seaborn distplot 用法

1. 介绍

seaborn.distplot(a, bins=None, hist=True, kde=True, rug=False, fit=None, hist_kws=None, 
kde_kws=None, rug_kws=None, fit_kws=None, color=None, vertical=False, norm_hist=False, 
axlabel=None, label=None, ax=None)

其中，
a : 序列Series或列表或1维数组；
bins : 直方图桶的个数；
hist : bool, optional，是否绘制直方图；
color : matplotlib color, optional；
label : string, optional，说明的标签；
ax : matplotlib axis, optional；
kde : bool, optional，Whether to plot a gaussian kernel density estimate.
rug : bool, optional，Whether to draw a rugplot on the support axis.
fit : random variable object, optional；An object with fit method, returning a tuple that can be passed to a pdf method a positional arguments following an grid of values to evaluate the pdf on.

vertical : bool, optional；If True, observed values are on y-axis.
norm_hist : bool, optional
If True, the histogram height shows a density rather than a count. This is implied if a KDE or fitted density is plotted.
axlabel : string, False, or None, optional
Name for the support axis label. If None, will try to get it from a.namel if False, do not set a label.

2. 使用

示例1：

import seaborn as sns,numpy as np
sns.set()
np.random.seed(0)
x=np.random.randn(100)
ax=sns.distplot(x)

效果：

示例2：

ax = sns.distplot(x, fit=norm, kde=False)

reference:

1. seaborn tutorials