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ENH: Added index param to to_dict #46398 #46780

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1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.5.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -95,6 +95,7 @@ Other enhancements
- :meth:`pd.concat` now raises when ``levels`` is given but ``keys`` is None (:issue:`46653`)
- :meth:`pd.concat` now raises when ``levels`` contains duplicate values (:issue:`46653`)
- Added ``numeric_only`` argument to :meth:`DataFrame.corr`, :meth:`DataFrame.corrwith`, and :meth:`DataFrame.cov` (:issue:`46560`)
- Added ``index`` parameter to :meth:`DataFrame.to_dict` (:issue:`46398`)

.. ---------------------------------------------------------------------------
.. _whatsnew_150.notable_bug_fixes:
Expand Down
89 changes: 64 additions & 25 deletions pandas/core/frame.py
Original file line number Diff line number Diff line change
Expand Up @@ -1771,7 +1771,7 @@ def to_numpy(

return result

def to_dict(self, orient: str = "dict", into=dict):
def to_dict(self, orient: str = "dict", into=dict, index=True):
"""
Convert the DataFrame to a dictionary.

Expand Down Expand Up @@ -1807,6 +1807,11 @@ def to_dict(self, orient: str = "dict", into=dict):
instance of the mapping type you want. If you want a
collections.defaultdict, you must pass it initialized.

index : bool default True
When set to False, method returns a dict without an index key
(and index_names if using orient='tight'). Can only be False
when orient='split' or 'tight'.

Returns
-------
dict, list or collections.abc.Mapping
Expand Down Expand Up @@ -1909,43 +1914,77 @@ def to_dict(self, orient: str = "dict", into=dict):
elif orient.startswith("i"):
orient = "index"

if not index and orient not in ['split', 'tight']:
raise ValueError(
"'index=False' is only valid when 'orient' is 'split' or 'tight"
)

if orient == "dict":
return into_c((k, v.to_dict(into)) for k, v in self.items())

elif orient == "list":
return into_c((k, v.tolist()) for k, v in self.items())

elif orient == "split":
return into_c(
(
("index", self.index.tolist()),
("columns", self.columns.tolist()),
if not index:
return into_c(
(
"data",
[
list(map(maybe_box_native, t))
for t in self.itertuples(index=False, name=None)
],
),
("columns", self.columns.tolist()),
(
"data",
[
list(map(maybe_box_native, t))
for t in self.itertuples(index=False, name=None)
],
),
)
)
else:
return into_c(
(
("index", self.index.tolist()),
("columns", self.columns.tolist()),
(
"data",
[
list(map(maybe_box_native, t))
for t in self.itertuples(index=False, name=None)
],
),
)
)
)

elif orient == "tight":
return into_c(
(
("index", self.index.tolist()),
("columns", self.columns.tolist()),
if not index:
return into_c(
(
("columns", self.columns.tolist()),
(
"data",
[
list(map(maybe_box_native, t))
for t in self.itertuples(index=False, name=None)
],
),
("column_names", list(self.columns.names)),
)
)
else:
return into_c(
(
"data",
[
list(map(maybe_box_native, t))
for t in self.itertuples(index=False, name=None)
],
),
("index_names", list(self.index.names)),
("column_names", list(self.columns.names)),
("index", self.index.tolist()),
("columns", self.columns.tolist()),
(
"data",
[
list(map(maybe_box_native, t))
for t in self.itertuples(index=False, name=None)
],
),
("index_names", list(self.index.names)),
("column_names", list(self.columns.names)),
)
)
)

elif orient == "series":
return into_c((k, v) for k, v in self.items())
Expand Down
13 changes: 13 additions & 0 deletions pandas/tests/frame/methods/test_to_dict.py
Original file line number Diff line number Diff line change
Expand Up @@ -344,3 +344,16 @@ def test_to_dict_orient_tight(self, index, columns):
roundtrip = DataFrame.from_dict(df.to_dict(orient="tight"), orient="tight")

tm.assert_frame_equal(df, roundtrip)

def test_to_dict_index_orient_split(self):
df = DataFrame.from_dict({"a": [1, 3, 4], "b": [9, 11, 12]})
result = df.to_dict(orient='split', index=False)
expected = {'columns': ['a', 'b'], 'data': [[1, 9], [3, 11], [4, 12]]}
assert (result == expected)

def test_to_dict_index_orient_tight(self):
df = DataFrame.from_dict({"a": [1, 3, 4], "b": [9, 11, 12]})
result = df.to_dict(orient='split', index=False)
expected = {'columns': ['a', 'b'], 'data': [
[1, 9], [3, 11], [4, 12]], 'column_names': [None]}
assert (result == expected)