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POComplicated (for me) reshaping from wide to long in Pandas
 

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    <p>Individuals (indexed from 0 to 5) choose between two locations: A and B. My data has a wide format containing characteristics that vary by individual (ind_var) and characteristics that vary only by location (location_var).</p> <p>For example, I have:</p> <pre><code>In [281]: df_reshape_test = pd.DataFrame( {'location' : ['A', 'A', 'A', 'B', 'B', 'B'], 'dist_to_A' : [0, 0, 0, 50, 50, 50], 'dist_to_B' : [50, 50, 50, 0, 0, 0], 'location_var': [10, 10, 10, 14, 14, 14], 'ind_var': [3, 8, 10, 1, 3, 4]}) df_reshape_test Out[281]: dist_to_A dist_to_B ind_var location location_var 0 0 50 3 A 10 1 0 50 8 A 10 2 0 50 10 A 10 3 50 0 1 B 14 4 50 0 3 B 14 5 50 0 4 B 14 </code></pre> <p>The variable 'location' is the one chosen by the individual. dist_to_A is the distance to location A from the location chosen by the individual (same thing with dist_to_B)</p> <p>I'd like my data to have this form:</p> <pre><code> choice dist_S ind_var location location_var 0 1 0 3 A 10 0 0 50 3 B 14 1 1 0 8 A 10 1 0 50 8 B 14 2 1 0 10 A 10 2 0 50 10 B 14 3 0 50 1 A 10 3 1 0 1 B 14 4 0 50 3 A 10 4 1 0 3 B 14 5 0 50 4 A 10 5 1 0 4 B 14 </code></pre> <p>where choice == 1 indicates individual has chosen that location and dist_S is the distance from the location chosen.</p> <p>I read about the <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.stack.html" rel="noreferrer" title=".stack">.stack</a> method but couldn't figure out how to apply it for this case. Thanks for your time!</p> <p>NOTE: this is just a simple example. The datasets I'm looking have varying numbers of location and number of individuals per location, so I'm looking for a flexible solution if possible</p>
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