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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.competition_download_leaderboard | def competition_download_leaderboard(self, id, **kwargs): # noqa: E501
"""Download competition leaderboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competition_download_leade... | python | def competition_download_leaderboard(self, id, **kwargs): # noqa: E501
"""Download competition leaderboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competition_download_leade... | [
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This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competition_download_leaderboard(id, async_req=True)
>>> result = thread.get()
:param async_... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.competition_view_leaderboard | def competition_view_leaderboard(self, id, **kwargs): # noqa: E501
"""VIew competition leaderboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competition_view_leaderboard(id, a... | python | def competition_view_leaderboard(self, id, **kwargs): # noqa: E501
"""VIew competition leaderboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competition_view_leaderboard(id, a... | [
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... | VIew competition leaderboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competition_view_leaderboard(id, async_req=True)
>>> result = thread.get()
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.competitions_data_download_file | def competitions_data_download_file(self, id, file_name, **kwargs): # noqa: E501
"""Download competition data file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_data_... | python | def competitions_data_download_file(self, id, file_name, **kwargs): # noqa: E501
"""Download competition data file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_data_... | [
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This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_data_download_file(id, file_name, async_req=True)
>>> result = thread.get()
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.competitions_data_list_files | def competitions_data_list_files(self, id, **kwargs): # noqa: E501
"""List competition data files # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_data_list_files(id, as... | python | def competitions_data_list_files(self, id, **kwargs): # noqa: E501
"""List competition data files # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_data_list_files(id, as... | [
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... | List competition data files # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_data_list_files(id, async_req=True)
>>> result = thread.get()
:param async_req bool
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.competitions_list | def competitions_list(self, **kwargs): # noqa: E501
"""List competitions # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_list(async_req=True)
>>> result = threa... | python | def competitions_list(self, **kwargs): # noqa: E501
"""List competitions # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_list(async_req=True)
>>> result = threa... | [
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This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_list(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str group:... | [
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] | 65f14b1386470c5784d4753e491478e7537660d9 | https://github.com/Kaggle/kaggle-api/blob/65f14b1386470c5784d4753e491478e7537660d9/kaggle/api/kaggle_api.py#L420-L443 | train | List competitions by category group and terms. | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.competitions_submissions_list | def competitions_submissions_list(self, id, **kwargs): # noqa: E501
"""List competition submissions # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_submissions_list(id,... | python | def competitions_submissions_list(self, id, **kwargs): # noqa: E501
"""List competition submissions # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_submissions_list(id,... | [
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This method makes a synchronous HTTP request by default. To make an
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>>> thread = api.competitions_submissions_list(id, async_req=True)
>>> result = thread.get()
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.competitions_submissions_submit | def competitions_submissions_submit(self, blob_file_tokens, submission_description, id, **kwargs): # noqa: E501
"""Submit to competition # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = ... | python | def competitions_submissions_submit(self, blob_file_tokens, submission_description, id, **kwargs): # noqa: E501
"""Submit to competition # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = ... | [
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... | Submit to competition # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_submissions_submit(blob_file_tokens, submission_description, id, async_req=True)
>>> result = threa... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.competitions_submissions_upload | def competitions_submissions_upload(self, file, guid, content_length, last_modified_date_utc, **kwargs): # noqa: E501
"""Upload competition submission file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
... | python | def competitions_submissions_upload(self, file, guid, content_length, last_modified_date_utc, **kwargs): # noqa: E501
"""Upload competition submission file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
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This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.competitions_submissions_upload(file, guid, content_length, last_modified_date_utc, async_req=True)
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.competitions_submissions_url | def competitions_submissions_url(self, id, content_length, last_modified_date_utc, **kwargs): # noqa: E501
