pandas.DataFrame.from_items
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classmethod DataFrame.from_items(items, columns=None, orient='columns')
[source] -
Construct a dataframe from a list of tuples
Deprecated since version 0.23.0:
from_items
is deprecated and will be removed in a future version. UseDataFrame.from_dict(dict(items))
instead.DataFrame.from_dict(OrderedDict(items))
may be used to preserve the key order.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’.
Returns: -
frame : DataFrame
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.DataFrame.from_items.html