Run pre-commit hooks

lincc-frameworks · May 16, 2024 · c05b465 · c05b465
1 parent 9d9c057
commit c05b465
Showing 1 changed file with 9 additions and 10 deletions.
diff --git a/docs/tutorials/data_loading_notebook.ipynb b/docs/tutorials/data_loading_notebook.ipynb
@@ -98,8 +98,8 @@
     "# You can of course remove this and use your own directory and real files on your system.\n",
     "with tempfile.TemporaryDirectory() as temp_path:\n",
     "    # Generates parquet files with random data within our temporary directorye.\n",
-    "    generate_parquet_file(10, {\"nested1\" :100, \"nested2\": 10}, temp_path, file_per_layer=True)\n",
-    "    \n",
+    "    generate_parquet_file(10, {\"nested1\": 100, \"nested2\": 10}, temp_path, file_per_layer=True)\n",
+    "\n",
     "    # Read each individual parquet file into its own dataframe.\n",
     "    base_df = read_parquet(os.path.join(temp_path, \"base.parquet\"))\n",
     "    nested1 = read_parquet(os.path.join(temp_path, \"nested1.parquet\"))\n",
@@ -112,8 +112,7 @@
     "            \"nested1\": os.path.join(temp_path, \"nested1.parquet\"),\n",
     "            \"nested2\": os.path.join(temp_path, \"nested2.parquet\"),\n",
     "        },\n",
-    "    )\n",
-    "    "
+    "    )"
    ]
   },
   {
@@ -209,8 +208,8 @@
     "# You can of course remove this and use your own directory and real files on your system.\n",
     "with tempfile.TemporaryDirectory() as temp_path:\n",
     "    nf.to_parquet(\n",
-    "        temp_path, # The directory to save our output parquet files.\n",
-    "        by_layer=True # Save each layer of the NestedFrame to its own parquet file.\n",
+    "        temp_path,  # The directory to save our output parquet files.\n",
+    "        by_layer=True,  # Save each layer of the NestedFrame to its own parquet file.\n",
     "    )\n",
     "\n",
     "    # List the files in temp_path to ensure they were saved correctly.\n",
@@ -225,7 +224,7 @@
     "        },\n",
     "    )\n",
     "\n",
-    "restored_nf # our dataframe is restored from our saved parquet files"
+    "restored_nf  # our dataframe is restored from our saved parquet files"
    ]
   },
   {
@@ -252,8 +251,8 @@
     "with tempfile.TemporaryDirectory() as temp_path:\n",
     "    output_path = os.path.join(temp_path, \"output.parquet\")\n",
     "    nf.to_parquet(\n",
-    "        output_path, # The filename to save our NestedFrame to.\n",
-    "        by_layer=False # Save the entire NestedFrame to a single parquet file.\n",
+    "        output_path,  # The filename to save our NestedFrame to.\n",
+    "        by_layer=False,  # Save the entire NestedFrame to a single parquet file.\n",
     "    )\n",
     "\n",
     "    # List the files within our temp_path to ensure that we only saved a single parquet file.\n",
@@ -262,7 +261,7 @@
     "    # Read the NestedFrame back in from our saved single parquet file.\n",
     "    restored_nf_single_file = read_parquet(output_path)\n",
     "\n",
-    "restored_nf_single_file # our dataframe is restored from a single saved parquet file"
+    "restored_nf_single_file  # our dataframe is restored from a single saved parquet file"
    ]
   }
  ],