Moved hdf5_lib.py to visualization folder

src/hdf5_vis.py

@@ -1,69 +0,0 @@
-import sys
-import os
-root_dir = os.path.abspath(os.curdir)
-sys.path.append(root_dir)
-
-import h5py
-import yaml
-
-import numpy as np
-import pandas as pd
-
-from plotly.subplots import make_subplots
-import plotly.graph_objects as go
-import plotly.express as px
-#import plotly.io as pio
-from src.hdf5_ops import get_parent_child_relationships
-
- 
-
-def display_group_hierarchy_on_a_treemap(filename: str):
-
-    """
-    filename (str): hdf5 file's filename"""
-
-    with h5py.File(filename,'r') as file:
-        nodes, parents, values = get_parent_child_relationships(file)
-
-        metadata_list = []
-        metadata_dict={}
-        for key in file.attrs.keys():            
-            #if 'metadata' in key:
-            if isinstance(file.attrs[key], str):  # Check if the attribute is a string
-                metadata_key = key[key.find('_') + 1:]
-                metadata_value = file.attrs[key]
-                metadata_dict[metadata_key] = metadata_value
-                metadata_list.append(f'{metadata_key}: {metadata_value}')
-            
-            #metadata_dict[key[key.find('_')+1::]]= file.attrs[key]
-            #metadata_list.append(key[key.find('_')+1::]+':'+file.attrs[key])
-
-        metadata = '<br>'.join(['<br>'] + metadata_list)
-
-    customdata_series = pd.Series(nodes)
-    customdata_series[0] = metadata
-
-    fig = make_subplots(1, 1, specs=[[{"type": "domain"}]],)
-    fig.add_trace(go.Treemap(
-        labels=nodes, #formating_df['formated_names'][nodes],
-        parents=parents,#formating_df['formated_names'][parents],
-        values=values,
-        branchvalues='remainder',
-        customdata= customdata_series,
-        #marker=dict(
-        #    colors=df_all_trees['color'],
-        #    colorscale='RdBu',
-        #    cmid=average_score),
-        #hovertemplate='<b>%{label} </b> <br> Number of files: %{value}<br> Success rate: %{color:.2f}',
-        hovertemplate='<b>%{label} </b> <br> Count: %{value} <br> Path: %{customdata}',
-        name='',
-        root_color="lightgrey"
-        ))
-    fig.update_layout(width = 800, height= 600, margin = dict(t=50, l=25, r=25, b=25))
-    fig.show()
-    file_name, file_ext = os.path.splitext(filename)
-    fig.write_html(file_name + ".html")
-   
-    #pio.write_image(fig,file_name + ".png",width=800,height=600,format='png')
-
-#