"""Generate competition submission URL # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> ... | python | def competitions_submissions_url(self, id, content_length, last_modified_date_utc, **kwargs): # noqa: E501
"""Generate competition submission URL # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> ... | [
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This method makes a synchronous HTTP request by default. To make an
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>>> thread = api.competitions_submissions_url(id, content_length, last_modified_date_utc, async_req=True)
>>> resul... | [
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] | 65f14b1386470c5784d4753e491478e7537660d9 | https://github.com/Kaggle/kaggle-api/blob/65f14b1386470c5784d4753e491478e7537660d9/kaggle/api/kaggle_api.py#L856-L878 | train | Generate a competition submission URL for a specific competition. | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_create_new | def datasets_create_new(self, dataset_new_request, **kwargs): # noqa: E501
"""Create a new dataset # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_create_new(dataset_new_re... | python | def datasets_create_new(self, dataset_new_request, **kwargs): # noqa: E501
"""Create a new dataset # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_create_new(dataset_new_re... | [
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This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_create_new(dataset_new_request, async_req=True)
>>> result = thread.get()
:param async_req bool... | [
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] | 65f14b1386470c5784d4753e491478e7537660d9 | https://github.com/Kaggle/kaggle-api/blob/65f14b1386470c5784d4753e491478e7537660d9/kaggle/api/kaggle_api.py#L973-L992 | train | Create a new dataset | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_create_version | def datasets_create_version(self, owner_slug, dataset_slug, dataset_new_version_request, **kwargs): # noqa: E501
"""Create a new dataset version # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> t... | python | def datasets_create_version(self, owner_slug, dataset_slug, dataset_new_version_request, **kwargs): # noqa: E501
"""Create a new dataset version # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> t... | [
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This method makes a synchronous HTTP request by default. To make an
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>>> thread = api.datasets_create_version(owner_slug, dataset_slug, dataset_new_version_request, async_req=True)
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_create_version_by_id | def datasets_create_version_by_id(self, id, dataset_new_version_request, **kwargs): # noqa: E501
"""Create a new dataset version by id # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = ap... | python | def datasets_create_version_by_id(self, id, dataset_new_version_request, **kwargs): # noqa: E501
"""Create a new dataset version by id # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = ap... | [
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This method makes a synchronous HTTP request by default. To make an
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>>> thread = api.datasets_create_version_by_id(id, dataset_new_version_request, async_req=True)
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_download | def datasets_download(self, owner_slug, dataset_slug, **kwargs): # noqa: E501
"""Download dataset file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_download(owner_slug, ... | python | def datasets_download(self, owner_slug, dataset_slug, **kwargs): # noqa: E501
"""Download dataset file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_download(owner_slug, ... | [
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This method makes a synchronous HTTP request by default. To make an
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>>> thread = api.datasets_download(owner_slug, dataset_slug, async_req=True)
>>> result = thread.get()
:param async_req ... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_download_file | def datasets_download_file(self, owner_slug, dataset_slug, file_name, **kwargs): # noqa: E501
"""Download dataset file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_downl... | python | def datasets_download_file(self, owner_slug, dataset_slug, file_name, **kwargs): # noqa: E501
"""Download dataset file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_downl... | [
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This method makes a synchronous HTTP request by default. To make an
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>>> thread = api.datasets_download_file(owner_slug, dataset_slug, file_name, async_req=True)
>>> result = thread.get()
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_list | def datasets_list(self, **kwargs): # noqa: E501
"""List datasets # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_list(async_req=True)
>>> result = thread.get()
... | python | def datasets_list(self, **kwargs): # noqa: E501
"""List datasets # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_list(async_req=True)
>>> result = thread.get()
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This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_list(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str group: Display... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_list_files | def datasets_list_files(self, owner_slug, dataset_slug, **kwargs): # noqa: E501
"""List dataset files # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_list_files(owner_slug,... | python | def datasets_list_files(self, owner_slug, dataset_slug, **kwargs): # noqa: E501
"""List dataset files # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_list_files(owner_slug,... | [
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This method makes a synchronous HTTP request by default. To make an
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>>> thread = api.datasets_list_files(owner_slug, dataset_slug, async_req=True)
