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app.py

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+import streamlit as st
+import pandas as pd
+import bar_chart_race as bcr
+
+def user_guide_show():
+    st.write("""
+             This application creates racing charts consisting of bar graphs by calculating the cumulative totals of the data based on the time column.
+
+             Points to consider:
+                1. The dataset must include a date column.
+                2. It is recommended that the date column be in a structured format.
+                3. Accepted formats for the date column:
+                    -> ISO 8601 Format
+                    -> US Date Format
+                    -> European Date Format
+                    -> Unix Timestamp
+                    -> Abbreviated Month Names
+                4. It is recommended that the dataset be pre-processed (missing values may hinder achieving the desired outcome).
+                5. Below is an example of a dataset:
+             """)
+    data = pd.read_csv('corona.csv')
+    st.dataframe(data)
+
+
+def create_graph(data: pd.DataFrame, title):
+    data['date'] = pd.to_datetime(data['date'])
+    data = data.set_index('date')
+    cumulative = data.cumsum()
+
+    try:
+        bcr.bar_chart_race(cumulative,
+                   n_bars = min(10, len(data.columns)),
+                   filename = 'racing_graph.mp4',
+                   figsize = (10, 8),
+                   interpolate_period=True,
+                   cmap='tab20',
+                   period_length = 500,
+                   steps_per_period = min(5, max(1, int(len(data) / 500))),
+                   period_label = False,
+                   title = title)
+    
+    except Exception as e:
+        st.error(f"Racing graph could not be generated: {e}")
+
+
+def download_graph():
+    try:
+        with open('racing_graph.mp4', 'rb') as f:
+            st.download_button(
+                        label="Download",
+                        data=f,
+                        file_name='racing_graph.mp4',
+                        mime='video/mp4'
+                    )
+    
+    except Exception as e:
+        st.error(f"Racing graph could not be downloaded: {e}")
+
+
+st.title("RACING GRAPHS")
+
+user_guide = st.button("User Guide")
+
+if user_guide:
+    user_guide_show()
+
+title = st.text_input("Enter the title of the graph")
+
+dataset = st.file_uploader("Upload the dataset", type= ["csv", "xlsx", "json", "txt", "pkl"])
+
+generate = st.button("Generate")
+if generate and dataset is not None:
+    try:
+        name = str(dataset.name)
+        if name.endswith(".csv"):
+            data = pd.read_csv(dataset)
+        elif name.endswith(".xlsx"):
+            data = pd.read_excel(dataset)
+        elif name.endswith(".json"):
+            data = pd.read_json(dataset)
+        elif name.endswith(".txt"):
+            data = pd.read_csv(dataset)
+        elif name.endswith(".pkl"):
+            data = pd.read_pickle(dataset)
+        else:
+            st.error("Unsupported file type.")
+            data = None
+
+    except Exception as e:
+        st.error(f"An error occurred while uploading the file: {e}")
+
+
+    create_graph(data, title)
+
+    download_graph()

corona.csv

@@ -0,0 +1,113 @@
+date,US,Spain,Italy,Germany,Russia,Brazil,France,United Kingdom,Turkey,Iran
+1-22-2020,1,0,0,0,0,0,0,0,0,0
+1-23-2020,0,0,0,0,0,0,0,0,0,0
+1-24-2020,1,0,0,0,0,0,2,0,0,0
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+1-26-2020,3,0,0,0,0,0,0,0,0,0
+1-27-2020,0,0,0,1,0,0,0,0,0,0
+1-28-2020,0,0,0,3,0,0,1,0,0,0
+1-29-2020,0,0,0,0,0,0,1,0,0,0
+1-30-2020,0,0,0,0,0,0,0,0,0,0
+1-31-2020,2,0,2,1,2,0,0,2,0,0
+2-1-2020,1,1,0,3,0,0,1,0,0,0
+2-2-2020,0,0,0,2,0,0,0,0,0,0
+2-3-2020,3,0,0,2,0,0,0,0,0,0
+2-4-2020,0,0,0,0,0,0,0,0,0,0
+2-5-2020,0,0,0,0,0,0,0,0,0,0
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+2-13-2020,1,0,0,1,0,0,0,0,0,0
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+2-15-2020,0,2,0,0,0,0,4,0,0,0
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+2-20-2020,0,0,0,0,0,0,0,0,0,3
+2-21-2020,4,0,18,2,0,0,0,0,0,15
+2-22-2020,0,0,44,0,0,0,0,0,0,11
+2-23-2020,0,0,95,0,0,0,0,0,0,18
+2-24-2020,36,0,77,0,0,0,0,4,0,22
+2-25-2020,1,4,96,1,0,0,9,0,0,38
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requirements.txt

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+bar-chart-race==0.1.0
+pandas
+streamlit