您可以将'Time'列设置为dataframe的索引：

df = df.set_index('Time')

然后你可以循环其余的列，并绘制它们相对于dataframe索引。为了使所有行都从0开始，你必须在每一列中减去索引为0的相应起始点：

for column in df.columns:
    ax.plot(df.index, df[column] - df.loc[0, column], label = column)

完整代码

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

df = pd.DataFrame()
df['Time'] = np.arange(0, 0.6, 0.1)
df['Jolt 1'] = np.random.rand(len(df['Time']))
df['Jolt 2'] = np.random.rand(len(df['Time'])) + np.random.randint(low = -5, high = 5)
df['Jolt 3'] = np.random.rand(len(df['Time'])) + np.random.randint(low = -5, high = 5)
df = df.set_index('Time')

fig, ax = plt.subplots()

for column in df.columns:
    ax.plot(df.index, df[column] - df.loc[0, column], label = column)

ax.legend(frameon = True)

plt.show()

Plot