Delete test2.py

test2.py

-import matplotlib.pyplot as plt
-import numpy as np
-from matplotlib.colors import LinearSegmentedColormap
-import matplotlib.patches as patches
-
-# Create custom colormap
-colors = [(255/255, 255/255, 30/255), (255/255, 196/255, 0/255)]  # RGB values for #ffff1e and #ffc400
-custom_yellow_cmap = LinearSegmentedColormap.from_list('custom_yellow', colors)
-
-np.random.seed(19680801)
-
-# Create figure directly without subplot
-fig = plt.figure(figsize=(8, 6))
-ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])  # [left, bottom, width, height]
-
-N = 10
-y = np.arange(N)
-x = np.random.rand(N)
-
-# Create horizontal bars
-bars = ax.barh(y, x, height=0.7)
-
-# Apply gradient to each bar
-for bar in bars:
-    # Get the coordinates of the bar
-    x0, y0 = bar.get_xy()
-    width = bar.get_width()
-    height = bar.get_height()
-    
-    # Set the bar's face color to none (remove default color)
-    bar.set_facecolor('none')
-    
-    # Create multiple thin rectangles to simulate a gradient
-    steps = 50
-    for i in range(steps):
-        left = x0 + (i/steps) * width
-        rect_width = width/steps
-        color = custom_yellow_cmap(i/steps)
-        rect = patches.Rectangle((left, y0), rect_width, height,
-                                linewidth=0,
-                                color=color)
-        ax.add_patch(rect)
-
-# Set limits and labels
-ax.set_xlim(0, 1)
-ax.set_ylim(-0.5, N-0.5)
-ax.set_title('Horizontal Bar Chart with Yellow Gradient')
-ax.set_xlabel('Values')
-ax.set_ylabel('Categories')
-
-plt.show()
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