我有一个名为df的Pandas数据帧,包含以下内容:
Symbol Cat Beta Eps MktCap
2350 FBP Foreign Regional Banks 0 0 0
2351 FNBC Foreign Regional Banks 0 0 0
2353 BSBR Foreign Regional Banks 0 0 0
2354 BBD Foreign Regional Banks 0 0 0
2355 HDB Foreign Regional Banks 0 0 0
2356 BCH Foreign Regional Banks 0 0 0
2358 WF Foreign Regional Banks 0 0 None
2359 SMFG Foreign Regional Banks 0 0 None
2360 BFR Foreign Regional Banks 0 0 0
2361 BCA Foreign Regional Banks 0 0 0
2362 BPOP Foreign Regional Banks 0 0 None
2363 CIB Foreign Regional Banks 0 0 0
2364 ITUB Foreign Regional Banks 0 0 0
2365 BMA Foreign Regional Banks 0 0 0
2366 KB Foreign Regional Banks 0 0 None
2367 BBDO Foreign Regional Banks 0 0 0
2368 BSMX Foreign Regional Banks 0 0 None
2369 BBVA Foreign Regional Banks 0 0 None
2370 SHG Foreign Regional Banks 0 0 0
2352 DB Foreign Regional Banks 1.08 0 0
2357 MFG Foreign Regional Banks 6.101694915 0 None
我使用以下Python代码:
^{pr2}$结果df2没有过滤掉Beta的0值,这意味着它保持等于df。我怎么解决这个问题? 谢谢
我认为您可以尝试通过^{} 将}(那么}):
float
转换为dtype
列Beta
是{type
显然是{相关问题 更多 >
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