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: 'Series' object has no attribute 'iterrows'
我不太明白这个错误，因为“accounts”是一个 pandas 数据框。
accounts["Number"] is a Series对象，而不是 DataFrame。要么迭代一遍accounts.iterrows()并采取Number每行的列，或使用Series.items() method https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.items.html.
迭代数据框：
for i, row in accounts.iterrows():
if str(row['Number']) == "27*******5":
print(row["F"], row["Number"])
or over Series.items():
for i, number in accounts['Number'].items():
if str(number) == "27*******5":
print(accounts["F"][i], number)
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