Update pages/EDA.py

pages/EDA.py

@@ -141,11 +141,11 @@ st.subheader("Proportion of Crops")
 crop_counts = df['Crop'].value_counts()
 explode = [0.1 if i == 0 else 0 for i in range(len(crop_counts))]
 
-fig, ax = plt.subplots(figsize=(4, 2))  # Reduced plot size
+fig, ax = plt.subplots(figsize=(2, 1))  # Reduced plot size
 ax.pie(
     crop_counts, labels=crop_counts.index, autopct='%1.1f%%',
-    startangle=140, explode=explode, colors=sns.color_palette("rainbow", len(crop_counts)),
-    textprops={'fontsize': 3}  # Decreased label size
+    startangle=100, explode=explode, colors=sns.color_palette("rainbow", len(crop_counts)),
+    textprops={'fontsize': 0.5}  # Decreased label size
 )
 ax.set_title("Proportion of Crops", fontsize=3)
 st.pyplot(fig)
@@ -161,13 +161,13 @@ avg_potassium = df['Potassium'].mean()
 # Function to plot bar charts
 def plot_nutrient_crops(data, title):
     crop_counts = data.value_counts()
-    fig, ax = plt.subplots(figsize=(5, 2))  # Adjusted plot size for better display
+    fig, ax = plt.subplots(figsize=(4, 2))  # Adjusted plot size for better display
     crop_counts.plot(kind='bar', color='skyblue', ax=ax)
-    ax.set_xlabel('Crops', fontsize=7)
-    ax.set_ylabel('Count', fontsize=7)
-    ax.set_title(title, fontsize=7)
-    ax.tick_params(axis='x', labelsize=7)  # Adjust x-axis label size
-    ax.tick_params(axis='y', labelsize=7)  # Adjust y-axis label size
+    ax.set_xlabel('Crops', fontsize=6)
+    ax.set_ylabel('Count', fontsize=6)
+    ax.set_title(title, fontsize=6)
+    ax.tick_params(axis='x', labelsize=6)  # Adjust x-axis label size
+    ax.tick_params(axis='y', labelsize=6)  # Adjust y-axis label size
     st.pyplot(fig)
 
 # Plot: Crops in Nutrient-Rich Soil
@@ -284,13 +284,13 @@ avg_Rainfall = df['Rainfall'].mean()
 # Function to plot bar charts
 def plot_climate_crops(data, title):
     clim_crop_counts = data.value_counts()
-    fig, ax = plt.subplots(figsize=(5, 2))  # Adjusted plot size for better display
+    fig, ax = plt.subplots(figsize=(4, 2))  # Adjusted plot size for better display
     clim_crop_counts.plot(kind='bar', color='skyblue', ax=ax)
-    ax.set_xlabel('Crops', fontsize=8)
-    ax.set_ylabel('Count', fontsize=8)
-    ax.set_title(title, fontsize=8)
-    ax.tick_params(axis='x', labelsize=8)  # Adjust x-axis label size
-    ax.tick_params(axis='y', labelsize=8)  # Adjust y-axis label size
+    ax.set_xlabel('Crops', fontsize=6)
+    ax.set_ylabel('Count', fontsize=6)
+    ax.set_title(title, fontsize=6)
+    ax.tick_params(axis='x', labelsize=6)  # Adjust x-axis label size
+    ax.tick_params(axis='y', labelsize=6)  # Adjust y-axis label size
     st.pyplot(fig)
 
 # Plot: Crops in climate factors