Update app.py

app.py

@@ -36,7 +36,7 @@ warnings.filterwarnings('ignore')
 # import yahoo_oauth
 import json
 #import openpyxl
-#from sklearn import preprocessing
+from sklearn import preprocessing
 from datetime import timedelta
 import dataframe_image as dfi
 # from google.colab import drive
@@ -47,11 +47,11 @@ def percentile(n):
     return percentile_
 
 import os
-#import praw
+import praw
 import matplotlib.pyplot as plt
 import matplotlib.colors
 import matplotlib.colors as mcolors
-#cmap_sum = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#4285f4","#FFFFFF","#F0E442"])
+cmap_sum = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#4285f4","#FFFFFF","#F0E442"])
 #import pybaseball
 import math
 import matplotlib.ticker as mtick
@@ -329,6 +329,7 @@ def server(input, output, session):
         print(list_of_columns)
         test = test[list_of_columns]
         test = test.rename(columns={'percent_owned':'Roster%'})
+        test = test.rename(columns={'display_position':'Position'})
         
 
         top_d_score = test[(test.Team==input.team_id())].sort_values(by=['L'+str(n_1)+' PP%'],ascending=False).reset_index(drop=True)
@@ -371,17 +372,22 @@ def server(input, output, session):
                 ('text-align', 'centre'),
                 ]
 
-                },{'selector' :'th', 'props':[('text-align', 'center'),('Height','px'),('color','black'),('border', '1px black solid !important')]},{'selector' :'td', 'props':[('text-align', 'center'),('font-size', '18px'),('color','black')]}],overwrite=False).set_properties(
-                    **{'background-color':'White','index':'White','min-width':'75px'},overwrite=False).set_table_styles(
+                },{'selector' :'th', 'props':[('text-align', 'center'),('Height','px'),('color','black'),(
+                    'border', '1px black solid !important')]},{'selector' :'td', 'props':[('text-align', 'center'),('font-size', '18px'),('color','black')]}],overwrite=False).set_properties(
+                    **{'background-color':'White','index':'White','min-width':'50px'},overwrite=False).set_table_styles(
             [{'selector': 'th:first-child', 'props': [('background-color', 'white')]}],overwrite=False).set_table_styles(
             [{'selector': 'tr:first-child', 'props': [('background-color', 'white')]}],overwrite=False).set_table_styles(
             [{'selector': 'tr', 'props': [('line-height', '20px')]}],overwrite=False).set_properties(
-            **{'Height': '8px'},**{'text-align': 'center'},overwrite=False).hide_index().format(
-                        {'L'+str(n_1)+' PP%': '{:.0%}',
-                        'L'+str(n_2)+' PP%': '{:.0%}',
-                        'L'+str(n_3)+' PP%': '{:.0%}',
-                        'Roster%': '{:.0%}',
-                        },)
+            **{'Height': '8px'},**{'text-align': 'center'},overwrite=False).set_properties(**{'border': '3 px','color':'black'},overwrite=False).set_properties(**{'border': '3 px','color':'black'},overwrite=False).set_properties(
+                    **{'border': '1px black solid !important'},subset = ((list(top_d_score.index[:]),top_d_score.columns[:]))).set_properties(
+                    **{'min-width':'130'},subset = ((list(top_d_score.index[:]),top_d_score.columns[:])),overwrite=False).set_properties(**{
+                                'color': 'black'},overwrite=False).set_properties(
+                    **{'border': '1px black solid !important'},subset = ((list(top_d_score.index[:]),top_d_score.columns[:]))).format(
+            {'L'+str(n_1)+' PP%': '{:.0%}',
+            'L'+str(n_2)+' PP%': '{:.0%}',
+            'L'+str(n_3)+' PP%': '{:.0%}',
+            'Roster%': '{:.0%}',
+            },).background_gradient(cmap=co, subset=[x for x in cols if x.endswith('PP%')]+['Roster%'])
 
         return df_style_bang