cjj-data

app.py

@@ -39,7 +39,7 @@ DG = {
     "kendall's tau": [0.3243, 0.1739, 0.3042, 0.4167],
     "spearman": [0.3505, 0.1857, 0.3264, 0.4512]
 }
-df1 = pd.DataFrame(DG)
+df1 = pd.DataFrame(DG).applymap(lambda x: f"{x:.4f}")
 
 TE = {
     "methods": ["chatglm3-6b", "baichuan2-13b", "chatglm-pro", "gpt-4o-mini"],
@@ -48,7 +48,7 @@ TE = {
     "kendall's tau": [0.1281, 0.0635, 0.2716, 0.3864],
     "spearman": [0.1352, 0.0667, 0.2867, 0.4157]
 }
-df2 = pd.DataFrame(TE)
+df2 = pd.DataFrame(TE).applymap(lambda x: f"{x:.4f}")
 
 SG = {
     "methods": ["chatglm3-6b", "baichuan2-13b", "chatglm-pro", "gpt-4o-mini"],
@@ -57,7 +57,7 @@ SG = {
     "kendall's tau": [0.3957, 0.2688, 0.5092, 0.5001],
     "spearman": [0.4188, 0.2817, 0.5403, 0.5405],
 }
-df3 = pd.DataFrame(SG)
+df3 = pd.DataFrame(SG).applymap(lambda x: f"{x:.4f}")
 
 NFQA = {
     "methods": ["chatglm3-6b", "baichuan2-13b", "chatglm-pro", "gpt-4o-mini"],
@@ -66,7 +66,7 @@ NFQA = {
     "kendall's tau": [0.2332, 0.2389, 0.4440, 0.4235],
     "spearman": [0.2443, 0.2492, 0.4630, 0.4511]
 }
-df4 = pd.DataFrame(NFQA)
+df4 = pd.DataFrame(NFQA).applymap(lambda x: f"{x:.4f}")
 
 # 创建标签页
 tab1, tab2, tab3, tab4 = st.tabs(["DG", "TE", "SG", "NFQA"])