在任何协作的左侧栏上都有一个称为“文件”的部分。 在那里上传文件并使用此路径

"/content/YourFileName.extension"

ex: pd read_csv(“/内容/ Forbes2015。csv”);

你也可以在谷歌上使用我的实现。colab和PyDrive在https://github.com/ruelj2/Google_drive，这使它更容易。

!pip install - U - q PyDrive  
import os  
os.chdir('/content/')  
!git clone https://github.com/ruelj2/Google_drive.git  

from Google_drive.handle import Google_drive  
Gd = Google_drive()  

然后，如果你想加载谷歌驱动器目录中的所有文件，只需

Gd.load_all(local_dir, drive_dir_ID, force=False)  

或者只是一个特定的文件

Gd.load_file(local_dir, file_ID)

对于那些像我一样从谷歌搜索关键字“上传文件colab”的人:

from google.colab import files
uploaded = files.upload()

已解决，请在这里找到详细信息，并使用下面的功能: https://stackoverflow.com/questions/47212852/how-to-import-and-read-a-shelve-or-numpy-file-in-google-colaboratory/49467113#49467113

from google.colab import files
import zipfile, io, os

    def read_dir_file(case_f):
        # author: yasser mustafa, 21 March 2018  
        # case_f = 0 for uploading one File and case_f = 1 for uploading one Zipped Directory
        uploaded = files.upload()    # to upload a Full Directory, please Zip it first (use WinZip)
        for fn in uploaded.keys():
            name = fn  #.encode('utf-8')
            #print('\nfile after encode', name)
            #name = io.BytesIO(uploaded[name])
        if case_f == 0:    # case of uploading 'One File only'
            print('\n file name: ', name)
            return name
        else:   # case of uploading a directory and its subdirectories and files
            zfile = zipfile.ZipFile(name, 'r')   # unzip the directory 
            zfile.extractall()
            for d in zfile.namelist():   # d = directory
                print('\n main directory name: ', d)
                return d
    print('Done!')

快速，简单地从Dropbox导入:

!pip install dropbox
import dropbox
access_token = 'YOUR_ACCESS_TOKEN_HERE' # https://www.dropbox.com/developers/apps
dbx = dropbox.Dropbox(access_token)

# response = dbx.files_list_folder("")

metadata, res = dbx.files_download('/dataframe.pickle2')

with open('dataframe.pickle2', "wb") as f:
  f.write(res.content)

步骤1-挂载您的谷歌驱动器到协作实验室

from google.colab import drive
drive.mount('/content/gdrive')

第2步-现在你会看到你的谷歌驱动器文件在左侧窗格(文件资源管理器)。右键单击需要导入的文件并选择çopy路径。 然后像往常一样在pandas中导入，使用这个复制的路径。

import pandas as pd
df=pd.read_csv('gdrive/My Drive/data.csv')

完成了!