update README.md

README.md

@@ -23,44 +23,46 @@ $ python setup.py install
 ```
 
 ## Basic Usage
-
-	from pyecharts import Bar
-
-	attr = ["{}month".format(i) for i in range(1, 13)]
-	attr = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
-	v1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
-	v2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
-	bar = Bar("Bar chart", "precipitation and evaporation one year")
-	bar.add("precipitation", attr, v1, mark_line=["average"], mark_point=["max", "min"])
-	bar.add("evaporation", attr, v2, mark_line=["average"], mark_point=["max", "min"])
-	bar.render()
-
-
+```python
+from pyecharts import Bar
+
+attr = ["{}month".format(i) for i in range(1, 13)]
+attr = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
+v1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
+v2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
+bar = Bar("Bar chart", "precipitation and evaporation one year")
+bar.add("precipitation", attr, v1, mark_line=["average"], mark_point=["max", "min"])
+bar.add("evaporation", attr, v2, mark_line=["average"], mark_point=["max", "min"])
+bar.render()
+```
 
 It will creat a file named render.html in the root directory, open file with your borwser.  
 
-![usage](https://github.com/chenjiandongx/pyecharts/blob/master/images/usage.gif)
+![usage-0](https://github.com/chenjiandongx/pyecharts/blob/master/images/usage-0.gif)
 
 ## Working with pandas & numpy
+```python
+import pandas as pd
+import numpy as np
 
-	import pandas as pd
-	import numpy as np
-	from pyecharts import Bar
+from pyecharts import Bar
 
-	index = pd.date_range('3/8/2017', periods=6, freq='M')
-	df1 = pd.DataFrame(np.random.randn(6), index=index)
-	dtvalue1, pdattr1 = Bar.pdcast(df1)
+index = pd.date_range('3/8/2017', periods=6, freq='M')
+df1 = pd.DataFrame(np.random.randn(6), index=index)
+dtvalue1, pdattr1 = Bar.pdcast(df1)
 
-	df2 = pd.DataFrame(np.random.randn(6), index=index)
-	dtvalue2, pdattr2 = Bar.pdcast(df2)
+df2 = pd.DataFrame(np.random.randn(6), index=index)
+dtvalue2, pdattr2 = Bar.pdcast(df2)
 
-	dtvalue1 = [i[0] for i in dtvalue1]
-	dtvalue2 = [i[0] for i in dtvalue2]
+dtvalue1 = [i[0] for i in dtvalue1]
+dtvalue2 = [i[0] for i in dtvalue2]
 
-	bar = Bar('MyBar', 'precipitation and evaporation one year')
-	bar.add('precipitation', pdattr1,  dtvalue1, mark_line=['average'], mark_point=['max', 'min'])
-	bar.add('evaporation', pdattr2,  dtvalue2, mark_line=['average'], mark_point=['max', 'min'])
-	bar.render()
+bar = Bar('Bar chart', 'Profit and loss situation')
+bar.add('profit', pdattr1,  dtvalue1)
+bar.add('loss', pdattr2,  dtvalue2)
+bar.render()
+```
+![usage-1](https://github.com/chenjiandongx/pyecharts/blob/master/images/usage-1.png)
 
 ## Documentation
 * [中文档案](https://github.com/chenjiandongx/pyecharts/blob/master/document/doc_zh_CN.md)