import os import plotly.graph_objects as go import plotly.io as pio import tempfile import tkinter as tk import webview from PIL import Image, ImageTk class plotter: def nutrient_plotter(self, df, row_index, nutrient_indices, chart_type, popup=True, frame=None): """ Generate and display a Plotly graph of nutrient values for a specific row in a DataFrame. Parameters: df (pandas.DataFrame): The DataFrame containing the nutrient data. row_index (int): The index of the row in the DataFrame to plot. nutrient_indices (list of int): The column indices of the nutrients to plot. chart_type (str): The type of chart to generate ('bar' or 'pie'). popup (bool): to ask if you want to popup new webview window or embed to gui Returns: bytes (html_encoded string) Raises: ValueError: If an invalid chart type is provided. Usage: nutrient_plotter(df, 0, [16, 18, 20, 22], 'bar') ``` """ product_name = df.iloc[row_index, 1] nutrient_values = df.iloc[row_index, nutrient_indices].fillna(0).astype(float) nutrient_names = df.columns[nutrient_indices] if chart_type == 'bar': fig = go.Figure(data=go.Bar(x=nutrient_names, y=nutrient_values, marker_color='skyblue')) fig.update_layout(xaxis_title='Nutrients', yaxis_title='Value') elif chart_type == 'pie': fig = go.Figure(data=go.Pie(labels=nutrient_names, values=nutrient_values)) # fig.update_layout(title=f'Nutrient of {product_name}') else: raise ValueError('Invalid chart type. Please choose either "bar" or "pie".') html_string = pio.to_html(fig, include_plotlyjs='cdn', full_html=False) encoded_html = html_string.encode('utf-8') if popup: with tempfile.NamedTemporaryFile(suffix=".html", delete=False) as temp: filename = temp.name temp.write(encoded_html) webview.create_window('Nutrients Graph', filename) webview.start() else: fig.update_layout(width=250, height=300) temp_dir = tempfile.mkdtemp() image_path = os.path.join(temp_dir, "plot.jpeg") fig.write_image(image_path, format="jpeg") label = tk.Label(frame) img = Image.open(image_path) label.img = ImageTk.PhotoImage(img) label['image'] = label.img label.pack() # print(type(nutrient_plotter(df, 1, [16, 18, 20, 22], 'bar', False, True)))