带权重频次检验
<p>[TOC]</p>
<pre><code class="language-python">%matplotlib inline
%load_ext autoreload
%autoreload 2
import meteva.base as meb
import meteva.method as mem
import meteva.perspact as mps
import numpy as np
import pandas as pd
import datetime
import meteva</code></pre>
<h1>GeoBoxPlot</h1>
<p>Geo_Box_Plot(x, areas)，x为输入的数组，areas是对x进行加权的权重系数，Geo_Box_Plot( )函数是对加权后的数组计算最小值、上四分位数、中位数、下四分位数与最大值，并画出箱须图，通过箱须图能够直观地显示数据的异常值，分布的离散程度以及数据的对称性。</p>
<p><font face="黑体" color=Blue size=3><strong>Geo_Box_Plot(frequency_ob,frequency_fo,grade_list)</strong></font> </p>
<table>
<thead>
<tr>
<th style="text-align: left;">参数</th>
<th style="text-align: center;">说明</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align: left;"><strong><font face="黑体" color=Blue size=5>frequency_ob</font></strong></td>
<td style="text-align: center;">观测数据的权重或频次</td>
</tr>
<tr>
<td style="text-align: left;"><strong><font face="黑体" color=Blue size=5>frequency_fo</font></strong></td>
<td style="text-align: center;">预报数据的权重或频次</td>
</tr>
<tr>
<td style="text-align: left;"><strong><font face="黑体" color=Blue size=5>grade_list</font></strong></td>
<td style="text-align: center;">数据的等级</td>
</tr>
</tbody>
</table>
<p><strong>————————————————————————————————————————————————————————————————————————————————————————————————————————————</strong>
<font face="黑体" color=green size=4><strong>返回结果内容说明</strong></font><br />
<img src="https://www.showdoc.com.cn/server/api/attachment/visitFile?sign=3b2e4994698e67bf9c8ed524362ddf19&amp;file=file.png" alt="" /></p>
<pre><code class="language-python">grade_list = [0,1,3,4,5,6,7,8,9,10]
frequency_ob = [4,3,2,1,1,1,0,0,0,1]
frequency_fo = [8,3,2,1,1,1,0,0,0,0]
mem.space.Geo_Box_Plot(frequency_ob, frequency_fo,grade_list,member_list=[&quot;OBS&quot;,&quot;FST&quot;])</code></pre>
<p><img src="https://www.showdoc.com.cn/server/api/attachment/visitFile?sign=86166ec6e3b2f538d910efc4dc77d216&amp;file=file.png" alt="" /></p>
<pre><code class="language-python"></code></pre>
<pre><code class="language-python"></code></pre>