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추적: • nappo_modular_scalable_reinforcement_learning_pytorch • matplotlib
matplotlib

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양쪽 이전 판이전 판
다음 판		이전 판
matplotlib [2020/01/29 11:11] – [MAP-Elite archive] rex8312matplotlib [2024/03/23 02:38] (현재) – 바깥 편집 127.0.0.1
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 ===== Animation ===== ===== Animation =====
  
-  - http://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/+  * http://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/ 
 +  * [[https://towardsdatascience.com/animate-your-graphs-in-python-in-4-easy-steps-243dccad9a7|Animate your Graphs in Python in 4 Easy Steps! (GIF 파일 만들기)]]
  
  
줄 76: 줄 77:
   * https://towardsdatascience.com/everything-you-need-to-know-about-scatter-plots-for-data-visualisation-924144c0bc5   * https://towardsdatascience.com/everything-you-need-to-know-about-scatter-plots-for-data-visualisation-924144c0bc5
  
-====== imshow ======+===== imshow =====
  
 <code python> <code python>
줄 92: 줄 93:
     else:     else:
         c = (1 - min_diff) * w         c = (1 - min_diff) * w
 +    c = np.clip(c, 0, 1)
     cs.append(c)     cs.append(c)
     ax1.text(0,      ax1.text(0, 
줄 105: 줄 107:
  
 ===== Radar chart ===== ===== Radar chart =====
 +
 +  * https://matplotlib.org/3.1.1/gallery/specialty_plots/radar_chart.html#sphx-glr-gallery-specialty-plots-radar-chart-py
  
 <code python> <code python>
줄 122: 줄 126:
 </code> </code>
  
-====== Subplot ======+===== Subplot =====
  
   * https://matplotlib.org/3.1.1/gallery/recipes/create_subplots.html#sphx-glr-gallery-recipes-create-subplots-py   * https://matplotlib.org/3.1.1/gallery/recipes/create_subplots.html#sphx-glr-gallery-recipes-create-subplots-py
  
-====== Embedded plot ======+===== Embedded plot =====
  
 <code python> <code python>
줄 167: 줄 171:
 </code> </code>
  
-===== MAP-Elite archive ==== 
  
-<code python> 
-behavior_description = np.random.randint(0, 3, (20, 4)) 
-quality = np.random.random(20) 
  
-map_size = behavior_description.max(0) - behavior_description.min(0) + 1+===== Neural Net Weights/Activation =====
  
-height_size = 1 +  * [[https://matplotlib.org/3.1.1/gallery/specialty_plots/hinton_demo.html#sphx-glr-gallery-specialty-plots-hinton-demo-py|hinton diagram]]
-width_size = 1 +
-height_idx = [] +
-width_idx = [] +
-for idx, s in enumerate(map_size): +
- if height_size > width_size: +
-    width_idx.append(idx) +
-    width_size *= s +
-    else: +
-    height_idx.append(idx) +
- height_size *= s+
  
-height_ticks = map_size[height_idx] 
-height = np.product(height_ticks) 
-width_ticks = map_size[width_idx] 
-width = np.product(width_ticks) 
-bd_map = np.zeros((height, width)) 
- 
- bd_idxs = behavior_description - behavior_description.min(0) 
- 
-for bd_idx, qv in zip(bd_idxs, quality): 
- y = 0 
- for i, hi in enumerate(bd_idx[height_idx]): 
-    y += hi * np.product(height_ticks[i+1:]) 
- x = 0 
-    for i, wi in enumerate(bd_idx[width_idx]): 
-    x += wi * np.product(width_ticks[i+1:]) 
- bd_map[y][x] = qv 
- 
-fig = plt.figure() 
-ax = fig.add_subplot(111) 
-ax.set_xticklabels([]) 
-ax.set_yticklabels([]) 
-n_solutions = len(quality) 
-search_space_size = np.product(bd_map.shape) 
-ax.set_xlabel(f'{n_solutions:,} / {search_space_size:,} = {n_solutions/search_space_size:.3f}') 
-im = ax.imshow(bd_map, cmap='jet', vmin=0, vmax=1) 
-fig.colorbar(im) 
-plt.show() 
-plt.close() 
-</code> 
  
matplotlib.1580296282.txt.gz · 마지막으로 수정됨: (바깥 편집)