我们定义了四个标签,分别是set 0,set 1,set 2,set 3"""label_cycle = cycler(label=['set {n}'.format(n=n) for n in range(4)])"""形状周期(cycler):斜线,星装,方格,竖线"""hatch_cycle = cycler(hatch=[
x=np.linspace(0,10,100)y1=np.sin(x)y2=np.sin(x)*np.exp(-x/10)plt.figure(figsize=(10,6))plt.plot(x,y1,label='Curve 1')plt.plot(x,y2,label='Curve 2')plt.fill_between(x,y1,y2,color='green',alpha=0.3)plt.title('Area Between Two Curves - how2matplo...
x=np.linspace(0,10,100)y=np.sin(x)fig,ax=plt.subplots()ax.fill_between(x,y,color='lightblue',hatch='||')ax.set_title('Area Chart with Textures - how2matplotlib.com')plt.show() Python Copy Output: 3. 自定义纹理样式 Matplotlib允许用户自定义纹理样式,通过组合不同的线条和符号来创建独...
res5= plt.fill_between(x[37:],0,y_sig[37:],hatch="//",color="green",alpha=0.3,interpolate=True) #其次对第二个图进行填充,注意这里是从[:22]开始,因为如果是[:21]那么就不会包括21号数字。这是列表的下表的表示方法 res6= plt.fill_between(x_01[:22],0,y_sig01[:22],hatch="\\\"...
hatch:一个字符串,指定填充方式,如['/' | '\' | '|' | '-' | '+' | 'x' | 'o' | 'O' | '.' | '*'] label:一个字符串,指定标签 fill:一个布尔值,决定是否填充 facecolor/edgecolor/color:颜色 fill_between(x, y1, y2=0, where=None, interpolate=False, step=None, **kwargs):...
import matplotlib.pyplot as plt import numpy as np x = np.linspace(0,2,500) y1 = np.sin(2*np.pi*x) y2 = 1.1*np.sin(3*np.pi*x) fig,ax = plt.subplots(3,1,sharex="all") #获得一个画布对象fig,和一个坐标轴列表ax ax[0].fill_between(x,0,y2,alpha=0.5) ax[0].set_ylim...
ax.fill_between(p_cumsum.columns, p_cumsum.iloc[3], p_cumsum.iloc[4], facecolor = sns.color_palette('Greys', 6)[1], hatch = '/', label = p_cumsum.index[4]) ax.fill_between(p_cumsum.columns, p_cumsum.iloc[2], p_cumsum.iloc[3], facecolor = sns.color_palette('Greys', 6)...
# Library import matplotlib.pyplot as plt # Create data x = [1, 2, 3, 4, 5] y = [1, 4, 6, 8, 4] # Area plot plt.fill_between(x, y) plt.show() Basic vocabulary The figure below describes the anatomy of amatplotlibcharts. It names all the main components, names that you ...
在Matplotlib中,我们可以使用fill_between函数来创建渐变填充颜色。这个函数接受两个参数,分别是x轴的值和y轴的值,然后在这两个值之间填充颜色。 以下是一个基本的示例代码: importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.colorsimportLinearSegmentedColormapx=np.linspace(0,10,100)y=np.sin(x)fig,ax...
5) axes[2].set_title("bar") # 填充,两图面积差 axes[3].fill_between(x, x**2, x**3, color="green", alpha=0.5) axes[3].set_title("fill_between") fig.tight_layout() plt.show() fig.savefig("fil.png") 实例4 plt.rcParams['font.sans-serif']=['FangSong_GB2312'] #用来...