>>> result = thread.get()
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_status | def datasets_status(self, owner_slug, dataset_slug, **kwargs): # noqa: E501
"""Get dataset creation status # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_status(owner_slug... | python | def datasets_status(self, owner_slug, dataset_slug, **kwargs): # noqa: E501
"""Get dataset creation status # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_status(owner_slug... | [
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This method makes a synchronous HTTP request by default. To make an
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>>> thread = api.datasets_status(owner_slug, dataset_slug, async_req=True)
>>> result = thread.get()
:param async_... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_upload_file | def datasets_upload_file(self, file_name, content_length, last_modified_date_utc, **kwargs): # noqa: E501
"""Get URL and token to start uploading a data file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
... | python | def datasets_upload_file(self, file_name, content_length, last_modified_date_utc, **kwargs): # noqa: E501
"""Get URL and token to start uploading a data file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
... | [
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This method makes a synchronous HTTP request by default. To make an
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>>> thread = api.datasets_upload_file(file_name, content_length, last_modified_date_utc, async_req=True)
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.datasets_view | def datasets_view(self, owner_slug, dataset_slug, **kwargs): # noqa: E501
"""Show details about a dataset # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_view(owner_slug, d... | python | def datasets_view(self, owner_slug, dataset_slug, **kwargs): # noqa: E501
"""Show details about a dataset # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_view(owner_slug, d... | [
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This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.datasets_view(owner_slug, dataset_slug, async_req=True)
>>> result = thread.get()
:param async_r... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.kernel_output | def kernel_output(self, user_name, kernel_slug, **kwargs): # noqa: E501
"""Download the latest output from a kernel # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.kernel_output(use... | python | def kernel_output(self, user_name, kernel_slug, **kwargs): # noqa: E501
"""Download the latest output from a kernel # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.kernel_pull | def kernel_pull(self, user_name, kernel_slug, **kwargs): # noqa: E501
"""Pull the latest code from a kernel # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.kernel_pull(user_name, ke... | python | def kernel_pull(self, user_name, kernel_slug, **kwargs): # noqa: E501
"""Pull the latest code from a kernel # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.kernel_push | def kernel_push(self, kernel_push_request, **kwargs): # noqa: E501
"""Push a new kernel version. Can be used to create a new kernel and update an existing one. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=Tr... | python | def kernel_push(self, kernel_push_request, **kwargs): # noqa: E501
"""Push a new kernel version. Can be used to create a new kernel and update an existing one. # noqa: E501
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This method makes a synchronous HTTP request by default. To make an
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.kernel_status | def kernel_status(self, user_name, kernel_slug, **kwargs): # noqa: E501
"""Get the status of the latest kernel version # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.kernel_status(... | python | def kernel_status(self, user_name, kernel_slug, **kwargs): # noqa: E501
"""Get the status of the latest kernel version # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
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>>> result = thread.get()
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Kaggle/kaggle-api | kaggle/api/kaggle_api.py | KaggleApi.kernels_list | def kernels_list(self, **kwargs): # noqa: E501
"""List kernels # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.kernels_list(async_req=True)
>>> result = thread.get()
... | python | def kernels_list(self, **kwargs): # noqa: E501
"""List kernels # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.kernels_list(async_req=True)
>>> result = thread.get()
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.authenticate | def authenticate(self):
"""authenticate the user with the Kaggle API. This method will generate
a configuration, first checking the environment for credential
variables, and falling back to looking for the .kaggle/kaggle.json
configuration file.
"""
config_data ... | python | def authenticate(self):
"""authenticate the user with the Kaggle API. This method will generate
a configuration, first checking the environment for credential
variables, and falling back to looking for the .kaggle/kaggle.json
configuration file.
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.read_config_environment | def read_config_environment(self, config_data=None, quiet=False):
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi._load_config | def _load_config(self, config_data):
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config_data: a dictionary with configuration values (keys) to read
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"""the final step of the authenticate steps, where we load the values
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.read_config_file | def read_config_file(self, config_data=None, quiet=False):
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and key to authenticate to the Kaggle API. Since we can get the
username and password from the environment, it's not required.
