AttributeError:“系列"对象没有属性"iterrows" [英] AttributeError: 'Series' object has no attribute 'iterrows'
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问题描述
accounts = pd.read_csv('C:/*******/New_export.txt', sep=",", dtype={'number': object})
accounts.columns = ["Number", "F"]
for i, j in accounts["Number"].iterrows(): #i represents the row(index number), j is the number
if (str(j) == "27*******5"):
print(accounts["F"][i], accounts["Number"][i])
我收到以下错误:
AttributeError:系列"对象没有属性"iterrows"
AttributeError: 'Series' object has no attribute 'iterrows'
我不太明白这个错误,因为帐户"是一个 Pandas 数据框.请协助.
I don't quite understand the error since "accounts" is a pandas dataframe. Please assist.
推荐答案
accounts ["Number"]
是 Series 对象,而不是DataFrame.遍历 accounts.iterrows()
并从每一行中获取 Number
列,或使用
accounts["Number"]
is a Series object, not a DataFrame. Either iterate over accounts.iterrows()
and take the Number
column from each row, or use the Series.iteritems()
method.
遍历数据框:
for i, row in accounts.iterrows():
if str(row['Number']) == "27*******5":
print(row["F"], row["Number"])
或超过 Series.iteritems()
:
for i, number in accounts['Number'].iteritems():
if str(number) == "27*******5":
print(accounts["F"][i], number)
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