Merge pull request #23 from sfw134/master

Update 34.md

docs/34.md

@@ -4,24 +4,24 @@
 FacetGrid.map_dataframe(func, *args, **kwargs)
 ```
 
-Like `.map` but passes args as strings and inserts data in kwargs.
+和 `.map`类似，但是将args作为字符串传递并将数据插入到kwargs中.
 
-This method is suitable for plotting with functions that accept a long-form DataFrame as a <cite>data</cite> keyword argument and access the data in that DataFrame using string variable names.
+此方法适用于使用接受长格式DataFrame作为<cite>data</cite>关键字参数并使用字符串变量名访问该DataFrame中的数据的函数进行绘图。
 
-参数：`func`：callable
+参数：`func`：可调用
 
-> A plotting function that takes data and keyword arguments. Unlike the <cite>map</cite> method, a function used here must “understand” Pandas objects. It also must plot to the currently active matplotlib Axes and take a <cite>color</cite> keyword argument. If faceting on the <cite>hue</cite> dimension, it must also take a <cite>label</cite> keyword argument.
+> 一个接受数据和关键字参数的绘图函数。与&lt;cite&gt;map&lt;/cite&gt;方法不同,此处使用的函数必须“理解”Pandas对象。它也必须绘制到当前活动的matpltolib轴并采用&lt;cite&gt;color&lt;/cite&gt;关键字参数。如果在<cite>hue</cite>维度上进行分面，必须也使用<cite>label</cite>关键字参数。
 
-`args`：strings
+`args`：字符串
 
-> Column names in self.data that identify variables with data to plot. The data for each variable is passed to &lt;cite&gt;func&lt;/cite&gt; in the order the variables are specified in the call.
+> 数据的列名，用于标识要绘制数据的变量。每个变量的数据按照调用中指定变量的顺序传递给<cite>func</cite>。
 
-`kwargs`：keyword arguments
+`kwargs`：关键字参数
 
-> All keyword arguments are passed to the plotting function.
+> 所有的关键字参数被传递给绘图函数。
 
 
-返回值：`self`：object
+返回值：`self`：对象
 
-> Returns self.
+> 返回自身。