Question

我想从带有请求的链接下载csv文件，并将其另存为MSFT.csv。但是，我的代码返回错误

文件“＆lt; stdin＆gt;”，第1行，in _csv.Error：在未引用字段中看到的换行符 - 您是否需要以通用换行模式打开文件？

import requests
import csv

data=requests.get('https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&symbol=MSFT&apikey=demo&datatype=csv'
cr = csv.reader(data)

for row in cr:
    print row

如何使用MSFT.csv保存？

Answer 1

如果您尝试将此数据写入CSV文件，可以先使用#include <sys/timerfd.h> #include <sys/poll.h> #include <sys/epoll.h> #include <stdio.h> #include <stdlib.h> #include <strings.h> #include <unistd.h> int main(int ac, char *av[]) { int timerfd; int epollfd; struct itimerspec timerValue; uint64_t exp; ssize_t s; /* set timerfd */ timerfd = timerfd_create(CLOCK_MONOTONIC, 0); if (timerfd < 0) { printf("failed to create timer fd\n"); exit(1); } bzero(&timerValue, sizeof(timerValue)); timerValue.it_value.tv_sec = 1; timerValue.it_value.tv_nsec = 0; timerValue.it_interval.tv_sec = 1; timerValue.it_interval.tv_nsec = 0; /* start timer */ if (timerfd_settime(timerfd, 0, &timerValue, NULL) < 0) { printf("could not start timer\n"); exit(1); } s = read( timerfd, &exp, sizeof(uint64_t)); exit(0); }下载。

requests.get

如果您使用的是import requests data = requests.get('https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&symbol=MSFT&apikey=demo&datatype=csv')，请将csv内容传递给.text并重复：

csv.reader

或者，使用pandas，将import csv with open('out.csv', 'w') as f: writer = csv.writer(f) reader = csv.reader(data.text.splitlines()) for row in reader: writer.writerow(row)发送到缓冲区并将其传递给data.text。

pd.read_csv

Answer 2

您可以通过

请求来实现

import os
import requests

def download_file(url, filename):
    ''' Downloads file from the url and save it as filename '''
    # check if file already exists
    if not os.path.isfile(filename):
        print('Downloading File')
        response = requests.get(url)
        # Check if the response is ok (200)
        if response.status_code == 200:
            # Open file and write the content
            with open(filename, 'wb') as file:
                # A chunk of 128 bytes
                for chunk in response:
                    file.write(chunk)
    else:
        print('File exists')

您可以使用所需的网址和文件名调用该函数。在你的情况下，它将是：

url = 'https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&symbol=MSFT&apikey=demo&datatype=csv'
filename = 'MSFT.csv'
download_file(url, filename)

希望这有帮助。

Answer 3

为您提供一种更简单的方法。

import urllib.request

csv_url = 'https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&symbol=MSFT&apikey=demo&datatype=csv'

urllib.request.urlretrieve(csv_url, 'MSFT.csv')

Answer 4

你去吧

import requests, csv

download = requests.get('https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&symbol=MSFT&apikey=demo&datatype=csv')

with open('MSFT.csv', 'w') as temp_file:
    temp_file.writelines(download.content)

使用Python保存下载的CSV文件

4 个答案: