diff --git a/Essential/plotter.py b/Essential/plotter.py
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+++ b/Essential/plotter.py
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+import tkinter as tk
+import webbrowser
+import plotly.graph_objects as go
+import plotly.io as pio
+import tempfile
+import sqlite3
+import pandas as pd
+
+class plotter:
+    def __init__(self) -> None:
+        self.df = pd.read_sql_query("SELECT * FROM food_data", sqlite3.connect(r'D:\Food-Nutrient-Viewer-Tkinter\Essential\data\food_data.db'))
+
+    def nutrient_plotter(self, df, row_index, nutrient_indices, chart_type, popup=True, to_html_str=False):
+        """
+        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').
+
+        Returns:
+            bytes (html_encoded string)
+
+        Raises:
+            ValueError: If an invalid chart type is provided.
+
+        Usage:
+            nutrient_plotter(df, 0, [16, 18, 20, 22], 'bar')
+
+        NOTE: To embed in tkinter use this code block
+        ```py
+        import io
+        from PIL import Image
+
+        en_html = nutrient_plotter(df, 1, [16, 18, 20, 22], 'bar', to_html_str=True)
+        stream = io.BytesIO(str_html)
+        image = Image.open(stream)
+        photo = tk.PhotoImage(image)
+        label = tk.Label(root, image=photo)
+        label.pack()
+        ```
+
+        """
+        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(title=f'Nutrient Values for {product_name}', 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 Composition for {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)
+
+            webbrowser.open(filename)
+        if to_html_str:
+            return encoded_html
+
+# print(type(nutrient_plotter(df, 1, [16, 18, 20, 22], 'bar', False, True)))
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