CategoricalIndex.holds_integer() [source]

DatetimeIndex.is_year_end Logical indicating if last day of year (defined by frequency)

pandas.read_excel(io, sheetname=0, header=0, skiprows=None, skip_footer=0, index_col=None, names=None, parse_cols=None, parse_dates=False, date_parser=None, na_values=None, thousands=None, convert_float=True, has_index_names=None, converters=None, true_values=None, false_values=None, engine=None, squeeze=False, **kwds) [source] Read an Excel table into a pandas DataFrame Parameters: io : string, path object (pathlib.Path or py._path.local.LocalPath), file-like object, pandas ExcelFile, or

Panel4D.to_dense() [source] Return dense representation of NDFrame (as opposed to sparse)

pandas provides various facilities for easily combining together Series, DataFrame, and Panel objects with various kinds of set logic for the indexes and relational algebra functionality in the case of join / merge-type operations. Concatenating objects The concat function (in the main pandas namespace) does all of the heavy lifting of performing concatenation operations along an axis while performing optional set logic (union or intersection) of the indexes (if any) on the other axes. Note t

Panel.blocks Internal property, property synonym for as_blocks()

Panel4D.get_values() [source] same as values (but handles sparseness conversions)

Series.real

TimedeltaIndex.itemsize return the size of the dtype of the item of the underlying data

CategoricalIndex.is_floating() [source]