Update pages/EDA.py

pages/EDA.py

@@ -467,36 +467,32 @@ st.markdown("""
 
 
 
-# **Scatter Plot: Rainfall vs. Crop**
-st.subheader(" Rainfall vs. Crop")
+
+st.markdown("<h2 style='color: #D35400; font-size: 23px;'> Rainfall vs. Crop</h2>", unsafe_allow_html=True)
 fig, ax = plt.subplots(figsize=(6, 4))  # Reduced size
 sns.scatterplot(data=df, x="Rainfall", y="Crop", hue="Crop", palette="rainbow", legend=False, ax=ax)
 ax.set_xlabel("Rainfall (mm)", fontsize=8)
 ax.set_ylabel("Crop", fontsize=8)
-ax.set_title("Rainfall vs Crop Type", fontsize=10)
+ax.set_title("Rainfall vs Crop Type", fontsize=7)
 st.pyplot(fig)
 
-# **Scatter Plot: Temperature vs. Humidity**
-st.subheader("Temperature vs. Humidity")
+st.markdown("<h2 style='color: #D35400; font-size: 23px;'> Temperature vs. Humidity</h2>", unsafe_allow_html=True)
 fig, ax = plt.subplots(figsize=(6, 4))  # Reduced size
 sns.scatterplot(data=df, x="Temperature", y="Humidity", alpha=0.6, color="blue", ax=ax)
 ax.set_xlabel("Temperature (°C)", fontsize=8)
 ax.set_ylabel("Humidity (%)", fontsize=8)
-ax.set_title("Temperature vs Humidity", fontsize=10)
+ax.set_title("Temperature vs Humidity", fontsize=7)
 st.pyplot(fig)
 
-# **Heatmap: Correlation Between Soil & Climate Factors**
-st.subheader("Correlation Heatmap of Soil & Climate Factors")
+st.markdown("<h2 style='color: #D35400; font-size: 23px;'> Correlation Heatmap of Soil & Climate Factors</h2>", unsafe_allow_html=True)
 corr_matrix = df[['Nitrogen', 'Phosphorus', 'Potassium', 'Temperature', 'Humidity', 'pH_Value', 'Rainfall']].corr()
 fig, ax = plt.subplots(figsize=(6, 4))  # Reduced size
 sns.heatmap(corr_matrix, annot=True, cmap="coolwarm", ax=ax)
-ax.set_title("Correlation Heatmap", fontsize=10)
+ax.set_title("Correlation Heatmap", fontsize=7)
 st.pyplot(fig)
 
-# **Crop Recommendations Based on Season**
-st.subheader("🌾 Crop Recommendations by Season")
+st.markdown("<h2 style='color: #D35400; font-size: 23px;'> 🌾 Crop Recommendations by Season</h2>", unsafe_allow_html=True)
 
-# **Define Seasonal Conditions**
 summer_conditions = (df["Temperature"].between(20, 40)) & (df["Rainfall"].between(50, 200)) & (df["Humidity"].between(40, 70))
 rainy_conditions = (df["Temperature"].between(20, 30)) & (df["Rainfall"] > 200) & (df["Humidity"].between(65, 95))
 winter_conditions = (df["Temperature"].between(10, 20)) & (df["Rainfall"] < 150) & (df["Humidity"].between(30, 70))