熊猫：使用＆运算符过滤行不会减少数据框

Question

I have been reviewing some Posts on stack overflow, but have not found an appropriate answer to my question. I have a dataframe with three columns: player_name, dribbling and pace

df2[df2['pace']>50 & (df2['dribbling']>50)].count()

shows 16882 entries, which is the whole dataset

df2[df2['pace']>50].count()

shows 15713 entries and

df2[df2['dribbling']>50].count()

shows 15089 entries

Why does the df2[df2['pace']>50 & (df2['dribbling']>50)].count() not reduce the dataset and instead shows all entries?

Answer 1

尝试这个：

df2[(df2['pace']>50) & (df2['dribbling']>50)].count()