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

第一次使用谷歌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了路径。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')

我得到的错误代码是：

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

以下是导致此错误的所有代码：

!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')

任何帮助都会很好

这也发生在我身上，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（第一个或第二个）

！pip安装-U-q PyDrive

从pydrive.auth导入GoogleAuth

从pydrive.drive导入GoogleDrive

来自google.colab导入验证

从oauth2client.client导入谷歌凭证

#验证并创建PyDrive客户端

auth.authenticate\u user（）

gauth=GoogleAuth（）

gauth.credentials=GoogleCredentials.get\u application\u default（）

drive=GoogleDrive（gouth）

然后这样做：

link='链接到驱动器中的文件'

fluff，id=link.split（'='）

download=drive.CreateFile（{'id'：id}）

downloaded.GetContentFile（'name\u of_file.csv'）

---

df=pd.read\u csv（“name\u of \u file.csv”）

我遇到了同样的问题，解决方法是：

!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

---

从

提供文件的完整路径，无论您在何处

试试下面的解决方案，如果你是从谷歌硬盘获取数据，希望它能起作用

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

---

要在Google Drive中打开文件，请执行以下操作：

---

df=pd.read\u csv（“复制并粘贴该文件的整个路径”）

路径中是否缺少前导的

/

？i、 例如，

/content/..

而不是

content/..

。您好。是的，我已经包括在内了。我现在怀疑这是我获取数据的源的权限问题。谢谢你的帮助。