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POpandas Timedelta error
 

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    <p>I'm getting errors when running the code samples from the pandas documentation. </p> <p>I suspect it might be related to the version of pandas I'm using, but I haven't been able to confirm that. </p> <pre><code>pandas VERSION 0.10.1 numpy VERSION 1.7.0 scipy VERSION 0.12.0.dev-14b1e07 </code></pre> <p>The below examples are taken directly from the pandas documentation here: </p> <p><a href="http://pandas.pydata.org/pandas-docs/dev/timeseries.html#time-deltas" rel="nofollow">pandas - Time Deltas</a><br> This works </p> <pre><code>from datetime import datetime, timedelta from pandas import * s = Series(date_range('2012-1-1', periods=3, freq='D')) s Out[52]: 0 2012-01-01 00:00:00 1 2012-01-02 00:00:00 2 2012-01-03 00:00:00 </code></pre> <p>as does this </p> <pre><code>td = Series([ timedelta(days=i) for i in range(3) ]) td Out[53]: 0 0:00:00 1 1 day, 0:00:00 2 2 days, 0:00:00 df = DataFrame(dict(A = s, B = td)) df Out[54]: A B 0 2012-01-01 00:00:00 0:00:00 1 2012-01-02 00:00:00 1 day, 0:00:00 2 2012-01-03 00:00:00 2 days, 0:00:00 </code></pre> <p>This seems to be consistent with the expected output according to the documentation. </p> <p>The next line in the sample code yields an error: </p> <pre><code>df['C'] = df['A'] + df['B'] </code></pre> <p>... </p> <pre><code>--------------------------------------------------------------------------- TypeError Traceback (most recent call last) &lt;ipython-input-55-7057e174d79e&gt; in &lt;module&gt;() ----&gt; 1 df['C'] = df['A'] + df['B'] /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/series.pyc in wrapper(self, other) 91 if self.index.equals(other.index): 92 name = _maybe_match_name(self, other) ---&gt; 93 return Series(wrap_results(na_op(lvalues, rvalues)), 94 index=self.index, name=name) 95 /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/series.pyc in na_op(x, y) 63 if isinstance(y, np.ndarray): 64 mask = notnull(x) &amp; notnull(y) ---&gt; 65 result[mask] = op(x[mask], y[mask]) 66 else: 67 mask = notnull(x) TypeError: ufunc add cannot use operands with types dtype('&lt;M8[ns]') and dtype('O') </code></pre> <p>Datatypes: </p> <pre><code>df.dtypes Out[56]: A datetime64[ns] B object </code></pre> <p>Similarly, I get an error when I do addition/subtraction:</p> <pre><code>s - s.max() &lt;ipython-input-57-8d53e24db927&gt; in &lt;module&gt;() ----&gt; 1 s - s.max() /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/series.pyc in wrapper(self, other) 78 79 if (com.is_datetime64_dtype(self) and ---&gt; 80 com.is_datetime64_dtype(other)): 81 lvalues = lvalues.view('i8') 82 rvalues = rvalues.view('i8') /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/common.pyc in is_datetime64_dtype(arr_or_dtype) 1003 tipo = arr_or_dtype.type 1004 else: -&gt; 1005 tipo = arr_or_dtype.dtype.type 1006 return issubclass(tipo, np.datetime64) 1007 AttributeError: 'Timestamp' object has no attribute 'dtype' </code></pre> <p>This code is in a gist for easy reference. </p> <p><a href="https://gist.github.com/hernamesbarbara/5061972" rel="nofollow">https://gist.github.com/hernamesbarbara/5061972</a></p> <p>Thanks for any help or suggestions; it is much appreciated.</p> <p>-Austin</p>
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