lmstack
/
data_analyze_platform


			
				
					
						
						
							123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115
							<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html><head><title>Python: module IndexStaByPeriod</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
</head><body bgcolor="#f0f0f8">

<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="heading">
<tr bgcolor="#7799ee">
<td valign=bottom>&nbsp;<br>
<font color="#ffffff" face="helvetica, arial">&nbsp;<br><big><big><strong>IndexStaByPeriod</strong></big></big></font></td
><td align=right valign=bottom
><font color="#ffffff" face="helvetica, arial"><a href=".">index</a><br><a href="file:d%3A%5Cplatform%5Cplatform%5Cmiddle%5Cindexstabyperiod.py">d:\platform\platform\middle\indexstabyperiod.py</a></font></td></tr></table>
    <p><tt>基于某个周期（一天，一周...）的指标统计库</tt></p>
<p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#aa55cc">
<td colspan=3 valign=bottom>&nbsp;<br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Modules</strong></big></font></td></tr>
    
<tr><td bgcolor="#aa55cc"><tt>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</tt></td><td>&nbsp;</td>
<td width="100%"><table width="100%" summary="list"><tr><td width="25%" valign=top><a href="IndexStaByOneCycle.html">IndexStaByOneCycle</a><br>
<a href="PathSetting.html">PathSetting</a><br>
</td><td width="25%" valign=top><a href="Tools.html">Tools</a><br>
<a href="datetime.html">datetime</a><br>
</td><td width="25%" valign=top><a href="numpy.html">numpy</a><br>
<a href="pandas.html">pandas</a><br>
</td><td width="25%" valign=top><a href="sys.html">sys</a><br>
</td></tr></table></td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ee77aa">
<td colspan=3 valign=bottom>&nbsp;<br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Classes</strong></big></font></td></tr>
    
<tr><td bgcolor="#ee77aa"><tt>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</tt></td><td>&nbsp;</td>
<td width="100%"><dl>
<dt><font face="helvetica, arial"><a href="builtins.html#object">builtins.object</a>
</font></dt><dd>
<dl>
<dt><font face="helvetica, arial"><a href="IndexStaByPeriod.html#IndexStaByPeriod">IndexStaByPeriod</a>
</font></dt></dl>
</dd>
</dl>
 <p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ffc8d8">
<td colspan=3 valign=bottom>&nbsp;<br>
<font color="#000000" face="helvetica, arial"><a name="IndexStaByPeriod">class <strong>IndexStaByPeriod</strong></a>(<a href="builtins.html#object">builtins.object</a>)</font></td></tr>
    
<tr><td bgcolor="#ffc8d8"><tt>&nbsp;&nbsp;&nbsp;</tt></td><td>&nbsp;</td>
<td width="100%">Methods defined here:<br>
<dl><dt><a name="IndexStaByPeriod-__init__"><strong>__init__</strong></a>(self)</dt><dd><tt>Initialize&nbsp;self.&nbsp;&nbsp;See&nbsp;help(type(self))&nbsp;for&nbsp;accurate&nbsp;signature.</tt></dd></dl>

<dl><dt><a name="IndexStaByPeriod-drive_capacity_sta"><strong>drive_capacity_sta</strong></a>(self, cap, df_bms)</dt><dd><tt>计算周期内行车净累积ah<br>
---------输入参数------------<br>
cap&nbsp;:&nbsp;标称容量<br>
df_bms&nbsp;:&nbsp;一段周期内的预处理后的bms数据<br>
df_gps&nbsp;:&nbsp;一段周期内的预处理后的gps数据<br>
---------输出参数------------<br>
sum_ah&nbsp;:&nbsp;本周期的净累积ah</tt></dd></dl>

<dl><dt><a name="IndexStaByPeriod-drive_energy_sta"><strong>drive_energy_sta</strong></a>(self, cap, df_bms)</dt><dd><tt>计算周期内行车净累积能量<br>
---------输入参数------------<br>
cap&nbsp;:&nbsp;标称容量<br>
df_bms&nbsp;:&nbsp;一段周期内的预处理后的bms数据<br>
df_gps&nbsp;:&nbsp;一段周期内的预处理后的gps数据<br>
---------输出参数------------<br>
sum_ah&nbsp;:&nbsp;本周期的净累积能量</tt></dd></dl>

<dl><dt><a name="IndexStaByPeriod-drive_odo_sta"><strong>drive_odo_sta</strong></a>(self, df_bms, df_gps)</dt><dd><tt>计算周期内行车累积行驶里程<br>
---------输入参数------------<br>
df_bms&nbsp;:&nbsp;一段周期内的预处理后的bms数据<br>
df_gps&nbsp;:&nbsp;一段周期内的预处理后的gps数据<br>
---------输出参数------------<br>
sum_odo&nbsp;：&nbsp;累积里程，&nbsp;如果该周期内gps均无效，则返回None<br>
invalid_rate&nbsp;:&nbsp;该周期内gps无效的bms数据行所占比例</tt></dd></dl>

<dl><dt><a name="IndexStaByPeriod-drive_soc_sta"><strong>drive_soc_sta</strong></a>(self, df_bms)</dt><dd><tt>计算周期内行车净累积soc<br>
---------输入参数------------<br>
cap&nbsp;:&nbsp;标称容量<br>
df_bms&nbsp;:&nbsp;一段周期内的预处理后的bms数据<br>
df_gps&nbsp;:&nbsp;一段周期内的预处理后的gps数据<br>
---------输出参数------------<br>
sum_ah&nbsp;:&nbsp;本周期的净累积soc</tt></dd></dl>

<dl><dt><a name="IndexStaByPeriod-drive_time_sta"><strong>drive_time_sta</strong></a>(self, df_bms)</dt><dd><tt>计算周期内累计行车时长/h<br>
---------输入参数------------<br>
cap&nbsp;:&nbsp;标称容量<br>
df_bms&nbsp;:&nbsp;一段周期内的预处理后的bms数据<br>
df_gps&nbsp;:&nbsp;一段周期内的预处理后的gps数据<br>
---------输出参数------------<br>
sum_ah&nbsp;:&nbsp;本周期的累计行车时长</tt></dd></dl>

<hr>
Data descriptors defined here:<br>
<dl><dt><strong>__dict__</strong></dt>
<dd><tt>dictionary&nbsp;for&nbsp;instance&nbsp;variables&nbsp;(if&nbsp;defined)</tt></dd>
</dl>
<dl><dt><strong>__weakref__</strong></dt>
<dd><tt>list&nbsp;of&nbsp;weak&nbsp;references&nbsp;to&nbsp;the&nbsp;object&nbsp;(if&nbsp;defined)</tt></dd>
</dl>
</td></tr></table></td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#55aa55">
<td colspan=3 valign=bottom>&nbsp;<br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Data</strong></big></font></td></tr>
    
<tr><td bgcolor="#55aa55"><tt>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</tt></td><td>&nbsp;</td>
<td width="100%"><strong>CONF_PATH</strong> = r'D:\Platform\platform\CONFIGURE\'</td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#7799ee">
<td colspan=3 valign=bottom>&nbsp;<br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Author</strong></big></font></td></tr>
    
<tr><td bgcolor="#7799ee"><tt>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</tt></td><td>&nbsp;</td>
<td width="100%">lmstack</td></tr></table>
</body></html>