matplotlib画折线图，并以时间作为横轴

代码：

#!usr/bin/env python
# -*- coding: utf-8 -*-
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime
import matplotlib.dates as mdates
from dateutil import parser

base_dir = 'd:/Pattern/'
input_base_dir = base_dir + 'data_graph_save/'

fileName = input_base_dir + 'output_6.csv'
data = pd.read_csv(fileName)
data_date_str = data.iloc[:, 0]
data_date = list(map(parser.parse, data_date_str))
data_cma = data.iloc[:, 1]
data_ecmwf = data.iloc[:, 2]
data_jma = data.iloc[:, 3]
data_ncep = data.iloc[:, 4]
data_mean = data.iloc[:, 5]
data_true = data.iloc[:, 6]
data_predict = data.iloc[:, 7]

plt.figure(figsize=(13,7), dpi=80)
plt.subplot(1,1,1)
# 绘制余弦曲线，使用蓝色的、连续的、宽度为 1 （像素）的线条
plt.plot(data_date, data_predict, color='blue', linewidth=1.0, linestyle='-', label='predict')
plt.plot(data_date, data_true, color='red', linewidth=1.0, linestyle='-', label='observation')
plt.plot(data_date, data_cma, color='green', linewidth=1.0, linestyle='-', label='babj')
plt.plot(data_date, data_ecmwf, color='yellow', linewidth=1.0, linestyle='-', label='ecmf')
plt.plot(data_date, data_jma, color='purple', linewidth=1.0, linestyle='-', label='rjtd')
plt.plot(data_date, data_ncep, color='orange', linewidth=1.0, linestyle='-', label='kwbc')
plt.plot(data_date, data_mean, color='pink', linewidth=1.0, linestyle='-', label='mean')
# 显示图示
plt.legend()


# 配置横坐标
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%m/%d/%Y'))
plt.gca().xaxis.set_major_locator(mdates.MonthLocator())    # 按月显示,按日显示的话，将MonthLocator()改成DayLocator()
plt.gcf().autofmt_xdate()  # 自动旋转日期标记
plt.title('Temperation constraction')
plt.savefig('temper.png')
plt.show()

结果如下图所示。