Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -1,7 +1,7 @@
 # Dash app to visualize scRNA-seq data quality control metrics from scanpy objects
 # Shoutout to Coding-with-Adam for the initial template of the project: 
 # https://github.com/Coding-with-Adam/Dash-by-Plotly/blob/master/Dash%20Components/Graph/dash-graph.py
-df=None
+
 import dash
 from dash import dcc, html, Output, Input
 import plotly.express as px
@@ -36,18 +36,18 @@ def read_config(filename):
     return config
 
 config = read_config(config_path)
-#path_parquet = config.get("path_parquet")
+path_parquet = config.get("path_parquet")
 col_batch = config.get("col_batch")
 col_features = config.get("col_features")
 col_counts = config.get("col_counts")
 col_mt = config.get("col_mt")
 
-#filepath = f"az://{path_parquet}"
+filepath = f"az://{path_parquet}"
 
-#storage_options={'account_name': AZURE_STORAGE_ACCOUNT, 'account_key': AZURE_STORAGE_ACCESS_KEY,'anon': False}
+storage_options={'account_name': AZURE_STORAGE_ACCOUNT, 'account_key': AZURE_STORAGE_ACCESS_KEY,'anon': False}
 #azfs = AzureBlobFileSystem(**storage_options )
 
-#df = pl.read_parquet(filepath,storage_options=storage_options)
+df = pl.read_parquet(filepath,storage_options=storage_options)
 #abfs = AzureBlobFileSystem(account_name=accountname,account_key=accountkey)
 #df = df.rename({"__index_level_0__": "Unnamed: 0"})
 
@@ -55,22 +55,6 @@ col_mt = config.get("col_mt")
 external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
 app = dash.Dash(__name__, external_stylesheets=external_stylesheets) #, requests_pathname_prefix='/dashboard1/'
 
-tab0_content = html.Div([
-    html.Label("Dataset chosen"),    
-    dcc.Dropdown(id='dpdn1', value="d1011/10xflexd1011_umap_clusres", multi=False,
-                 options=["corg/10xflexcorg_umap_clusres","d1011/10xflexd1011_umap_clusres"])
-])
-
-@app.callback(
-    Input(component_id='dpdn1', component_property='value')
-)
-
-def update_dataset(dataset_chosen): #batch_chosen, 
-    global df
-    filepath = f"az://data10xflex/{dataset_chosen}.parquet"
-    df = pl.read_parquet(filepath,storage_options=storage_options)
-    return
-
 min_value = df[col_features].min()
 max_value = df[col_features].max()
 
@@ -259,7 +243,6 @@ app.layout = html.Div([
     dcc.Tabs(id='tabs', style= {'width': 600,
         'font-size': '100%',
         'height': 50}, value='tab1',children=[
-        dcc.Tab(label='Dataset', value='tab0', children=tab0_content),
         dcc.Tab(label='QC', value='tab1', children=tab1_content),
         dcc.Tab(label='Cell cycle', value='tab2', children=tab2_content),
         dcc.Tab(label='Custom', value='tab3', children=tab3_content),