Matplotlib中x轴标签的频率和旋转 [英] Frequency and rotation of x-axis labels in Matplotlib
问题描述
我在下面编写了一个简单的脚本,以使用matplotlib生成图形.我想将x-tick频率从每月增加到每周,并旋转标签.我不确定从x轴频率开始.我的旋转线产生错误:TypeError: set_xticks() got an unexpected keyword argument 'rotation'
.对于旋转,我不希望使用 plt.xticks(rotation=70)
,因为我最终可能会构建多个子图,其中一些应该有一个旋转轴,一些不应该.
I wrote a simple script below to generate a graph with matplotlib. I would like to increase the x-tick frequency from monthly to weekly and rotate the labels. I'm not sure where to start with the x-axis frequency. My rotation line yields an error: TypeError: set_xticks() got an unexpected keyword argument 'rotation'
. For the rotation, I'd prefer not to use plt.xticks(rotation=70)
as I may eventually build in multiple subplots, some of which should have a rotated axis and some which should not.
import datetime
import matplotlib
import matplotlib.pyplot as plt
from datetime import date, datetime, timedelta
def date_increments(start, end, delta):
curr = start
while curr <= end:
yield curr
curr += delta
x_values = [[res] for res in date_increments(date(2014, 1, 1), date(2014, 12, 31), timedelta(days=1))]
print len(x_values)
y_values = [x**2 for x in range(len(x_values))]
print len(y_values)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x_values, y_values)
ax.set_xticks(rotation=70)
plt.show()
推荐答案
查看 matplotlib.dates
,尤其是 这个例子.
滴答频率
你可能想要做这样的事情:
You will probably want to do something like this:
from matplotlib.dates import DateFormatter, DayLocator, MonthLocator
days = DayLocator()
months = MonthLocator()
months_f = DateFormatter('%m')
ax.xaxis.set_major_locator(months)
ax.xaxis.set_minor_locator(days)
ax.xaxis.set_major_formatter(months_f)
ax.xaxis_date()
这会将天绘制为次要刻度,将月份绘制为主要刻度,并标有月份编号.
This will plot days as minor ticks and months as major ticks, labelled with the month number.
标签旋转
您可以使用 plt.setp()
单独更改轴:
You can use plt.setp()
to change axes individually:
plt.setp(ax.get_xticklabels(), rotation=70, horizontalalignment='right')
希望这会有所帮助.
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