500,50)# 创建散点图plt.figure(figsize=(10,6))scatter=plt.scatter(x,y,s=sizes,alpha=0.5)# 添加颜色条plt.colorbar(scatter)# 设置图表属性plt.title('Scatter Plot with Variable Marker Sizes - how2matplotlib.com')plt.xlabel('X-axis'
作用:plt.scatter()函数用于生成一个scatter散点图。 matplotlib.pyplot.scatter(x,y,s=20,c='b',marker='o',cmap=None,norm=None,vmin=None,vmax=None,alpha=None,linewidths=None,verts=None,hold=None,**kwargs) 参数: x,y:表示的是shape大小为(n,)的数组,也就是我们即将绘制散点图的数据点,输入...
Matplotlib里有两种画散点图的方法,一种是用ax.plot画,一种是用ax.scatter画。 一. 用ax.plot画 ax.plot(x,y,marker="o",color="black") 二. 用ax.scatter画 ax.scatter(x,y,marker="o",s=sizes,c=colors) ax.plot和ax.scatter的区别: ax.plot:各散点彼此复制,因此整个数据集中所有的点只需配...
plt.scatter(x,y,s=300,c='r',marker='^',alpha=0.5,linewidths=7,edgecolors='g') 官网: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.html...
range(len(x))] plt.scatter(x,y,s=s) plt.title('Doubling width of marker in scatter plot'...
matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None, plotnonfinite=False, data=None, **kwargs) 参数: x, y:绘制散点图的数据点。
Matplotlib scatter marker Matplotlibprovides apyplotmodule for data visualization. Under the pyplot module, we have ascatter()function to plot a scatter graph. Basically, thescatter()method draws one dot for each observation. In matplotlib, plotted points are known as “markers“. ...
plt.plot() 1. 没有任何配置的plot的基本图形是这样,默认X轴的范围是:-0.04至0.04 图形的构成 - Figure - 画布 - Axes - 坐标系 - Axis - 坐标轴(X轴,y轴) - 图形 - plot()折线图,scatter()散点图,bar()柱状图, pie()饼图 - 标题、图例、标签、... # 官网...
5. 使用scatter()函数添加标记点 除了plot()函数,scatter()函数也是添加标记点的常用方法,特别是当我们想要更灵活地控制每个点的属性时。 importmatplotlib.pyplotaspltimportnumpyasnp x=np.random.rand(50)y=np.random.rand(50)colors=np.random.rand(50)sizes=1000*np.random.rand(50)plt.figure(figsize=(8...
matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None, plotnonfinite=False, data=None, **kwargs) 1. MarkerStyle 示例 import numpy as np ...