classmethod DataFrame.from_items(items, columns=None, orient='columns')
[source]
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 of column labels, optional Must be passed if orient=’index’. orient : {‘columns’, ‘index’}, default ‘columns’ The “orientation” of the data. If the keys of the input correspond to column labels, pass ‘columns’ (default). Otherwise if the keys correspond to the index, pass ‘index’. |
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Returns: |
frame : DataFrame |
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http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.from_items.html