从pandas数据帧中删除行，其中句子的句子长度超过某个字长

Question

I want to remove the rows from the pandas dataframe, that contains the strings from a particular column whose length is greater than the desired length.

For example:

Input frame:

X    Y
0    Hi how are you.
1    An apple
2    glass of water
3    I like to watch movie

Now, say I want to remove the rows which has the string of words with length greater than or equal to 4 from the dataframe.

The desired output frame must be:

X    Y
1    An apple
2    glass of water

Row with value 0,3 in column 'X' is removed as the number of words in column 0 is 4 and column 3 is 5 respectively.

Answer 1

First split values by whitespace, get number of rows by Series.str.len and check by inverted condition >= to < with Series.lt for boolean indexing :

df = df[df['Y'].str.split().str.len().lt(4)]
#alternative with inverted mask by ~
#df = df[~df['Y'].str.split().str.len().ge(4)]
print (df)
   X               Y
1  1        An apple
2  2  glass of water

Answer 2

You can count the spaces:

df[df.Y.str.count('\s+').lt(3)]

   X               Y
1  1        An apple
2  2  glass of water