如果子数据帧包含超过40%的数据，如何删除它问题的回答

如果子数据帧包含超过40%的数据，如何删除它

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大家好，我有这样的问题： 我有400.000个对象的面板数据，如果其中包含超过40%的NAN，我想删除对象 例如： <pre><code> inn time_reg revenue1 balans1 equity1 opprofit1 \ 0 0101000021 2006 457000.0 115000.0 28000.0 29000.0 1 0101000021 2007 1943000.0 186000.0 104000.0 99000.0 2 0101000021 2008 2812000.0 318000.0 223000.0 127000.0 3 0101000021 2009 2673000.0 370000.0 242000.0 39000.0 4 0101000021 2010 3240000.0 435000.0 45000.0 NaN ... ... ... ... ... ... ... 4081810 9909403758 2003 6943000.0 2185000.0 2136000.0 -97000.0 4081811 9909403758 2004 6504000.0 2245000.0 2196000.0 -34000.0 4081812 9909403758 2005 NaN NaN NaN NaN 4081813 9909403758 2006 NaN NaN NaN NaN 4081814 9909403758 2007 NaN NaN NaN NaN grossprofit1 netprofit1 currentassets1 stliabilities1 0 92000.0 18000.0 105000.0 87000.0 1 189000.0 76000.0 176000.0 82000.0 2 472000.0 119000.0 308000.0 95000.0 3 483000.0 29000.0 360000.0 128000.0 4 NaN 35000.0 NaN NaN ... ... ... ... ... 4081810 2365000.0 -59000.0 253000.0 49000.0 4081811 2278000.0 60000.0 425000.0 49000.0 4081812 NaN NaN NaN NaN 4081813 NaN NaN NaN NaN 4081814 NaN NaN NaN NaN </code></pre> 我有这样的数据框，对于按（inn，time_reg）分组的每个子数据框，如果列中的总NAN（收入1平衡1权益1机会1总利润1净利润1当前资产1负债1）超过40%，我需要删除它 我有一个循环的想法，但这需要很多时间例如： <pre><code> inn time_reg revenue1 balans1 equity1 opprofit1 \ 4081809 9909403758 2002 6078000.0 2270000.0 2195000.0 -32000.0 4081810 9909403758 2003 6943000.0 2185000.0 2136000.0 -97000.0 4081811 9909403758 2004 6504000.0 2245000.0 2196000.0 -34000.0 4081812 9909403758 2005 NaN NaN NaN NaN 4081813 9909403758 2006 NaN NaN NaN NaN 4081814 9909403758 2007 NaN NaN NaN NaN grossprofit1 netprofit1 currentassets1 stliabilities1 4081809 1324000.0 NaN 234000.0 75000.0 4081810 2365000.0 -59000.0 253000.0 49000.0 4081811 2278000.0 60000.0 425000.0 49000.0 4081812 NaN NaN NaN NaN 4081813 NaN NaN NaN NaN 4081814 NaN NaN NaN NaN </code></pre> 这个子数据帧应该删除，因为它包含超过40%的NAN <pre><code> inn time_reg revenue1 balans1 equity1 opprofit1 \ 0 0101000021 2006 457000.0 115000.0 28000.0 29000.0 1 0101000021 2007 1943000.0 186000.0 104000.0 99000.0 2 0101000021 2008 2812000.0 318000.0 223000.0 127000.0 3 0101000021 2009 2673000.0 370000.0 242000.0 39000.0 4 0101000021 2010 3240000.0 435000.0 45000.0 NaN 5 0101000021 2011 3480000.0 610000.0 71000.0 NaN 6 0101000021 2012 4820000.0 710000.0 139000.0 149000.0 7 0101000021 2013 5200000.0 790000.0 148000.0 170000.0 8 0101000021 2014 5450000.0 830000.0 155000.0 180000.0 9 0101000021 2015 5620000.0 860000.0 164000.0 189000.0 10 0101000021 2016 5860000.0 885000.0 175000.0 200000.0 11 0101000021 2017 15112000.0 1275000.0 298000.0 323000.0 grossprofit1 netprofit1 currentassets1 stliabilities1 0 92000.0 18000.0 105000.0 87000.0 1 189000.0 76000.0 176000.0 82000.0 2 472000.0 119000.0 308000.0 95000.0 3 483000.0 29000.0 360000.0 128000.0 4 NaN 35000.0 NaN NaN 5 NaN 61000.0 NaN NaN 6 869000.0 129000.0 700000.0 571000.0 7 1040000.0 138000.0 780000.0 642000.0 8 1090000.0 145000.0 820000.0 675000.0 9 1124000.0 154000.0 850000.0 696000.0 10 1172000.0 165000.0 875000.0 710000.0 11 3023000.0 288000.0 1265000.0 977000.0 </code></pre> 此子数据帧包含的NAN少于40%，并且必须位于最终数据帧中

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如果子数据帧包含超过40%的数据，如何删除它

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