8))scatter=plt.scatter(x,y,c=values,cmap='coolwarm',vmin=0,vmax=1)plt.colorbar(scatter)plt.title('Scatter Plot with Color Range - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.show()
在Matplotlib中,colormap通常用于将标量数据映射到颜色空间。当我们在scatter()函数中使用colormap时,我们实际上是在为每个点分配一个颜色,这个颜色基于点的数值大小。例如,如果我们有一个表示温度的数值列表,并将其映射到颜色空间,那么较低的温度值可能会对应蓝色,而较高的温度值可能会对应红色。 突出数据的规律: co...
8))forcat,(x,y)indata.items():plt.scatter(x,y,label=cat)plt.title('Scatter Plot with Color Cycle - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.show(
scatter(x[i],y[i],s=80,color=year_color[i],zorder=2) #绘制小横线:原理同上 line = inset_axes(ax,width=5.3, height=.4,loc='upper left', bbox_to_anchor=(-0.015, 0.15, 1, 1), bbox_transform=ax.transAxes, borderpad=0) line.plot([.1,.7],[.1,.1],color='#45627C',lw=...
def scatterplot(x_data, y_data, x_label="", y_label="", title="", color = "r", yscale_log=False): # Create the plot object _, ax = plt.subplots() # Plot the data, set the size (s), color and transparency (alpha)
Matplotlib.pyplot.plot 绘图 matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewid
plt.scatter(x, y, s=sizes, alpha=0.5)plt.show() Result: Try it Yourself » Combine Color Size and AlphaYou can combine a colormap with different sizes of the dots. This is best visualized if the dots are transparent:Example Create random arrays with 100 values for x-points, y-...
(df.displ, 40, histtype='stepfilled', orientation='vertical', color='deeppink') ax_bottom.invert_yaxis() # histogram in the bottom ax_right.hist(df.hwy, 40, histtype='stepfilled', orientation='horizontal', color='deeppink') # Decorations ax_main.set(title='Scatterplot with Histograms ...
>>> plt.scatter(x,y,c=color,s=size,alpha=0.5) <matplotlib.collections.PathCollection object at 0x0000013F932E2288> >>> plt.colorbar() <matplotlib.colorbar.Colorbar object at 0x0000013F97A22708> >>> plt.show() 1. 2. 3. 4. ...
plt.scatter(x, y, c=colors, s=sizes, alpha=0.3, cmap='viridis') plt.colorbar();# 显示颜色对比条 注意图表右边有一个颜色对比条(这里通过colormap()函数输出),图表中的点大小的单位是像素。使用这种方法,散点的颜色和大小都能用来展示数据信息,...