Arts-of-coding commited on
Commit
9ad3b81
1 Parent(s): b05f107

Update dash_plotly_QC_scRNA.py

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Files changed (1) hide show
  1. dash_plotly_QC_scRNA.py +14 -2
dash_plotly_QC_scRNA.py CHANGED
@@ -47,6 +47,11 @@ filepath = f"az://{path_parquet}"
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  storage_options={'account_name': AZURE_STORAGE_ACCOUNT, 'account_key': AZURE_STORAGE_ACCESS_KEY,'anon': False}
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  #azfs = AzureBlobFileSystem(**storage_options )
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  # Setup the app
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  external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
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  app = dash.Dash(__name__, external_stylesheets=external_stylesheets) #, requests_pathname_prefix='/dashboard1/'
@@ -56,6 +61,10 @@ app = dash.Dash(__name__, external_stylesheets=external_stylesheets) #, requests
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  #abfs = AzureBlobFileSystem(account_name=accountname,account_key=accountkey)
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  #df = df.rename({"__index_level_0__": "Unnamed: 0"})
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  tab0_content = html.Div([
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  html.Label("Dataset chosen"),
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  dcc.Dropdown(id='dpdn1', value="corg/10xflexcorg_umap_clusres", multi=False,
@@ -67,11 +76,14 @@ tab0_content = html.Div([
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  )
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  def update_filepath(dataset_chosen):
 
 
 
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  if f"az://data10xflex/{dataset_chosen}.parquet" != filepath:
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- filepath = f"az://data10xflex/{dataset_chosen}.parquet"
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  return
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- df = pl.read_parquet(filepath, storage_options=storage_options)
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  min_value = df[col_features].min()
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  max_value = df[col_features].max()
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  storage_options={'account_name': AZURE_STORAGE_ACCOUNT, 'account_key': AZURE_STORAGE_ACCESS_KEY,'anon': False}
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  #azfs = AzureBlobFileSystem(**storage_options )
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+ # Load in multiple dataframes
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+ df = None
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+ df1 = pl.read_parquet(filepath, storage_options=storage_options)
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+ df2 = pl.read_parquet(f"az://data10xflex/{dataset_chosen}.parquet", storage_options=storage_options)
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+
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  # Setup the app
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  external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
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  app = dash.Dash(__name__, external_stylesheets=external_stylesheets) #, requests_pathname_prefix='/dashboard1/'
 
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  #abfs = AzureBlobFileSystem(account_name=accountname,account_key=accountkey)
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  #df = df.rename({"__index_level_0__": "Unnamed: 0"})
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+ #df1 = pl.read_parquet(filepath, storage_options=storage_options)
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+
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+ #df2 = pl.read_parquet(f"az://data10xflex/{dataset_chosen}.parquet", storage_options=storage_options)
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+
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  tab0_content = html.Div([
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  html.Label("Dataset chosen"),
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  dcc.Dropdown(id='dpdn1', value="corg/10xflexcorg_umap_clusres", multi=False,
 
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  )
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  def update_filepath(dataset_chosen):
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+ global df
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+ if f"az://data10xflex/{dataset_chosen}.parquet" == filepath:
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+ df = df1
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  if f"az://data10xflex/{dataset_chosen}.parquet" != filepath:
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+ df = df2
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  return
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+ #df = pl.read_parquet(filepath, storage_options=storage_options)
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  min_value = df[col_features].min()
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  max_value = df[col_features].max()
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