55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
import streamlit as st
|
|
import pandas as pd
|
|
import plotly.graph_objects as go
|
|
|
|
# Function to process and plot CSV data
|
|
def process_and_plot_cumulative_csv(df):
|
|
"""Creates an interactive plot for each book in the dataset."""
|
|
|
|
# Extract book names and cumulative chapter values
|
|
book_names = df.iloc[:, 0] # First column contains book names
|
|
cumulative_books = df.iloc[:, 2:].apply(pd.to_numeric, errors='coerce').values # Convert chapter values to numeric
|
|
|
|
# Display each book separately
|
|
for i, book in enumerate(cumulative_books):
|
|
book = book[~pd.isna(book)] # Remove NaN values
|
|
|
|
# Create an interactive Plotly figure
|
|
fig = go.Figure()
|
|
|
|
fig.add_trace(go.Scatter(
|
|
x=list(range(1, len(book) + 1)),
|
|
y=book,
|
|
mode='lines+markers',
|
|
name=book_names[i],
|
|
marker=dict(size=6),
|
|
hoverinfo="x+y+name"
|
|
))
|
|
|
|
# Set layout for the plot
|
|
fig.update_layout(
|
|
title=f'{book_names[i]}',
|
|
xaxis_title="Chapter Index",
|
|
yaxis_title="Cumulative Change",
|
|
legend_title="Book",
|
|
hovermode="x unified",
|
|
template="plotly_white"
|
|
)
|
|
|
|
# Display the interactive plot in Streamlit
|
|
st.plotly_chart(fig)
|
|
|
|
# Streamlit UI
|
|
st.title("📖 Book Analysis: Individual Cumulative Chapter Changes (Interactive)")
|
|
|
|
# File uploader
|
|
uploaded_file = st.file_uploader("📂 Upload CSV File", type=["csv"])
|
|
|
|
if uploaded_file is not None:
|
|
df = pd.read_csv(uploaded_file) # Read uploaded file
|
|
st.write("### 📊 Data Preview:")
|
|
st.dataframe(df) # Show uploaded data
|
|
|
|
st.write("### 📈 Interactive Plots for Each Book:")
|
|
process_and_plot_cumulative_csv(df) # Generate interactive plots
|