[colab] [7 methods of using external data]

Method 1： adopt Files explorer Upload

Click on Notebook Of Files explorer panel ：

Then click the upload button ：

When the upload is over , You can read it directly ：

Method 2： Use Colab files Upload

Enter and run the following code ：

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

Then you can select the corresponding file , Finish uploading ：

Method 3： Read Github link

stay github The page finds the corresponding file path , Note that it is a file Raw link ：

Then write the link to the corresponding location .

Method 4： clone Github project

First download the project from the command line ：

!git clone https://github.com/BindiChen/machine-learning.git

Then read the data from the corresponding path .

Method 5： Use wget/axel Download the file

stay Notebook Can be used in Linux System commands , have access to wget or axel Download data ：

Method 6： Read Google hard disk data

After mounting Google hard disk , Write the path and finish reading ：

Method 7：Kaggle API Complete data download

Please refer to previous articles for detailed steps ：【Colab】 Connect 【Kaggle】 Use Kaggle Data sets / writing [email protected]

First, in the Kaggle account Kaggle API, Click on Create New API Token, Will download a kaggle.json file .

take kaggle.json After file upload , You can use kaggle-api Download game data or datasets .

!kaggle competitions download -c titanic
!kaggle datasets download -d alexanderbader/forbes-billionaires-2021-30

Reference

WeChat official account @Coggle Data Science