y),label,marker,colorinzip(data,labels,markers,colors):plt.scatter(x,y,marker=marker,color=color,label=label)# 添加图例plt.title('Multi-Scatter Plot with Different Shapes')plt.xlabel('X-axis')plt.ylabel('Y-axis')pl
plot('date', 'traffic', data=df, color='tab:blue', label='Air Traffic') plt.scatter(df.date[peak_locations], df.traffic[peak_locations], marker=mpl.markers.CARETUPBASE, color='tab:green', s=100, label='Peaks') plt.scatter(df.date[trough_locations], df.traffic[trough_locations], m...
p1= ax.scatter(datingDataMat[idx_1,0],datingDataMat[idx_1,1],marker ='*',color ='r',label='1',s=10) idx_2= np.where(datingLabels==2) p2= ax.scatter(datingDataMat[idx_2,0],datingDataMat[idx_2,1],marker ='o',color ='g',label='2',s=20) idx_3= np.where(datingLabels...
sst=np.sum((y_actual-np.mean(y_actual))**2) r2=1-sse/sst# r2_score(y_actual, y_predicted, multioutput='raw_values') # rmse = np.sqrt(mean_squared_error(y_actual, y_predicted)) # count = np.size(y_predicted) # predictionMean = np.mean(y_predicted) # yMean = np.mean(y_...
9将图例放在 plot 的不同位置 importmatplotlib.pyplotasplt #Plot a line graph plt.plot([5,15],label='Rice')plt.plot([3,6],label='Oil')plt.plot([8.0010,14.2],label='Wheat')plt.plot([1.95412,6.98547,5.41411,5.99,7.9999],label='Coffee')# Add labels and title ...
scatter plot while assigning point colors and sizes to different # variables in the dataset f, ax = plt.subplots(figsize=(6.5, 6.5)) sns.despine(f, left=True, bottom=True) clarity_ranking = ["I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"] sns.scatterplot(x="...
整合代码如下:此时运行结果:任务实现导入模块设置中文显示绘制男、女生月消费饮料条形图在男生、女生条形中间位置标注各种饮料的名称任务实现运行结果如下:PartThree鸢尾花不同特征与种类的关系图—散点图掌握散点图的绘制进一步熟悉鸢尾花数据集及各特征掌握散点图scatter函数的调用任务描述【任务描述】假设当前目录下有...
scatter(x2_samples[:,0], x1_samples[:,1], marker='o', color ='green', alpha=0.7, label = 'x2 samples') plt.scatter(x3_samples[:,0], x1_samples[:,1], marker='^', color ='red', alpha=0.7, label = 'x3 samples') plt.title('Basic scatter plot') plt.ylabel('variable X'...
map_chart = multi_index_df.plot_animated(kind="bubble",filename="examples/example-bubble-chart.gif",x_data_label="Longitude",y_data_label="Latitude",size_data_label="Cases",color_data_label="Cases",vmax=5, steps_per_period=3, interpolate_period=True, period_length=500,dpi=100) ...
对于折线图的绘制,在之前文章的示例中都有使用,在面向对象绘图方法中,一般是创建axes实例后调用plot()方法实现折线图绘制,并通过传递各种参数实现对图像的设置。散点图的绘制通过axes实例的scatter()方法来实现。scatter()方法的参数和参数取值与绘制折线图的plot()方法基本一致,所以本文将两种图放在一起进行介绍。