Merge pull request #31 from Yet-sun/master

translate 41-44

docs/41.md

@@ -4,51 +4,49 @@
 class seaborn.JointGrid(x, y, data=None, height=6, ratio=5, space=0.2, dropna=True, xlim=None, ylim=None, size=None)
 ```
 
-Grid for drawing a bivariate plot with marginal univariate plots.
+用于绘制具有边际单变量图的双变量图的网格。
 
 ```py
 __init__(x, y, data=None, height=6, ratio=5, space=0.2, dropna=True, xlim=None, ylim=None, size=None)
 ```
 
-Set up the grid of subplots.
+设置子图的网格。
 
-参数：`x, y`：strings or vectors
+参数：`x, y`：字符串或向量
 
-> Data or names of variables in `data`.
+> 在 `data`中的数据或变量名
 
-`data`：DataFrame, optional
+`data`：DataFrame, 可选
 
-> DataFrame when `x` and `y` are variable names.
+> 当 `x` and `y` 是变量名的时候为DataFrame。
 
-`height`：numeric
+`height`：数字
 
-> Size of each side of the figure in inches (it will be square).
+> 图中每一条边的大小（以英寸为单位）
 
-`ratio`：numeric
+`ratio`：数字
 
-> Ratio of joint axes size to marginal axes height.
+> 联合轴大小与边缘轴高度的比率。
 
-`space`：numeric, optional
+`space`：数字，可选
 
-> Space between the joint and marginal axes
+> 联合轴和边缘轴之间的空间
 
-`dropna`：bool, optional
+`dropna`：bool, 可选
 
-> If True, remove observations that are missing from <cite>x</cite> and <cite>y</cite>.
+> 如果为True，则删除 <cite>x</cite> 和 <cite>y</cite>中缺少的观察结果。
 
-`{x, y}lim`：two-tuples, optional
+`{x, y}lim`：二元组，可选
 
-> Axis limits to set before plotting.
+> 在绘图之前设置轴限制。
 
+也可以看看
 
+用于绘制具有多种不同默认绘图类型的双变量图的高级界面。
 
-See also
+例子：
 
-High-level interface for drawing bivariate plots with several different default plot kinds.
-
-Examples
-
-Initialize the figure but don’t draw any plots onto it:
+初始化图形，但不在其上绘制任何图形：
 
 ```py
 >>> import seaborn as sns; sns.set(style="ticks", color_codes=True)
@@ -59,7 +57,7 @@ Initialize the figure but don’t draw any plots onto it:
 
 ![http://seaborn.pydata.org/_images/seaborn-JointGrid-1.png](img/a0e79dac9add2a97da1c95241a6122ab.jpg)
 
-Add plots using default parameters:
+使用默认参数添加绘图：
 
 ```py
 >>> g = sns.JointGrid(x="total_bill", y="tip", data=tips)
@@ -69,7 +67,7 @@ Add plots using default parameters:
 
 ![http://seaborn.pydata.org/_images/seaborn-JointGrid-2.png](img/f984c858bd63441ea9761d632cb76d2c.jpg)
 
-Draw the join and marginal plots separately, which allows finer-level control other parameters:
+分别绘制联合分布图和边缘直方图，这可以以更精细的级别控制其他参数：
 
 ```py
 >>> import matplotlib.pyplot as plt
@@ -81,7 +79,7 @@ Draw the join and marginal plots separately, which allows finer-level control ot
 
 ![http://seaborn.pydata.org/_images/seaborn-JointGrid-3.png](img/3e159b4a38edb79ede76d93a55e2acb9.jpg)
 
-Draw the two marginal plots separately:
+分别绘制两个边缘直方图：
 
 ```py
 >>> import numpy as np
@@ -97,7 +95,7 @@ Draw the two marginal plots separately:
 
 ![http://seaborn.pydata.org/_images/seaborn-JointGrid-4.png](img/1db698012d05626321ac93ffb7668a2c.jpg)
 
-Add an annotation with a statistic summarizing the bivariate relationship:
+添加注释，其中包含总结双变量关系的统计信息：
 
