import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
import warnings
warnings.filterwarnings("ignore")
import datetime
from datetime import date
import seaborn as sns
import calendar
import matplotlib.dates as mdates
#import matplotlib.pyplot as plt
#import numpy as np
#import pandas as pd
 
# create data
df = pd.DataFrame([['A', 10, 20, 10, 26], ['B', 20, 25, 15, 21], ['C', 12, 15, 19, 6],
                   ['D', 10, 18, 11, 19]],
                  columns=['Team', 'Round 1', 'Round 2', 'Round 3', 'Round 4'])
# view data
st.write(df)
fig, ax = plt.subplots()
#df1=df.loc[0] 
# plot data in stack manner of bar type

df.plot(x='Round 1', kind='bar', stacked=True,
        title='Stacked Bar Graph by dataframe')
plt.show()
st.pyplot(fig)