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

Question

第一次使用 Google Colab。我使用了 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

这是我为导致此错误所做的一切的代码：

!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！

标签： google-colaboratory

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这个（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")