首页 > 解决方案 > Time format on x axis in Matplotlib

问题描述

The time on the x-axis must be represented with a time interval of 3 seconds but the increment of time in my data is 2 seconds. So, I tried to do that as demonstrated in the code, but I’m getting the time demonstrated until 09:56:09 though the time goes till 09:56:22.

Note that, the time should be start from 09:56:00

How can be the time on the x-axis completely demonstrated?

Code:

import matplotlib.pyplot as plt
import time
from datetime import datetime, timedelta
import numpy as np
import matplotlib.dates as mdates

SO=[100,300,600,800,850,310,560,790,500,810,790,490];the_date_0=['01-02-2018 09:56:00.0000','01-02-2018 09:56:02.0000',
                                                               '01-02-2018 09:56:04.0000','01-02-2018 09:56:06.0000',
                                                               '01-02-2018 09:56:08.0000','01-02-2018 09:56:10.0000',
                                                               '01-02-2018 09:56:12.0000','01-02-2018 09:56:14.0000',
                                                               '01-02-2018 09:56:16.0000','01-02-2018 09:56:18.0000',
                                                               '01-02-2018 09:56:20.0000','01-02-2018 09:56:22.0000']

the_date=[]
Date_axis=[]

for i in the_date_0:
    the_date.append(time.mktime(time.strptime(i, "%d-%m-%Y %H:%M:%S.0000")))

for i1 in range(0,len(the_date),3):
    time1=datetime.fromtimestamp(time.mktime(time.strptime("01-02-2018 09:56:00.0000", "%d-%m-%Y %H:%M:%S.0000")))+timedelta(seconds=i1)
    Date_axis.append(time.mktime(time1.timetuple()))

fig = plt.figure()
dateconv=np.vectorize(datetime.fromtimestamp)
Date_F=dateconv(the_date)
Date_axis_ok=dateconv(Date_axis)
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(Date_F,SO,'r-',label='the values')
ax1.set_yticks(range(0,1000,100))
ax1.set_xticks(Date_axis_ok)
ax1.xaxis.set_major_formatter(mdates.DateFormatter("%H:%M:%S"))
for label in ax1.xaxis.get_ticklabels():
    label.set_rotation(45)
ax1.grid(True)
plt.legend()
plt.show()

Graph enter image description here

标签: pythonpython-3.xmatplotlibplot

解决方案


问题出for looplen(the_date). 在您的代码中添加此部分:

from datetime import datetime, timedelta, date
duration = datetime.combine(date.min, datetime.strptime(the_date_0[-1], "%d-%m-%Y %H:%M:%S.0000").time()) - datetime.combine(date.min, datetime.strptime(the_date_0[0], "%d-%m-%Y %H:%M:%S.0000").time())
seconds = int(duration.total_seconds())

并以这种方式修改循环:

for i1 in range(0,seconds,3):

输出: 在此处输入图像描述


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