【算法竞赛】如何从Kaggle下载数据 - Jupyter Notebook

01、安装Kaggle API

将下面语句在Jupyter notebook或者Terminal中运行；
在Terminal中运行时需要根据平台进行调整；(depending on your platform you may need to modify this slightly to either add source activate fastai or similar, or prefix pip with a path. Have a look at how conda install is called for your platform in the appropriate Returning to work section of https://course.fast.ai/. (Depending on your environment, you may also need to append “–user” to the command.)

! {sys.executable} -m pip install kaggle --upgrade

02、下载Kaggle的授权

登录你的Kaggle账户，点击My Account，下拉找到Create New API Token，点击下载kaggle.json文件

03、上传Kaggle.json文件

点击upload上传Kaggle.json文件至当前Jupyter notebook所在的地方，并运行下面两行命令；（如果是Windows，则运行后两行）

! mkdir -p ~/.kaggle/
! mv kaggle.json ~/.kaggle/

# For Windows, uncomment these two commands
# ! mkdir %userprofile%\.kaggle
# ! move kaggle.json %userprofile%\.kaggle

04、接受竞赛规则

在Kaggle中，进入你要下载数据的比赛，点击接受竞赛规则；（否则下载不成功）

05、创建保存数据的路径 并 下载

path = Config.data_path()/'planet'
path.mkdir(parents=True, exist_ok=True)
path

本命令以planet competition为例

! kaggle competitions download -c planet-understanding-the-amazon-from-space -f train-jpg.tar.7z -p {path}  
! kaggle competitions download -c planet-understanding-the-amazon-from-space -f train_v2.csv -p {path}  
! unzip -q -n {path}/train_v2.csv.zip -d {path}

命令结合具体比赛进行修改；其中 “kaggle competitions download -c planet-understanding-the-amazon-from-space“可以在对应竞赛页面data的API中找到，具体文件也有列表；

06. 解压文件

! 7za -bd -y -so x {path}/train-jpg.tar.7z | tar xf - -C {path.as_posix()}

如果没有安装对应的解压程序，记得先安装，此数据是7zip压缩的

! install --yes --prefix {sys.prefix} -c haasad eidl7zip

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