matplotlib条形图与日期 [英] matplotlib bar chart with dates

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本文介绍了matplotlib条形图与日期的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我知道 plot_date(),但是有没有一个 bar_date()在那里?



一般的方法是使用 set_xticks set_xticklabels d喜欢可以处理从几个小时到几年的时间尺度的东西(这意味着涉及主要和次要刻度,以使我可以理解的东西)。



编辑:我意识到我正在绘制与特定时间间隔相关联的值(该栏横跨)。我在下面更新了我使用的基本解决方案:

  import matplotlib.pyplot as plt 
import datetime
t = [datetime.datetime(2010,12,2,22,0),datetime.datetime(2010,12,2,23,0),datetime.datetime(2010,12,10,0,0),datetime.datetime (2010,12,10,6,0)]
y = [4,6,9,3]
interval = 1.0 / 24.0#1hr间隔,但maplotlib日期的基数为1天
ax = plt.subplot(111)
ax.bar(t,y,width = interval)
ax.xaxis_date()
plt.show()


解决方案

所有 plot_date 是绘制函数和调用 ax.xaxis_date()



您应该需要做的是:

  import numpy as np 
import matplotlib.pyplot一个s plt
import datetime

x = [datetime.datetime(2010,12,1,10,0),
datetime.datetime(2011,1,4,9,0 )
datetime.datetime(2011,5,5,9,0)]
y = [4,9,2]

ax = plt.subplot(111)
ax.bar(x,y,width = 10)
ax.xaxis_date()

plt.show()
pre>


I know about plot_date() but is there a bar_date() out there?

The general method would be to use set_xticks and set_xticklabels, but I'd like something that can handle time scales from a few hours out to a few years (this means involving the major and minor ticks to make things readable I think).

Edit: I realized that I am plotting values associated with a specific time interval (that the bar spans). I updated below with the basic solution I used:

import matplotlib.pyplot as plt  
import datetime  
t=[datetime.datetime(2010, 12, 2, 22, 0),datetime.datetime(2010, 12, 2, 23, 0),         datetime.datetime(2010, 12, 10, 0, 0),datetime.datetime(2010, 12, 10, 6, 0)]  
y=[4,6,9,3]  
interval=1.0/24.0  #1hr intervals, but maplotlib dates have base of 1 day  
ax = plt.subplot(111)  
ax.bar(t, y, width=interval)  
ax.xaxis_date()   
plt.show()

解决方案

All plot_date does is plot the function and the call ax.xaxis_date().

All you should need to do is this:

import numpy as np
import matplotlib.pyplot as plt
import datetime

x = [datetime.datetime(2010, 12, 1, 10, 0),
    datetime.datetime(2011, 1, 4, 9, 0),
    datetime.datetime(2011, 5, 5, 9, 0)]
y = [4, 9, 2]

ax = plt.subplot(111)
ax.bar(x, y, width=10)
ax.xaxis_date()

plt.show()

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