AI检测代码解析 # 自动化脚本示例importmatplotlib.pyplotaspltdefplot_lines():plt.figure(figsize=(10,5))plt.plot([0,1],[0,1],color='blue',linestyle='-',linewidth=2)plt.plot([0,1],[1,0],color='red',linestyle='--',linewidth=2)plt.title('Two Lines')plt.show()plot_lines() 1. 2...
使用ax.plot()方法绘制第一条折线: ax.plot(x1,y1,label='Line 1') 1. 绘制第二条折线 同样使用ax.plot()方法绘制第二条折线: ax.plot(x2,y2,label='Line 2') 1. 添加标题和标签 使用ax.set_title()和ax.set_xlabel()方法添加标题和 x 轴标签: ax.set_title('Two Lines Chart')ax.set_xlab...
# 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.figure(figsize=(5, 3)) x = np.random.randint(0, 10, size=15) plt.plot(x, marker="*", c="r") plt.plot(x.cumsum(), marker="o", c="b") [<matplotlib.lines.Line2D at 0x271270c2690>] 4. Pandas获取Excel数据 df = pd.read_excel("04_line.xlsx", sheet_name="line") ...
line2 = ax2.plot(x, y2, label='y2轴', color='tomato', marker=None, ls='--') # 设置x轴和y轴的标签,指明坐标含义 ax1.set_xlabel('x轴', fontdict={'size': 16}) ax1.set_ylabel('y1轴',fontdict={'size': 16}) ax2.set_ylabel('y2轴',fontdict={'size': 16}) ...
>>> plt.plot(x2.cumsum(),c='blue',linestyle=':',marker='*') [<matplotlib.lines.Line2D object at 0x0000000013530F28>]#设置三条线的样式 >>> plt.legend (['x1','x2','x3']) <matplotlib.legend.Legend object at 0x0000000013521C18> ...
# 单系列柱状图方法一:plt.plot(kind='bar/barh') df.plot(kind='bar',ax = axes[1],grid = True,colormap='Reds_r') # 多系列柱状图 df.plot(kind='bar',ax = axes[2],grid = True,colormap='Blues_r',stacked=True) # 多系列堆叠图 ...
黑色),w(白色)# 抛物线x = np.linspace(-5, 5, 50)y = x**2# 画图：设置颜色plt.plot(x,y,c="r")[<matplotlib.lines.Line2D at 0x1d65ba7d990>]第二种方式plt.plot(x,y,color="red")[<matplotlib.lines.Line2D at 0x1d65c0a7190>]# ls：line style 设置样式红色实线plt.plot(x,y,c="...
如果只是想在数据点之间添加直线连接,可以直接使用plot()函数,将x和y数据作为参数传递。 示例代码: importmatplotlib.pyplotasplt x=[1,2,3,4,5]y=[2,3,5,7,11]plt.scatter(x,y)plt.plot(x,y,color='green')# 添加连接线plt.title("Scatter Plot with Connecting Lines - how2matplotlib.com")plt....
x=np.linspace(0,10,100)y=np.sin(x)plt.figure(figsize=(10,6))plt.plot(x,y,label='sin(x)')plt.title('How to add grid lines - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.grid(True)plt.legend()plt.show() ...