Parameters
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... | python | def read_config_file(self, config_data=None, quiet=False):
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi._read_config_file | def _read_config_file(self):
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try:
with open(self.config, 'r') as f:
config_data = json.load(f)
except FileNotFoundError:
config_data = {}
return config_data | python | def _read_config_file(self):
"""read in the configuration file, a json file defined at self.config"""
try:
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config_data = json.load(f)
except FileNotFoundError:
config_data = {}
return config_data | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi._write_config_file | def _write_config_file(self, config_data, indent=2):
"""write config data to file.
Parameters
==========
config_data: the Configuration object to save a username and
password, if defined
indent: number of tab indentations to use when writing j... | python | def _write_config_file(self, config_data, indent=2):
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config_data: the Configuration object to save a username and
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.set_config_value | def set_config_value(self, name, value, quiet=False):
"""a client helper function to set a configuration value, meaning
reading in the configuration file (if it exists), saving a new
config value, and then writing back
Parameters
==========
name: the name ... | python | def set_config_value(self, name, value, quiet=False):
"""a client helper function to set a configuration value, meaning
reading in the configuration file (if it exists), saving a new
config value, and then writing back
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==========
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.unset_config_value | def unset_config_value(self, name, quiet=False):
"""unset a configuration value
Parameters
==========
name: the name of the value to unset (remove key in dictionary)
quiet: disable verbose output if True (default is False)
"""
config_data = self._rea... | python | def unset_config_value(self, name, quiet=False):
"""unset a configuration value
Parameters
==========
name: the name of the value to unset (remove key in dictionary)
quiet: disable verbose output if True (default is False)
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.get_default_download_dir | def get_default_download_dir(self, *subdirs):
""" Get the download path for a file. If not defined, return default
from config.
Parameters
==========
subdirs: a single (or list of) subfolders under the basepath
"""
# Look up value for key "path" i... | python | def get_default_download_dir(self, *subdirs):
""" Get the download path for a file. If not defined, return default
from config.
Parameters
==========
subdirs: a single (or list of) subfolders under the basepath
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.print_config_value | def print_config_value(self, name, prefix='- ', separator=': '):
"""print a single configuration value, based on a prefix and separator
Parameters
==========
name: the key of the config valur in self.config_values to print
prefix: the prefix to print
separ... | python | def print_config_value(self, name, prefix='- ', separator=': '):
"""print a single configuration value, based on a prefix and separator
Parameters
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name: the key of the config valur in self.config_values to print
prefix: the prefix to print
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.print_config_values | def print_config_values(self, prefix='- '):
"""a wrapper to print_config_value to print all configuration values
Parameters
==========
prefix: the character prefix to put before the printed config value
defaults to "- "
"""
print('Configuratio... | python | def print_config_values(self, prefix='- '):
"""a wrapper to print_config_value to print all configuration values
Parameters
==========
prefix: the character prefix to put before the printed config value
defaults to "- "
"""
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competitions_list | def competitions_list(self,
group=None,
category=None,
sort_by=None,
page=1,
search=None):
""" make call to list competitions, format the response, and return
a list of C... | python | def competitions_list(self,
group=None,
category=None,
sort_by=None,
page=1,
search=None):
""" make call to list competitions, format the response, and return
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competitions_list_cli | def competitions_list_cli(self,
group=None,
category=None,
sort_by=None,
page=1,
search=None,
csv_display=False):
""" a wrapper for ... | python | def competitions_list_cli(self,
group=None,
category=None,
sort_by=None,
page=1,
search=None,
csv_display=False):
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_submit | def competition_submit(self, file_name, message, competition, quiet=False):
""" submit a competition!
Parameters
==========
file_name: the competition metadata file
message: the submission description
competition: the competition name
quie... | python | def competition_submit(self, file_name, message, competition, quiet=False):
""" submit a competition!
