您可以在Python中使用matplotlib库。

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

df = pd.read_csv('filename.csv', parse_dates=[0], index_col=[0])

dates = df.index.to_pydatetime()

upper_bounds = []
lower_bounds = []
for row in df.itertuples():
    values = row[1]
    if len(values) == 0:
        upper_bounds.append(np.nan)
        lower_bounds.append(np.nan)
    elif len(values) == 1:
        upper_bounds.append(values[0])
        lower_bounds.append(values[0])
    else:
        upper_bounds.append(max(values))
        lower_bounds.append(min(values))

plt.errorbar(dates, df.mean(axis=1), yerr=[df.mean(axis=1)-lower_bounds, upper_bounds-df.mean(axis=1)], fmt='o', capsize=4)

plt.xlabel('Date')
plt.ylabel('Value')
plt.show()