[英]Python - Pandas : how to save csv file from url
so I'm trying to get a csv file with requests and save it to my project:所以我试图获取一个带有请求的 csv 文件并将其保存到我的项目中:
import requests
import pandas as pd
import csv
def get_and_save_countries():
url = 'https://www.trackcorona.live/api/countries'
r = requests.get(url)
data = r.json()
data = data["data"]
with open("corona/dash_apps/finished_apps/apicountries.csv","w",newline="") as f:
title = "location,country_code,latitude,longitude,confirmed,dead,recovered,updated".split(",")
cw = csv.DictWriter(f,title,delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL)
cw.writeheader()
cw.writerows(data)
I've managed that but when I try this:我已经做到了,但是当我尝试这样做时:
get_data.get_and_save_countries()
df = pd.read_csv("corona\\dash_apps\\finished_apps\\apicountries.csv")
I get this error:我收到此错误:
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe9 in position 1: invalid continuation byte
And I have no idea why.我不知道为什么。 Any help is welcome.
欢迎任何帮助。 Thanks.
谢谢。
Try:尝试:
with open("corona/dash_apps/finished_apps/apicountries.csv","w",newline="", encoding ='utf-8') as f:
to explicitly specify the encoding with encoding='utf-8'
使用
encoding='utf-8'
显式指定编码
When you write to a file, the default encoding is locale.getpreferredencoding(False)
.写入文件时,默认编码为
locale.getpreferredencoding(False)
。 On Windows that is usually not UTF-8 and even on Linux the terminal could be configured other than UTF-8.在通常不是 UTF-8 的 Windows 上,甚至在 Linux 上,终端也可以配置为非 UTF-8。 Pandas is defaulting to
utf-8
, so specify encoding='utf8'
as another parameter to open
. Pandas 默认为
utf-8
,因此将encoding='utf8'
指定为open
另一个参数。
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