Pandas中不同DataFrame列相乘返回全NaN的问题排查

我有两个DataFrame，需要将dataframe1的指定多列与dataframe2的mass_frac列相乘，但执行以下代码后结果全为NaN，且所有列均为数值型字段：

raw_material_LCI = dataframe1[["climate change","ozone depletion",
              "ionising radiation, hh","photochemical ozone formation, hh",
              "particulate matter","human toxicity, non-cancer",
              "human toxicity, cancer","acidification",
              "eutrophication, freshwater","eutrophication, marine",
              "eutrophication, terrestrial","ecotoxicity, freshwater",
              "land use", "resource use, fossils","resource use, minerals and metals",
              "water scarcity"]] * dataframe2["mass_frac"]

但如果将这些列与单个数值0.7相乘，却能得到正常的数值结果：

raw_material_LCI = dataframe1[["climate change","ozone depletion",
              "ionising radiation, hh","photochemical ozone formation, hh",
              "particulate matter","human toxicity, non-cancer",
              "human toxicity, cancer","acidification",
              "eutrophication, freshwater","eutrophication, marine",
              "eutrophication, terrestrial","ecotoxicity, freshwater",
              "land use", "resource use, fossils","resource use, minerals and metals",
              "water scarcity"]] * 0.7

我查阅了多篇相关文章仍未找到解决办法，想请教该问题的原因是什么？

内容的提问来源于stack exchange，提问作者BlueRhino254