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

DatetimeIndex.hour The hours of the datetime

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

MultiIndex.size return the number of elements in the underlying data

DataFrame.as_blocks(copy=True) [source] Convert the frame to a dict of dtype -> Constructor Types that each has a homogeneous dtype. NOTE: the dtypes of the blocks WILL BE PRESERVED HERE (unlike in as_matrix) Parameters: copy : boolean, default True Returns: values : a dict of dtype -> Constructor Types

MultiIndex.transpose(*args, **kwargs) [source] return the transpose, which is by definition self

CategoricalIndex.is_monotonic_increasing return if the index is monotonic increasing (only equal or increasing) values.

Series.equals(other) [source] Determines if two NDFrame objects contain the same elements. NaNs in the same location are considered equal.

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

TimedeltaIndex.is_monotonic_decreasing return if the index is monotonic decreasing (only equal or decreasing) values.