added data for age

app/main.py

@@ -2,19 +2,21 @@ import pandas as pd
 import plotly.express as px
 import streamlit as st
 import os
+import numpy as np
 
 
 data_location = os.path.realpath(
     os.path.join(os.getcwd(), 'data'))
 
-st.set_page_config(page_title='Dashboard',
+st.set_page_config(page_title='Azerbaijan Suicide Data',
                     page_icon=':bar_chart:',
                     layout='wide')
 
-data_age = pd.read_excel(os.path.join(data_location, 'azerbaijan_suicide_data.xlsx'), sheet_name='age')
+####################################### Data by Age #######################################
+
 data_year = pd.read_excel(os.path.join(data_location, 'azerbaijan_suicide_data.xlsx'), sheet_name='year')
 
-st.sidebar.header('Filter:')
+st.sidebar.header('Data by Year:')
 data_year_filter_year = st.sidebar.multiselect(
     'Select Year:',
     options = data_year['Year'].unique(),
@@ -28,53 +30,114 @@ data_year_selection = data_year.query(
 
 both_sexes = [float(d[:d.find(' ')]) for d in data_year_selection.Both_sexes]
 both_sexes_len = len(both_sexes)
-average_both_sexes = sum(both_sexes) / (both_sexes_len if both_sexes_len else 1)
+average_both_sexes_year = sum(both_sexes) / (both_sexes_len if both_sexes_len else 1)
 male = [float(d[:d.find(' ')]) for d in data_year_selection.Male]
 male_len = len(male)
-average_male = sum(male) / (male_len if male_len else 1)
+average_male_year = sum(male) / (male_len if male_len else 1)
 female = [float(d[:d.find(' ')]) for d in data_year_selection.Female]
 female_len = len(female)
-average_female = sum(female) / (female_len if female_len else 1)
+average_female_year = sum(female) / (female_len if female_len else 1)
 
 df_line_graph = pd.DataFrame(
     {'Year': data_year_selection.Year, 'Both Sexes': both_sexes, 'Male': male, 'Female': female})
 
-st.title('<h5>Azerbaijan Suicide Data (2000-2019)</h5>', 1)
+st.title('<h5>Azerbaijan Suicide Data by Year(2000-2019)</h5>', 1)
 st.dataframe(data_year_selection)
 
 
-st.title('<h1>Dashboard</h1>', 1)
+st.title('<h1>Dashboard by Year</h1>', 1)
 dashboard_column1, dashboard_column2 = st.columns([1, 2])
 
 with dashboard_column1:
-    st.subheader('Averages')
+    st.subheader('Averages by Years')
-    st.markdown(f'#### Average of Both Sexes: _{round(average_both_sexes, 2)}_')
+    st.markdown(f'#### Average of Both Sexes: _{round(average_both_sexes_year, 2)}_')
-    st.markdown(f'#### Average of Male: _{round(average_male, 2)}_')
+    st.markdown(f'#### Average of Male: _{round(average_male_year, 2)}_')
-    st.markdown(f'#### Average of Female: _{round(average_female, 2)}_')
+    st.markdown(f'#### Average of Female: _{round(average_female_year, 2)}_')
 
 with dashboard_column2:
-    if average_both_sexes > 0:
+    if average_both_sexes_year > 0:
-        bar_graph = px.bar(x=['Both Sexes', 'Male', 'Female'], y=[average_both_sexes, average_male, average_female])
+        bar_graph = px.bar(x=['Both Sexes', 'Male', 'Female'], y=[average_both_sexes_year, average_male_year, average_female_year])
         st.plotly_chart(bar_graph)
 
 if len(df_line_graph) > 1:
-    st.title('<h1>Gender Line Graph</h1>', 1)
+    st.title('<h1>Gender Line Graph by Year</h1>', 1)
     line_graph_column1, line_graph_column2 = st.columns([1, 7])
     with line_graph_column1:
         column_list = []
         st.markdown('&nbsp;')
-        both_sexes_check_box = st.checkbox('Both Sexes', value=1)
+        both_sexes_check_box_year = st.checkbox('Both Sexes', value=1, key='both_sexes_check_box_year')
-        male_check_box = st.checkbox('Male', value=1)
+        male_check_box_year = st.checkbox('Male', value=1, key='male_check_box_year')
-        female_check_box = st.checkbox('Female', value=1)
+        female_check_box_year = st.checkbox('Female', value=1, key='female_check_box_year')
-        if both_sexes_check_box: column_list.append('Both Sexes')
+        if both_sexes_check_box_year: column_list.append('Both Sexes')
-        if male_check_box: column_list.append('Male')
+        if male_check_box_year: column_list.append('Male')
-        if female_check_box: column_list.append('Female')
+        if female_check_box_year: column_list.append('Female')
 
