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add of notebook image generation

Jérôme BUISINE 4 年之前
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6591112e2e
共有 3 个文件被更改,包括 1548 次插入3 次删除
  1. 1 1
      analysis/statistic_analysis_svd.ipynb
  2. 1545 0
      analysis/svd_entropy_analysis_MDPI.ipynb
  3. 2 2
      display/display_svd_data_scene_file.py

+ 1 - 1
analysis/statistic_analysis_svd.ipynb

@@ -262,7 +262,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.1"
   }
  },
  "nbformat": 4,

文件差异内容过多而无法显示
+ 1545 - 0
analysis/svd_entropy_analysis_MDPI.ipynb


+ 2 - 2
display/display_svd_data_scene_file.py

@@ -154,7 +154,7 @@ def display_svd_values(p_scene, p_thresholds, p_interval, p_indices, p_feature,
 
 
     # display all data using matplotlib (configure plt)
-    fig, ax = plt.subplots(figsize=(30, 22))
+    fig, ax = plt.subplots(figsize=(30, 15))
     ax.set_facecolor('#FFFFFF')
     #fig.patch.set_facecolor('#F9F9F9')
 
@@ -182,7 +182,7 @@ def display_svd_values(p_scene, p_thresholds, p_interval, p_indices, p_feature,
     ax.set_ylim(start_ylim, end_ylim)
 
     plot_name = scene_name + '_' + p_feature + '_' + str(p_step) + '_' + p_mode + '_' + str(p_norm) + '.png'
-    plt.title('Tend of Singular values at different samples of ' + p_label + ' scene', fontsize=40)
+    # plt.title('Tend of Singular values at different samples of ' + p_label + ' scene', fontsize=40)
     plt.savefig(plot_name, transparent=True)
 
 def main():