Parameters
==========
file_name: the competition metadata file
message: the submission description
competition: the competition name
quie... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_submit_cli | def competition_submit_cli(self,
file_name,
message,
competition,
competition_opt=None,
quiet=False):
""" submit a competition using the client. Arguments ar... | python | def competition_submit_cli(self,
file_name,
message,
competition,
competition_opt=None,
quiet=False):
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_submissions | def competition_submissions(self, competition):
""" get the list of Submission for a particular competition
Parameters
==========
competition: the name of the competition
"""
submissions_result = self.process_response(
self.competitions_submission... | python | def competition_submissions(self, competition):
""" get the list of Submission for a particular competition
Parameters
==========
competition: the name of the competition
"""
submissions_result = self.process_response(
self.competitions_submission... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_submissions_cli | def competition_submissions_cli(self,
competition=None,
competition_opt=None,
csv_display=False,
quiet=False):
""" wrapper to competition_submission, will return either... | python | def competition_submissions_cli(self,
competition=None,
competition_opt=None,
csv_display=False,
quiet=False):
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_list_files | def competition_list_files(self, competition):
""" list files for competition
Parameters
==========
competition: the name of the competition
"""
competition_list_files_result = self.process_response(
self.competitions_data_list_files_with_http_inf... | python | def competition_list_files(self, competition):
""" list files for competition
Parameters
==========
competition: the name of the competition
"""
competition_list_files_result = self.process_response(
self.competitions_data_list_files_with_http_inf... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_list_files_cli | def competition_list_files_cli(self,
competition,
competition_opt=None,
csv_display=False,
quiet=False):
""" List files for a competition, if it exists
Paramet... | python | def competition_list_files_cli(self,
competition,
competition_opt=None,
csv_display=False,
quiet=False):
""" List files for a competition, if it exists
Paramet... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_download_file | def competition_download_file(self,
competition,
file_name,
path=None,
force=False,
quiet=False):
""" download a competition file to a designa... | python | def competition_download_file(self,
competition,
file_name,
path=None,
force=False,
quiet=False):
""" download a competition file to a designa... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_download_files | def competition_download_files(self,
competition,
path=None,
force=False,
quiet=True):
""" a wrapper to competition_download_file to download all competition
fi... | python | def competition_download_files(self,
competition,
path=None,
force=False,
quiet=True):
""" a wrapper to competition_download_file to download all competition
fi... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_download_cli | def competition_download_cli(self,
competition,
competition_opt=None,
file_name=None,
path=None,
force=False,
quiet=False)... | python | def competition_download_cli(self,
competition,
competition_opt=None,
file_name=None,
path=None,
force=False,
quiet=False)... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_leaderboard_download | def competition_leaderboard_download(self, competition, path, quiet=True):
""" Download competition leaderboards
Parameters
=========
competition: the name of the competition
path: a path to download the file to
quiet: suppress verbose output (default... | python | def competition_leaderboard_download(self, competition, path, quiet=True):
""" Download competition leaderboards
Parameters
=========
competition: the name of the competition
path: a path to download the file to
quiet: suppress verbose output (default... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_leaderboard_view | def competition_leaderboard_view(self, competition):
""" view a leaderboard based on a competition name
Parameters
==========
competition: the competition name to view leadboard for
"""
result = self.process_response(
self.competition_view_leaderb... | python | def competition_leaderboard_view(self, competition):
""" view a leaderboard based on a competition name
Parameters
==========
competition: the competition name to view leadboard for
"""
result = self.process_response(
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.competition_leaderboard_cli | def competition_leaderboard_cli(self,
competition,
competition_opt=None,
path=None,
view=False,
download=False,
... | python | def competition_leaderboard_cli(self,
competition,
competition_opt=None,
path=None,
view=False,
download=False,
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_list | def dataset_list(self,
sort_by=None,
size=None,
file_type=None,
license_name=None,
tag_ids=None,
search=None,
user=None,
mine=False,
... | python | def dataset_list(self,
sort_by=None,
size=None,
file_type=None,
license_name=None,
tag_ids=None,
search=None,
user=None,
mine=False,
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_list_cli | def dataset_list_cli(self,
sort_by=None,
size=None,
file_type=None,
license_name=None,
tag_ids=None,
search=None,
user=None,
... | python | def dataset_list_cli(self,
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search=None,
user=None,
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_view | def dataset_view(self, dataset):
""" view metadata for a dataset.
