misc.py

def graphs():
    #total_investment=int(df_selection["Investment"]).sum()
    #averageRating=int(round(df_selection["Rating"]).mean(),2)
    
    #simple bar graph
    investment_by_business_type=(
        df_selection.groupby(by=["BusinessType"]).count()[["Investment"]].sort_values(by="Investment")
    )
    fig_investment=px.bar(
       investment_by_business_type,
       x="Investment",
       y=investment_by_business_type.index,
       orientation="h",
       title="<b> Investment by Business Type </b>",
       color_discrete_sequence=["#0083B8"]*len(investment_by_business_type),
       template="plotly_white",
    )


    fig_investment.update_layout(
    plot_bgcolor="rgba(0,0,0,0)",
    xaxis=(dict(showgrid=False))
     )

        #simple line graph
    investment_state=df_selection.groupby(by=["State"]).count()[["Investment"]]
    fig_state=px.line(
       investment_state,
       x=investment_state.index,
       y="Investment",
       orientation="v",
       title="<b> Investment by State </b>",
       color_discrete_sequence=["#0083b8"]*len(investment_state),
       template="plotly_white",
    )
    fig_state.update_layout(
    xaxis=dict(tickmode="linear"),
    plot_bgcolor="rgba(0,0,0,0)",
    yaxis=(dict(showgrid=False))
     )

    left,right,center=st.columns(3)
    left.plotly_chart(fig_state,use_container_width=True)
    right.plotly_chart(fig_investment,use_container_width=True)
    
    with center:
      #pie chart
      fig = px.pie(df_selection, values='Rating', names='State', title='Regions by Ratings')
      fig.update_layout(legend_title="Regions", legend_y=0.9)
      fig.update_traces(textinfo='percent+label', textposition='inside')
      st.plotly_chart(fig, use_container_width=True, theme=theme_plotly)