     with line_graph_column2:
         if column_list:
             line_graph = px.line(df_line_graph, x='Year', y=column_list)
             st.plotly_chart(line_graph)
 
+####################################### Data by Age #######################################
+
+st.title('<h5>Azerbaijan Suicide Data by Age (2019)</h5>', 1)
+
+data_age = pd.read_excel(os.path.join(data_location, 'azerbaijan_suicide_data.xlsx'), sheet_name='age')\
+                                                                        .loc[::-1].reset_index(drop=True)
+
+st.sidebar.header('Data by Age:')
+data_age_filter_age = st.sidebar.multiselect(
+    'Select Age:',
+    options = data_age['Age'].unique(),
+    default = data_age['Age'].unique()
+)
+
+data_age_selection = data_age.query(
+    'Age == @data_age_filter_age'
+)
+
+average_both_sexes_age = np.average(data_age_selection.Both_sexes)
+average_male_age = np.average(data_age_selection.Male)
+average_female_age = np.average(data_age_selection.Female)
+
+st.dataframe(data_age_selection)
+
+st.title('<h1>Dashboard by Age</h1>', 1)
+dashboard_column1, dashboard_column2 = st.columns([1, 2])
+
+with dashboard_column1:
+    st.subheader('Averages by Age')
+    st.markdown(f'#### Average of Both Sexes: _{round(average_both_sexes_age, 2)}_')
+    st.markdown(f'#### Average of Male: _{round(average_male_age, 2)}_')
+    st.markdown(f'#### Average of Female: _{round(average_female_age, 2)}_')
+
+with dashboard_column2:
+    if average_both_sexes_age > 0:
+        bar_graph = px.bar(x=['Both Sexes', 'Male', 'Female'], y=[average_both_sexes_age, average_male_age, average_female_age])
+        st.plotly_chart(bar_graph)
+
+
+if 1:
+    st.title('<h1>Gender Line Graph by Age</h1>', 1)
+    line_graph_column1, line_graph_column2 = st.columns([1, 7])
+    with line_graph_column1:
+        column_list = []
+        st.markdown('&nbsp;')
+        both_sexes_check_box_age = st.checkbox('Both Sexes', value=1, key='both_sexes_check_box_age')
+        male_check_box_age = st.checkbox('Male', value=1, key='male_check_box_age')
+        female_check_box_age = st.checkbox('Female', value=1, key='female_check_box_age')
+        if both_sexes_check_box_age: column_list.append('Both Sexes')
+        if male_check_box_age: column_list.append('Male')
+        if female_check_box_age: column_list.append('Female')
+
+    with line_graph_column2:
+        print(column_list)
+        if column_list:
+            data_age_line_graph = data_age.copy()
+            data_age_line_graph.columns = ['Age', 'Both Sexes', 'Male', 'Female']
+            line_graph = px.line(data_age_line_graph, x='Age', y=column_list)
+            st.plotly_chart(line_graph)
+
+
 
 hide_st_style = """
 <style>

poetry.lock

@@ -1265,7 +1265,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.10"
-content-hash = "16c117b957e6d8453510db37d604102150a97579357606d82203d30a12eed065"
+content-hash = "37f9f4e41bf6ad2bd5b77b2694cf53f01ced08ff1d3d8b55cfed27728827b539"
 
 [metadata.files]
 altair = [

pyproject.toml

@@ -10,6 +10,7 @@ streamlit = "^1.9.0"
 plotly = "^5.8.0"
 pytest = "^7.1.2"
 openpyxl = "^3.0.10"
+numpy = "^1.22.4"
 
 [tool.poetry.dev-dependencies]