Merge pull request recodehive#269 from revanth1718/main

BUG FIXED

Author: sanjay-kv

streamlit/__pycache__/functions.cpython-311.pyc

@@ -263,7 +263,8 @@ def ai_graphs():
     st.title('AI Survey Responses')
     df = full_data2018[['AIDangerous', 'AIInteresting', 'AIResponsible', 'AIFuture']]
 
-    df = df.applymap(lambda x: x.strip() if isinstance(x, str) else x)
+    # Correct replacement of applymap
+    df = df.apply(lambda col: col.map(lambda x: x.strip() if isinstance(x, str) else x) if col.dtype == 'object' else col)
 
     short_mapping = {
         'Algorithms making important decisions': 'Algorithms',
@@ -286,8 +287,7 @@ def ai_graphs():
     plot_value_counts_plotly('AIDangerous', df, col1)
     plot_value_counts_plotly('AIInteresting', df, col1)
     plot_value_counts_plotly('AIResponsible', df, col2)
-    plot_value_counts_plotly('AIFuture', df, col2)   
-
+    plot_value_counts_plotly('AIFuture', df, col2)
 
 def result_plot(data):
     new_index = data.Rates.sort_values(ascending=False).index

streamlit/__pycache__/main_analysis.cpython-311.pyc

@@ -10,27 +10,32 @@
 import random
 import functions as ff
 import main_analysis as main
+import os
 
 #######################################
 # DATA LOADING
 #######################################
 
 st.set_page_config(layout='wide')
 
+# Determine the base path
+base_path = os.path.dirname(__file__)
+
 # Loading data files
-df = pd.read_csv('df2020.csv')
-df2018 = pd.read_csv('df2018.csv')
-full_data2018 = pd.read_csv('survey_results_sample_2018.csv')
-full_data2019 = pd.read_csv('survey_results_sample_2019.csv')
-full_df2020 = pd.read_csv('survey_results_sample_2020.csv')
-df2019 = pd.read_csv('df2019.csv')
+df = pd.read_csv(os.path.join(base_path, 'df2020.csv'))
+df2018 = pd.read_csv(os.path.join(base_path, 'df2018.csv'))
+full_data2018 = pd.read_csv(os.path.join(base_path, 'survey_results_sample_2018.csv'))
+full_data2019 = pd.read_csv(os.path.join(base_path, 'survey_results_sample_2019.csv'))
+full_df2020 = pd.read_csv(os.path.join(base_path, 'survey_results_sample_2020.csv'))
+df2019 = pd.read_csv(os.path.join(base_path, 'df2019.csv'))
 
 # Filter the 2020 dataframe
 df2020 = df[df['SalaryUSD'] < 200000]
 
 # Load CSS file
 def local_css(file_name):
-    with open(file_name) as f:
+    css_path = os.path.join(base_path, file_name)
+    with open(css_path) as f:
         st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)
 
 local_css("style.css")
@@ -61,7 +66,7 @@ def local_css(file_name):
 full_data2018.rename(columns={'ConvertedSalary': 'SalaryUSD'}, inplace=True)
 
 # Strip leading and trailing whitespace from all columns in df_ai
-df_ai = df_ai.applymap(lambda x: x.strip() if isinstance(x, str) else x)
+df_ai = df_ai.apply(lambda x: x.str.strip() if x.dtype == "object" else x)
 
 # Mapping for shorter versions
 short_mapping = {