To add text to anindividual Axes objectjust callax.annotate(<text>, <xy_coords>): importmatplotlib.pyplotaspltimportnumpyasnp# generate sample data to plotx=np.linspace(0.0,100,50)y=np.random.uniform(low=0,high=10,size=50)# get references to the 2 axes with plt.subplots()fig,(ax1,a...
x=np.linspace(0,10,100)y=np.sin(x)fig,ax=plt.subplots()ax.plot(x,y)ax.annotate('Maximum - how2matplotlib.com',xy=(np.pi/2,1),xytext=(4,0.8),arrowprops=dict(facecolor='black',shrink=0.05))plt.title('Sine Wave with Annotation')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.s...
x=np.linspace(0,10,100)y=np.sin(x)fig,ax=plt.subplots(figsize=(10,6))ax.plot(x,y)ax.annotate('Peak - how2matplotlib.com',xy=(np.pi/2,1),xytext=(4,0.8),arrowprops=dict(facecolor='black',shrink=0.05))plt.show() Python Copy Output: 在这个例子中,我们为正弦波的峰值添加了一个带...
ax.text(x, y, s, fontdict=None, withdash=<deprecated parameter>, **kwargs) Docstring: Add text to the axes. Add the text *s* to the axes at location *x*, *y*indata coordinates. Parameters --- x, y : scalars The position to place the text. By default, thisisindata coordinates...
plt.plot(x, x**2, px, py, 'ro') plt.annotate('Beautiful point', xy=(px, py), xytext...
plt.plot(x,x*x) plt.show() 具体实现效果: 2. 添加文字-text 设置坐标和文字,可以使用 matplotlib.pyplot 对象中 text() 接口。其中 第一、二个参数来设置坐标,第三个参数是设置显示文本内容。 importnumpyasnp importmatplotlib.pyplotasplt # 显示中文 ...
['cmb10'],# 'Simsun'宋体"axes.unicode_minus":False,# 用来正常显示负号}plt.rcParams.update(config)x = np.linspace(0,6,50)plt.plot(x, np.sin(x), label =r"Sine $\sin(\theta)$")plt.title(r'Sine Function $\alpha_i \leq \beta_j$')plt.xlabel(r'$\theta_i$')plt.ylabel(r'$...
1.pyplot.plot 我们先来看下,这个plot函数,之前呢,绘图的时候,一直都是使用这个函数, 貌似没说这个函数到底干啥的。 matplotlib.pyplot.plot(*args,**kwargs)Plot linesand/ormarkers to the Axes.argsisa variable length argument,allowingformultiple x,y pairswithan optionalformatstring.For example,each of...
from matplotlib.offsetboximport(OffsetImage,AnnotationBbox)fig,ax=plt.subplots(figsize=(12,8))df.plot(kind="bar",ax=ax)imagebox=OffsetImage(logo,zoom=0.5)ab=AnnotationBbox(imagebox,(5,700),frameon=False)ax.add_artist(ab)plt.ylabel("GW")# 标题 ...
plt.plot(x, y) # 添加注释 plt.annotate('Highest Point', xy=(5, 11), xytext=(3, 6), arrowprops=dict(facecolor='black', shrink=0.05)) # 添加标题和轴标签 plt.title('cjavapy with Annotation') plt.xlabel('X Axis') plt.ylabel('Y Axis') ...