Question

我一直在尝试逐行进行pandas DF的多次下降：

df_clean = df_merged[df_merged.GDP_current != '..']
df_clean = df_clean[df_clean.GDP_growth != '..']

在一条线上有更有效的方法吗？我尝试使用下面的代码，但它不起作用：

df_clean = df_merged['GDP_current' != '..'] | df_merged['GDP_growth' != '..'] | df_merged['GDP_per_capita' != '..']

OR

df_clean = df_merged.drop[df_merged['GDP_growth' == '..'] | df_merged['GDP_current' == '..'] | df_merged['GDP_per_capita' == '..']]

Answer 1

然后，由于运营商优先权，您需要将条件包装在括号中：

df_clean = df_merged[(df_merged['GDP_current' != '..']) | (df_merged['GDP_growth' != '..']) | (df_merged['GDP_per_capita' != '..'])]