目次へ
IPython 2 では ggplot が動いていたと思う。IPython 3 にアップデートして ggplot のテストしたところ geom_histogram() のところでエラーが発生するようになった。 調べているが対処法が見つからない。備忘録として整理しておこうと思う。
現在、Stackoverflow に質問。その後、開発者より回答があった。
ggplot と pandas のバージョンの違いが原因している。 pandas を 0.15.2 にもどすか、近々リリース予定の ggplot を待つことです。
It's a incompatibility between newer pandas and ggplot. Either fix it yourself (it's just a replacement of "row" to "index": github.com/yhat/ggplot/issues/417#issuecomment-118152169) or downgrade to an older pandas version. OR wait for a newer ggplot version, which could take a while :-( – Jan Schulz Aug 16 at 12:02
A python plotting library emulating R's ggplot2
環境
$ ipython
Python 2.7.10 |Anaconda 2.0.1 (64-bit)| (default, May 28 2015, 17:02:03)
IPython 3.1.0 -- An enhanced Interactive Python.
Anaconda is brought to you by Continuum Analytics.>ggplot installation
conda install -c https://conda.binstar.org/bokeh ggplotError message
# coding: utf-8
# In[1]:
get_ipython().run_cell_magic(u'bash', u'', u'ipython --version')
# In[2]:
get_ipython().magic(u'pylab inline')
# In[3]:
import pandas as pd
a = [1, 1, 2, 1, 1, 4, 5, 6]
df = pd.DataFrame(a, columns=['a'])
# In[4]:
from ggplot import *
# In[5]:
p = ggplot(aes(x='a'), data=df)
p + geom_histogram(binwidth=1)
# Out[5]
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/home/satouy/anaconda/lib/python2.7/site-packages/IPython/core/formatters.pyc in __call__(self, obj)
688 type_pprinters=self.type_printers,
689 deferred_pprinters=self.deferred_printers)
--> 690 printer.pretty(obj)
691 printer.flush()
692 return stream.getvalue()
/home/satouy/anaconda/lib/python2.7/site-packages/IPython/lib/pretty.pyc in pretty(self, obj)
405 if callable(meth):
406 return meth(obj, self, cycle)
--> 407 return _default_pprint(obj, self, cycle)
408 finally:
409 self.end_group()
/home/satouy/anaconda/lib/python2.7/site-packages/IPython/lib/pretty.pyc in _default_pprint(obj, p, cycle)
525 if _safe_getattr(klass, '__repr__', None) not in _baseclass_reprs:
526 # A user-provided repr. Find newlines and replace them with p.break_()
--> 527 _repr_pprint(obj, p, cycle)
528 return
529 p.begin_group(1, '<')
/home/satouy/anaconda/lib/python2.7/site-packages/IPython/lib/pretty.pyc in _repr_pprint(obj, p, cycle)
707 """A pprint that just redirects to the normal repr function."""
708 # Find newlines and replace them with p.break_()
--> 709 output = repr(obj)
710 for idx,output_line in enumerate(output.splitlines()):
711 if idx:
/home/satouy/anaconda/lib/python2.7/site-packages/ggplot/ggplot.pyc in __repr__(self)
109 def __repr__(self):
110 """Print/show the plot"""
--> 111 figure = self.draw()
112 # We're going to default to making the plot appear when __repr__ is
113 # called.
/home/satouy/anaconda/lib/python2.7/site-packages/ggplot/ggplot.pyc in draw(self)
305
306 data = self._make_plot_data(data, _aes)
--> 307 callbacks = geom.plot_layer(data, ax)
308 if callbacks:
309 for callback in callbacks:
/home/satouy/anaconda/lib/python2.7/site-packages/ggplot/geoms/geom.pyc in plot_layer(self, data, ax)
115 _cols = set(data.columns) & set(self.manual_aes)
116 data = data.drop(_cols, axis=1)
--> 117 data = self._calculate_stats(data)
118 self._verify_aesthetics(data)
119 _needed = self.valid_aes | self._extra_requires
/home/satouy/anaconda/lib/python2.7/site-packages/ggplot/geoms/geom.pyc in _calculate_stats(self, data)
276 new_data = new_data.append(_data, ignore_index=True)
277 else:
--> 278 new_data = self._stat._calculate(data)
279
280 return new_data
/home/satouy/anaconda/lib/python2.7/site-packages/ggplot/stats/stat_bin.pyc in _calculate(self, data)
125 })
126 _wfreq_table = pd.pivot_table(_df, values='weights',
--> 127 rows=['assignments'], aggfunc=np.sum)
128
129 # For numerical x values, empty bins get have no value
TypeError: pivot_table() got an unexpected keyword argument 'rows'
# In[6]:
p = ggplot(aes(x='a'), data=df)
(p + geom_histogram(binwidth=1)).draw()
# Out[6]
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
in ()
1 p = ggplot(aes(x='a'), data=df)
----> 2 (p + geom_histogram(binwidth=1)).draw()
/home/satouy/anaconda/lib/python2.7/site-packages/ggplot/ggplot.pyc in draw(self)
305
306 data = self._make_plot_data(data, _aes)
--> 307 callbacks = geom.plot_layer(data, ax)
308 if callbacks:
309 for callback in callbacks:
/home/satouy/anaconda/lib/python2.7/site-packages/ggplot/geoms/geom.pyc in plot_layer(self, data, ax)
115 _cols = set(data.columns) & set(self.manual_aes)
116 data = data.drop(_cols, axis=1)
--> 117 data = self._calculate_stats(data)
118 self._verify_aesthetics(data)
119 _needed = self.valid_aes | self._extra_requires
/home/satouy/anaconda/lib/python2.7/site-packages/ggplot/geoms/geom.pyc in _calculate_stats(self, data)
276 new_data = new_data.append(_data, ignore_index=True)
277 else:
--> 278 new_data = self._stat._calculate(data)
279
280 return new_data
/home/satouy/anaconda/lib/python2.7/site-packages/ggplot/stats/stat_bin.pyc in _calculate(self, data)
125 })
126 _wfreq_table = pd.pivot_table(_df, values='weights',
--> 127 rows=['assignments'], aggfunc=np.sum)
128
129 # For numerical x values, empty bins get have no value
TypeError: pivot_table() got an unexpected keyword argument 'rows'
# In[ ]:
その後
- IPython は進化して Jupyter になった。 ggplot は IPython 3 に対応してないように思う。 (間違い)
- ggplot と pandas のバージョンの違いが原因している。 pandas を 0.15.2 にもどすか、近々リリース予定の ggplot を待つことです。
- ggplot を学ぶことが目的ならば次の方法がある。
- RStudio + ggplot2
- IPython + rpy2 + ggplot2
- Mathematica + RLink + ggplot2
