[英]How to plot a pandas multiindex dataFrame with all xticks
I have a pandas dataFrame like this: 我有一个像这样的pandas dataFrame:
content
date
2013-12-18 12:30:00 1
2013-12-19 10:50:00 1
2013-12-24 11:00:00 0
2014-01-02 11:30:00 1
2014-01-03 11:50:00 0
2013-12-17 16:40:00 10
2013-12-18 10:00:00 0
2013-12-11 10:00:00 0
2013-12-18 11:45:00 0
2013-12-11 14:40:00 4
2010-05-25 13:05:00 0
2013-11-18 14:10:00 0
2013-11-27 11:50:00 3
2013-11-13 10:40:00 0
2013-11-20 10:40:00 1
2008-11-04 14:49:00 1
2013-11-18 10:05:00 0
2013-08-27 11:00:00 0
2013-09-18 16:00:00 0
2013-09-27 11:40:00 0
date being the index. 日期是索引。 I reduce the values to months using:
我使用以下方法将值减少到几个月:
dataFrame = dataFrame.groupby([lambda x: x.year, lambda x: x.month]).agg([sum])
which outputs: 哪个输出:
content
sum
2006 3 66
4 65
5 48
6 87
7 37
8 54
9 73
10 74
11 53
12 45
2007 1 28
2 40
3 95
4 63
5 56
6 66
7 50
8 49
9 18
10 28
Now when I plot this dataFrame, I want the x-axis show every month/year as a tick. 现在,当我绘制这个dataFrame时,我希望每个月/每年的x轴显示为勾选。 I have tries setting xticks but it doesn't seem to work.
我尝试设置xticks但它似乎不起作用。 How could this be achieved?
怎么能实现这一目标? This is my current plot using dataFrame.plot():
这是我目前使用dataFrame.plot()的情节:
You can use set_xtick()
and set_xticklabels()
: 您可以使用
set_xtick()
和set_xticklabels()
:
idx = pd.date_range("2013-01-01", periods=1000)
val = np.random.rand(1000)
s = pd.Series(val, idx)
g = s.groupby([s.index.year, s.index.month]).mean()
ax = g.plot()
ax.set_xticks(range(len(g)));
ax.set_xticklabels(["%s-%02d" % item for item in g.index.tolist()], rotation=90);
output: 输出:
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