Add Result.to_df to export records as pandas DataFrame

docs/source/api.rst

@@ -804,14 +804,14 @@ A :class:`neo4j.Result` is attached to an active connection, through a :class:`n
 
     .. automethod:: graph
 
-       **This is experimental.** (See :ref:`filter-warnings-ref`)
-
     .. automethod:: value
 
     .. automethod:: values
 
     .. automethod:: data
 
+    .. automethod:: to_df
+
     .. automethod:: closed
 
 See https://neo4j.com/docs/python-manual/current/cypher-workflow/#python-driver-type-mapping for more about type mapping.
@@ -987,7 +987,7 @@ Path           :class:`neo4j.graph.Path`
 Node
 ====
 
-.. autoclass:: neo4j.graph.Node()
+.. autoclass:: neo4j.graph.Node
 
     .. describe:: node == other
 
@@ -1022,6 +1022,8 @@ Node
 
     .. autoattribute:: id
 
+    .. autoattribute:: element_id
+
     .. autoattribute:: labels
 
     .. automethod:: get
@@ -1036,7 +1038,7 @@ Node
 Relationship
 ============
 
-.. autoclass:: neo4j.graph.Relationship()
+.. autoclass:: neo4j.graph.Relationship
 
     .. describe:: relationship == other
 
@@ -1076,6 +1078,8 @@ Relationship
 
     .. autoattribute:: id
 
+    .. autoattribute:: element_id
+
     .. autoattribute:: nodes
 
     .. autoattribute:: start_node
@@ -1097,7 +1101,7 @@ Relationship
 Path
 ====
 
-.. autoclass:: neo4j.graph.Path()
+.. autoclass:: neo4j.graph.Path
 
     .. describe:: path == other
 

docs/source/async_api.rst

@@ -511,14 +511,14 @@ A :class:`neo4j.AsyncResult` is attached to an active connection, through a :cla
 
     .. automethod:: graph
 
-       **This is experimental.** (See :ref:`filter-warnings-ref`)
-
     .. automethod:: value
 
     .. automethod:: values
 
     .. automethod:: data
 
+    .. automethod:: to_df
+
     .. automethod:: closed
 
 See https://neo4j.com/docs/python-manual/current/cypher-workflow/#python-driver-type-mapping for more about type mapping.

neo4j/_async/work/result.py

@@ -20,11 +20,15 @@
 from warnings import warn
 
 from ..._async_compat.util import AsyncUtil
-from ...data import DataDehydrator
+from ...data import (
+    DataDehydrator,
+    RecordTableRowExporter,
+)
 from ...exceptions import (
     ResultConsumedError,
     ResultNotSingleError,
 )
+from ...meta import experimental
 from ...work import ResultSummary
 from ..io import ConnectionErrorHandler
 
@@ -455,6 +459,8 @@ async def graph(self):
             was obtained has been closed or the Result has been explicitly
             consumed.
 
+        **This is experimental.** (See :ref:`filter-warnings-ref`)
+
         .. versionchanged:: 5.0
             Can raise :exc:`ResultConsumedError`.
         """
@@ -519,6 +525,127 @@ async def data(self, *keys):
         """
         return [record.data(*keys) async for record in self]
 
