plt.ylim() # y轴坐标范围 from matplotlib.font_manager import FontProperties font_set = FontProperties(fname=r"c:\windows\fonts\simsun.ttc", size=12) n1, = plt.plot([1,3,5,7,9],[0,4,2,8,6], label = ‘number2图例标题1’) n2,= plt.plot([1,3,5,7,9],[4,2,8,6,10], ...
x=np.linspace(0,10,100)y=np.exp(x)fig,(ax1,ax2)=plt.subplots(1,2,figsize=(15,6))ax1.plot(x,y,label='y = e^x')ax1.set_title('X-axis grid only - how2matplotlib.com')ax1.set_xlabel('X-axis')ax1.set_ylabel('Y-axis')ax1.grid(True,axis='x')ax1.legend()ax2.plot(...
plt.subplot(343)# 因为设置了网格线,所以grid(None)切换为不显示网格线plt.plot([1,1]) plt.grid(True) plt.grid(None) plt.annotate('grid(None)', (0,1)) plt.subplot(344)# 因为默认没有网格线plt.plot([1,1]) plt.annotate("default", (0,1)) plt.subplot(345)# 只显示主刻度网格线plt....
With Pyplot, you can use thegrid()function to add grid lines to the plot. ExampleGet your own Python Server Add grid lines to the plot: importnumpyasnp importmatplotlib.pyplotasplt x = np.array([80,85,90,95,100,105,110,115,120,125]) ...
在Matplotlib 中,我们使用 plt.boxplot(x, labels=None) 函数,其中参数 x 代表要绘制箱线图的数据,labels 是缺省值,可以为箱线图添加标签。 在Seaborn 中,我们使用 sns.boxplot(x=None, y=None, data=None) 函数。其中参数 data 为 DataFrame 类型,x、y 是 data 中的变量。
1.今天仔细看了一下grid布局，这个妖孽属性，类似栅格布局。是flex布局的升级版本。
plt.plot(x, y1) # 绘制第二个子图 plt.subplot(212) plt.plot(x, y2) 输出结果: 从上面绘制的两个子图可以了解到figure 和 subplot 的基本用法了,要注意每条subplot命令只会创建一个子图 三、plt.subplots() 在Matplotlib 中 plt.subplots() 的用法和subplot() 相似,subplots 可以创建多个子图。前面说了...
importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,5,100)y=x**2fig,(ax1,ax2,ax3)=plt.subplots(3,1,figsize=(8,12))ax1.plot(x,y)ax1.set_title('Major Grid - how2matplotlib.com')ax1.grid(which='major')ax2.plot(x,y)ax2.set_title('Minor Grid - how2matplotlib.com')...
matplotlib-example-Test_plot_simultaneous.md matplotlib-example-Text%2520Preprocessing%2520in%2520Spam%2520Detection%2520-%2520Import%2520Libraries.md matplotlib-example-TwoVariableFunc.md matplotlib-example-Untitled.md matplotlib-example-Viz_1.md matplotlib-example-Viz_2.md matplotlib-exampl...
P.S. one last point, just in case you are not aware: typically, when running matplotlib outside of a notebook or lab, you can access the zoom tool in the user interface that allows you to zoom in on a specific portion of the plot. The zoom tool can also be accessed within a note...