在have a dataframe from AMAZON DATASET中,数据集有一个'help'列,如下所示:'help':[0,0],其中第一个元素是'yes'投票,第二个元素是'total'投票。你知道吗
我想使用PANDAS(PYTHON)将这些列分成两列。 第一列必须只包含第一个元素。最后一个是第二个元素
import pandas as pd
df.head(5)
reviewerID asin reviewerName helpful
0 A2VNYWOPJ13AFP 0981850006 "Customer" [0,0]
0 A20DWVV8HML3AW 0923587406 "Customer" [1,3]
0 A3VMADADA13AFP 0981587706 "Customer" [0,0]
0 A28XY55TP3Q90O 0541217906 "Customer" [2,4]
0 A5RTTREES110V3 0265478006 "Customer" [0,0]
0 A2VNYWOPJ13AFP 0565777106 "Customer" [1,5]
Index(['reviewerID', 'asin', 'reviewerName', 'helpful'],
dtype='object')
df.helpful[1][0] = 1
df.helpful[1][1] = 3
Do that for all columns
pd.DataFrame(ratings['helpful'], columns = ['Yes','Vote'])
reviewerID asin reviewerName helpful
0 A2VNYWOPJ13AFP 0981850006 "Customer" [0,0]
0 A20DWVV8HML3AW 0923587406 "Customer" [1,3]
0 A3VMADADA13AFP 0981587706 "Customer" [0,0]
0 A28XY55TP3Q90O 0541217906 "Customer" [2,4]
0 A5RTTREES110V3 0265478006 "Customer" [0,0]
0 A2VNYWOPJ13AFP 0565777106 "Customer" [1,5]
helpful dtype=obect
THE GOAL - EXPECTED RESULT
reviewerID asin reviewerName YES TOTAL VOTE
0 A2VNYWOPJ13AFP 0981850006 "Customer" 0 0
0 A20DWVV8HML3AW 0923587406 "Customer" 1 3
0 A3VMADADA13AFP 0981587706 "Customer" 0 0
0 A28XY55TP3Q90O 0541217906 "Customer" 2 4
0 A5RTTREES110V3 0265478006 "Customer" 0 0
0 A2VNYWOPJ13AFP 0565777106 "Customer" 1 5
你可以这样分开它们:
输出:
这是假设有用的条目是列表
编辑-如果列实际上是字符串,即“[0,1]”
相同的输出
或者
相同的输出
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