Optimize figure dimensions for sharp 900px display

- Set figsize to 6x3.75 inches at 300 DPI for 1800x1125px output
- Generates 2x resolution for crisp display at 900px width
- Removed redundant DPI settings to avoid conflicts
- Standardized configuration across all files

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

new_system_prompt.txt

@@ -33,8 +33,8 @@ DATA SAFETY:
 - Use .dropna() to remove missing values before analysis
 
 PLOTTING REQUIREMENTS:
-- Create plots for visualization requests: plt.figure(figsize=(14, 8))
-- Save plots with ultra-high resolution: filename = f"plot_{uuid.uuid4().hex[:8]}.png"; plt.savefig(filename, dpi=600, bbox_inches='tight', facecolor='white', edgecolor='none')
+- Create plots for visualization requests: plt.figure(figsize=(6, 3.75))
+- Save plots with high resolution: filename = f"plot_{uuid.uuid4().hex[:8]}.png"; plt.savefig(filename, dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none')
 - Close plots: plt.close()
 - Store filename: answer = filename
 - For non-plots: answer = "text result"

src.py

@@ -145,11 +145,11 @@ def ask_question(model_name, question):
         """Safely execute generated code and handle errors"""
         local_vars = {}
         
-        # Force matplotlib to use high DPI settings in exec environment
+        # Force matplotlib to use high resolution settings in exec environment
         plt.style.use('vayuchat.mplstyle')
-        plt.rcParams['figure.dpi'] = 600
-        plt.rcParams['savefig.dpi'] = 600
-        plt.rcParams['figure.figsize'] = [14, 8]
+        plt.rcParams['figure.dpi'] = 300
+        plt.rcParams['savefig.dpi'] = 300
+        plt.rcParams['figure.figsize'] = [6, 3.75]
         plt.rcParams['font.size'] = 14
         plt.rcParams['axes.titlesize'] = 16
         plt.rcParams['axes.labelsize'] = 14
@@ -267,17 +267,8 @@ import seaborn as sns
 import uuid
 import calendar
 import numpy as np
-# Set professional matplotlib styling with high DPI
+# Set professional matplotlib styling with high resolution
 plt.style.use('vayuchat.mplstyle')
-# Additional high-resolution settings
-plt.rcParams['figure.dpi'] = 600
-plt.rcParams['savefig.dpi'] = 600
-plt.rcParams['font.size'] = 14
-plt.rcParams['axes.titlesize'] = 16
-plt.rcParams['axes.labelsize'] = 14
-plt.rcParams['xtick.labelsize'] = 12
-plt.rcParams['ytick.labelsize'] = 12
-plt.rcParams['legend.fontsize'] = 12
 df = pd.read_csv("AQ_met_data.csv")
 df["Timestamp"] = pd.to_datetime(df["Timestamp"])
 states_df = pd.read_csv("states_data.csv")

vayuchat.mplstyle

@@ -13,10 +13,10 @@ ytick.labelsize: 11
 legend.fontsize: 11
 
 # Figure & DPI - Ultra High Resolution
-figure.dpi: 600
+figure.dpi: 300
 figure.facecolor: white
 figure.edgecolor: none
-figure.figsize: 14, 8
+figure.figsize: 6, 3.75
 figure.autolayout: True
 
 # Modern Color Palette (inspired by Tailwind/GitHub)
@@ -85,7 +85,7 @@ text.color: 1f2937
 text.antialiased: True
 
 # Savefig - Ultra High Resolution
-savefig.dpi: 600
+savefig.dpi: 300
 savefig.facecolor: white
 savefig.edgecolor: none
 savefig.bbox: tight