pandas AttributeError: 'Series' 对象没有属性 'iterrows'
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AttributeError: 'Series' object has no attribute 'iterrows'
提问by Kusi
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])
I get the following error:
我收到以下错误：
AttributeError: 'Series' object has no attribute 'iterrows'
AttributeError: 'Series' 对象没有属性 'iterrows'
I don't quite understand the error since "accounts" is a pandas dataframe. Please assist.
我不太明白这个错误，因为“帐户”是一个Pandas数据框。请协助。
回答by Martijn Pieters
accounts["Number"]is a Seriesobject, not a DataFrame. Either iterate over accounts.iterrows()and take the Numbercolumn from each row, or use the Series.iteritems()method.
accounts["Number"]是一个Series对象，而不是一个 DataFrame。要么迭代accounts.iterrows()并Number从每一行中取出列，要么使用Series.iteritems()方法。
Iterating over the dataframe:
迭代数据帧：
for i, row in accounts.iterrows():
if str(row['Number']) == "27*******5":
print(row["F"], row["Number"])
or over Series.iteritems():
或结束Series.iteritems()：
for i, number in accounts['Number'].iteritems():
if str(number) == "27*******5":
print(accounts["F"][i], number)
