plt.title('test绘图函数')#设置图标#plt.legend('绘图值', loc=2, fontsize = 5)#The relative size of legend markers compared with the originally drawn ones.plt.legend(['绘图值'], loc='upper left', markerscale = 0.5, fontsize = 10)#设置横轴的上下限plt.xlim(-0.5, 2.5)#设置纵轴的上...
plt.annotate("({0},{1})".format(round(x2[2],2), round(y2[2],2)), xy=(x2[2], y2[2]), fontsize=10, xycoords='data') # xycoords='data' 以data值为基准 # 设置字体大小为 10 plt.text(round(x2[6],2), round(y2[6],2), "good point", fontdict={'size': 10, 'colo...
plt.scatter(x_data, y_data,s=50)#相当于size,调节点的大小 #设置图的标题,并给各坐标轴加上标签 plt.title("Point", fontsize=15) plt.xlabel("x", fontsize=15) plt.ylabel("y", fontsize=15) #设置各轴的刻度标记大小 plt.tick_params(axis='both', labelsize=15) plt.show() 1. 2. 3...
ax.text(-.08,1.1,"Base Charts in Python Exercise 01: Point Charts",transform=ax.transAxes,color='k',ha='left',va='center',size=15,fontweight='extra bold')ax.text(.91,-.1,'\nVisualization by DataCharm',transform=ax.transAxes,ha='center',va='center',fontsize=7,color='black')plt...
(image_gray, corner_coordinates, window_size=11) pylab.figure(figsize=(20,20)) pylab.subplot(211), pylab.imshow(coordinates, cmap='inferno') pylab.plot(coordinates_subpix[:, 1], coordinates_subpix[:, 0], 'r.', markersize=5, label='subpixel') pylab.legend(prop={'size': 20}), ...
sns.relplot(x="passengerid",y="age",col="pclass",hue=None, row=None,kind='scatter',data=df)#kind为line,scatter;col表示按照该列进行分列绘图#下面是具体的折线图和散点图函数,但这两种方法均不能进行分面sns.lineplot(x="passengerid",y="age",data=df)sns.scatterplot(x="passengerid",y="...
total_bill是消费总金额,tip是小费,size指用餐人数。boxplot()中数据参数有x和y,我们将消费数据依次传给x和y看看绘图效果: sns.boxplot(x='tip',data=tips) sns.boxplot(y='tip',data=tips) sns.boxplot(y='tip',x='day',data=tips) 通过对比上面3幅图,我们很容易发现,boxplot()这个函数x,y两个...
2 Santiago ChilePOINT(-70.66000 -33.45000) 3 Bogota ColombiaPOINT(-74.080004.60000) 4 Caracas VenezuelaPOINT(-66.8600010.48000) # 在南美地图上展示 world = gpd.read_file(gpd.datasets.get_path("naturalearth_lowres")) # 定位到南美 ax = world.cx[-90:-55, -25:15].plot(color="white", edg...
from plotnine import ggplot, aes, geom_point # 创建数据帧 df = pd.DataFrame({'x': [1, 2, 3, 4, 5], 'y': [2, 4, 6, 8, 10]}) # 绘制散点图 ggplot(df, aes(x='x', y='y')) + geom_point() + ggtitle("Scatter Plot") 6.Altair:Altair是一个声明性的可视化库,它基于Ve...
lake_color='aqua') map.drawcoastlines() plt.show()由于basemap无所不能的绘图能力，你还可以画...