matplotlib-在绘制时间序列中跳过无数据区间

matplotlib-在绘制时间序列中跳过无数据区间

主要参考：
https://blog.youkuaiyun.com/tpoy0099/article/details/49511907
https://blog.youkuaiyun.com/norsd/article/details/41020117

import numpy as np
import pandas as pd
from datetime import *
import matplotlib.pyplot as plt
import matplotlib.ticker asa mtk


# 一般性可用的方法：
# 输入 axis, 
# x轴数据（type为DF or list）
# y轴数据（type为DF or list）
def decorateAx(ax, xs, ys):
    def x_fmt_func(x, pos=None):
        idx = np.clip(int(x + 0.5), 0, len(xs) - 1)
        return xs[idx]
    idx_pxy = np.arange(len(xs))
    ax.plot(idx_pxy, ys, linewidth=1, linestyle="-")
    ax.plot(ax.get_xlim(), [0, 0], color="blue", linewidth=0.5, linestyle="--")
    ax.xaxis.set_major_formatter(mtk.FuncFormatter(x_fmt_func))
    ax.grid(True)
    return

df = pd.read_csv('./data.csv')
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
decorateAx(ax1, df.index, df['Pnl'].cumsum())
decorateAx(ax2, list(df.index)[-100:], df.loc[-100:, 'Pnl'].cumsum())