x=np.linspace(0,10,100)y=np.log(x)plt.figure(figsize=(10,6))plt.plot(x,y,label='log(x)')plt.title('Customizing grid line width - how2matplotlib.com')plt.xlabel('X axis')plt.ylabel('Y axis')plt.legend()# 设置较粗的网格线plt.grid(linewidth=2)plt.show() Python Copy Output: ...
8))plt.plot(x,y1,marker='o',markersize=8,label='Sine wave from how2matplotlib.com')plt.plot(x,y2,marker='s',markersize=12,label='Cosine wave from how2matplotlib.com')plt.title('Line Plot with Different Marker Sizes')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.grid(...
line, = ax.plot([1, 2, 3], label='Inline label') ax.legend() or:: line, = ax.plot([1, 2, 3]) line.set_label('Label via method') ax.legend() Specific lines can be excluded from the automatic legend element selection by defining a label starting with an underscore. This is ...
#设置刻度标记样式大小(其中指定的实参将影响x轴与y轴上的刻度(axis='both'),并将刻度标记的字号设置成14.) plt.tick_params(axis='both',labelsize=14) plt.show() 3.校正数据 图形更容易阅读后,我们发现没有正确的绘制数据:折线图的终点指出4.0的平方为25! 当你想plot()提供一系列数字时,他假设第一个...
用matplotlib作图的时候plot.show()时plot中的label为何显示不出来,程序员大本营,技术文章内容聚合第一站。
plt.xlabel(r'$x$', labelpad=6) plt.savefig('test2.png') 另外,请注意我将您的\textit{y}更改为$y$。通常你实际上想要数学字体而不是斜体。 第二种方法 如果您不想将颜色作为参数发送,您可以重置颜色循环并执行两次循环。在这里,我在第一个循环之前重置它,然后在第二个循环之前再次重置它,以确保它是...
函数功能:展现变量的趋势变化。 调用签名:plt.plot(x, y, ls="-", lw=2,label=“plotfigure”) x: x轴上的数值 y: y轴上的数值 ls:折线图的线条风格 lw:折线图的线条宽度label:标记图内容的标签文本matplotlib.pyplotpylab Python 数据可视化——Matplotlib ...
(x)# loc is used to set the location of the legend on the plot# label is used to represent the label for the line in the legend# generate the random numberx= np.arange(0,1500,100)plt.plot(np.sin(x),label='sin function x')plt.plot(np.cos(x),label='cos functon x')plt....
The legend() function in Matplotlib allows you to create a legend for your plot. By default, the legend will display the label of each data series. However, you can customize the legend to display additional information or to change the appearance of the legend. For example, let's say we...
ls=line_styles.next()iflen(y)==1: col = y[0] cols.append(col) color = colors.next() lines.append(ax.plot(d[col],linestyle =ls,label = col,color=color)) ax.set_ylabel(col,color=color)#ax.tick_params(axis='y', colors=color)ax.spines['right'].set_color(color)else:forcoliny...