实现功能：

python绘制双坐标系（双变量）时间序列图。

实现代码：

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import pandas as pd

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import numpy as np

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import matplotlib.pyplot as plt

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# Import Data

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df = pd.read_csv("F:\数据杂坛\datasets\economics.csv")

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x = df['date']

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y1 = df['psavert']

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y2 = df['unemploy']

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# Plot Line1 (Left Y Axis)

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fig, ax1 = plt.subplots(1, 1, figsize=(12, 6), dpi=100)

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ax1.plot(x, y1, color='tab:red')

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# Plot Line2 (Right Y Axis)

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ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis

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ax2.plot(x, y2, color='tab:blue')

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# Decorations

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# ax1 (left Y axis)

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ax1.set_xlabel('Year', fontsize=18)

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ax1.tick_params(axis='x', rotation=70, labelsize=12)

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ax1.set_ylabel('Personal Savings Rate', color='#dc2624', fontsize=16)

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ax1.tick_params(axis='y', rotation=0, labelcolor='#dc2624')

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ax1.grid(alpha=.4)

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# ax2 (right Y axis)

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ax2.set_ylabel("Unemployed (1000's)", color='#01a2d9', fontsize=16)

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ax2.tick_params(axis='y', labelcolor='#01a2d9')

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ax2.set_xticks(np.arange(0, len(x), 60))

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ax2.set_xticklabels(x[::60], rotation=90, fontdict={'fontsize': 10})

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ax2.set_title(

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"Personal Savings Rate vs Unemployed: Plotting in Secondary Y Axis",

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fontsize=18)

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fig.tight_layout()

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plt.show()

实现效果：

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