如何从熊猫的一系列数据框中删除空数据框？

Question

In python, I have a pandas series filled with pandas dataframes. However, sometimes an empty dataframe occurs in the series. Because they are causing trouble, I want to filter them out. I the following: serie[not serie.empty] , serie[!serie.empty] , but both is giving me errors. As alternative, I first replaced the empty data frames by 0, and then tried this: serie[serie != 0] , but this is ambigu according to the error. Does anyone have any suggestions? Thanks in advance.

Answer 1

A pandas Series has no empty method. You can use map to ask each element of the series to return its empty attribute:

from operator import attrgetter
serie[~serie.map(attrgetter('empty'))]

Answer 2

A series of DataFrames?

You can check if a dataframe is empty with df.empty, so you could do

serie[[not df.empty for df in serie]]