<p>重置索引并指定<code>drop=True</code>。</p>
<pre><code>df = pd.DataFrame({'close': [nan, nan, 48.0, 48.25],
'date': [nan, nan, '2015-09-01', '2015-09-01'],
'hign': [nan, nan, 48.60, 48.33],
'low': [nan, nan, 48.0, 47.91],
'open': [nan, nan, 48.60, 47.91],
'time': [nan, nan, 931.0, 932.0],
'turnover': [nan, nan, 21741726.0, 7614508.0],
'volume': [nan, nan, 449700.0, 158500.0]})
>>> df
date time open hign low close volume turnover
0 NaN NaN NaN NaN NaN NaN NaN NaN
1 NaN NaN NaN NaN NaN NaN NaN NaN
2 2015-09-01 931 48.60 48.60 48.00 48.00 449700 21741726
3 2015-09-01 932 47.91 48.33 47.91 48.25 158500 7614508
>>> df.dropna(how='any').reset_index(drop=True)
date time open hign low close volume turnover
0 2015-09-01 931 48.60 48.60 48.00 48.00 449700 21741726
1 2015-09-01 932 47.91 48.33 47.91 48.25 158500 7614508
</code></pre>