閱讀CSV移調大熊貓

Question

我有一個數據集看起來如下：

Name : joe 
Job : Crazy Consultant 
Hired : 4/12/2011 3:38:55 AM 
Stats : crazy, bald head 
Pay : $5000 Monthly 

Name : Matt 
Job : Crazy Receptionist 
Hired : 4/12/2014 3:38:55 PM 
Stats : crazy, Lots of hair 

Name : Adam 
Job : Crazy Drinker 
Hired : 4/12/2017 3:38:55 AM 
Stats : crazy, unknown 
Term : 4/12/2017 3:38:55 PM 

我閱讀和獲取數據如下：

df = pd.read_csv(r"pathtomycsv.csv", encoding="UTF-16", delimiter='\s+:').transpose() 

輸出的上述：（就像一個例子）

Name  Job    Hired     Stats    Name  Job    Hired     Stats 
Joe  Crazy Consultant 4/12/2011 3:38:55 AM crazy, bald head  Matt  Crazy Consultant 4/12/2011 3:38:55 AM crazy, bald head 

最後，我想借我的數據集從上面，並通過組合頭t將其改造成一個集像下面總共如下：

Name  Job    Hired     Stats    Pay   Term 
Joe  Crazy Consultant 4/12/2011 3:38:55 AM crazy, bald head  $5000 Monthly N/A 
Matt  Crazy Receptionist 4/12/2014 3:38:55 PM crazy, Lots of hair N/A   N/A 
Adam  Crazy Drinker  4/12/2017 3:38:55 AM crazy, unknown  N/A   4/12/2017 3:38:55 PM 

Answer 1

您可以嘗試像這樣：

import pandas as pd 

df = pd.read_csv('file_name',sep='\s+:\s+',header=None).pivot(columns=0, values=1) 
df.index = [df.index, df.Name.notnull().cumsum() - 1] 
df = df.stack().reset_index(name='val') 
df = df.pivot(index='Name', columns=0, values='val') 
df 

輸出：

Answer 2

問題的出現是因爲在日期中有更多的冒號。使用"\s+:\s+"作爲分隔符。 （是的，它可以是一個正則表達式。）

以下代碼適用於我將文件轉換爲所需的表格。我假設'名字'總是一組中的第一行。

df = pd.read_csv("yourfile", delimiter='\s+:\s+',header=None) 
df = df.reset_index() 
df['index'][df[0]!='Name'] = np.nan 
df['index'] = df['index'].fillna(method='ffill').astype(int) 
df.set_index(['index',0])[1].unstack().set_index('Name') 
#0     Hired     Job   Pay 
#Name                
#joe 4/12/2011 3:38:55 AM Crazy Consultant $5000 Monthly 
#Matt 4/12/2014 3:38:55 PM Crazy Receptionist   None 
#Adam 4/12/2017 3:38:55 AM  Crazy Drinker   None