wip

app.py

@@ -1,5 +1,46 @@
 import streamlit as st
-
+import pandas as pd
+import altair as alt
 
 st.markdown("# Hello World")
 
+"This also worksee"
+
+# df_simple = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
+
+df =  pd.read_csv('/Users/oo/kse-streamlit-2024-06/hromada_budget_2020_2022 (1).csv')
+
+with st.expander("сирий датафрейм"):
+    st.write("dataframe preview")
+    df
+
+ST_OBLAST = st.sidebar.selectbox("Оберіть Область", df['oblast_name'].unique())
+ST_COLOR = st.sidebar.selectbox("Оберіть Розбивку", ['year', 'hromada_name'])
+ST_METRIC = st.sidebar.selectbox("Оберіть метрику", [x for x in df.columns if "income" in x])
+ST_METRIC_2 = st.sidebar.selectbox("Оберіть метрику 2", [x for x in df.columns if "income" in x])
+ST_SPLIT_BY = st.sidebar.selectbox("Оберіть Розбивку", ['hromada_name', 'raion_name', 'oblast_name'])
+df_to_plot = df[df["oblast_name"]==ST_OBLAST]
+
+ST_TITLE = st.sidebar.text_input("Назва графіку", "Графік")
+
+ST_WIDTH, ST_HEIGHT = st.sidebar.columns(2)
+ST_WIDTH =  ST_WIDTH.slider("Ширина графіку", min_value=200, max_value=1000, value=700)
+ST_HEIGHT =  ST_HEIGHT.slider("Висота графіку", min_value=200, max_value=1000, value=350)
+tab1, tab2 = st.tabs(["Стовпчата Діаграма", "Scatter Plot"])
+
+with tab1:
+    chart_income_by_oblast = alt.Chart(df_to_plot).mark_bar().encode(
+        x=f'sum({ST_METRIC})',
+        y='raion_name',
+        color=ST_COLOR
+    ).properties(width=ST_WIDTH, height=ST_HEIGHT, title=ST_TITLE).interactive()
+
+    st.altair_chart(chart_income_by_oblast)
+
+with tab2:
+    chart_scatter_plot = alt.Chart(df_to_plot).mark_point().encode(
+        x=f'sum({ST_METRIC})',
+        y=f'sum({ST_METRIC_2})',
+        color=ST_SPLIT_BY
+    ).properties(width=ST_WIDTH, height=ST_HEIGHT, title=ST_TITLE).interactive()
+    st.altair_chart(chart_scatter_plot)

pages/first_page.py

@@ -0,0 +1,21 @@
+import streamlit as st
+import pandas as pd
+
+import ssl
+
+ssl._create_default_https_context = ssl._create_stdlib_context
+
+
+st.write("Hello First Page")
+
+@st.cache_data
+def get_html_data(url):
+    return pd.read_html(url)
+
+URL = st.text_input("URL with tables", value='https://en.wikipedia.org/wiki/List_of_Nobel_laureates_by_country')
+
+tables = get_html_data(URL)
+
+for table in tables:
+    with st.expander("table"):
+        st.table(table)