1.在pandas的DataFrame中,我们经常需要根据某属性来选取指定条件的行,这时isin方法就特别有效。
import pandas as pd
df = pd.DataFrame([[1,2,3],[1,3,4],[2,4,3]],index = ['one','two','three'],columns = ['A','B','C'])
print df
# A B C
# one 1 2 3
# two 1 3 4
# three 2 4 3
mask = df['A'].isin([1]) #括号中必须为list
print mask
# one True
# two True
# three False
# Name: A, dtype: bool
print df[mask]
# A B C
# one 1 2 3
# two 1 3 4
import pandas as pd
df = pd.DataFrame([[1,2,3],[2,3,4],[2,4,3],[1,3,7]],
index = ['one','two','three','four'],columns = ['A','B','C'])
print df
# A B C
# one 1 2 3
# two 2 3 4
# three 2 4 3
# four 1 3 7
df.sort_values(by=['A','B'],ascending=[0,1],inplace=True)
print df
# A B C
# two 2 3 4
# three 2 4 3
# one 1 2 3
# four 1 3 7