0    14
1    16
2    30
3    49
4    80

0    4
1    16
3    49

   l = [14,16,30,49,80]
   data=pd.Series([14,16,30,49,80])
   result =pd.Series(filter(lambda x: x==int(m.sqrt(x)+0.5)**2,l))

import pandas as pd
import math as m
l = [4,16,30,49,80]
data = pd.Series(l)
print(data)
lis = []
for i in range(len(data)):
   for j in data:
      if(data[i]==int(m.sqrt(j)+0.5)**2):
         lis.append(data[i])
print(“序列中的完全平方数：\n”, data[data.isin(lis)])

给定序列：
0    4
1    16
2    30
3    49
4    80
dtype: int64
序列中的完全平方数：
0    4
1    16
3    49
dtype: int64

import re
import math as m
l = [14,16,30,49,80]
data = pd.Series([14,16,30,49,80])
print(“给定序列：\n”, data)
result = pd.Series(filter(lambda x: x==int(m.sqrt(x)+0.5)**2,l))
print(data[data.isin(result)])

给定序列：
0    14
1    16
2    30
3    49
4    80
dtype: int64
完全平方数：
1    16
3    49
dtype: int64