我正在尝试将字典转换为数据框,然后将其导出为 csv 文件,但由于某种原因,当程序导出数据框时,它会更改列和行。
df = pd.read_csv('test.csv')
for i in range(len(df['name'])):
names.append(df['name'][i])
balances.append(df['balance'][i])
def acc_creation(name):
names.append(name)
dict = {'name': names, 'balance': balances}
new_df = pd.DataFrame.from_dict(
dict, orient='index', columns=['name', 'balance'])
new_df.to_csv('test.csv', encoding='utf-8', sep=',',
header=False, na_rep=0, index=True)
然后它停止工作,这是我得到的错误:
Traceback (most recent call last):
File "/Users/darkmbs/Desktop/python/test.py", line 9, in <module>
balances.append(df['balance'][i])
File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/pandas/core/frame.py", line 3024, in __getitem__
indexer = self.columns.get_loc(key)
File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/pandas/core/indexes/base.py", line 3082, in get_loc
raise KeyError(key) from err
KeyError: 'balance'
我想要的输出:
name,balance
xyzz,0
abc,0
我得到的输出:
name,xyzz,abcd
balance,0,0
答案 0 :(得分:1)
您面临的问题是 names
和 balances
的长度不同。当您调用 acc_creation(name)
时,您将额外的元素添加到 names
(names.append(name)
),但不会添加到 balance
,因此存在长度不匹配。你可以做的是:
import pandas as pd
import numpy as np
def acc_creation(name):
names.append(name)
balances.append(0) # Or any value
new_df = pd.DataFrame(np.column_stack([names, balances]),
columns=['name', 'balance'])
new_df.to_csv('test.csv', encoding='utf-8', sep=',',
header=True, na_rep=0, index=True)
答案 1 :(得分:0)
我相信你只是删除:
orient='index',
如果您收到该错误消息,请让我们查看一些原始 csv,以便我们对其进行测试并了解原因。