However, the legend size is the default, which we would like to change. To alter the legend size, run the code below:sns.jointplot(df,x = "Age",y = "Weight", hue = "Sex") plt.legend(fontsize = "7") plt.show()As you will notice, we have significantly reduced the size of ...
# plt.legend(loc='upper right', ncol=2, fontsize=12) plt.show() 总结 第六部分【变化】(Change) 就到这里结束啦~ 传送门 Matplotlib可视化图表——第一部分【关联】(Correlation)Matplotlib可视化图表——第二部分【偏差】(Deviation)Matplotlib可视化图表——第三部分【排序】(Ranking)Matplotlib可视化图表——...
plt.plot(x, y2, label='Cos')# Add legendplt.legend(prop={'size':15})# Add titleplt.title("Prop Parameter To change Legend Size")# Add labelsplt.xlabel("X-axis") plt.ylabel("Y-axis")# Displayplt.show() Firstly, we import necessary libraries such asmatplotlib.pyplotandnumpy. To d...
x=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)plt.figure(figsize=(10,6))plt.plot(x,y1,label='Sin(x) - how2matplotlib.com')plt.plot(x,y2,label='Cos(x) - how2matplotlib.com')plt.title('Sin and Cos Functions')plt.xlabel('x')plt.ylabel('y')plt.legend()plt.show() Py...
title("Scatterplot of Midwest Area vs Population", fontsize=22) plt.legend(fontsize=12) plt.show() 图1 2 带边界的气泡图(Bubble plot with Encircling) 有时,您希望在边界内显示一组点以强调其重要性。 在这个例子中,你从数据框中获取记录,并用下面代码中描述的 encircle() 来使边界显示出来。
bb = leg.get_bbox_to_anchor().inverse_transformed(ax.transAxes) # Change to location of the legend. xOffset = 1.5 bb.x0 += xOffset bb.x1 += xOffset leg.set_bbox_to_anchor(bb, transform = ax.transAxes) # Update the plot plt.show()...
图例(legend) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 x = np.arange(1,11,1) fig = plt.figure() ax = fig.add_subplot(111) ax.plot(x,x*2,label='Normal') ax.plot(x,x*3,label='Fast') ax.plot(x,x*4,label='Faster') ax.plot(x,x*5,label='cool') ax.plot(x,x*...
"size":20, "weight":"semibold",#这个是半粗体 "family":"serif", "style":"italic" } plt.rcParams.update(fontparams) #首先设置x轴和y轴的数据 data_x=[i for i in range(-6,7)] data_y=[j*j for j in data_x] #改变图形大小为10:6,change the size of figure ...
# let’s create a figure object# change the size of the figure is ‘figsize = (a,b)’ a is width and ‘b’ is height in inches# create a figure object and name it as figfig = plt.figure(figsize=(4,3))# create a sample dataX = np.array()Y = X**2# plot the figureplt....
buyPrice表示现在价格;curPrice表示买入价格;column.size表示总共数据条数,因为序号是从0开始的,所以最后一条数据的序号是总数目-1;priceChange表示累计涨跌幅。 判断股票涨跌情况 if(priceChange>0): print('股票累计上涨=',priceChange*100,'%') elif(priceChange==0): print('股票累没有变化=',priceChange*...