在matplotlib中的X(时间，不是数字)频率上更改刻度频率 [英] Change tick frequency on X (time, not number) frequency in matplotlib

问题描述

我的python图数据仅在x轴上显示2个点.

我想拥有更多，但不知道如何.

x = [ datetime.datetime(1900,1,1,0,1,2),
      datetime.datetime(1900,1,1,0,1,3),
      ...
      ]                                            # ( more than 1000 elements )
y = [ 34, 33, 23, ............ ]

plt.plot( x, y )

X轴仅显示2个间隔点.我尝试使用.xticks，但不适用于X轴. 它给出了以下错误:

TypeError: object of type 'datetime.datetime' has no len()

解决方案

无论是什么原因，默认情况下您只会获得2个滴答声，您都可以使用日期定位器来更改滴答声定位器，以进行修正(自定义).

import matplotlib.pyplot as plt
import matplotlib.dates as mdates

x = [ datetime.datetime(1900,1,1,0,1,2),
      datetime.datetime(1900,1,1,0,1,3),
      ...
      ]                                            # ( more than 1000 elements )
y = [ 34, 33, 23, ............ ]

fig = plt.figure()
ax = fig.add_subplot(1,1,1)  
plt.plot( x, y )

ax.xaxis.set_major_locator(mdates.MinuteLocator(interval=15))   #to get a tick every 15 minutes
ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))     #optional formatting 

您有几个定位器(例如:DayLocator，WeekdayLocator，MonthLocator等)在文档中对其进行了阅读:

http://matplotlib.org/api/dates_api.html

但是也许这个例子会有所帮助:

http://matplotlib.org/examples/api/date_demo.html

My python plot data only show 2 points on x axis.

I would like to have more, but don't know how.

x = [ datetime.datetime(1900,1,1,0,1,2),
      datetime.datetime(1900,1,1,0,1,3),
      ...
      ]                                            # ( more than 1000 elements )
y = [ 34, 33, 23, ............ ]

plt.plot( x, y )

The X axis only shows 2 points of interval. I tried to use .xticks but didn't work for X axis. It gave the below error:

TypeError: object of type 'datetime.datetime' has no len()

解决方案

Whatever reason it is you are getting 2 ticks only by default, you can fix it (customise it) by changing the ticker locator using a date locator.

import matplotlib.pyplot as plt
import matplotlib.dates as mdates

x = [ datetime.datetime(1900,1,1,0,1,2),
      datetime.datetime(1900,1,1,0,1,3),
      ...
      ]                                            # ( more than 1000 elements )
y = [ 34, 33, 23, ............ ]

fig = plt.figure()
ax = fig.add_subplot(1,1,1)  
plt.plot( x, y )

ax.xaxis.set_major_locator(mdates.MinuteLocator(interval=15))   #to get a tick every 15 minutes
ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))     #optional formatting 

You have several locators (for example: DayLocator, WeekdayLocator, MonthLocator, etc.) read about it in the documentation:

http://matplotlib.org/api/dates_api.html

But maybe this example will help more:

http://matplotlib.org/examples/api/date_demo.html

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