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...
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=[
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="\\\"...
1.2 交叉曲线的颜色填充 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=...
fill_between()函数允许我们根据条件选择性地填充: importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)plt.figure(figsize=(10,6))plt.plot(x,y1,label='sin(x)')plt.plot(x,y2,label='cos(x)')plt.fill_between(x,y1,y2,where=(y1>y2),color=...
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):...
ax.fill_between(p_cumsum.columns, p_cumsum.iloc[6], p_cumsum.iloc[7], facecolor = sns.color_palette('Greys', 6)[4], hatch = '/', label = p_cumsum.index[7]) ax.fill_between(p_cumsum.columns, p_cumsum.iloc[5], p_cumsum.iloc[6], facecolor = sns.color_palette('Greys', 6)...
# 添加数据,改变了 xlim,ylim,但不会影响 ax.transAxes 的行为fori,labelinenumerate(('A','B','C','D')):Y=curve()X=np.linspace(-3,3,len(Y))ax=fig.add_subplot(2,2,i+1)ax.fill_between(X,3*Y,color=color[i])ax.plot(X,3*Y,color="k",linewidth=0.75)ax.text(0.05,0.95,label...
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...