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我的数据格式如下：

datetime, count
2011-01-01 00:00:00, 10
2011-01-01 01:00:00, 15
2011-01-01 02:00:00, 20
...

使用 ggplot，我想绘制以下 2 个图表：

  1. 计数随时间的变化
  2. 一天的计数变化

我能够通过将字符串转换为熊猫日期时间来绘制第一个

csv_file['datetime'] = pd.to_datetime(csv_file['datetime'])

然后使用 ggplot 绘制它。

对于第二个，我将日期时间转换为时间

csv_file['time'] = csv_file['datetime'].map(methodcaller('time'))

type(csv_file['time'][4]) = <type 'datetime.time'>

但是在绘图时，我收到了这个错误：

File "/Library/Python/2.7/site-packages/numpy-1.9.0.dev_297f54b-py2.7-macosx-10.9-intel.egg/numpy/core/numeric.py", line 460, in asarray
    return array(a, dtype, copy=False, order=order)
TypeError: float() argument must be a string or a number

绘图代码：

ggplot1 =  ggplot(aes(x='time', y='count'), data=csv_file) + \
        geom_point(color='lightblue') + \
        stat_smooth(span=.15, color='black', se=True) + \
        ggtitle("Test") + \
        xlab("time") + \
        ylab("count")

    ggplot1.draw()

头：

     datetime                time        count
0 2011-01-01 00:00:00      00:00:00       39
1 2011-01-01 01:00:00      01:00:00       40 
2 2011-01-01 02:00:00      02:00:00       10  
3 2011-01-01 03:00:00      03:00:00       14
4 2011-01-01 04:00:00      04:00:00       18

完整的堆栈跟踪：

File "hello.py", line 43, in <module>
    run()
  File "hello.py", line 41, in run
    ggplot1.draw()    
  File "/Library/Python/2.7/site-packages/ggplot/ggplot.py", line 305, in draw
    callbacks = geom.plot_layer(data, ax)
  File "/Library/Python/2.7/site-packages/ggplot/geoms/geom.py", line 115, in plot_layer
    data = self._calculate_stats(data)
  File "/Library/Python/2.7/site-packages/ggplot/geoms/geom.py", line 275, in _calculate_stats
    new_data = self._stat._calculate(data)
  File "/Library/Python/2.7/site-packages/ggplot/stats/stat_smooth.py", line 43, in _calculate
    x, y, y1, y2 = smoothers.lowess(x, y, span=span)
  File "/Library/Python/2.7/site-packages/ggplot/components/smoothers.py", line 53, in lowess
    result = smlowess(np.array(y), np.array(x), frac=span)
  File "/Library/Python/2.7/site-packages/statsmodels-0.6.0-py2.7-macosx-10.9-intel.egg/statsmodels/nonparametric/smoothers_lowess.py", line 128, in lowess
    exog = np.asarray(exog, float)
  File "/Library/Python/2.7/site-packages/numpy-1.9.0.dev_297f54b-py2.7-macosx-10.9-intel.egg/numpy/core/numeric.py", line 460, in asarray
    return array(a, dtype, copy=False, order=order)
TypeError: float() argument must be a string or a number
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