Using Python 3.4, Pandas 0.15 and Statsmodels 0.6.0, I try to create a mosaic plot from a dataframe as described in the Statsmodels documentation. However, I just don't understand how the input has to be formatted that is provided to the mosaic()
function.
Given a simple dataframe:
In:
myDataframe = pd.DataFrame({'size' : ['small', 'large', 'large', 'small', 'large', 'small'], 'length' : ['long', 'short', 'short', 'long', 'long', 'short']})
Out:
length size
0 long small
1 short large
2 short large
3 long small
4 long large
5 short small
When trying to create a mosaic plot of this data:
from statsmodels.graphics.mosaicplot import mosaic
mosaic(data=myDataframe, title='Mosaic Plot')
gives ValueError: cannot label index with a null key
As mosaic plots are a visualization of contingency tables, I tried to create such first with
In:
myCrosstable = pd.crosstab(myDataframe['size'], myDataframe['length'])
Out:
length long short
size
large 1 2
small 2 1
Still, using myCrosstable
as data argument gives the same error.
How does the dataframe have to be formatted in order to get accepted by the mosaic()
function? The documentation says as explanation for the data argument:
Parameters:
data : dict, pandas.Series, np.ndarray, pandas.DataFrame
The contingency table that contains the data. Each category should contain a non-negative number with a tuple as index.
Isn't that what the pd.crosstab
function returns? If not, how can I convert the dataframe accordingly?