我有以下数据集：
AC.TO CL=F CNQ.TO CPG.TO ECA.TO IMO.TO SU.TO WJA.TO XEG.TO XFN.TO XGD.TO XOM
Date
2018-03-14 0.016316 0.000493 -0.002574 0.001160 0.012658 -0.008403 -0.003074 0.002465 -0.002755 0.001053 0.001741 -0.012478
2018-03-15 0.002854 0.005089 0.006452 0.010429 -0.019444 -0.003507 0.002135 0.006967 0.004604 0.004208 -0.005213 0.011141
2018-03-16 -0.003557 0.016659 0.019231 0.045872 0.034703 0.009971 0.015621 0.008547 0.023831 0.000000 0.005240 0.009406
2018-03-20 0.043541 0.020270 0.009507 0.035108 0.020935 0.010192 0.024257 -0.001223 0.019178 0.004731 -0.007799 -0.002158
2018-03-21 -0.014483 0.031063 0.032578 0.049234 0.075188 0.024503 0.012306 -0.005714 0.030466 -0.000785 0.013100 0.014191
2018-03-23 -0.011410 0.019383 -0.013548 -0.017279 -0.018277 -0.018224 0.000700 -0.001709 -0.015138 -0.016524 0.027997 -0.008299
2018-03-29 0.032395 0.003711 0.027137 0.024561 0.043446 0.008572 0.014827 0.005516 0.025408 0.009542 0.012987 0.024722
2018-04-03 -0.001140 0.007450 0.043928 -0.002336 0.013991 0.011549 0.010546 0.002114 0.022645 -0.005442 -0.023589 0.024583
2018-04-04 0.002664 0.000787 0.002177 0.012881 -0.012346 0.016101 -0.000227 -0.001688 0.000886 -0.003557 -0.007765 -0.001999
2018-04-09 -0.015498 0.021630 -0.013517 -0.002181 -0.015782 -0.000562 -0.001518 -0.005947 -0.008613 0.005230 -0.010309 0.000000
2018-04-10 -0.001968 0.037763 0.018750 0.036066 0.044461 0.005901 0.006299 -0.016239 0.024327 -0.001095 0.002604 0.029384
2018-04-11 -0.014196 0.017814 0.019585 0.042194 0.027913 0.002793 0.020721 -0.008688 0.017812 -0.008772 0.022511 0.004671
是否有任何查询来列出所有正行（一行不包含负值）
答案 0 :(得分：-1)
您在这里！
temp = df[df >= 0]
result = tmp.dropna(axis=0)
希望这会有所帮助！