最直接的方式就是多次调用plot方法。 >>> plot(x1, y1, 'bo') >>> plot(x2, y2, 'go') 1. 2. 或者,你的数据本身是一个二维数组,就可以直接传入x,y,数据的每一列都会被绘制成图。例如:数组a的第一列代表x值,其他列代表y值。 >>> plot(a[0], a[1:]) 1. 第三种方法是用多组[x],y,...
importmatplotlib.pyplotasplt# 设置数据x=[1,2,3,4,5]y=[2,3,5,7,10]plt.plot(x,y,linestyle='--',color='gray',label='Line - how2matplotlib.com')# 绘制线plt.scatter([x[2]],[y[2]],color='red',s=100,label='Highlight Point (3,5) - how2matplotlib.com')# 突出显示中间点plt...
graph_objs_toolsheatmap(package)heatmapgl(package)histogram(package)histogram2d(package)histogram2dcontour(package)layout(package)mesh3d(package)ohlc(package)parcoords(package)pie(package)pointcloud(package)sankey(package)scatter(package)scatter3d(package)scattercarpet(package)scattergeo(package)scattergl(pack...
plt.plot(x, y, 'ro-',label="xxx") # red+solid-point+line plt.xlabel("...") plt.ylabel("...") matplotlib.pyplot.title("...") plt.xlim(a,b) # limit the x-axis plt.ylim(c,d) # limit the y-axis plt.grid() #show grid plt.legend(loc="upper left") #generate legend by...
[6],2),"good point", fontdict={'size': 10,'color':'red'})#fontdict设置文本字体#Add text to the axes.plt.rcParams['font.sans-serif']=['SimHei']#用来正常显示中文标签plt.rcParams['axes.unicode_minus']=False#用来正常显示负号plt.savefig('test_xx.png', dpi=100, transparent=False)#dpi...
barbs(X, Y, U, V) # Arbitrary set of vectors, make them longer and change the pivot point # (point around which they're rotated) to be the middle axs1[0, 1].barbs( data['x'], data['y'], data['u'], data['v'], length=8, pivot='middle') # Showing colormapping with ...
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...
# Point the properties to the font path. font_properties = FontProperties(fname=font_path) plt.rcParams['font.family'] = font_properties.get_name() # Make the plot. myplot = pd.DataFrame({'欧文': [1,2,3], '比尔': [1,2,3]}).plot(x='欧文') ...
group.colours="#30A9DE",group.line.width=1.2,group.point.size=4,# 设置背景 background.circle.colour="#FEEE7D",#设置刻度label axis.label.size=8,#图例设置 plot.legend="TRUE",legend.position="bottom",legend.title="Single Group :",legend.text.size=15)...
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...