pandas.read_csv 返回空數據框

Question

這是我的 csv 文件：

uipid,shid,pass,camera,pointheight,pointxpos,PointZPos,deffound,HighestHeight,XPosition,ZPosition,RLevel,Rejected,MixedP
50096853911,6345214,1,SXuXeXCamera,218,12600,82570,no,-1,-1,-1,880,no,498
49876879038,6391743,1,SZuZeZCamera,313,210400,187807,no,-1,-1,-1,880,no,388

這是我的代碼：

df=pd.read_csv('.\sources\data.csv', delimiter=',', names=['uipid','shid','pass','camera','pointheight','pointxpos','PointZPos','deffound','HighestHeight', 'XPosition','ZPosition','RLevel','Rejected','MixedP'], skip_blank_lines=True, skipinitialspace=True, engine='python')

當我選擇一列print(df.loc[(df['uipid']==50096853911))我得到一個空的 df。

空數據幀列[uipid,shid,pass,camera,pointheight,pointxpos,PointZPos,deffound,HighestHeight,XPosition,ZPosition,RLevel,Rejected,MixedP] 索引：[]

而當我設的dtype在pd.read_csv ：

df=pd.read_csv('.\sources\data.csv', delimiter=',' ,dtype={'uipid':int, 'shid': int, 'pass':int, 'camera':str, 'pointheight':int, 'pointxpos':int , 'PointZPos':int, 'deffound':str, 'HighestHeight':int, 'XPosition':int,'ZPosition':int, 'RLevel':int, 'Rejected':str, 'MixedP':int}, names=['uipid','shid','pass','camera','pointheight','pointxpos','PointZPos','deffound','HighestHeight', 'XPosition','ZPosition','RLevel','Rejected','MixedP'], skip_blank_lines=True, index_col=False, encoding="utf-8", skipinitialspace=True)

我收到此錯誤：

類型錯誤：無法根據規則“安全”將數組從 dtype('O') 轉換為 dtype('int32')

ValueError：int() 的無效文字，基數為 10：'uipid'

Answer 1

嘗試將header = 0放在您的第二個read_csv示例中，並讓我們知道它是否有效。

Answer 2

嘗試這個：

df_trail=pd.read_csv('/content/New Text Document.txt',
  delimiter=',',
  names=['uipid', 'shid', 'pass', 'camera', 'pointheight', 'pointxpos', 'PointZPos', 'deffound', 'HighestHeight', 'XPosition', 'ZPosition', 'RLevel', 'Rejected', 'MixedP'],
  skip_blank_lines=True, skipinitialspace=True, engine='python',header=0)