 ```py
 >>> from scipy import stats
@@ -111,7 +109,7 @@ Add an annotation with a statistic summarizing the bivariate relationship:
 
 ![http://seaborn.pydata.org/_images/seaborn-JointGrid-5.png](img/fa99a0a13450712a4f2b13d983b1e766.jpg)
 
-Use a custom function and formatting for the annotation
+使用自定义的函数和注释格式
 
 ```py
 >>> g = sns.JointGrid(x="total_bill", y="tip", data=tips)
@@ -126,7 +124,7 @@ Use a custom function and formatting for the annotation
 
 ![http://seaborn.pydata.org/_images/seaborn-JointGrid-6.png](img/a8307f7ba7809b63c523168fde9e9379.jpg)
 
-Remove the space between the joint and marginal axes:
+移除联合轴和边缘轴之间的空间：
 
 ```py
 >>> g = sns.JointGrid(x="total_bill", y="tip", data=tips, space=0)
@@ -137,7 +135,7 @@ Remove the space between the joint and marginal axes:
 
 ![http://seaborn.pydata.org/_images/seaborn-JointGrid-7.png](img/5beaabfceb79e2eef9563fc3044dd5f6.jpg)
 
-Draw a smaller plot with relatively larger marginal axes:
+绘制具有相对较大边缘轴的较小图：
 
 ```py
 >>> g = sns.JointGrid(x="total_bill", y="tip", data=tips,
@@ -149,7 +147,7 @@ Draw a smaller plot with relatively larger marginal axes:
 
 ![http://seaborn.pydata.org/_images/seaborn-JointGrid-8.png](img/bfc4c60af4e09992569375d51943de88.jpg)
 
-Set limits on the axes:
+设置轴的限制：
 
 ```py
 >>> g = sns.JointGrid(x="total_bill", y="tip", data=tips,
@@ -161,12 +159,18 @@ Set limits on the axes:
 
 ![http://seaborn.pydata.org/_images/seaborn-JointGrid-9.png](img/3a85305cd59104b4d9403deb570373cc.jpg)
 
-Methods
+方法
+
+[`__init__`](#seaborn.JointGrid.__init__ "seaborn.JointGrid.__init__")(x, y[, data, height, ratio, space, …]) | 设置子图的网格设置子图的网格。
+
+`annotate`(func[, template, stat, loc]) | 用关于关系的统计数据来标注绘图。
+
+[`plot`](seaborn.JointGrid.plot.html#seaborn.JointGrid.plot "seaborn.JointGrid.plot")(joint_func, marginal_func[, annot_func]) | 绘制完整绘图的快捷方式。
+
+ [`plot_joint`](seaborn.JointGrid.plot_joint.html#seaborn.JointGrid.plot_joint "seaborn.JointGrid.plot_joint")(func, **kwargs) | 绘制 <cite>x</cite> 和 <cite>y</cite>的双变量图。
+
+[`plot_marginals`](seaborn.JointGrid.plot_marginals.html#seaborn.JointGrid.plot_marginals "seaborn.JointGrid.plot_marginals")(func, **kwargs) | 分别绘制 <cite>x</cite> 和 <cite>y</cite> 的单变量图。
+
+ `savefig`(*args, **kwargs) | 封装 figure.savefig 默认为紧边界框。
 
