Pandas 删除熊猫中的数据
如果我的问题很简单，请原谅我，但我对编程游戏非常陌生。如何在不影响列间距的情况下删除数据集中以“否”值开头的所有数据Pandas 删除熊猫中的数据,pandas,Pandas,如果我的问题很简单，请原谅我，但我对编程游戏非常陌生。如何在不影响列间距的情况下删除数据集中以“否”值开头的所有数据 20140331 220452 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 20140331 221051 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 1.0 1.5 -32
20140331 220452 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 221051 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 1.0 1.5 -32.0 -24.6 1.5
20140331 221651 -32.0 -32.0 -0.5 -32.0 6.0 0.0 9.0 7.0 6.5 -7.6 9.0
20140331 222252 -32.0 -32.0 -4.0 -32.0 1.5 2.0 8.5 8.0 1.5 -8.7 8.5
20140331 222852 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 223451 0.5 1.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -24.7 1.0
20140331 224052 9.5 -32.0 -32.0 9.0 9.5 -32.0 8.0 9.0 9.5 -4.6 9.5
20140331 224652 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 225252 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 225852 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 230452 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 231051 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 231652 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 232252 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 232852 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 233451 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 234052 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 234652 2.5 2.0 -32.0 2.5 -32.0 -32.0 2.5 2.0 -32.0 -12.9 2.5
20140331 235252 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
20140331 235853 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0 -32.0
使用数组掩码选择所需数据，然后使用numpy的NaN进行分配。假设这些是浮动
df[df < 0] = np.nan
df[df<0]=np.nan
nandf[df]即可发布所需的输出