upgrade style (#38)

Author: xadupre

_doc/examples/first_step.py

@@ -7,6 +7,7 @@
 pandas to pandas_streaming
 ++++++++++++++++++++++++++
 """
+
 import glob
 from pandas import DataFrame
 from pandas_streaming.df import StreamingDataFrame

_doc/sg_execution_times.rst

@@ -0,0 +1,37 @@
+
+:orphan:
+
+.. _sphx_glr_sg_execution_times:
+
+
+Computation times
+=================
+**00:00.000** total execution time for 1 file **from all galleries**:
+
+.. container::
+
+  .. raw:: html
+
+    <style scoped>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+    <link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+    </style>
+    <script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+    <script type="text/javascript" class="init">
+    $(document).ready( function () {
+        $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+    } );
+    </script>
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_auto_examples_first_step.py` (``examples/first_step.py``)
+     - 00:00.000
+     - 0.0

_unittests/ut_df/test_dataframe_helpers_simple.py

@@ -23,9 +23,11 @@ def test_unfold(self):
 
         # fold
         folded = df2.groupby("a").apply(
-            lambda row: ",".join(row["b_unfold"].dropna())
-            if len(row["b_unfold"].dropna()) > 0
-            else numpy.nan
+            lambda row: (
+                ",".join(row["b_unfold"].dropna())
+                if len(row["b_unfold"].dropna()) > 0
+                else numpy.nan
+            )
         )
         bf = folded.reset_index(drop=False)
         bf.columns = ["a", "b"]

pandas_streaming/df/dataframe_helpers.py

@@ -475,9 +475,9 @@ def pandas_groupby_nan(
                                 ):  # pylint: disable=C0200
                                     if new_index[i] == key:
                                         new_index[i] = numpy.nan
-                                res.grouper.groupings[0]._cache[
-                                    "result_index"
-                                ] = index.__class__(new_index)
+                                res.grouper.groupings[0]._cache["result_index"] = (
+                                    index.__class__(new_index)
+                                )
                             else:
                                 raise NotImplementedError(  # pragma: no cover
                                     "NaN values not implemented for multiindex."