classmethod DataFrame.from_csv(path, header=0, sep=', ', index_col=0, parse_dates=True, encoding=None, tupleize_cols=False, infer_

DataFrame.mode(axis=0, numeric_only=False)

pandas provides various facilities for easily combining together Series, DataFrame, and Panel objects with various kinds of set logic for the indexes and relational

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

Cython (Writing C extensions for pandas) For many use cases writing pandas in pure python and numpy is sufficient. In some computationally

Series.str()

GroupBy.sem(ddof=1)

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

DataFrame.pivot(index=None, columns=None, values=None)

DataFrame.sort_index(axis=0, level=None, ascending=True, inplace=False, kind='quicksort', na_position='last', sort_remaining=True, by=None)