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!pip list|grep pandas
pandas 2.2.3
预测结果表格输出需要调整一下
rows=[]
for i in range(n):
class_name = idx_to_labels[pred_ids[i]][1] # 获取类别名称
label_idx = int(pred_ids[i]) # 获取类别号
wordnet = idx_to_labels[pred_ids[i]][0] # 获取 WordNet
confidence = confs[i] * 100 # 获取置信度
rows.append({'Class':class_name, 'Class_ID':label_idx, 'Confidence(%)':confidence, 'WordNet':wordnet}) # 预测结果表格添加一行
pred_df = pd.DataFrame(rows) # 预测结果表格
display(pred_df) # 展示预测结果表格
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