REF: Call the pandas DataFrame constructor with the same data

Call the pandas DataFrame constructor with the same data instead of
copying.

Fixes:
```
nireports/tests/test_reportlets.py::test_plot_raincloud[True-v]
nireports/tests/test_reportlets.py::test_plot_raincloud[False-h]
nireports/tests/test_reportlets.py::test_plot_raincloud[False-v]
nireports/tests/test_reportlets.py::test_plot_raincloud[True-h]
  /home/runner/work/nireports/nireports/nireports/reportlets/nuisance.py:1108: SettingWithCopyWarning:
  A value is trying to be set on a copy of a slice from a DataFrame

  See the caveats in the documentation:
 https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
    df_clip[feature] = df[feature].clip(lower=lower_limit_value, upper=upper_limit_value)
```

raised for example in:
https://github.com/nipreps/nireports/actions/runs/16604968354/job/46974298946?pr=157#step:14:476

Author: jhlegarreta

nireports/reportlets/nuisance.py

@@ -1104,8 +1104,8 @@ def plot_raincloud(
 
     df = pd.read_csv(data_file, sep=r"[\t\s]+", engine="python")
 
-    df_clip = df.copy(deep=True)
-    df_clip[feature] = df[feature].clip(lower=lower_limit_value, upper=upper_limit_value)
+    df_clip = pd.DataFrame(df, copy=True)
+    df_clip[feature] = df_clip[feature].clip(lower=lower_limit_value, upper=upper_limit_value)
 
     figure = figure if figure is not None else plt.figure(figsize=(7, 5))
     gs = GridSpec(1, 1)