python使用pyplot绘制横轴为时间的图

import numpy as np
import matplotlib.pyplot as plt

from IPython import display
from datetime import datetime
from datetime import date

def myplot(x, y, label=None, xlimit=None, size=(9, 3),fileName=None):
    display.set_matplotlib_formats('svg')
    if len(x) == len(y):
        plt.figure(figsize=size)
        if xlimit and isinstance(xlimit, tuple):
            plt.xlim(xlimit)
        plt.plot(x, y, label=label)
        if label and isinstance(label, str):
            plt.legend()
        if fileName:
            plt.savefig(fileName)
        plt.show()
    else:
        raise ValueError("x 和 y 的长度不一致！")

time[0:10]
array([['2019-01-01 00:14:00'],
       ['2019-01-01 00:29:00'],
       ['2019-01-01 00:44:00'],
       ['2019-01-01 00:59:00'],
       ['2019-01-01 01:14:00'],
       ['2019-01-01 01:29:00'],
       ['2019-01-01 01:44:00'],
       ['2019-01-01 01:59:00'],
       ['2019-01-01 02:14:00'],
       ['2019-01-01 02:29:00']], dtype='<U19')

x_time= [datetime.strptime(d, '%Y-%m-%d %H:%M:%S') for d in time]  

myplot(x_time, y_num, label='car_num', 
       xlimit=(date(2019, 1, 1), date(2019, 1, 22) ),
       size=(12, 3),
       fileName='my_dataset-car-num.svg')

from matplotlib.dates import DateFormatter

def myplot(x, y, label=None, xlimit=None, size=(9, 3),fileName=None):
    display.set_matplotlib_formats('svg')
    if len(x) == len(y):
        plt.figure(figsize=size)
        if xlimit and isinstance(xlimit, tuple):
            plt.xlim(xlimit)
        plt.plot(x, y, label=label)
        if label and isinstance(label, str):
            plt.legend()
        if fileName:
            plt.savefig(fileName)
        # ======= 以下是新增代码
        ax = plt.gca()
        formatter = DateFormatter('%H:%M')
        ax.xaxis.set_major_formatter(formatter) # 设置时间显示格式   
        # ==============
        plt.show()
    else:
        raise ValueError("x 和 y 的长度不一致！")