importmatplotlib.pyplotasplt x=[1,2,3,4,5]y1=[2,4,6,8,10]y2=[1,3,5,7,9]plt.plot(x,y1,color='blue',label='Line 1')plt.plot(x,y2,color='red',label='Line 2')plt.title('Multiple Lines with Different Colors - how2matplotlib.com')plt.legend()plt.show() Python Copy Outpu...
6))plt.errorbar(x,y,yerr=yerr,fmt='go-',ecolor='red',capsize=5,label='how2matplotlib.com')plt.title('Errorbar with Different Colors')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.show()
'D', 'E'] values = [-10, 20, -5, 15, -8] # 创建条形图 plt.bar(categories, values, color=['red' if value < 0 else 'blue' for value in values], edgecolor='black') # 设置标题和标签 plt.title('Bar Chart with Different Colors for Negative Values') plt.xlabel('Categories') p...
这就需要用到自定义colorbar。 如下所示是自定义的一种,应用在实际工程中的实例。 应用实例 我的文章就是本着开箱即用的原则不多bb直接上代码 完全自定义 颜色自己找,colormap也自己定义 from matplotlib import colors # 导入colors # 颜色自己去识别 color_list = ["#d63031","#fab1a0","#00cec9"] my...
Different labels can be given to different bar plotsinthe same plot.# Linewidth determines the widthofthe line.plt.bar(x,y,label='Number of properties built',color='dodgerblue',width=1,,alpha=0.7)# plt.bar(x2,y2,label='Bar 2',color='red',width=1)#X-axis label.plt.xlabel('YEAR'...
plt.bar(x, height = h, color = c) plt.show() Output Now, let us apply different colors for bar faces of the bar plot, by passing a list of colors for color parameter. example.py </> Copy import matplotlib.pyplot as plt #data ...
34、条形图 (Bar Chart) 条形图是基于计数或任何给定指标可视化项目的经典方式。在下面的图表中,我为每个项目使用了不同的颜色,但您通常可能希望为所有项目选择一种颜色,除非您按组对其进行着色。颜色名称存储在下面代码中的all_colors中。您可以通过在plt....
colors = np.array([0, 10, 20, 30, 40, 45, 50, 55, 60, 70, 80, 90, 100]) plt.scatter(x, y, c=colors, cmap='viridis')plt.show() Result: Try it Yourself » You can include the colormap in the drawing by including the plt.colorbar() statement:...
Axes.hist(self, x, bins=None, range=None, density=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None, stacked=False, *, data=None, **kwargs)返回一个三元组(n, bins, patches) 或者...
s=20, cmap=colors[i], label=str(category)) # "c=" 修改为 "cmap=",Python数据之道 备注 # Decorations plt.gca().set(xlim=(0.0,0.1), ylim=(0,90000), xlabel='Area', ylabel='Population') plt.xticks(fontsize=12); plt.yticks(fontsize=12) ...