Python 当列中应该只有数字时如何替换非数字值
Python How replace non numeric values in a column when it should be only numeric
Python 如何在列中仅应为数字时替换非数字值
目标是找到列 ["campaignid"] 中的所有非数值,并为它们指定一个数值。
dataframe:
2790 8/31/2019 143679198
2791 8/10/2019 143679198
2792 8/10/2019 brand
2793 8/10/2019 brand
2794 8/10/2019 143679198
2795 8/10/2019 site
2796 8/10/2019 site
我的尝试
cw= cw["campaignid"].replace(cw["campaignid"]({'brand': "283494005"}), inplace=True)
#error: NoneType' object is not subscriptable
# Tried with for loop as well, but isnt replacing it.
count= 0
for x in cw.campaignid:
if x == "brand":
x = "283494005"
print(f"brand now is.. {x}")
elif x == "site":
x = "283494007"
print(f"site now is.. {x}")
else:
count+= 1
想要的结果
仅数值
2790 8/31/2019 143679198
2791 8/10/2019 143679198
2792 8/10/2019 283494005
2793 8/10/2019 283494005
2794 8/10/2019 143679198
2795 8/10/2019 283494007
2796 8/10/2019 283494007
你可以试试:
cw["campaignid"]=cw["campaignid"].replace({'brand':283494005,'site':283494007}).astype(int)
Python 如何在列中仅应为数字时替换非数字值
目标是找到列 ["campaignid"] 中的所有非数值,并为它们指定一个数值。
dataframe:
2790 8/31/2019 143679198
2791 8/10/2019 143679198
2792 8/10/2019 brand
2793 8/10/2019 brand
2794 8/10/2019 143679198
2795 8/10/2019 site
2796 8/10/2019 site
我的尝试
cw= cw["campaignid"].replace(cw["campaignid"]({'brand': "283494005"}), inplace=True)
#error: NoneType' object is not subscriptable
# Tried with for loop as well, but isnt replacing it.
count= 0
for x in cw.campaignid:
if x == "brand":
x = "283494005"
print(f"brand now is.. {x}")
elif x == "site":
x = "283494007"
print(f"site now is.. {x}")
else:
count+= 1
想要的结果
仅数值
2790 8/31/2019 143679198
2791 8/10/2019 143679198
2792 8/10/2019 283494005
2793 8/10/2019 283494005
2794 8/10/2019 143679198
2795 8/10/2019 283494007
2796 8/10/2019 283494007
你可以试试:
cw["campaignid"]=cw["campaignid"].replace({'brand':283494005,'site':283494007}).astype(int)