pandas 图时间序列['numpy.ndarray'对象没有属性'find'] [英] pandas plot time series ['numpy.ndarray' object has no attribute 'find']
问题描述
我有以下代码尝试绘制时间序列.注意，我删除第二列，因为它不相关.然后我删除第一行和最后一行.
I have the following code attempting to plot a timeseries. Note, I drop the second column because it's not relevant. And I drop the first and last rows.
import pandas as pd
activity = pd.read_csv('activity.csv', index_col=2)
activity = activity.ix[1:-1] #drop first and last rows due to invalid data
series = activity['activity']
series.plot()
我收到以下错误:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-10-36df40c11065> in <module>()
----> 1 series.plot()
.../pandas/tools/plotting.pyc in plot_series(series, label, kind, use_index,
rot, xticks, yticks, xlim, ylim,
ax, style, grid, logy,
secondary_y, **kwds)
1326 secondary_y=secondary_y, **kwds)
1327
-> 1328 plot_obj.generate()
1329 plot_obj.draw()
1330
.../pandas/tools/plotting.pyc in generate(self)
573 self._compute_plot_data()
574 self._setup_subplots()
--> 575 self._make_plot()
576 self._post_plot_logic()
577 self._adorn_subplots()
.../pandas/tools/plotting.pyc in _make_plot(self)
916 args = (ax, x, y, style)
917
--> 918 newline = plotf(*args, **kwds)[0]
919 lines.append(newline)
920 leg_label = label
.../matplotlib/axes.pyc in plot(self, *args, **kwargs)
3991 lines = []
3992
-> 3993 for line in self._get_lines(*args, **kwargs):
3994 self.add_line(line)
3995 lines.append(line)
.../matplotlib>/axes.pyc in _grab_next_args(self, *args, **kwargs)
328 return
329 if len(remaining) <= 3:
--> 330 for seg in self._plot_args(remaining, kwargs):
331 yield seg
332 return
.../matplotlib/axes.pyc in _plot_args(self, tup, kwargs)
287 ret = []
288 if len(tup) > 1 and is_string_like(tup[-1]):
--> 289 linestyle, marker, color = _process_plot_format(tup[-1])
290 tup = tup[:-1]
291 elif len(tup) == 3:
.../matplotlib/axes.pyc in _process_plot_format(fmt)
94 # handle the multi char special cases and strip them from the
95 # string
---> 96 if fmt.find('--')>=0:
97 linestyle = '--'
98 fmt = fmt.replace('--', '')
AttributeError: 'numpy.ndarray' object has no attribute 'find'
如果我尝试使用较小的数据集，例如:
If I try it with a small dataset such as:
target, weekday, timestamp
0, Sat, 08 Dec 2012 16:26:26:625000
0, Sat, 08 Dec 2012 16:26:27:625000
0, Sat, 08 Dec 2012 16:26:28:625000
0, Sat, 08 Dec 2012 16:26:29:625000
1, Sat, 08 Dec 2012 16:26:30:625000
2, Sat, 08 Dec 2012 16:26:31:625000
0, Sat, 08 Dec 2012 16:26:32:625000
0, Sat, 08 Dec 2012 16:26:33:625000
1, Sat, 08 Dec 2012 16:26:34:625000
2, Sat, 08 Dec 2012 16:26:35:625000
它可以工作，但不适用于我的完整数据集. https://dl.dropbox.com/u/60861504/activity.csv
另外，我尝试使用数据集中的前10个项目进行测试，并得到了相同的错误，但是如果我手动分配一个值series[10] = 5，则会显示该图.我很困惑.
it works, but not on my full dataset. https://dl.dropbox.com/u/60861504/activity.csv
Also I tried it with the first 10 items from my dataset and got the same error, but if I assign one value manually series[10] = 5 the plot shows up. I'm stumped.
推荐答案
根据我的经验，这是由于数据框中的非数字列而发生的.
In my experience this happens because of non numeric columns in the dataframe.
pd.read_csv尝试推断列的数据类型-我怀疑您损坏的列可能会混淆此过程，并且您最终在数据框中出现非数字类型的列
pd.read_csv tries to infer datatype of the columns - I suspect your corrupted columns might be confusing this process and you end up with columns of non numeric types in your data frame
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