Merge pull request chekoduadarsh#102 from chekoduadarsh/dev

🗑 Formatting and Cleaning Code 🗑

.gitignore

@@ -2,4 +2,5 @@
 #https://intellij-support.jetbrains.com/hc/en-us/articles/206544839-How-to-manage-projects-under-Version-Control-Systems 
 .iws
 workspace.xml
-tasks.xml
+tasks.xml
+.idea

app.py

@@ -51,14 +51,14 @@
 
 DASH_APP.layout = html.Div()
 
-
 @app.route('/DataVisualizer', methods=['POST', 'GET'])
 def dataframe_return():
     """returns list of Dataframes from dataframe_visualizer
 
     Returns:
         string: list of datafrmaes
     """
+    # pylint: disable=W0603
     global DASH_APP
     list_dataframe, DASH_APP = dataframe_visualizer(request.form, DASH_APP)
     return str(list_dataframe)

libs/dashboard.py

@@ -1,17 +1,11 @@
 """Instantiate a Dash app."""
-import numpy as np
-import pandas as pd
-import dash
 from dash import dash_table
 from dash import dcc
 import plotly.express as px
-import json
 from dash import html
-import dash_daq as daq
 from dash.dependencies import Input, Output, State
-import string
-import random
-import urllib.parse
+
+
 import plotly.graph_objects as go
 import dash_bootstrap_components as dbc
 from .util import floatNoneConvert, strNoneConvert, otherinputtodict
@@ -35,30 +29,16 @@ def dashboard_app(df, dash_app, plotly_config):
         "backgroundColor": "black",
         "color": "white",
     }
-
-    dropdown_style = {
-        "fontWeight": "bold",
-        "backgroundColor": "black",
-        "color": "white",
-    }
-
     tab_selected_style = {
         "borderTop": "1px solid #d6d6d6",
         "borderBottom": "1px solid #d6d6d6",
         "backgroundColor": "#119DFF",
         "color": "white",
         "padding": "6px",
     }
-
     not_mandatory_font_style = {"color": "blue"}
     mandatory_font_style = {"color": "red"}
     mandatory_div_style = {" marginLeft": "1%", "width": "48%", "display": "inline-grid"}
-    only_mandatory_div_style = {
-        " marginLeft": "1%",
-        "width": "98%",
-        " marginRight": "1%",
-        "display": "inline-grid",
-    }
     not_mandatory_div_style = {
         " marginLeft": "2%",
         "border-spacing": "2px",
@@ -1829,7 +1809,7 @@ def update_areaplot(n_clicks, input1, input2, input3, input4, input5):
         State("input-other-heat", "value"),
     )
     def update_heatplot(n_clicks, input1, input2, input3, input4):
-        if not (input1 is None) and not (input2 is None):
+        if not input1 is None and not input2 is None:
             if strNoneConvert(input1) in df.columns and strNoneConvert(input2) in df.columns:
 
                 input_parametes = {
@@ -1855,7 +1835,7 @@ def update_heatplot(n_clicks, input1, input2, input3, input4):
         State("input-other-violin", "value"),
     )
     def update_violinplot(n_clicks, input1, input2, input3, input4):
-        if not (input1 is None):
+        if not input1 is None:
             if strNoneConvert(input1) in df.columns:
 
                 input_parametes = {
@@ -2130,7 +2110,7 @@ def update_streamtubeplot(n_clicks, input1, input2, input3, input4, input5, inpu
         State("input-custom-code", "value"),
     )
     def update_customplot(n_clicks, input1):
-        if not (input1 is None):
+        if not input1 is None:
             df
             _locals = locals()
             exec(input1, globals(), _locals)

libs/util.py

@@ -1,31 +1,29 @@
 """ Python script with utility functions """
-def strNoneConvert(input):
+def strNoneConvert(input_data):
     """ Converting input to string if it is not a list or none """
-    if input is None:
+    if input_data is None:
         return None
-    if input is list:
+    if input_data is list:
         return list
-    else:
-        return str(input)
+    return str(input_data)
 
 
-def floatNoneConvert(input):
+def floatNoneConvert(input_data):
     """ Converting input to float if it is not a list or none """
-    if input is None or input == '':
+    if input_data is None or input_data == '':
         return None
-    if input is list:
+    if input_data is list:
         return list
-    else:
-        return float(input)
+    return float(input_data)
 
 
-def otherinputtodict(input):
+def otherinputtodict(input_data):
 
     """ Dict [parser funtion for other inputs """
     input_parameter_dict = {}
-    if not(input is None):
-        if "=" in input:
-            input_parameter_list = input.split(",")
+    if not input_data is None:
+        if "=" in input_data:
+            input_parameter_list = input_data.split(",")
             for parameter in input_parameter_list:
                 input_parameter_dict[parameter.split(
                     "=")[0]] = parameter.split("=")[1]