ax.plot(new_name_lst, x_list,label='velocity_x')线条加粗

要将线条加粗，你可以在绘制时使用`linewidth`参数来指定线条宽度。例如：

ax.plot(new_name_lst, x_list, label='velocity_x', linewidth=2.5)

这里的`linewidth`参数值为2.5，你可以根据实际需要调整该值来改变线条宽度。

相关问题

fig, ax = plt.subplots() ax.plot(new_name_lst, x_list, label='velocity_x') ax.plot(new_name_lst, y_list, label='velocity_y') ax.plot(new_name_lst, list3, label='velocity') # leg = ax.legend(loc='upper left', fancybox=True, shadow=True) leg.get_frame().set_alpha(0.5) lines = [l for l in ax.lines] lined = dict() for legline, origline in zip(leg.get_lines(), lines): legline.set_picker(True) lined[legline] = origline def onpick(event): legline = event.artist origline = lined[legline] visible = not origline.get_visible() origline.set_visible(visible) if visible: legline.set_alpha(1.0) else: legline.set_alpha(0.2) fig.canvas.draw() fig.canvas.mpl_connect('pick_event', onpick) plt.show()这个代码加一个跟随鼠标的虚线

你可以尝试添加以下代码来实现跟随鼠标的虚线：

import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots()

# 假设你已经有了名为 new_name_lst、x_list、y_list 和 list3 的变量
ax.plot(new_name_lst, x_list, label='velocity_x')
ax.plot(new_name_lst, y_list, label='velocity_y')
ax.plot(new_name_lst, list3, label='velocity')

leg = ax.legend(loc='upper left', fancybox=True, shadow=True)
leg.get_frame().set_alpha(0.5)
lines = [l for l in ax.lines]
lined = dict()
for legline, origline in zip(leg.get_lines(), lines):
    legline.set_picker(True)
    lined[legline] = origline

def onpick(event):
    legline = event.artist
    origline = lined[legline]
    visible = not origline.get_visible()
    origline.set_visible(visible)
    if visible:
        legline.set_alpha(1.0)
    else:
        legline.set_alpha(0.2)
    fig.canvas.draw()

    # 添加跟随鼠标的虚线
    if isinstance(event.artist, plt.Line2D):
        xdata = event.artist.get_xdata()
        ydata = event.artist.get_ydata()
        x = event.mouseevent.xdata
        y = event.mouseevent.ydata
        idx = np.searchsorted(xdata, x)
        if idx < len(xdata) and abs(x - xdata[idx]) > abs(x - xdata[idx-1]):
            idx -= 1
        if idx >= len(xdata) or idx == 0:
            return
        x = xdata[idx]
        y = ydata[idx]
        if not hasattr(ax, 'vline'):
            ax.vline = ax.axvline(x=x, color='k', linestyle='--')
        else:
            ax.vline.set_xdata([x, x])
            ax.vline.set_ydata([min(y, ax.get_ylim()[1]), max(y, ax.get_ylim()[0])])

fig.canvas.mpl_connect('pick_event', onpick)
plt.show()

这个代码会在图形中添加一个跟随鼠标的垂直虚线，当鼠标拾取到某个线条时，虚线会跟随鼠标移动到该线条上。

fig, ax1 = plt.subplots() ax1.plot(train_losses, label='Train Loss') ax1.plot(train_accs, label='Train Acc') ax1.set_ylim([0, 1]) ax1.yaxis.set_major_locator(y_major_locator) ax1.set_xlabel('Epoch') ax1.set_ylabel('Loss/Accuracy') ax1.legend() 使两条曲线线条有差别

要使两条曲线线条有差别，可以使用不同的颜色、线型或标记。以下是一些示例代码：

1. 使用不同的颜色：

fig, ax1 = plt.subplots()
ax1.plot(train_losses, label='Train Loss', color='red')
ax1.plot(train_accs, label='Train Acc', color='blue')
ax1.set_ylim([0, 1])
ax1.yaxis.set_major_locator(y_major_locator)
ax1.set_xlabel('Epoch')
ax1.set_ylabel('Loss/Accuracy')
ax1.legend()

2. 使用不同的线型：

fig, ax1 = plt.subplots()
ax1.plot(train_losses, label='Train Loss', linestyle='--')
ax1.plot(train_accs, label='Train Acc', linestyle=':')
ax1.set_ylim([0, 1])
ax1.yaxis.set_major_locator(y_major_locator)
ax1.set_xlabel('Epoch')
ax1.set_ylabel('Loss/Accuracy')
ax1.legend()

3. 使用不同的标记：

fig, ax1 = plt.subplots()
ax1.plot(train_losses, label='Train Loss', marker='o')
ax1.plot(train_accs, label='Train Acc', marker='s')
ax1.set_ylim([0, 1])
ax1.yaxis.set_major_locator(y_major_locator)
ax1.set_xlabel('Epoch')
ax1.set_ylabel('Loss/Accuracy')
ax1.legend()

你可以根据自己的需求选择其中一种或多种方法。