Index.strides return the strides of the underlying data

Series.reindex_axis(labels, axis=0, **kwargs) [source] for compatibility with higher dims

CategoricalIndex.ndim return the number of dimensions of the underlying data, by definition 1

TimedeltaIndex.get_loc(key, method=None, tolerance=None) [source] Get integer location for requested label Returns: loc : int

CategoricalIndex.is_object() [source]

DatetimeIndex.names

Index.is_type_compatible(kind) [source]

DataFrame.to_latex(buf=None, columns=None, col_space=None, header=True, index=True, na_rep='NaN', formatters=None, float_format=None, sparsify=None, index_names=True, bold_rows=True, column_format=None, longtable=None, escape=None, encoding=None, decimal='.') [source] Render a DataFrame to a tabular environment table. You can splice this into a LaTeX document. Requires usepackage{booktabs}. to_latex-specific options: bold_rows : boolean, default TrueMake the row labels bold in the output co

CategoricalIndex.min(*args, **kwargs) [source] The minimum value of the object. Only ordered Categoricals have a minimum! Returns: min : the minimum of this Categorical Raises: TypeError If the Categorical is not ordered.

MultiIndex.levels