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| from collections import OrderedDict
|
| import numpy as np
| import pytest
|
| from pandas import (
| DataFrame,
| Index,
| MultiIndex,
| RangeIndex,
| Series,
| )
| import pandas._testing as tm
|
|
| class TestFromDict:
| # Note: these tests are specific to the from_dict method, not for
| # passing dictionaries to DataFrame.__init__
|
| def test_constructor_list_of_odicts(self):
| data = [
| OrderedDict([["a", 1.5], ["b", 3], ["c", 4], ["d", 6]]),
| OrderedDict([["a", 1.5], ["b", 3], ["d", 6]]),
| OrderedDict([["a", 1.5], ["d", 6]]),
| OrderedDict(),
| OrderedDict([["a", 1.5], ["b", 3], ["c", 4]]),
| OrderedDict([["b", 3], ["c", 4], ["d", 6]]),
| ]
|
| result = DataFrame(data)
| expected = DataFrame.from_dict(
| dict(zip(range(len(data)), data)), orient="index"
| )
| tm.assert_frame_equal(result, expected.reindex(result.index))
|
| def test_constructor_single_row(self):
| data = [OrderedDict([["a", 1.5], ["b", 3], ["c", 4], ["d", 6]])]
|
| result = DataFrame(data)
| expected = DataFrame.from_dict(dict(zip([0], data)), orient="index").reindex(
| result.index
| )
| tm.assert_frame_equal(result, expected)
|
| def test_constructor_list_of_series(self):
| data = [
| OrderedDict([["a", 1.5], ["b", 3.0], ["c", 4.0]]),
| OrderedDict([["a", 1.5], ["b", 3.0], ["c", 6.0]]),
| ]
| sdict = OrderedDict(zip(["x", "y"], data))
| idx = Index(["a", "b", "c"])
|
| # all named
| data2 = [
| Series([1.5, 3, 4], idx, dtype="O", name="x"),
| Series([1.5, 3, 6], idx, name="y"),
| ]
| result = DataFrame(data2)
| expected = DataFrame.from_dict(sdict, orient="index")
| tm.assert_frame_equal(result, expected)
|
| # some unnamed
| data2 = [
| Series([1.5, 3, 4], idx, dtype="O", name="x"),
| Series([1.5, 3, 6], idx),
| ]
| result = DataFrame(data2)
|
| sdict = OrderedDict(zip(["x", "Unnamed 0"], data))
| expected = DataFrame.from_dict(sdict, orient="index")
| tm.assert_frame_equal(result, expected)
|
| # none named
| data = [
| OrderedDict([["a", 1.5], ["b", 3], ["c", 4], ["d", 6]]),
| OrderedDict([["a", 1.5], ["b", 3], ["d", 6]]),
| OrderedDict([["a", 1.5], ["d", 6]]),
| OrderedDict(),
| OrderedDict([["a", 1.5], ["b", 3], ["c", 4]]),
| OrderedDict([["b", 3], ["c", 4], ["d", 6]]),
| ]
| data = [Series(d) for d in data]
|
| result = DataFrame(data)
| sdict = OrderedDict(zip(range(len(data)), data))
| expected = DataFrame.from_dict(sdict, orient="index")
| tm.assert_frame_equal(result, expected.reindex(result.index))
|
| result2 = DataFrame(data, index=np.arange(6, dtype=np.int64))
| tm.assert_frame_equal(result, result2)
|
| result = DataFrame([Series(dtype=object)])
| expected = DataFrame(index=[0])
| tm.assert_frame_equal(result, expected)
|
| data = [
| OrderedDict([["a", 1.5], ["b", 3.0], ["c", 4.0]]),
| OrderedDict([["a", 1.5], ["b", 3.0], ["c", 6.0]]),
| ]
| sdict = OrderedDict(zip(range(len(data)), data))
|
| idx = Index(["a", "b", "c"])
| data2 = [Series([1.5, 3, 4], idx, dtype="O"), Series([1.5, 3, 6], idx)]
| result = DataFrame(data2)
| expected = DataFrame.from_dict(sdict, orient="index")
| tm.assert_frame_equal(result, expected)
|