Parameters
==========
dataset: the string identified of the dataset
should be in format [owner]/[dataset-name]
"""
if '/' in dataset:
self.validate_dataset_stri... | python | def dataset_view(self, dataset):
""" view metadata for a dataset.
Parameters
==========
dataset: the string identified of the dataset
should be in format [owner]/[dataset-name]
"""
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_list_files | def dataset_list_files(self, dataset):
""" list files for a dataset
Parameters
==========
dataset: the string identified of the dataset
should be in format [owner]/[dataset-name]
"""
if dataset is None:
raise ValueError('A dat... | python | def dataset_list_files(self, dataset):
""" list files for a dataset
Parameters
==========
dataset: the string identified of the dataset
should be in format [owner]/[dataset-name]
"""
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_list_files_cli | def dataset_list_files_cli(self,
dataset,
dataset_opt=None,
csv_display=False):
""" a wrapper to dataset_list_files for the client
(list files for a dataset)
Parameters
==========
... | python | def dataset_list_files_cli(self,
dataset,
dataset_opt=None,
csv_display=False):
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_status | def dataset_status(self, dataset):
""" call to get the status of a dataset from the API
Parameters
==========
dataset: the string identified of the dataset
should be in format [owner]/[dataset-name]
"""
if dataset is None:
rai... | python | def dataset_status(self, dataset):
""" call to get the status of a dataset from the API
Parameters
==========
dataset: the string identified of the dataset
should be in format [owner]/[dataset-name]
"""
if dataset is None:
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_status_cli | def dataset_status_cli(self, dataset, dataset_opt=None):
""" wrapper for client for dataset_status, with additional
dataset_opt to get the status of a dataset from the API
Parameters
==========
dataset_opt: an alternative to dataset
"""
dataset = ... | python | def dataset_status_cli(self, dataset, dataset_opt=None):
""" wrapper for client for dataset_status, with additional
dataset_opt to get the status of a dataset from the API
Parameters
==========
dataset_opt: an alternative to dataset
"""
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_download_file | def dataset_download_file(self,
dataset,
file_name,
path=None,
force=False,
quiet=True):
""" download a single file for a dataset
Parameters
... | python | def dataset_download_file(self,
dataset,
file_name,
path=None,
force=False,
quiet=True):
""" download a single file for a dataset
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_download_files | def dataset_download_files(self,
dataset,
path=None,
force=False,
quiet=True,
unzip=False):
""" download all files for a dataset
Parameters
... | python | def dataset_download_files(self,
dataset,
path=None,
force=False,
quiet=True,
unzip=False):
""" download all files for a dataset
Parameters
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_download_cli | def dataset_download_cli(self,
dataset,
dataset_opt=None,
file_name=None,
path=None,
unzip=False,
force=False,
quiet=... | python | def dataset_download_cli(self,
dataset,
dataset_opt=None,
file_name=None,
path=None,
unzip=False,
force=False,
quiet=... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_upload_file | def dataset_upload_file(self, path, quiet):
""" upload a dataset file
Parameters
==========
path: the complete path to upload
quiet: suppress verbose output (default is False)
"""
file_name = os.path.basename(path)
content_length = os.path... | python | def dataset_upload_file(self, path, quiet):
""" upload a dataset file
Parameters
==========
path: the complete path to upload
quiet: suppress verbose output (default is False)
"""
file_name = os.path.basename(path)
content_length = os.path... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_create_version | def dataset_create_version(self,
folder,
version_notes,
quiet=False,
convert_to_csv=True,
delete_old_versions=False,
dir_mode='skip'):... | python | def dataset_create_version(self,
folder,
version_notes,
quiet=False,
convert_to_csv=True,
delete_old_versions=False,
dir_mode='skip'):... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_create_version_cli | def dataset_create_version_cli(self,
folder,
version_notes,
quiet=False,
convert_to_csv=True,
delete_old_versions=False,
... | python | def dataset_create_version_cli(self,
folder,
version_notes,
quiet=False,
convert_to_csv=True,
delete_old_versions=False,
... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_initialize | def dataset_initialize(self, folder):
