importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.colorsimportLinearSegmentedColormapx=np.linspace(0,10,100)y=np.sin(x)fig,ax=plt.subplots()ax.plot(x,y,color='black')cmap=LinearSegmentedColormap.from_list('mycmap',['blue','white','red'])Z=np.random.rand(6,10)ax.imshow(Z,aspect...
x=np.linspace(0,10,100)y1=np.sin(x)y2=np.sin(x)+0.5plt.figure(figsize=(10,6))plt.plot(x,y1,label='sin(x)')plt.plot(x,y2,label='sin(x) + 0.5')plt.fill_between(x,y1,y2,color='green',alpha=0.3)plt.title('Fill Between Two Lines - how2matplotlib.com')plt.legend()plt....
fill_betweenx(x, -y1, where=y1 < 0, color='blue', alpha=0.5) ax.margins(0.15) example_utils.label(ax, 'fill_between/x') def stackplot_example(ax): # Stackplot就是多次调用 ax.fill_between x, y = stackplot_data() ax.stackplot(x, y.cumsum(axis=0), alpha=0.5) example_utils....
在Matplotlib中,颜色渐变可以通过多种方式实现,包括使用内置的colormap、自定义colormap、以及通过imshow、fill_between等函数来创建渐变效果。 1. 使用内置的colormap Matplotlib提供了许多内置的colormap,如viridis、plasma、coolwarm等,这些colormap本身就具有渐变效果。你可以通过plt.imshow或plt.pcolor等函数结合这些color...
Bar Plots with Color Bar plots are excellent for comparing categorical data. Using color effectively in bar plots can help distinguish between different categories. Here’s an example: import matplotlib.pyplot as plt import numpy as np categories = ['A', 'B', 'C', 'D', 'E'] ...
gradient = np.linspace(0,1,256) gradient = np.vstack((gradient, gradient)) defplot_color_gradients(cmap_category, cmap_list): # Create figure and adjust figure height to number of colormaps nrows =len(cmap_list) figh =0.35+0.15+ (nrows + (nrows-1)*0.1)*0.22 ...
plt.plot(days, prices, linestyle="-", color="darkgreen", linewidth=2, label="Price") plt.fill_between(days, prices, 145, color="green", alpha=0.3) # Add labels, title, and legend plt.xlabel("Day") plt.ylabel("Price ($)") ...
[20, 40, 60, 70] # 生成图表 plt.plot(year, people) plt.xlabel('年份') plt.ylabel('人口') plt.title('人口增长') # 设置纵坐标刻度 plt.yticks([0, 20, 40, 60, 80]) # 设置填充选项:参数分别对应横坐标,纵坐标,纵坐标填充起始值,填充颜色 plt.fill_between(year, people, 20, color=...
full_like(a, fill_value[, dtype, order, subok]) Matplotlib 编辑讨论 Matplotlib 是一个 Python 的 2D绘图库,它以各种硬拷贝格式和跨平台的交互式环境生成出版质量级别的图形。 中文名 绘图库 外文名 Matplotlib 所属领域 计算机 作用 绘图 元素
fill-between-multiple-lines-matplotlib/ 评论 In [32]: x=np.arange(0,5,0.02) y1=2-2*x y2=6-x y3=8-4*x y4=np.minimum(y2,y3) plt.plot(x,y1,color="red",label="2-2x") plt.plot(x,y2,color="blue",label="6-x") plt.plot(x,y3,color="green",label="8-4x") plt.ylim...