有什么方法可以在 python 上同时调用和可视化列 Adj Close 之外的更多内容？

如何解决有什么方法可以在 python 上同时调用和可视化列 Adj Close 之外的更多内容？

我已经完成了这部分代码，但我希望能够添加更多列，例如成交量、开盘价、最高价。

import pandas as pd
import numpy as np
from datetime import datetime
import matplotlib.pyplot as plt
plt.style.use("fivethirtyeight")
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
assets = ["LAC","NIO"]
weights = np.array([0.5,0.5])
stockStartDate = "2016-01-01"
today = datetime.today().strftime("%Y-%m-%d")
today
df = pd.DataFrame()
for stock in assets:
    df[stock] = web.DataReader(stock,data_source ="yahoo",start = stockStartDate,end = today)["Adj Close"]

解决方法

不太确定你想做什么，但本质上如果你想灵活地可视化更多的变量，将数据保存为长格式会更容易，一列（我在下面使用了stock）表示数据来源：

import pandas as pd
import numpy as np
import pandas_datareader.data as web
import datetime

assets = ["LAC","NIO"]
stockStartDate = "2016-01-01"
today = datetime.date.today().strftime("%Y-%m-%d")

df = []
for stock in assets:
    x = web.DataReader(stock,data_source ="yahoo",start = stockStartDate,end = today)
    x['stock'] = stock
    df.append(x)

df = pd.concat(df)

然后动态旋转它以进行绘图：

df.pivot(values='High',columns='stock').plot.line()

或者使用seaborn：

import seaborn as sns
sns.lineplot(x = df.index,y = "High",hue = 'stock',data=df)