[英]Save an OrderedDict Object to a csv file
我有以下 object 是我想导出到 csv 的 OrderedDict。
OrderedDict([('AGG', 0.09888),
('BWX', 0.04886),
('DBC', 0.06046),
('EMB', 0.05899),
('HYG', 0.07954),
('IEF', 0.09933),
('LQD', 0.07909),
('MBB', 0.10442),
('MUB', 0.09408),
('PCY', 0.05172),
('RING', 0.0026),
('SHM', 0.03761),
('SHY', 0.11148),
('SPY', 0.07296)])
我正在使用 .to_csv 命令,但错误消息显示:“'collections.OrderedDict' object 没有属性 'to_csv'”
我需要将其转换为 df 或 np 数组吗?
谢谢
改用 pandas
d = OrderedDict([('AGG', 0.09888),
('BWX', 0.04886),
('DBC', 0.06046),
('EMB', 0.05899),
('HYG', 0.07954),
('IEF', 0.09933),
('LQD', 0.07909),
('MBB', 0.10442),
('MUB', 0.09408),
('PCY', 0.05172),
('RING', 0.0026),
('SHM', 0.03761),
('SHY', 0.11148),
('SPY', 0.07296)])
pd.DataFrame.from_dict(d, orient="index").to_csv("data.csv")
您可以手动编写 CSV 文件:
with open('output.csv', 'w') as f:
for key,val in odict.items():
f.write('{},{}\n'.format(key, val))
我的第一选择是使用pandas
,因为从用户实现的角度来看它很简单。
import pandas as pd
pd.DataFrame(d.items()).to_csv('test.csv', index=False)
但是,如果由于某种原因您不想使用 pandas ,那么您可以使用以下实现。
注意:我正在使用下面虚拟数据部分中的
OrderedDict
(d
)。
test.csv
# Create lines
CSV_FILENAME = 'test.csv'
lines = [','.join(list(map(str,items))) for items in d.items()]
# Create csv file
with open(CSV_FILENAME, 'w') as f:
f.write('\n'.join(lines))
test.csv
中的文件输出# Check if csv file was properly created
with open(CSV_FILENAME, 'r') as f:
s = f.read()
print(s)
Output
# test.csv
AGG,0.09888
BWX,0.04886
DBC,0.06046
EMB,0.05899
HYG,0.07954
IEF,0.09933
LQD,0.07909
MBB,0.10442
MUB,0.09408
PCY,0.05172
RING,0.0026
SHM,0.03761
SHY,0.11148
SPY,0.07296
from collections import OrderedDict
d = OrderedDict([('AGG', 0.09888),
('BWX', 0.04886),
('DBC', 0.06046),
('EMB', 0.05899),
('HYG', 0.07954),
('IEF', 0.09933),
('LQD', 0.07909),
('MBB', 0.10442),
('MUB', 0.09408),
('PCY', 0.05172),
('RING', 0.0026),
('SHM', 0.03761),
('SHY', 0.11148),
('SPY', 0.07296)])
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.