diff --git a/02.recognize_digits/README.en.md b/02.recognize_digits/README.en.md
index c5efb71f10bcaede1335e3acd955a2ae806e75b2..7423f7aa98626f265d4fe2e55d1ee3b2383a65e4 100644
--- a/02.recognize_digits/README.en.md
+++ b/02.recognize_digits/README.en.md
@@ -259,6 +259,7 @@ def event_handler_plot(event):
 ```
 
 `event_handler` is used to plot some text data when training.
+
 ```python
 lists = []
 
diff --git a/02.recognize_digits/index.en.html b/02.recognize_digits/index.en.html
index 45c85c8290baebb379c4f87a594230ee07836c2f..251ebb3232bc7b1cf92533f255cfa680f3befb71 100644
--- a/02.recognize_digits/index.en.html
+++ b/02.recognize_digits/index.en.html
@@ -301,6 +301,7 @@ def event_handler_plot(event):
 ```
 
 `event_handler` is used to plot some text data when training.
+
 ```python
 lists = []
 
diff --git a/03.image_classification/README.en.md b/03.image_classification/README.en.md
index 0bb0775eaa3f689b4646e854cf5d6dd9f6d72263..2c243c62737cb217ec00df7103ac9b7b378e08d5 100644
--- a/03.image_classification/README.en.md
+++ b/03.image_classification/README.en.md
@@ -397,6 +397,34 @@ feeding={'image': 0,
 
 Callback function `event_handler` will be called during training when a pre-defined event happens.
 
+`event_handler_plot`is used to plot a figure like below：
+
+![png](./image/train_and_test.png)
+
+```python
+from paddle.v2.plot import Ploter
+
+train_title = "Train cost"
+test_title = "Test cost"
+cost_ploter = Ploter(train_title, test_title)
+
+step = 0
+def event_handler_plot(event):
+    global step
+    if isinstance(event, paddle.event.EndIteration):
+        if step % 1 == 0:
+            cost_ploter.append(train_title, step, event.cost)
+            cost_ploter.plot()
+        step += 1
+    if isinstance(event, paddle.event.EndPass):
+        result = trainer.test(
+            reader=paddle.batch(
+                paddle.dataset.cifar.test10(), batch_size=128),
+            feeding=feeding)
+        cost_ploter.append(test_title, step, result.cost)
+```
+
+`event_handler` is used to plot some text data when training.
 
 ```python
 # event handler to track training and testing process
@@ -422,7 +450,7 @@ Finally, we can invoke `trainer.train` to start training:
 trainer.train(
     reader=reader,
     num_passes=200,
-    event_handler=event_handler,
+    event_handler=event_handler_plot,
     feeding=feeding)
 ```
 
diff --git a/03.image_classification/README.md b/03.image_classification/README.md
index e97cb3365591320bef7c2dd167a7b81fd79e46be..0eea28f906e1a63c1703c7d660e4bd9987df2a04 100644
--- a/03.image_classification/README.md
+++ b/03.image_classification/README.md
@@ -389,6 +389,35 @@ feeding={'image': 0,
 
 可以使用`event_handler`回调函数来观察训练过程，或进行测试等, 该回调函数是`trainer.train`函数里设定。
 
+`event_handler_plot`可以用来利用回调数据来打点画图:
+
+![png](./image/train_and_test.png)
+
+```python
+from paddle.v2.plot import Ploter
+
+train_title = "Train cost"
+test_title = "Test cost"
+cost_ploter = Ploter(train_title, test_title)
+
+step = 0
+def event_handler_plot(event):
+    global step
+    if isinstance(event, paddle.event.EndIteration):
+        if step % 1 == 0:
+            cost_ploter.append(train_title, step, event.cost)
+            cost_ploter.plot()
+        step += 1
+    if isinstance(event, paddle.event.EndPass):
+        result = trainer.test(
+            reader=paddle.batch(
+                paddle.dataset.cifar.test10(), batch_size=128),
+            feeding=feeding)
+        cost_ploter.append(test_title, step, result.cost)
+```
+
+`event_handler` 用来在训练过程中输出文本日志
+
 ```python
 # End batch and end pass event handler
 def event_handler(event):
@@ -413,7 +442,7 @@ def event_handler(event):
 trainer.train(
     reader=reader,
     num_passes=200,
-    event_handler=event_handler,
+    event_handler=event_handler_plot,
     feeding=feeding)
 ```
 
