要在同一个图表上绘制多个数据集，您可以尝试如下：

# Import the Matplotlib library
import matplotlib.pyplot as plt

# Prepare the data for the first dataset
x1 = [1, 2, 3, 4]  # x-values
y1 = [10, 20, 25, 30]  # y-values

# Prepare the data for the second dataset
x2 = [1, 2, 3, 4]  # x-values
y2 = [5, 10, 15, 20]  # y-values

# Create a figure and an axis
fig, ax = plt.subplots()

# Plot the first dataset on the axis
ax.plot(x1, y1,  # x and y values
        color='r',  # line color
        linestyle='--',  # line style
        label='dataset 1')  # label for the legend

# Plot the second dataset on the axis
ax.plot(x2, y2,  # x and y values
        color='b',  # line color
        linestyle='-',  # line style
        label='dataset 2')  # label for the legend

# Add a legend to the plot
ax.legend()

# Add labels to the x and y axes
ax.set_xlabel('X axis')
ax.set_ylabel('Y axis')

# Add a title to the plot
ax.set_title('Multiple datasets')

# Show the plot
plt.show()

这将创建一个带有两条线的图表，每条线对应一个数据集，具有不同的颜色和线条样式。
图例将用相应的数据集标记每一行。

试试这个：

import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns

ax1 = sns.set_style(style=None, rc=None )

fig, ax1 = plt.subplots(figsize=(12,6))

sns.lineplot(data = df,x='Stock', y='Traded', marker='o', sort = False, ax=ax1)
ax2 = ax1.twinx()

sns.barplot(data = df, x='Stock', y='Quantity', alpha=0.5, ax=ax2)