| def test_constructor_orient(self, float_string_frame):
| data_dict = float_string_frame.T._series
| recons = DataFrame.from_dict(data_dict, orient="index")
| expected = float_string_frame.reindex(index=recons.index)
| tm.assert_frame_equal(recons, expected)
|
| # dict of sequence
| a = {"hi": [32, 3, 3], "there": [3, 5, 3]}
| rs = DataFrame.from_dict(a, orient="index")
| xp = DataFrame.from_dict(a).T.reindex(list(a.keys()))
| tm.assert_frame_equal(rs, xp)
|
| def test_constructor_from_ordered_dict(self):
| # GH#8425
| a = OrderedDict(
| [
| ("one", OrderedDict([("col_a", "foo1"), ("col_b", "bar1")])),
| ("two", OrderedDict([("col_a", "foo2"), ("col_b", "bar2")])),
| ("three", OrderedDict([("col_a", "foo3"), ("col_b", "bar3")])),
| ]
| )
| expected = DataFrame.from_dict(a, orient="columns").T
| result = DataFrame.from_dict(a, orient="index")
| tm.assert_frame_equal(result, expected)
|
| def test_from_dict_columns_parameter(self):
| # GH#18529
| # Test new columns parameter for from_dict that was added to make
| # from_items(..., orient='index', columns=[...]) easier to replicate
| result = DataFrame.from_dict(
| OrderedDict([("A", [1, 2]), ("B", [4, 5])]),
| orient="index",
| columns=["one", "two"],
| )
| expected = DataFrame([[1, 2], [4, 5]], index=["A", "B"], columns=["one", "two"])
| tm.assert_frame_equal(result, expected)
|
| msg = "cannot use columns parameter with orient='columns'"
| with pytest.raises(ValueError, match=msg):
| DataFrame.from_dict(
| {"A": [1, 2], "B": [4, 5]},
| orient="columns",
| columns=["one", "two"],
| )
| with pytest.raises(ValueError, match=msg):
| DataFrame.from_dict({"A": [1, 2], "B": [4, 5]}, columns=["one", "two"])
|
| @pytest.mark.parametrize(
| "data_dict, orient, expected",
| [
| ({}, "index", RangeIndex(0)),
| (
| [{("a",): 1}, {("a",): 2}],
| "columns",
| Index([("a",)], tupleize_cols=False),
| ),
| (
| [OrderedDict([(("a",), 1), (("b",), 2)])],
| "columns",
| Index([("a",), ("b",)], tupleize_cols=False),
| ),
| ([{("a", "b"): 1}], "columns", Index([("a", "b")], tupleize_cols=False)),
| ],
| )
| def test_constructor_from_dict_tuples(self, data_dict, orient, expected):
| # GH#16769
| df = DataFrame.from_dict(data_dict, orient)
| result = df.columns
| tm.assert_index_equal(result, expected)
|
| def test_frame_dict_constructor_empty_series(self):
| s1 = Series(
| [1, 2, 3, 4], index=MultiIndex.from_tuples([(1, 2), (1, 3), (2, 2), (2, 4)])
| )
| s2 = Series(
| [1, 2, 3, 4], index=MultiIndex.from_tuples([(1, 2), (1, 3), (3, 2), (3, 4)])
| )
| s3 = Series(dtype=object)
|
| # it works!
| DataFrame({"foo": s1, "bar": s2, "baz": s3})
| DataFrame.from_dict({"foo": s1, "baz": s3, "bar": s2})
|
| def test_from_dict_scalars_requires_index(self):
| msg = "If using all scalar values, you must pass an index"
| with pytest.raises(ValueError, match=msg):
| DataFrame.from_dict(OrderedDict([("b", 8), ("a", 5), ("a", 6)]))
|
| def test_from_dict_orient_invalid(self):
| msg = (
| "Expected 'index', 'columns' or 'tight' for orient parameter. "
| "Got 'abc' instead"
| )
| with pytest.raises(ValueError, match=msg):
| DataFrame.from_dict({"foo": 1, "baz": 3, "bar": 2}, orient="abc")
|
|
