plt.title('Complex Scatter Plot')plt.xlabel('X-axis')plt.ylabel('Y-axis')# 添加图例 plt.legend()# 自定义坐标轴范围 plt.xlim(0,1)plt.ylim(0,2)# 添加颜色条 colorbar=plt.colorbar()colorbar.set_label('Color Intensity')# 保存图像(可选) # plt.savefig('complex_scatter_plot.png')# ...
importmatplotlib.pyplotaspltimportnumpyasnp# 方法一:x1=np.linspace(start=0,stop=2*np.pi,num=100)print(x1.shape)# 方法二:x2=np.arange(start=0,stop=2*np.pi,step=0.1)print(x2.shape)# (629,)y1=np.sin(x1)y2=np.cos(x2)# 折线图plt.plot(x1,y1,label="SIN")# 输入x和y,和线的...
return gca().bar( x, height, width=width, bottom=bottom, align=align, **({"data": data} if data is not None else {}), **kwargs) 例1: importmatplotlib.pyplotaspltfig,ax=plt.subplots()fruits=['apple','blueberry','cherry','orange']counts=[40,100,30,55]bar_labels=['red','bl...
example_utils.label(ax,'bar(l, h, w, b)') main 4 填充画图 对应代码: """ fill函数的各种用法 """ importnumpyasnp importmatplotlib.pyplotasplt importexample_utils # -- 产生数据 --- defstackplot_data: x = np.linspace(0,10,100) y = np.random.normal(0,1, (5,100)) y = y.cu...
5.1 barh参数 5.2 实例 6 scatter 绘制散点图 6.1 scatte参数 6.2 实例 7 scatter绘制气泡图 8 stackplot绘制面积图 8.1 stackplot参数 8.2 实例 基础知识:鱼不语:Python之matplotib库 绘制常用图表 1 plot 绘制折线图 1.1 plot方法的具体参数 plt.plot(x,y,color,linestyle,linewidth,marker,markeredgecolor, ...
importexample_utils x=np.linspace(0,10,100) fig,axes=example_utils.setup_axes() foraxinaxes: ax.margins(y=0.10) #子图1默认plot多条线,颜色系统分配 foriinrange(1,6): axes[0].plot(x,i*x) #子图2展示线的不同linestyle fori,lsinenumerate(['-','--',':','-.']): ...
Bar 垂直柱状图 创建一个柱状图,并且在每个柱子的上方显示百分比: 代码实现: importmatplotlib.pyplotasplt# 示例数据categories=['A','B','C','D']values=[0.23,0.45,0.56,0.78]# 这些值将被转换为百分数# 创建一个figure和axesfig,ax=plt.subplots()# 绘制柱状图bars=ax.bar(categories,values)# 为每个柱子...
The mplot3d toolkit (seeGetting startedand3D plotting) has support for simple 3D graphs including surface, wireframe, scatter, and bar charts. ../../_images/sphx_glr_surface3d_0011.png Surface3d Thanks to John Porter, Jonathon Taylor, Reinier Heeres, and Ben Root for themplot3dtoolkit....
plt.colorbar(shrink=0.92) plt.xticks(()) plt.yticks(()) plt.show() 1. 2. 3. 4. 5. 3D图 额外导入Axes3D显示3D坐标 import matplotlib.pyplot as plt import numpy as np # 导入Axes3D(3D坐标显示) from mpl_toolkits.mplot3d import Axes3D ...
matplotlib.pyplot.colorbar matplotlib.colors.BoundaryNorm matplotlib.ticker.MaxNLocator Histograms hist() python np.random.seed(19680801) # example data mu = 100 # mean of distribution sigma = 15 # standard deviation of distribution x = mu + sigma * np.random.randn(437)#x ~ N(mu, sigma^2...