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所以我試圖編輯整個列單元格,將單元格從包含整數和字符串的列更改爲整數部分。從數據幀如何將數據幀的列從浮點數更改爲整數(Pandas)
實際列:
0 11212; xxxxxxxxxx xxxxxxxx
1 11212; xxxxxxxxxx xxxxxxxx
2 11212; xxxxxxxxxx xxxxxxxx
3 11212; xxxxxxxxxx xxxxxxxx
8 667788; xxxxxxx xxxxxxxxxxxxx xxxxxx
9 55555; xxxxxxx xxxxxxxxxxxxx xxxxxx
10 55555; xxxxxxx xxxxxxxxxxxxx xxxxxx
11 55555; xxxxxxx xxxxxxxxxxxxx xxxxxx
12 33333; xxxxxxx xxxxxxxxxxxxx xxxxxx
13 333; xxx xxxxx @ xxx xxx 2 xxxx
14 9991; xxxx; xxxxxx xxxxx xxxx @ 2 xxx
18 1635; vvvvvvvvvvvv vvvvvv 10
19 1635; vvvvvvvvvvvv vvvvvv 10
20 1635; vvvvvvvvvvvv vvvvvv 10
21 1635; vvvvvvvvvvvv vvvvvv 10
32 1712; Cxxxx xxxxxxxx; xxx 0
33 1712; Cxxxx xxxxxxxx; xxx 0
34 1712; Cxxxx xxxxxxxx; xxx 0
35 1712; Cxxxx xxxxxxxx; xxx 0
這是我正在
import pandas as pd
import re
# import excel file from Trello
xlsx = pd.ExcelFile("/home/deon/Documents/Work_Stuff/Trello.xls")
# create data frame from excel file on sheet 1
df2 = pd.read_excel(xlsx,'Sheet1')
df3 = pd.DataFrame(data=df2)
# delete columns not relative to us
df3.drop(df3.columns[[0,5,10,11]],inplace=True,axis=1)
df3.columns= "Date*", "Due date", "Week*", "Card", "Board", "List", "S", "E 1st"
df3[:, 6] = df3.iloc[:,6].apply(lambda x: x.split(';')[0])
print df2.head()
# Also tried
digits = df3.iloc[:, 4].apply(lambda x: re.findall('\d+', str(x)))
df3.iloc[:, 4] = digits.str.get(0).astype(int)
print df3.head()
這在我看來,第一個代碼塊會給你你想要的,但是以字符串形式。你只需要將它轉換爲int。你從中得到了什麼輸出? – ASignor
AttributeError:'numpy.float64'對象沒有屬性'split' –
我收到的第二個示例:ValueError:無法將NA轉換爲整數 –