Pandas Python中的數據框理解以創建新的數據框

Question

我對Pandas非常陌生，但希望根據名稱爲Mel的條件創建另一個數據框。它看起來像我的新數據幀只是一個指針（僅基於打印出的索引號）的唯一舊指針。

我基本上是在尋找這相當於：

BabyDataSet = [['Bob', 968], ['Jessica', 155], ['Mary', 77], ['John', 578], ['Mel', 973]] 
filtered_list = [x for x in BabyDataSet if x[0] == 'Mel'] 
print filtered_list 
df = pd.DataFrame(data=filtered_list, columns=['Names', 'Births']) 
print df 

mycode的：

import pandas as pd 

BabyDataSet = [['Bob', 968], ['Jessica', 155], ['Mary', 77], ['John', 578], ['Mel', 973]] 
#create dataframe 
df = pd.DataFrame(data=BabyDataSet, columns=['Names', 'Births']) 

#create a new dataframe for Bob 
new_df = df.ix[['Mel' in x for x in df['Names']]] 
print new_df 

Answer 1

無需走DF，只是通過一個布爾條件過濾DF：

In [216]: 
new_df = df[df['Names']=='Mel'] 
new_df 

Out[216]: 
    Names Births 
4 Mel  973 

編輯

重置索引電話reset_index()，至於是否new_df是對原稿DF參考與否，它不是：

In [224]: 
new_df = df[df['Names']=='Mel'] 
new_df = new_df.reset_index() 
new_df 

Out[224]: 
    index Names Births 
0  4 Mel  973 

In [225]:  
new_df['Names'] = 'asdas' 
df 

Out[225]: 
    Names Births 
0  Bob  968 
1 Jessica  155 
2  Mary  77 
3  John  578 
4  Mel  973