diff --git a/03.image_classification/image/train_and_test.png b/03.image_classification/image/train_and_test.png
new file mode 100644
index 0000000000000000000000000000000000000000..c6336a9a69b95dc978719ce68896e3e752e67fed
Binary files /dev/null and b/03.image_classification/image/train_and_test.png differ
diff --git a/03.image_classification/index.en.html b/03.image_classification/index.en.html
index 4e4b413ab81a5b14702b2338040f2ad60fc27f33..c28836ac766f49924fa10b56045de17178cde3e1 100644
--- a/03.image_classification/index.en.html
+++ b/03.image_classification/index.en.html
@@ -439,6 +439,34 @@ feeding={'image': 0,
 
 Callback function `event_handler` will be called during training when a pre-defined event happens.
 
+`event_handler_plot`is used to plot a figure like below：
+
+![png](./image/train_and_test.png)
+
+```python
+from paddle.v2.plot import Ploter
+
+train_title = "Train cost"
+test_title = "Test cost"
+cost_ploter = Ploter(train_title, test_title)
+
+step = 0
+def event_handler_plot(event):
+    global step
+    if isinstance(event, paddle.event.EndIteration):
+        if step % 1 == 0:
+            cost_ploter.append(train_title, step, event.cost)
+            cost_ploter.plot()
+        step += 1
+    if isinstance(event, paddle.event.EndPass):
+        result = trainer.test(
+            reader=paddle.batch(
+                paddle.dataset.cifar.test10(), batch_size=128),
+            feeding=feeding)
+        cost_ploter.append(test_title, step, result.cost)
+```
+
+`event_handler` is used to plot some text data when training.
 
 ```python
 # event handler to track training and testing process
@@ -464,7 +492,7 @@ Finally, we can invoke `trainer.train` to start training:
 trainer.train(
     reader=reader,
     num_passes=200,
-    event_handler=event_handler,
+    event_handler=event_handler_plot,
     feeding=feeding)
 ```
 
diff --git a/03.image_classification/index.html b/03.image_classification/index.html
index 6c178be6bb8e4ae60ba033be1505101413636128..8678bde12918bbf847f810242041bd130be5cacb 100644
--- a/03.image_classification/index.html
+++ b/03.image_classification/index.html
@@ -431,6 +431,35 @@ feeding={'image': 0,
 
 可以使用`event_handler`回调函数来观察训练过程，或进行测试等, 该回调函数是`trainer.train`函数里设定。
 
+`event_handler_plot`可以用来利用回调数据来打点画图:
+
+![png](./image/train_and_test.png)
+
+```python
+from paddle.v2.plot import Ploter
+
+train_title = "Train cost"
+test_title = "Test cost"
+cost_ploter = Ploter(train_title, test_title)
+
+step = 0
+def event_handler_plot(event):
+    global step
+    if isinstance(event, paddle.event.EndIteration):
+        if step % 1 == 0:
+            cost_ploter.append(train_title, step, event.cost)
+            cost_ploter.plot()
+        step += 1
+    if isinstance(event, paddle.event.EndPass):
+        result = trainer.test(
+            reader=paddle.batch(
+                paddle.dataset.cifar.test10(), batch_size=128),
+            feeding=feeding)
+        cost_ploter.append(test_title, step, result.cost)
+```
+
+`event_handler` 用来在训练过程中输出文本日志
+
 ```python
 # End batch and end pass event handler
 def event_handler(event):
@@ -455,7 +484,7 @@ def event_handler(event):
 trainer.train(
     reader=reader,
     num_passes=200,
-    event_handler=event_handler,
+    event_handler=event_handler_plot,
     feeding=feeding)
 ```