From a5bab23aea84d9fa25a576cc0d33a9dff25b92b4 Mon Sep 17 00:00:00 2001
From: jrycw <jerry@ycwu.space>
Date: Wed, 18 Sep 2024 07:04:11 +0800
Subject: [PATCH 1/2] Refactor import statements in `_formats.py`

---
 great_tables/_formats.py | 16 ++--------------
 1 file changed, 2 insertions(+), 14 deletions(-)

diff --git a/great_tables/_formats.py b/great_tables/_formats.py
index 68882e30e..3744bad50 100644
--- a/great_tables/_formats.py
+++ b/great_tables/_formats.py
@@ -1,6 +1,8 @@
 from __future__ import annotations
 
 import math
+import re
+from dataclasses import dataclass
 from datetime import date, datetime, time
 from decimal import Decimal
 from pathlib import Path
@@ -3476,9 +3478,6 @@ def fmt_image(
     return fmt(self, fns=formatter.to_html, columns=columns, rows=rows)
 
 
-from dataclasses import dataclass
-
-
 @dataclass
 class FmtImage:
     dispatch_on: DataFrameLike | Agnostic = Agnostic()
@@ -3492,8 +3491,6 @@ class FmtImage:
     SPAN_TEMPLATE: ClassVar = '<span style="white-space:nowrap;">{}</span>'
 
     def to_html(self, val: Any):
-        from pathlib import Path
-
         # TODO: are we assuming val is a string? (or coercing?)
 
         # otherwise...
@@ -3561,8 +3558,6 @@ def _get_image_uri(cls, filename: str) -> str:
 
     @staticmethod
     def _get_mime_type(filename: str) -> str:
-        from pathlib import Path
-
         # note that we strip off the leading "."
         suffix = Path(filename).suffix[1:]
 
@@ -3969,8 +3964,6 @@ def _generate_data_vals(
         list[Any]: A list of data values.
     """
 
-    import re
-
     if is_series(data_vals):
         data_vals = to_list(data_vals)
 
@@ -4063,8 +4056,6 @@ def _process_number_stream(data_vals: str) -> list[float]:
         list[float]: A list of numeric values.
     """
 
-    import re
-
     number_stream = re.sub(r"[;,]", " ", data_vals)
     number_stream = re.sub(r"\\[|\\]", " ", number_stream)
     number_stream = re.sub(r"^\\s+|\\s+$", "", number_stream)
@@ -4075,9 +4066,6 @@ def _process_number_stream(data_vals: str) -> list[float]:
     return number_stream
 
 
-import re
-
-
 def _process_time_stream(data_vals: str) -> list[float]:
     """
     Process a string of time values and convert to a list of floats.

From e91bbaa873450b256d51c74e4cb49642af8b46c9 Mon Sep 17 00:00:00 2001
From: jrycw <jerry@ycwu.space>
Date: Wed, 18 Sep 2024 07:27:08 +0800
Subject: [PATCH 2/2] Add `Returns` section to the doc for `GT.fmt_image()` and
 `GT.fmt_nanoplot()`

---
 great_tables/_formats.py | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/great_tables/_formats.py b/great_tables/_formats.py
index 3744bad50..317aaa029 100644
--- a/great_tables/_formats.py
+++ b/great_tables/_formats.py
@@ -3428,6 +3428,12 @@ def fmt_image(
         The option to always use Base64 encoding for image paths that are determined to be local. By
         default, this is `True`.
 
+    Returns
+    -------
+    GT
+        The GT object is returned. This is the same object that the method is called on so that we
+        can facilitate method chaining.
+
     Examples
     --------
     Using a small portion of `metro` dataset, let's create a new table. We will only include a few
@@ -3656,6 +3662,12 @@ def fmt_nanoplot(
         By using the [`nanoplot_options()`](`great_tables.nanoplot_options`) helper function here,
         you can alter the layout and styling of the nanoplots in the new column.
 
+    Returns
+    -------
+    GT
+        The GT object is returned. This is the same object that the method is called on so that we
+        can facilitate method chaining.
+
     Details
     -------
     Nanoplots try to show individual data with reasonably good visibility. Interactivity is included