Python小点dian儿: 按列条件筛选、删除DataFrame的行

遇到清洗数据的问题，需要把某一列中为指定元素的数据，整行去除

尝试了drop却不能到达理想的效果，

isin效果理想。

import pandas as pd
df = pd.DataFrame({"key":['green','red', 'blue'],
            "data1":['a','b','c'],"sorce": [33,61,99]})

  data1    key  sorce
0     a  green     33
1     b    red     61
2     c   blue     99

mport pandas as pd
df = pd.DataFrame({"key":['green','red', 'blue'],
            "data1":['a','b','c'],"sorce": [33,61,99]})
data1 = pd.concat([df,df],ignore_index=True)
data2=data1[-data1.sorce.isin([61])]
print("---------------")
print(data1)
print("---------------")
print(data2)
print("---------------")
data3=data1.drop(data1.ix[:,'sorce']==61)
print(data3)

---------------
  data1    key  sorce
0     a  green     33
1     b    red     61
2     c   blue     99
3     a  green     33
4     b    red     61
5     c   blue     99
---------------
  data1    key  sorce
0     a  green     33
2     c   blue     99
3     a  green     33
5     c   blue     99
---------------
  data1    key  sorce
2     c   blue     99
3     a  green     33
4     b    red     61
5     c   blue     99

Process finished with exit code 0

data.name.isin([筛选元素])

对dataframe的某列（name为列名）进行筛选，加负号的原因是想删除符合条件的行，不写负号是筛选出符合条件的行