-| [`__init__`](#seaborn.JointGrid.__init__ "seaborn.JointGrid.__init__")(x, y[, data, height, ratio, space, …]) | Set up the grid of subplots. |
-| `annotate`(func[, template, stat, loc]) | Annotate the plot with a statistic about the relationship. |
-| [`plot`](seaborn.JointGrid.plot.html#seaborn.JointGrid.plot "seaborn.JointGrid.plot")(joint_func, marginal_func[, annot_func]) | Shortcut to draw the full plot. |
-| [`plot_joint`](seaborn.JointGrid.plot_joint.html#seaborn.JointGrid.plot_joint "seaborn.JointGrid.plot_joint")(func, **kwargs) | Draw a bivariate plot of <cite>x</cite> and <cite>y</cite>. |
-| [`plot_marginals`](seaborn.JointGrid.plot_marginals.html#seaborn.JointGrid.plot_marginals "seaborn.JointGrid.plot_marginals")(func, **kwargs) | Draw univariate plots for <cite>x</cite> and <cite>y</cite> separately. |
-| `savefig`(*args, **kwargs) | Wrap figure.savefig defaulting to tight bounding box. |
-| `set_axis_labels`([xlabel, ylabel]) | Set the axis labels on the bivariate axes. |
\ No newline at end of file
+`set_axis_labels`([xlabel, ylabel]) |在双变量轴上设置轴标签。

docs/42.md

@@ -4,16 +4,14 @@
 JointGrid.plot(joint_func, marginal_func, annot_func=None)
 ```
 
-Shortcut to draw the full plot.
+绘制完整绘图的快捷方式。
 
-Use <cite>plot_joint</cite> and <cite>plot_marginals</cite> directly for more control.
+直接使用 <cite>plot_joint</cite> 和 <cite>plot_marginals</cite> 进行更多控制.
 
-参数：**joint_func, marginal_func：callables**
+参数：**joint_func, marginal_func：可调用**
 
-> Functions to draw the bivariate and univariate plots.
+> 绘制双变量和单变量图的函数。
 
+返回值：`self`：JointGrid 实例
 
-返回值：`self`：JointGrid instance
-
-> Returns <cite>self</cite>.
-
+> 返回 <cite>self</cite>.

docs/43.md

@@ -4,18 +4,16 @@
 JointGrid.plot_joint(func, **kwargs)
 ```
 
-Draw a bivariate plot of <cite>x</cite> and <cite>y</cite>.
+绘制 <cite>x</cite> and <cite>y</cite>的双变量图。
 
-参数：`func`：plotting callable
+参数：`func`：可调用的绘图函数
 
-> This must take two 1d arrays of data as the first two positional arguments, and it must plot on the “current” axes.
+> 这必须将两个一维数据数组作为前两个位置参数，并且必须在“当前”轴上绘制。
 
-`kwargs`：key, value mappings
+`kwargs`：键，值映射
 
-> Keyword argument are passed to the plotting function.
+> 关键字参数传递给绘图函数。
 
+返回值：`self`：JointGrid 实例
 
-返回值：`self`：JointGrid instance
-
-> Returns <cite>self</cite>.
-
+> 返回 <cite>self</cite>.

docs/44.md

@@ -4,18 +4,16 @@
 JointGrid.plot_marginals(func, **kwargs)
 ```
 
-Draw univariate plots for <cite>x</cite> and <cite>y</cite> separately.
+分别绘制 <cite>x</cite> 和 <cite>y</cite> 的单变量图。
 
-参数：`func`：plotting callable
+参数：`func`：可调用的绘图函数
 
-> This must take a 1d array of data as the first positional argument, it must plot on the “current” axes, and it must accept a “vertical” keyword argument to orient the measure dimension of the plot vertically.
+> 这必须将一维数据数组作为第一个位置参数，它必须在“当前”轴上绘图，并且它必须接受“垂直”关键字参数以垂直定向图的度量维度。
 
-`kwargs`：key, value mappings
+`kwargs`：键，值映射
 
-> Keyword argument are passed to the plotting function.
+> 关键字参数传递给绘图函数。
 
+返回值：`self`：JointGrid 实例
 
-返回值：`self`：JointGrid instance
-
-> Returns <cite>self</cite>.
-
+> 返回 <cite>self</cite>.