plt.plot(x, y1, label='sin(x)', color='r', linestyle='-') plt.plot(x, y2, label='cos(x)', color='g', linestyle='--') plt.plot(x, y3, label='tan(x)', color='b', linestyle=':') 添加标题和标签 plt.title('Multiple Lines in Matplotlib') plt.xlabel('x') plt.ylabel(...
plt.plot(x, y1, color='red', linestyle='-', marker='o', label='sin(x)') plt.plot(x, y2, color='blue', linestyle='--', marker='x', label='cos(x)') plt.plot(x, y3, color='green', linestyle=':', marker='s', label='tan(x)') 添加标题和标签 plt.title('Multiple Li...
figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi) # multiple line plot for column in df.drop('x', axis=1): plt.plot(df['x'], df[column], marker='', color='grey', linewidth=1, alpha=0.4) # Now re do the interesting curve, but biger with distinct color plt.plot(df[...
() # 绘制多线图 ax.plot(x, y1, label='sin(x)') ax.plot(x, y2, label='cos(x)') ax.plot(x, y3, label='tan(x)') # 添加图例 ax.legend() # 设置标题和坐标轴标签 ax.set_title('Multiple Line Plot') ax.set_xlabel('X-axis') ax.set_ylabel('Y-axis') # 显示图形 plt....
plt.plot(x_values, filtered_data['Column4'].values, color='blue', linestyle='dashed', linewidth=1) # 设置图形标题和坐标轴标签,这里假设标题为'Multiple Line Plot',x轴标签为'Time Series',y轴标签为'Data' plt.title('Multiple Line Plot') plt.xlabel('Time Series') plt.ylabel('Data')相关...
(480/my_dpi, 480/my_dpi), dpi=my_dpi) # multiple line plot for column in df.drop('x', axis=1): plt.plot(df['x'], df[column], marker='', color='grey', linewidth=1, alpha=0.4) # Now re do the interesting curve, but biger with distinct color plt.plot(df['x'], df['...
importmatplotlib.pyplotasplt# 绘制折线图plt.plot(x,y1,label='sin(x)',color='blue')# 第一条折线plt.plot(x,y2,label='cos(x)',color='orange')# 第二条折线# 添加图例plt.legend()# 添加标题和标签plt.title("Multiple Line Graphs")plt.xlabel("X axis")plt.ylabel("Y axis")# 保存图形到...
然后,我们可以使用plt.plot()方法画出多个折线图。 plt.plot(x,data1,label='sin(x)')# 绘制第一组折线图plt.plot(x,data2,label='cos(x)')# 绘制第二组折线图plt.xlabel('x')# 添加x轴标签plt.ylabel('y')# 添加y轴标签plt.title('Multiple Line Plots')# 添加图表标题plt.legend()# 显示图例...
importmatplotlib.pyplotaspltimportnumpyasnp# Example datax=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)y3=np.tan(x)y4=np.exp(-x)# Creating Multiple Subplots for Line Plotsfig,axes=plt.subplots(nrows=2,ncols=2,figsize=(10,8))# Line Plot 1axes[0,0].plot(x,y1,label='sin(...
此外,网上还有一些类似的帖子,最接近的是: https ://community.plot.ly/t/multiple-traces-plotly-express/23360 但是, 这篇 帖子展示了如何添加散点,而不是直线.我想绘制一条线,但没有类似于此处示例中显示的 add_scatter 的 add_line。 提前感谢任何帮助 示例代码: import plotly.express as px import pandas...