+    @experimental("pandas support is experimental and might be changed or "
+                  "removed in future versions")
+    async def to_df(self, expand=False):
+        r"""Convert (the rest of) the result to a pandas DataFrame.
+
+        This method is only available if the `pandas` library is installed.
+
+        ::
+
+            res = await tx.run("UNWIND range(1, 10) AS n RETURN n, n+1 as m")
+            df = await res.to_df()
+
+        for instance will return a DataFrame with two columns: ``n`` and ``m``
+        and 10 rows.
+
+        :param expand: if :const:`True`, some structures in the result will be
+            recursively expanded (flattened out into multiple columns) like so
+            (everything inside ``<...>`` is a placeholder):
+
+            * :class:`.Node` objects under any variable ``<n>`` will be
+              expanded into columns (the recursion stops here)
+
+              * ``<n>().prop.<property_name>`` (any) for each property of the
+                node.
+              * ``<n>().element_id`` (str) the node's element id.
+                See :attr:`.Node.element_id`.
+              * ``<n>().labels`` (frozenset of str) the node's labels.
+                See :attr:`.Node.labels`.
+
+            * :class:`.Relationship` objects under any variable ``<r>``
+              will be expanded into columns (the recursion stops here)
+
+              * ``<r>->.prop.<property_name>`` (any) for each property of the
+                relationship.
+              * ``<r>->.element_id`` (str) the relationship's element id.
+                See :attr:`.Relationship.element_id`.
+              * ``<r>->.start.element_id`` (str) the relationship's
+                start node's element id.
+                See :attr:`.Relationship.start_node`.
+              * ``<r>->.end.element_id`` (str) the relationship's
+                end node's element id.
+                See :attr:`.Relationship.end_node`.
+              * ``<r>->.type`` (str) the relationship's type.
+                See :attr:`.Relationship.type`.
+
+            * :const:`list` objects under any variable ``<l>`` will be expanded
+              into
+
+              * ``<l>[].0`` (any) the 1st list element
+              * ``<l>[].1`` (any) the 2nd list element
+              * ...
+
+            * :const:`dict` objects under any variable ``<d>`` will be expanded
+              into
+
+              * ``<d>{}.<key1>`` (any) the 1st key of the dict
+              * ``<d>{}.<key2>`` (any) the 2nd key of the dict
+              * ...
+
+            * :const:`list` and :const:`dict` objects are expanded recursively.
+              Example::
+
+                variable x: [{"foo": "bar", "baz": [42, 0]}, "foobar"]
+
+              will be expanded to::
+
+                {
+                    "x[].0{}.foo": "bar",
+                    "x[].0{}.baz[].0": 42,
+                    "n[].0{}.baz[].1": 0,
+                    "n[].1": "foobar"
+                }
+
+            * Everything else (including :class:`.Path` objects) will not
+              be flattened.
+
+            :const:`dict` keys and variable names that contain ``.``  or ``\``
+            will be escaped with a backslash (``\.`` and ``\\`` respectively).
+        :type expand: bool
+
+        :rtype: :py:class:`pandas.DataFrame`
+        :raises ImportError: if `pandas` library is not available.
+        :raises ResultConsumedError: if the transaction from which this result
+            was obtained has been closed or the Result has been explicitly
+            consumed.
+
+        **This is experimental.**
+        ``pandas`` support might be changed or removed in future versions
+        without warning. (See :ref:`filter-warnings-ref`)
+        """
+        import pandas as pd
+
+        if not expand:
+            return pd.DataFrame(await self.values(), columns=self._keys)
+        else:
+            df_keys = None
+            rows = []
+            async for record in self:
+                row = RecordTableRowExporter().transform(dict(record.items()))
+                if df_keys == row.keys():
+                    rows.append(row.values())
+                elif df_keys is None:
+                    df_keys = row.keys()
+                    rows.append(row.values())
+                elif df_keys is False:
+                    rows.append(row)
+                else:
+                    # The rows have different keys. We need to pass a list
+                    # of dicts to pandas
+                    rows = [{k: v for k, v in zip(df_keys, r)} for r in rows]
+                    df_keys = False
+                    rows.append(row)
+            if df_keys is False:
+                return pd.DataFrame(rows)
+            else:
+                columns = df_keys or [
+                    k.replace(".", "\\.").replace("\\", "\\\\")
+                    for k in self._keys
+                ]
+                return pd.DataFrame(rows, columns=columns)
+
     def closed(self):
         """Return True if the result has been closed.
 

neo4j/_sync/work/result.py

@@ -20,11 +20,15 @@
 from warnings import warn
 
 from ..._async_compat.util import Util
-from ...data import DataDehydrator
+from ...data import (
+    DataDehydrator,
+    RecordTableRowExporter,
+)
 from ...exceptions import (
     ResultConsumedError,
     ResultNotSingleError,
 )
+from ...meta import experimental
 from ...work import ResultSummary
 from ..io import ConnectionErrorHandler
 
@@ -455,6 +459,8 @@ def graph(self):
             was obtained has been closed or the Result has been explicitly
             consumed.
 
