文件 b'content/train.csv' 不存在 Google Colab

Question

第一次使用Google Colab。我使用了一个Kaggle API，并将数据加载到Google Colab中，但我似乎无法通过pandas打开它。我右键单击文件并复制路径。然后我运行了以下代码：

import pandas as pd
train = pd.read_csv("content/train.csv") 
test = pd.read_csv('content/test.csv')

我得到的错误代码：

FileNotFoundError: File b'content/train.csv' does not exist

以下是导致此错误的所有操作的代码：

!pip install kaggle
from google.colab import files
files.upload() #Uploaded my kaggle.json file
!pip install -q kaggle
!mkdir -p ~/.kaggle
!cp kaggle.json ~/.kaggle/
!kaggle competitions download -c microsoft-malware-prediction
#Unzip the files:
!7z x train.csv.zip
!7z x sample_submission.csv.zip
!7z x test.csv.zip
#remove the zipped data
!rm train.csv.zip
!rm sample_submission.csv.zip
!rm test.csv.zip
import pandas as pd
train = pd.read_csv("content/train.csv") 
test = pd.read_csv('content/test.csv') 
print('read')

任何帮助都会很棒！

Answer 1

它也

发生在我身上，但我能够通过使用新语法读取.csv文件来解决：

• 在上面的代码块中输入此内容（第一个或第二个）

!pip install -U -q PyDrive

from pydrive.auth import GoogleAuth

from pydrive.drive import GoogleDrive

from google.colab import auth from oauth2client.client import GoogleCredentials

#Authenticate and create the PyDrive client

auth.authenticate_user()

gauth = GoogleAuth()

gauth.credentials = GoogleCredentials.get_application_default()

drive = GoogleDrive(gauth)

然后这样做：

link = 'link_to_file_in drive'

fluff, id = link.split('=')

downloaded = drive.CreateFile({'id':id})

downloaded.GetContentFile('name_of_file.csv')

df = pd.read_csv("name_of_file.csv")

Answer 2

我遇到了同样的问题，为我修复的是：

!pip install -U -q PyDrive
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from google.colab import auth
from oauth2client.client import GoogleCredentials
# 1. Authenticate and create the PyDrive client.
auth.authenticate_user()
gauth = GoogleAuth()
gauth.credentials = GoogleCredentials.get_application_default()
drive = GoogleDrive(gauth)
# PyDrive reference:
# https://gsuitedevs.github.io/PyDrive/docs/build/html/index.html
# 2. Create & upload a file text file.
uploaded = drive.CreateFile({'title': 'Sample upload.txt'})
uploaded.SetContentString('Sample upload file content')
uploaded.Upload()
print('Uploaded file with ID {}'.format(uploaded.get('id')))
# 3. Load a file by ID and print its contents.
downloaded = drive.CreateFile({'id': uploaded.get('id')})
print('Downloaded content "{}"'.format(downloaded.GetContentString()))
    from google.colab import drive
    drive.mount('/content/gdrive', force_remount=True)
    root_dir = "/content/gdrive/My Drive/"
    base_dir = root_dir + 'app/'
    and then each file is refreed as base_dir +file_name

与 https://colab.research.google.com/notebooks/io.ipynb#scrollTo=zU5b6dlRwUQk 相比

Answer 3

无论您身在何处，都提供文件的完整路径。

尝试以下解决方案，如果您从Google云端硬盘获取数据，希望它可以工作

data = pd.read_csv("/content/drive/My Drive/data/"name_of_the_csv_file")

Answer 4

要在Google云端硬盘中打开文件：

df=pd.read_csv(" copy and paste the entire path of that file")