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Seaborn distplot仅整数

[英]Seaborn distplot only whole numbers

How can I make a distplot with seaborn to only have whole numbers? 我怎样才能让seaborn变成只有整数的图?

My data is an array of numbers between 0 and ~18. 我的数据是0到〜18之间的数字数组。 I would like to plot the distribution of the numbers. 我想画出数字的分布。

Impressions
0      210
1     1084
2     2559
3     4378
4     5500
5     5436
6     4525
7     3329
8     2078
9     1166
10     586
11     244
12     105
13      51
14      18
15       5
16       3
dtype: int64

Code I'm using: 我正在使用的代码:

sns.distplot(Impressions,
              # bins=np.arange(Impressions.min(), Impressions.max() + 1),
              # kde=False,
             axlabel=False,
             hist_kws={'edgecolor':'black', 'rwidth': 1})
plt.xticks = range(current.Impressions.min(), current.Impressions.max() + 1, 1)

Plot looks like this: 情节看起来像这样:

在此处输入图片说明

What I'm expecting: 我期望的是:

  • The xlabels should be whole numbers xlabel应该是整数
  • Bars should touch each other 条形应该互相接触
  • The kde line should simply connect the top of the bars. kde线应仅连接条形图的顶部。 By the looks of it, the current one assumes to have 0s between (x, x + 1) , hence why the downward spike (This isn't required, I can turn off kde) 从它的外观来看,当前的一个假设在(x, x + 1)之间有0,因此为什么会有向下的尖峰(这不是必需的,我可以关闭kde)

Am I using the correct tool for the job or distplot shouldn't be used for whole numbers? 我是否应为作业或分配图使用正确的工具?

For your problem can be solved bellow code, 对于您的问题可以通过下面的代码解决,

import seaborn as sns # for data visualization
import numpy as np # for numeric computing
import matplotlib.pyplot as plt # for data visualization

arr = np.array([1,2,3,4,5,6,7,8,9])

sns.distplot(arr, bins = arr, kde = False)
plt.xticks(arr)
plt.show()

enter image description here 在此处输入图片说明

In this way, you can plot histogram using seaborn sns.distplot() function. 这样,您可以使用seaborn sns.distplot()函数绘制直方图。

Note: Whatever data you will pass to bins and plt.xticks(). 注意:无论传递到bins和plt.xticks()的任何数据。 It should be an ascending order. 它应该是一个升序。

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