Delete excel.py

excel.py

@@ -1,136 +0,0 @@
-import streamlit as st
-import pandas as pd
-import math
-import matplotlib.pyplot as plt
-
-# Function to read different file types
-def read_file(file):
-    file_extension = file.name.split(".")[-1]
-    if file_extension == "csv":
-        data = pd.read_csv(file)
-    elif file_extension == "xlsx":
-        data = pd.read_excel(file, engine="openpyxl")
-    else:
-        st.error("Unsupported file format. Please upload a CSV or Excel file.")
-        return None
-    return data
-
-# Function to display the uploaded data
-def display_data(data):
-    st.write("### Data Preview")
-    st.dataframe(data.head())
-
-# Function to perform mathematical calculations and store results as separate columns
-def perform_calculations(data):
-    st.write("### Calculations")
-
-    # Get column names
-    columns = data.columns
-
-    # Iterate over each column and perform calculations
-    for column in columns:
-        st.write("Calculations for column:", column)
-
-        # Example calculations: sum, mean, median
-        column_sum = data[column].sum()
-        column_mean = data[column].mean()
-        column_median = data[column].median()
-
-        # Create new column names
-        sum_column_name = f"{column}_sum"
-        mean_column_name = f"{column}_mean"
-        median_column_name = f"{column}_median"
-
-        # Add the calculated values as new columns
-        data[sum_column_name] = column_sum
-        data[mean_column_name] = column_mean
-        data[median_column_name] = column_median
-
-        # Display the calculated values
-        st.write("Sum:", column_sum)
-        st.write("Mean:", column_mean)
-        st.write("Median:", column_median)
-
-    # Display the updated data with calculated columns
-    st.write("### Updated Data")
-    st.dataframe(data)
-
-# Function to perform mathematical calculations
-def perform_math(df, selected_columns, operation):
-    result = None
-
-    if operation == "sqrt":
-        result = df[selected_columns].applymap(math.sqrt)
-    elif operation == "log":
-        result = df[selected_columns].applymap(math.log)
-    elif operation == "exp":
-        result = df[selected_columns].applymap(math.exp)
-    elif operation == "sin":
-        result = df[selected_columns].applymap(math.sin)
-    elif operation == "cos":
-        result = df[selected_columns].applymap(math.cos)
-    elif operation == "tan":
-        result = df[selected_columns].applymap(math.tan)
-    elif operation == "multiply":
-        result = df[selected_columns].prod(axis=1)
-    elif operation == "add":
-        result = df[selected_columns].sum(axis=1)
-    elif operation == "subtract":
-        result = df[selected_columns[0]] - df[selected_columns[1]]
-
-    if result is not None:
-        df[f"{operation}_result"] = result
-
-    return df
-
-def plot_graph(data, graph_type, x_variables, y_variables):
-    plt.figure(figsize=(8, 6))
-
-    for x_var in x_variables:
-        for y_var in y_variables:
-            if graph_type == "Scatter":
-                plt.scatter(data[x_var], data[y_var], label=f"{x_var} vs {y_var}")
-            elif graph_type == "Line":
-                plt.plot(data[x_var], data[y_var], label=f"{x_var} vs {y_var}")
-            elif graph_type == "Bar":
-                x = range(len(data))
-                plt.bar(x, data[y_var], label=y_var)
-
-    plt.xlabel("X Values")
-    plt.ylabel("Y Values")
-    plt.title(f"{graph_type} Plot")
-    plt.legend()
-
-    st.pyplot()
-
-def main():
-    st.title("Excel-like Data Visualization and Calculations")
-    st.write("Upload a CSV or Excel file and visualize the data")
-
-    file = st.file_uploader("Upload file", type=["csv", "xlsx"])
-
-    if file is not None:
-        data = read_file(file)
-        if data is not None:
-            display_data(data)
-            perform_calculations(data)
-
-            st.write("### Graph Visualizer")
-            st.write("Select variables for visualization:")
-
-            graph_type = st.selectbox("Graph Type", options=["Scatter", "Line", "Bar"])
-            x_variables = st.multiselect("X Variables", options=data.columns)
-            y_variables = st.multiselect("Y Variables", options=data.columns)
-
-            selected_columns = st.multiselect("Select columns:", options=data.columns)
-            operation = st.selectbox("Select an operation:", ["sqrt", "log", "exp", "sin", "cos", "tan", "multiply", "add", "subtract"])
-
-            if st.button("Calculate"):
-                data = perform_math(data, selected_columns, operation)
-                st.write(data)
-            if st.button("Plot"):
-                plot_graph(data, graph_type, x_variables, y_variables)
-
-if __name__ == "__main__":
-    st.set_page_config(page_title="My Analytics App")
-    main()