完整代码如下:
```python
import pandas as pd
import matplotlib.pyplot as plt
# Load the data into a DataFrame
data = pd.read_csv("https://raw.githubusercontent.com/lazyprogrammer/machine_learning_examples/master/tf2.0/sbux.csv")
# Create a figure and axis
fig, ax = plt.subplots()
# Add a scatter plot of "Volume" vs. "Adj Close"
ax.scatter(data["Volume"], data["Adj Close"])
# Set the x-axis label to "Volume"
ax.set_xlabel("Volume")
# Set the y-axis label to "Adjusted Closing Price"
ax.set_ylabel("Adjusted Closing Price")
# Show the plot
plt.show()
```
你可以将其复制到 Python 环境中运行。