pandas.DataFrame.from_items

classmethod DataFrame.from_items(items, columns=None, orient='columns')

Convert (key, value) pairs to DataFrame. The keys will be the axis index (usually the columns, but depends on the specified orientation). The values should be arrays or Series

Parameters :

items : sequence of (key, value) pairs

Values should be arrays or Series

columns : sequence, optional

Must be passed in the

orient : {‘columns’, ‘index’}, default ‘items’

The “orientation” of the data. If the keys of the passed dict should be the items of the result panel, pass ‘items’ (default). Otherwise if the columns of the values of the passed DataFrame objects should be the items (which in the case of mixed-dtype data you should do), instead pass ‘minor’

Returns :

frame : DataFrame