在 Pandas Python 中检查所有列后删除没有值的行

Question

I have a dataframe like below. I would like to check all columns and delete rows if no values.

Answer 1

你可以用dropna检查

df = df.dropna(how = 'all')

Answer 2

df.dropna()

在此处查看 Pandas 文档以获取更多信息

Answer 3

Use the dropna() function for your dataframe.

df.dropna(axis=0, how="all")

axis=0 performs deletion on rows how="all" deletes the rows if all the columns for that row are empty. Use " any" if you want the row to be deleted in case of any missing column. You can also use the thresh=<int> parameter to delete the row if the number of missing values exceeds the threshold.