使用字典键作为列名写入CSV文件
我有一些数据,格式是字典,像这样:
{Color: Red, Age: 29, Date: October 2nd, Time: 4pm}
我想把这些字典写入一个csv文件,要求“颜色、年龄、日期、时间”作为列标题,然后把数据填入对应的行里。这样,当我再次读取这个csv文件时,数据的格式就和上面提到的一样。
我该怎么做才能实现这个呢?
4 个回答
2
如果你想使用一个标准库,你可以这样做:
>>> import csv
>>> dicts = [{'Color': 'Red', 'Age': '29', 'Date': 'October 2nd', 'Time': '4pm'}, {'Color': 'Yellow', 'Age': '30', 'Date': 'September 3rd', 'Time': '5pm'}]
>>> with open('test.csv', 'wb') as csvfile:
writer = csv.writer(csvfile, delimiter=',',
quotechar='|', quoting=csv.QUOTE_MINIMAL)
for d in dicts:
writer.writerow([d['Color'], d['Age'], d['Date'], d['Time']])
你会在一个csv文件中得到以下输出,内容会分成两行:
Red,29,October 2nd,4pm
Yellow,30,September 3rd,5pm
4
用Pandas来做这个事情非常简单:
import pandas as pd
data = [
{"A":1.0, "B":2.0, "C":"foo"},
{"A":100, "B":20, "C":"bar"},
{"A":0.1, "B":0.2, "C":"xyz"},
]
df = pd.DataFrame(data)
from StringIO import StringIO
buf = StringIO()
df.to_csv(buf, index=False) # convert DataFrame to csv
print buf.getvalue()
输出结果是:
A,B,C
1.0,2.0,foo
100.0,20.0,bar
0.1,0.2,xyz
要加载csv文件:
buf.pos = 0
print pd.read_csv(buf)
输出结果是:
A B C
0 1.0 2.0 foo
1 100.0 20.0 bar
2 0.1 0.2 xyz
6
使用标准的 csv模块,你可以使用 DictWriter 和 DictReader 这两个类来实现你想要的功能。
写数据时:
import csv
dics = [{'Color':'Red', 'Age':29, 'Date':'October 2nd', 'Time':'4pm'},
{'Color':'Blue', 'Age':32, 'Date':'December 5th', 'Time':'6pm'},
{'Color':'Green', 'Age':12, 'Date':'January 10th', 'Time':'2pm'}]
with open("file.csv",'wb') as f:
# Using dictionary keys as fieldnames for the CSV file header
writer = csv.DictWriter(f, dics[0].keys())
writer.writeheader()
for d in dics:
writer.writerow(d)
读数据时:
import csv
with open("file.csv", 'rb') as f:
reader = csv.DictReader(f)
dics = [ d for d in reader ]
>>> dics
[{'Color': 'Red', 'Date': 'October 2nd', 'Age': '29', 'Time': '4pm'},
{'Color': 'Blue', 'Date': 'December 5th', 'Age': '32', 'Time': '6pm'},
{'Color': 'Green', 'Date': 'January 10th', 'Age': '12', 'Time': '2pm'}]