Matplotlib,绘制 pandas 系列:AttributeError:'tuple'对象没有属性'xaxis' [英] Matplotlib, plotting pandas series: AttributeError: 'tuple' object has no attribute 'xaxis'
问题描述
我正在绘制Pandas系列数据,该数据记录了1981年每周的事件"总数.该系列的名称为"weekly_data".
I am plotting Pandas Series data, which records the sum of "events" each week in 1981. The series is named 'weekly_data'.
1981-03-16 1826
1981-03-23 1895
1981-03-30 1964
1981-04-06 1978
1981-04-13 2034
1981-04-20 2073
1981-04-27 2057
dtype: int64
我想按年和按周打勾.当我尝试绘制此图时,我收到AttributeError:
I would like to place ticks by year, and by week. When I try to plot this, I receive an AttributeError:
fig = plt.figure(figsize=(12,5))
ax = plt.subplots(111)
plt.plot(weekly_data, color = 'green' )
yloc = YearLocator()
mloc = MonthLocator()
ax.xaxis.set_major_locator(yloc)
ax.xaxis.set_minor_locator(mloc)
ax.grid(True)
plt.show()
错误是
AttributeError Traceback (most recent call last)
<ipython-input-92-843dbab30ed7> in <module>()
6 yloc = YearLocator()
7 mloc = MonthLocator()
----> 8 ax.xaxis.set_major_locator(yloc)
9 ax.xaxis.set_minor_locator(mloc)
10 ax.grid(True)
AttributeError: 'tuple' object has no attribute 'xaxis'
我该如何解决?
在Mike Mueller之后,上面的错误是plt.subplot(111)
.但是,我仍然无法每周工作.也许我们需要使用ax.set_xticks(major_ticks)
或ax.set_xticks(minor_ticks, minor=True)
Following Mike Mueller, the error above was plt.subplot(111)
. However, I still cannot get weekly ticks to work. Perhaps we need to use ax.set_xticks(major_ticks)
or ax.set_xticks(minor_ticks, minor=True)
这是我从1991年开始绘制的熊猫系列数据
Here is the pandas series data I am plotting from 1991
Datetime
1990-12-23 1980
1990-12-30 1860
1991-01-06 1761
1991-01-13 1792
1991-01-20 1825
....
dtype: int64
这是代码
fig = plt.figure(figsize=(12,5))
ax = plt.subplot(111)
plt.plot(weekly_data1991, color = 'green' )
yloc = YearLocator()
mloc = MonthLocator()
ax.xaxis.set_major_locator(yloc)
ax.xaxis.set_minor_locator(mloc)
ax.grid(True)
plt.show()
这是情节输出
我很困惑
推荐答案
您正在创建111个子图.更改:
You are creating 111 subplots. Change:
ax = plt.subplots(111)
进入:
ax = plt.subplot(111)
,您应该可以使用.它创建一个由一行,一列和一个子图组成的子图数组.例如,这:
and you it should work. It creates one subplot array of one row, one column, and one subplot. For example, this:
plt.subplot(231)
plt.subplot(236)
在2行3列的数组中创建子图1和子图6:
creates subplot 1 and subplot 6 in array of 2 rows and 3 columns:
您可以通过以下方式显示月份:
You make the months visible with:
ax.xaxis.set_minor_formatter(matplotlib.dates.DateFormatter('%B'))
每月的第一个年月彼此叠加打印.一种解决方案是将年份放在顶部,将月份放在底部:
Th year an the month are printed on top of each other. One solution is to have the years on the top and the months on bottom:
ax.xaxis.set_tick_params(labeltop='on', labelbottom='off')
使用:
mloc = matplotlib.dates.MonthLocator(range(1, 12, 4))
仅每四个月显示一次.
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