Update app.py

app.py

@@ -1,5 +1,11 @@
 import streamlit as st
 import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+import locale
+
+# Set the locale to Brazilian Portuguese
+locale.setlocale(locale.LC_ALL, 'pt_BR.UTF-8')
 
 df = pd.read_csv('last_results.csv')
 
@@ -38,8 +44,27 @@ st.markdown(
 with st.sidebar:
     st.image(image1, use_column_width=True)
     st.markdown(title_html, unsafe_allow_html=True)
-    selected_instituicao = st.selectbox('Select Instituição', df['Instituição'].unique())
-    selected_conta = st.selectbox('Select Conta', df['Conta'].unique())
+    selected_instituicao = st.selectbox('Seleciona Instituição', df['Instituição'].unique())
+    selected_conta = st.selectbox('Seleciona Conta', df['Conta'].unique())
+    # Generate some example data
+    x = np.linspace(0, 10, 100)
+    y1 = np.sin(x)
+    y2 = np.cos(x)
+    y3 = np.tan(x)
+
+    # Plot the lines using Matplotlib
+    fig, ax = plt.subplots()
+    ax.plot(x, y1, label='Green Line', color='green')
+    ax.plot(x, y2, label='Red Line', color='red')
+    ax.plot(x, y3, label='Yellow Line', color='yellow')
+
+    # Set plot properties
+    ax.legend()
+    ax.set_xlabel('X-axis')
+    ax.set_ylabel('Y-axis')
+
+    # Display the Matplotlib plot in the Streamlit sidebar
+    st.sidebar.pyplot(fig)
 
 # Filter the DataFrame based on selected values
 filtered_df = df[(df['Instituição'] == selected_instituicao) & (df['Conta'] == selected_conta)]
@@ -51,6 +76,20 @@ st.write(filtered_df)
 # Display the Forecasts values
 if not filtered_df.empty:
     forecasts_values = filtered_df['Forecasts'].values
-    st.write('Forecasts Values:', forecasts_values)
+
+    data_string = forecasts_values
+
+    # Split the string into lines
+    lines = data_string.split('\n')
+
+    # Iterate through the lines and extract the values
+    for line in lines[:-2]:  # Exclude the last two elements (empty and the 'Name: Valor, dtype: float64' line)
+        period, value = line.split()
+        num_float = float(value)
+    
+        # Format as monetary value with dots and comma
+        monetary_value = locale.currency(num_float, grouping=True)
+    
+        st.write(f"Período {period}: {monetary_value}")
 else:
     st.warning('No data available for the selected filters.')