Rendering Matplotlib AxesSubplots in Streamlit

Using Streamlit
5

fig, ax = plt.subplots() #solved by add this line

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
class Economics():
    def demand_supply_cruve(self , data=None):
        """Graph demand and supply curve
        inputs
        --------------------------------
        Data is a {price:[] , 'Demand':[1,2,3....] , 'Supply':[1,2,3,....] } per unit

        """
        data =  data if data != None else {'price':list(range(0,201,10)) ,'Demand':list(range(0,401,20))[::-1] , 'Supply':list(range(0,401,20))}
        fig, ax = plt.subplots() #solved by add this line 
        ax = sns.lineplot(data=pd.DataFrame(data), x="Demand", y="price")
        return fig

import streamlit as st 
from economics import Economics
st.title("Eco")
eco = Economics()
st.pyplot(eco.demand_supply_cruve())
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