adjust Axis Label Position in Matplotlib How to Set Axis Ranges in Matplotlib How to Set X-Axis Values in Matplotlib
例如,我们可以将x轴的次要刻度间隔设置为0.5,代码如下: importmatplotlib.pyplotaspltimportnumpyasnpfrommatplotlib.tickerimportMultipleLocatorx=np.arange(1,6)y=np.random.randint(1,10,size=5)plt.plot(x,y)plt.gca().xaxis.set_minor_locator(MultipleLocator(0.5))plt.show() Python Copy Output: 9. 设...
ax.set_title('Two Lines Chart')ax.set_xlabel('X axis') 1. 2. 使用ax.set_ylabel()方法添加 y 轴标签: ax.set_ylabel('Y axis') 1. 使用ax.legend()方法显示图例: ax.legend() 1. 显示图表 最后,使用plt.show()显示图表: plt.show() ...
ax.xaxis.set_ticks_position('bottom')#设置坐标轴位置 ax.yaxis.set_ticks_position('left')#设置坐标轴位置 ax.spines['bottom'].set_position(('data',0))#绑定坐标轴位置,data为根据数据自己判断 ax.spines['left'].set_position(('data',0))plt.plot(x,y1,linestyle='--')plt.plot(x,y2)plt...
Axis:指坐标系中的垂直轴与水平轴,包含轴的长度大小(图中轴长为 7)、轴标签(指 x 轴,y轴)和刻度标签; Artist:画布上看到的所有元素都属于 Artist 对象,比如文本对象(title、xlabel、ylabel)、Line2D 对象(用于绘制2D图像)等。 Matplotlib功能扩展包
An Axes is an Artist attached to a Figure that contains a region for plotting data, and usually includes two (or three in the case of 3D) Axis objects (be aware of the difference between Axes and Axis) that provide ticks and tick labels to provide scales for the data in the Axes. Ea...
# subplots are used to create multiple plots in a single figure# let’s create a single subplot first following by adding more subplotsx = np.random.rand(50)y = np.sin(x*2)#need to create an empty figure with an axis as below, figure and axis are two separate objects in matplotlib...
xticks([1, 2, 3, 4],['One', 'Two', 'Three', 'Four']) plt.yticks([0, 10, 20], ['Zero', 'Ten', 'Twenty']) plt.tick_params(axis='both', which='both', direction='out', length=6, width=2, colors='red', rotation=45, labelsize=12) # 刻度的相关详细设置 # 设置标题 ...