Add dataframe viewer

src/viewer/pages/plot_sMRI_vars_study.py

@@ -101,6 +101,9 @@ def panel_incsv() -> None:
             )
             st.session_state.is_updated["csv_plot"] = False
 
+            # Show input data
+            st.dataframe(st.session_state.plot_var["df_data"])
+
 
 def panel_rename() -> None:
     """

src/viewer/pages/prep_sMRI_dicomtonifti.py

@@ -169,6 +169,9 @@ def panel_detect() -> None:
                 icon=":material/thumb_up:",
             )
 
+        with st.expander('Show dicom metadata', expanded=False):
+            st.dataframe(st.session_state.df_dicoms)
+
         @st.dialog("DICOM Series Detection")  # type:ignore
         def help_detect_series():
             st.markdown(
@@ -237,6 +240,11 @@ def panel_extract() -> None:
         num_nifti = utilio.get_file_count(
             st.session_state.paths[st.session_state.sel_mod], ".nii.gz"
         )
+
+        df_files = utilio.get_file_names(
+            st.session_state.paths[st.session_state.sel_mod], ".nii.gz"
+        )
+        num_nifti=df_files.shape[0]
         if num_nifti > 0:
             st.session_state.flags["dir_nifti"] = True
             st.session_state.flags[st.session_state.sel_mod] = True
@@ -245,6 +253,9 @@ def panel_extract() -> None:
                 icon=":material/thumb_up:",
             )
 
+            with st.expander('View NIFTI image list'):
+                st.dataframe(df_files)
+
         @st.dialog("DICOM to Nifti Conversion")  # type:ignore
         def help_extract_nifti():
             st.markdown(

src/viewer/utils/utils_io.py

@@ -4,6 +4,7 @@
 import zipfile
 from tkinter import filedialog
 from typing import Any, BinaryIO, List, Optional
+import pandas as pd
 
 # https://stackoverflow.com/questions/64719918/how-to-write-streamlit-uploadedfile-to-temporary-in_dir-with-original-filenam
 # https://gist.github.com/benlansdell/44000c264d1b373c77497c0ea73f0ef2
@@ -118,6 +119,19 @@ def get_file_count(folder_path: str, file_suff: str = "") -> int:
                         count += 1
     return count
 
+def get_file_names(folder_path: str, file_suff: str = "") -> pd.DataFrame:
+    f_names = []
+    if os.path.exists(folder_path):
+        if file_suff == "":
+            for root, dirs, files in os.walk(folder_path):
+                f_names.append(files)
+        else:
+            for root, dirs, files in os.walk(folder_path):
+                for file in files:
+                    if file.endswith(file_suff):
+                        f_names.append([file])
+    df_out = pd.DataFrame(columns=['FileName'], data=f_names)
+    return df_out
 
 def get_file_list(folder_path: str, file_suff: str = "") -> List:
     list_nifti: List[str] = []