This is a short introduction to pandas, geared mainly for new users. You can see more complex recipes in the

DataFrame.iterrows()

Series.ne(other, level=None, fill_value=None, axis=0)

Index.fillna(value=None, downcast=None)

DataFrame.at_time(time, asof=False)

Panel4D.notnull()

Panel4D.keys()

CategoricalIndex.get_value(series, key)

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

Series.plot.area(**kwds)