Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,68 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+import plotly.graph_objects as go
+import pandas as pd
+import plotly.express as px
+
+#Read Avocado Dataset
+data = pd.read_csv("./files/avocado.csv")
+
+st.header("Pie Chart")
+# Implementing Pie Plot
+pie_chart = go.Figure(
+go.Pie(labels = data.type,
+values = data.AveragePrice,
+hoverinfo = "label+percent",
+textinfo = "value+percent"
+))
+
+st.plotly_chart(pie_chart)
+
+st.header("Donut Chart")
+# Donut Chart
+donut_chart = px.pie(
+names = data.type,
+values = data.AveragePrice,
+hole=0.25,
+)
+
+st.plotly_chart(donut_chart)
+
+st.header("Scatter Chart")
+#Scatter
+scat = px.scatter(
+x = data.Date,
+y = data.AveragePrice
+)
+st.plotly_chart(scat)
+
+
+# Minimizing Dataset
+albany_df = data[data['region']=="Albany"]
+al_df = albany_df[albany_df["year"]==2015]
+#Line
+line_chart = px.line(
+x = al_df["Date"],
+y = al_df["Large Bags"]
+)
+
+line_chart.update_traces(line_color = "orange")
+st.header("Line Chart")
+st.plotly_chart(line_chart)
+
+# Bar graph
+bar_graph = px.bar(
+al_df,
+title = "Bar Graph",
+x = "Date",
+y = "Large Bags"
+)
+st.plotly_chart(bar_graph)
 
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+#Bar Color
+bar_graph = px.bar(
+x = al_df["Date"],
+y = al_df["Large Bags"],
+title = "Bar Graph",
+color=al_df["Large Bags"]
+)
+st.plotly_chart(bar_graph)