+        **This is experimental.** (See :ref:`filter-warnings-ref`)
+
         .. versionchanged:: 5.0
             Can raise :exc:`ResultConsumedError`.
         """
@@ -519,6 +525,127 @@ def data(self, *keys):
         """
         return [record.data(*keys) for record in self]
 
+    @experimental("pandas support is experimental and might be changed or "
+                  "removed in future versions")
+    def to_df(self, expand=False):
+        r"""Convert (the rest of) the result to a pandas DataFrame.
+
+        This method is only available if the `pandas` library is installed.
+
+        ::
+
+            res = tx.run("UNWIND range(1, 10) AS n RETURN n, n+1 as m")
+            df = res.to_df()
+
+        for instance will return a DataFrame with two columns: ``n`` and ``m``
+        and 10 rows.
+
+        :param expand: if :const:`True`, some structures in the result will be
+            recursively expanded (flattened out into multiple columns) like so
+            (everything inside ``<...>`` is a placeholder):
+
+            * :class:`.Node` objects under any variable ``<n>`` will be
+              expanded into columns (the recursion stops here)
+
+              * ``<n>().prop.<property_name>`` (any) for each property of the
+                node.
+              * ``<n>().element_id`` (str) the node's element id.
+                See :attr:`.Node.element_id`.
+              * ``<n>().labels`` (frozenset of str) the node's labels.
+                See :attr:`.Node.labels`.
+
+            * :class:`.Relationship` objects under any variable ``<r>``
+              will be expanded into columns (the recursion stops here)
+
+              * ``<r>->.prop.<property_name>`` (any) for each property of the
+                relationship.
+              * ``<r>->.element_id`` (str) the relationship's element id.
+                See :attr:`.Relationship.element_id`.
+              * ``<r>->.start.element_id`` (str) the relationship's
+                start node's element id.
+                See :attr:`.Relationship.start_node`.
+              * ``<r>->.end.element_id`` (str) the relationship's
+                end node's element id.
+                See :attr:`.Relationship.end_node`.
+              * ``<r>->.type`` (str) the relationship's type.
+                See :attr:`.Relationship.type`.
+
+            * :const:`list` objects under any variable ``<l>`` will be expanded
+              into
+
+              * ``<l>[].0`` (any) the 1st list element
+              * ``<l>[].1`` (any) the 2nd list element
+              * ...
+
+            * :const:`dict` objects under any variable ``<d>`` will be expanded
+              into
+
+              * ``<d>{}.<key1>`` (any) the 1st key of the dict
+              * ``<d>{}.<key2>`` (any) the 2nd key of the dict
+              * ...
+
+            * :const:`list` and :const:`dict` objects are expanded recursively.
+              Example::
+
+                variable x: [{"foo": "bar", "baz": [42, 0]}, "foobar"]
+
+              will be expanded to::
+
+                {
+                    "x[].0{}.foo": "bar",
+                    "x[].0{}.baz[].0": 42,
+                    "n[].0{}.baz[].1": 0,
+                    "n[].1": "foobar"
+                }
+
+            * Everything else (including :class:`.Path` objects) will not
+              be flattened.
+
+            :const:`dict` keys and variable names that contain ``.``  or ``\``
+            will be escaped with a backslash (``\.`` and ``\\`` respectively).
+        :type expand: bool
+
+        :rtype: :py:class:`pandas.DataFrame`
+        :raises ImportError: if `pandas` library is not available.
+        :raises ResultConsumedError: if the transaction from which this result
+            was obtained has been closed or the Result has been explicitly
+            consumed.
+
+        **This is experimental.**
+        ``pandas`` support might be changed or removed in future versions
+        without warning. (See :ref:`filter-warnings-ref`)
+        """
+        import pandas as pd
+
+        if not expand:
+            return pd.DataFrame(self.values(), columns=self._keys)
+        else:
+            df_keys = None
+            rows = []
+            for record in self:
+                row = RecordTableRowExporter().transform(dict(record.items()))
+                if df_keys == row.keys():
+                    rows.append(row.values())
+                elif df_keys is None:
+                    df_keys = row.keys()
+                    rows.append(row.values())
+                elif df_keys is False:
+                    rows.append(row)
+                else:
+                    # The rows have different keys. We need to pass a list
+                    # of dicts to pandas
+                    rows = [{k: v for k, v in zip(df_keys, r)} for r in rows]
+                    df_keys = False
+                    rows.append(row)
+            if df_keys is False:
+                return pd.DataFrame(rows)
+            else:
+                columns = df_keys or [
+                    k.replace(".", "\\.").replace("\\", "\\\\")
+                    for k in self._keys
+                ]
+                return pd.DataFrame(rows, columns=columns)
+
     def closed(self):
         """Return True if the result has been closed.