diff --git a/PyPI/setup.cfg b/PyPI/setup.cfg
index 1d779f0..0b2aa44 100644
--- a/PyPI/setup.cfg
+++ b/PyPI/setup.cfg
@@ -1,7 +1,7 @@
 [metadata]
 # replace with your username:
 name = guan
-version = 0.1.92
+version = 0.1.93
 author = guanjihuan
 author_email = guanjihuan@163.com
 description = An open source python package
diff --git a/PyPI/src/guan.egg-info/PKG-INFO b/PyPI/src/guan.egg-info/PKG-INFO
index c90c1d3..d0f8b8b 100644
--- a/PyPI/src/guan.egg-info/PKG-INFO
+++ b/PyPI/src/guan.egg-info/PKG-INFO
@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: guan
-Version: 0.1.92
+Version: 0.1.93
 Summary: An open source python package
 Home-page: https://py.guanjihuan.com
 Author: guanjihuan
diff --git a/PyPI/src/guan/machine_learning.py b/PyPI/src/guan/machine_learning.py
index 96c94d3..47b8a61 100644
--- a/PyPI/src/guan/machine_learning.py
+++ b/PyPI/src/guan/machine_learning.py
@@ -191,4 +191,21 @@ def load_train_data(x_train, y_train, batch_size=32):
     from torch.utils.data import DataLoader, TensorDataset
     train_dataset = TensorDataset(x_train, y_train)
     train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True)
-    return train_loader
\ No newline at end of file
+    return train_loader
+
+# 数据的主成分分析PCA
+def pca_of_data(data, n_components=None, standard=1):
+    from sklearn.decomposition import PCA
+    if standard==1:
+        from sklearn.preprocessing import StandardScaler
+        scaler = StandardScaler()
+        data_scaled = scaler.fit_transform(data)
+    else:
+        data_scaled = data
+    if n_components==None:
+        pca = PCA()
+    else:
+        pca = PCA(n_components=n_components)
+    data_transformed = pca.fit_transform(data_scaled)
+    explained_variance_ratio = pca.explained_variance_ratio_
+    return data_transformed, explained_variance_ratio
\ No newline at end of file