我们将使用Matplotlib的plot函数来制作图形。 importmatplotlib.pyplotasplt x=[0,1,2,3,4]y1=[0,1,4,9,16]y2=[0,2,4,6,8]plt.plot(x,y1,label='Line 1')plt.plot(x,y2,label='Line 2')plt.xlabel('X')plt.ylabel('Y')plt.title('Two Lines Plot')plt.legend()plt.show() Python Cop...
label='Data 2')plt.title('Line Plot with Multiple Data Sets')plt.xlabel('X Axis')plt.ylabel...
importmatplotlib.pyplotaspltimportnumpyasnp# 创建数据x=np.linspace(0,10,100)y1=np.sin(x)y2=np.exp(x)# 创建图表和第一个Y轴fig,ax1=plt.subplots()# 绘制第一条线line1=ax1.plot(x,y1,color='blue',label='Sin(x)')ax1.set_xlabel('X axis - how2matplotlib.com')ax1.set_ylabel('Y1 ...
lw=2.5) plt.plot(r,-pay_month,'o',label=u'贷款利率5%对应的每月偿还金额',lw=2.5) plt....
1.官方案例 import matplotlib.pyplot as plt def make_patch_spines_invisible(ax): ax.set_frame_on(True) ax.patch.set_visible(False) for sp in ax.spines.valu
star1、line plot【折线图】 官网教程:https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html 详细实战教程:Python可视化|matplotlib11-折线图plt.plot 快速教程: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importnumpyasnpimportmatplotlibasmplimportmatplotlib.pyplotasplt ...
Plot y versus xaslinesand/ormarkers. Call signatures:: plot([x], y, [fmt], *, data=None, **kwargs) plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs) The coordinates of the pointsorline nodes are given by *x*, *y*. ...
# lets plot two lines Sin(x) and Cos(x)# loc is used to set the location of the legend on the plot# label is used to represent the label for the line in the legend# generate the random numberx= np.arange(0,1500,100)plt.plot(np.sin(x),label='sin function x')plt.plot(np.co...
plt.plot(*args, scalex=True, scaley=True, data=None, **kwargs) -> list[Line2D] 1. 功能:绘制 y 相对于 x 的线条和标记点【可以只绘制标记点也可以只绘制线条,也可以都绘制】(支持同时绘制多组数据) 返回:包含所有线条对象的列表(Line2D实例) ...
Plot with a 20.5pt wide line: importmatplotlib.pyplotasplt importnumpyasnp ypoints = np.array([3,8,1,10]) plt.plot(ypoints, linewidth ='20.5') plt.show() Result: Try it Yourself » Multiple Lines You can plot as many lines as you like by simply adding moreplt.plot()functions: ...