熊猫：如何从Google Drive公开读取CSV文件？

Question

我搜索了有关从URL读取csv的类似问题，但找不到从Google驱动器csv文件读取csv文件的方法。

我的尝试

import pandas as pd

url = 'https://drive.google.com/file/d/0B6GhBwm5vaB2ekdlZW5WZnppb28/view?usp=sharing'
dfs = pd.read_html(url)

我们如何在熊猫中读取此文件？

相关链接：

• Pandas read_csv from url
• https://pandas.pydata.org/pandas-docs/version/0.22/io.html#io-read-html

Answer 1

要从Google驱动器读取CSV文件，您可以这样做。

import pandas as pd

url = 'https://drive.google.com/file/d/0B6GhBwm5vaB2ekdlZW5WZnppb28/view?usp=sharing'
path = 'https://drive.google.com/uc?export=download&id='+url.split('/')[-2]
df = pd.read_csv(path)

我认为这是从Google驱动器读取CSV文件的最简单方法。 希望您的“知道链接的人”选项在Google云端硬盘中启用。

Answer 2

使用熊猫

import pandas as pd

url='https://drive.google.com/file/d/0B6GhBwm5vaB2ekdlZW5WZnppb28/view?usp=sharing'
file_id=url.split('/')[-2]
dwn_url='https://drive.google.com/uc?id=' + file_id
df = pd.read_csv(dwn_url)
print(df.head())

使用熊猫和请求

import pandas as pd
import requests
from io import StringIO

url='https://drive.google.com/file/d/0B6GhBwm5vaB2ekdlZW5WZnppb28/view?usp=sharing'

file_id = url.split('/')[-2]
dwn_url='https://drive.google.com/uc?export=download&id=' + file_id
url2 = requests.get(dwn_url).text
csv_raw = StringIO(url2)
df = pd.read_csv(csv_raw)
print(df.head())

输出

      sex   age state  cheq_balance  savings_balance  credit_score  special_offer
0  Female  10.0    FL       7342.26          5482.87           774           True
1  Female  14.0    CA        870.39         11823.74           770           True
2    Male   0.0    TX       3282.34          8564.79           605           True
3  Female  37.0    TX       4645.99         12826.76           608           True
4    Male   NaN    FL           NaN          3493.08           551          False

Answer 3

我建议您使用以下代码：

import pandas as pd
import requests
from io import StringIO

url = requests.get('https://doc-0g-78-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/5otus4mg51j69f99n47jgs0t374r46u3/1560607200000/09837260612050622056/*/0B6GhBwm5vaB2ekdlZW5WZnppb28?e=download')
csv_raw = StringIO(url.text)
dfs = pd.read_csv(csv_raw)

希望这会有所帮助

Answer 4

只需使用 uc?id= 从 Google Drive 更改 de URL，然后将其传递给 read_csv 函数。在这个例子中：

url = 'https://drive.google.com/uc?id=0B6GhBwm5vaB2ekdlZW5WZnppb28'
dfs = pd.read_csv(url)

Answer 5

这是使用 R 的类似实现

library(tidyverse)

url='https://drive.google.com/file/d/0B6GhBwm5vaB2ekdlZW5WZnppb28/view?usp=sharing'
file_id=nth(strsplit(url, split = "/")[[1]], -2)
dwn_url=paste('https://drive.google.com/uc?id=',file_id,sep = "")
df = read_csv(dwn_url)

head(df)

Answer 6

另一种方式：

import pandas as pd
import requests
from io import StringIO

orig_url='https://drive.google.com/file/d/0B6GhBwm5vaB2ekdlZW5WZnppb28/view?usp=sharing'

file_id = orig_url.split('/')[-2]
dwn_url='https://drive.google.com/uc?export=download&id=' + file_id
url = requests.get(dwn_url).text
csv_raw = StringIO(url)
dfs = pd.read_csv(csv_raw)
print(dfs.head())