
366
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附录
2022-06-30 -1.825116 -0.336949 0.676227
2022-07-31 -0.553321 -1.323696 0.341391
2022-08-31 -0.652803 -0.916504 1.260779
2022-09-30 -0.340685 0.616657 0.710605
2022-10-31 -0.723832 -0.206284 2.310688
In [178]: df.query('no2 > 0.1')
Out[178]: no1 no2 no3
2022-01-31 -0.804458 0.320932 -0.025483
2022-04-30 -0.732239 0.207433 0.152912
2022-09-30 -0.340685 0.616657 0.710605
In [179]: a = -0.5
In [180]: df.query('no1 > @a')
Out[180]: no1 no2 no3
2022-02-28 -0.160134 0.020135 0.363992
2022-03-31 -0.267572 -0.459848 0.959027
2022-09-30 ...