Panel.where(cond, other=nan, inplace=False, axis=None, level=None, try_cast=False, raise_on_error=True) [source] Return an object of same shape as self and whose corresponding entries are from self where cond is True and otherwise are from other. Parameters: cond : boolean NDFrame, array or callable If cond is callable, it is computed on the NDFrame and should return boolean NDFrame or array. The callable must not change input NDFrame (though pandas doesn?t check it). New in version 0.18

Panel.reindex_axis(labels, axis=0, method=None, level=None, copy=True, limit=None, fill_value=nan) [source] Conform input object to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. A new object is produced unless the new index is equivalent to the current one and copy=False Parameters: labels : array-like New labels / index to conform to. Preferably an Index object to avoid duplicating data axis : {0, 1, 2, ?items?, ?major_axis?, ?

DatetimeIndex.any(other=None) [source]

MultiIndex.nbytes = None

DataFrame.ftypes Return the ftypes (indication of sparse/dense and dtype) in this object.

HDFStore.get(key) [source] Retrieve pandas object stored in file Parameters: key : object Returns: obj : type of object stored in file

DataFrame.ge(other, axis='columns', level=None) [source] Wrapper for flexible comparison methods ge

MultiIndex.argsort(*args, **kwargs) [source]

Panel.is_copy = None

Resampler.interpolate(method='linear', axis=0, limit=None, inplace=False, limit_direction='forward', downcast=None, **kwargs) [source] Interpolate values according to different methods. New in version 0.18.1. Please note that only method='linear' is supported for DataFrames/Series with a MultiIndex. Parameters: method : {?linear?, ?time?, ?index?, ?values?, ?nearest?, ?zero?, ?slinear?, ?quadratic?, ?cubic?, ?barycentric?, ?krogh?, ?polynomial?, ?spline?, ?piecewise_polynomial?, ?from_