plot(values) (2)Seaborn customization使用seaborn 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # libraries import matplotlib.pyplot as plt import numpy as np import seaborn as sns # create data values=np.cumsum(np.random.randn(1000,1)) # use the plot function plt.plot(values) (3)设置...
Method 1: Using set() method: In the set() method, we have to pass the xlabel and ylabel parameter values to determine the labels for the x and y axes. Here is a code snippet showing how to use it. import seaborn as sns import numpy as np import matplotlib.pyplot as plt import pa...
最简单的方法是使用plt.text()函数在垂直线旁边添加文本: importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,100)y=np.sin(x)*np.exp(-0.1*x)plt.figure(figsize=(10,6))plt.plot(x,y,label='Damped sine wave')# 添加带标签的垂直线line=plt.axvline(x=5,color='r',linestyle='-...
这里,我们使用numpy.linspace()生成从0到10等间隔的100个数,并通过np.sin()计算其正弦值。然后,使用plt.plot()绘制线条,将生成的Line2D对象存储到line变量中。 第五步:使用获取的线条数据进行计算 我们可以从line对象中获取点的数据: AI检测代码解析
这个示例使用numpy的linspace函数生成等间距的x坐标,并使用Matplotlib的颜色映射生成不同的颜色。通过循环,我们可以轻松地绘制多条垂直线。 4. 自定义垂直线的范围 默认情况下,axvline函数绘制的垂直线会延伸到整个y轴。但有时我们可能只需要在特定范围内绘制垂直线。我们可以使用ymin和ymax参数来控制线的起点和终点:...
Now thendarray object of anglesbetween0 and 2(pie)is obtained using thearange()function from theNumPy library. In order to plot the values from the two arrays, we have used theplot()function. In the next two lines after it, we have set thex and y label of the graph. ...
import numpy as np import matplotlib.pyplot as plt t = np.arange(0.0, 3.0, 0.01) s = np.sin(2.5 * np.pi * t) plt.plot(t, s) plt.xlabel('time (s)') plt.ylabel('voltage (mV)') plt.title('Sine Wave') plt.grid(True) ...
importmatplotlib.pyplotaspltimportnumpyasnp x = np.random.randint(low=1, high=10, size=25) plt.plot(x, color ='blue', linewidth=3, linestyle='-.') plt.show() This results in: There'sa lot of line styles. Conclusion In this tutorial, we've gone over several ways to plot a Line...
importmatplotlib.pyplotaspltimportmatplotlib.datesasmdatesimportdatetimeimportnumpyasnp# 创建示例数据dates=[datetime.datetime(2023,1,1)+datetime.timedelta(days=i)foriinrange(365)]values=np.random.randn(365).cumsum()# 创建图表plt.figure(figsize=(12,6))plt.plot(dates,values)# 添加多个自定义样式的...
pyplot as plt import numpy as np # create data values=np.cumsum(np.random.randn(1000,1)) # use the plot function plt.plot(values) (2)Seaborn customization使用seaborn # libraries import matplotlib.pyplot as plt import numpy as np import seaborn as sns # create data values=np.cumsum(np....