""" initialize a folder with a a dataset configuration (metadata) file
Parameters
==========
folder: the folder to initialize the metadata file in
"""
if not os.path.isdir(folder):
raise ValueError('Invalid fo... | python | def dataset_initialize(self, folder):
""" initialize a folder with a a dataset configuration (metadata) file
Parameters
==========
folder: the folder to initialize the metadata file in
"""
if not os.path.isdir(folder):
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_create_new | def dataset_create_new(self,
folder,
public=False,
quiet=False,
convert_to_csv=True,
dir_mode='skip'):
""" create a new dataset, meaning the same as creating a version but
... | python | def dataset_create_new(self,
folder,
public=False,
quiet=False,
convert_to_csv=True,
dir_mode='skip'):
""" create a new dataset, meaning the same as creating a version but
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.dataset_create_new_cli | def dataset_create_new_cli(self,
folder=None,
public=False,
quiet=False,
convert_to_csv=True,
dir_mode='skip'):
""" client wrapper for creating a new dataset... | python | def dataset_create_new_cli(self,
folder=None,
public=False,
quiet=False,
convert_to_csv=True,
dir_mode='skip'):
""" client wrapper for creating a new dataset... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.download_file | def download_file(self, response, outfile, quiet=True, chunk_size=1048576):
""" download a file to an output file based on a chunk size
Parameters
==========
response: the response to download
outfile: the output file to download to
quiet: suppress ve... | python | def download_file(self, response, outfile, quiet=True, chunk_size=1048576):
""" download a file to an output file based on a chunk size
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==========
response: the response to download
outfile: the output file to download to
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_list | def kernels_list(self,
page=1,
page_size=20,
dataset=None,
competition=None,
parent_kernel=None,
search=None,
mine=False,
user=None,
... | python | def kernels_list(self,
page=1,
page_size=20,
dataset=None,
competition=None,
parent_kernel=None,
search=None,
mine=False,
user=None,
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_list_cli | def kernels_list_cli(self,
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search=None,
csv_display=False,
parent=None,
competition=None,
... | python | def kernels_list_cli(self,
mine=False,
page=1,
page_size=20,
search=None,
csv_display=False,
parent=None,
competition=None,
... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_initialize | def kernels_initialize(self, folder):
""" create a new kernel in a specified folder from template, including
json metadata that grabs values from the configuration.
Parameters
==========
folder: the path of the folder
"""
if not os.path.isdir(fold... | python | def kernels_initialize(self, folder):
""" create a new kernel in a specified folder from template, including
json metadata that grabs values from the configuration.
Parameters
==========
folder: the path of the folder
"""
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_initialize_cli | def kernels_initialize_cli(self, folder=None):
""" client wrapper for kernels_initialize, takes same arguments but
sets default folder to be None. If None, defaults to present
working directory.
Parameters
==========
folder: the path of the folder (No... | python | def kernels_initialize_cli(self, folder=None):
""" client wrapper for kernels_initialize, takes same arguments but
sets default folder to be None. If None, defaults to present
working directory.
Parameters
==========
folder: the path of the folder (No... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_push | def kernels_push(self, folder):
""" read the metadata file and kernel files from a notebook, validate
both, and use Kernel API to push to Kaggle if all is valid.
Parameters
==========
folder: the path of the folder
"""
if not os.path.isdir(folder)... | python | def kernels_push(self, folder):
""" read the metadata file and kernel files from a notebook, validate
both, and use Kernel API to push to Kaggle if all is valid.
Parameters
==========
folder: the path of the folder
"""
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_push_cli | def kernels_push_cli(self, folder):
""" client wrapper for kernels_push, with same arguments.
"""
folder = folder or os.getcwd()
result = self.kernels_push(folder)
if result is None:
print('Kernel push error: see previous output')
elif not result.error:
... | python | def kernels_push_cli(self, folder):
""" client wrapper for kernels_push, with same arguments.
"""
folder = folder or os.getcwd()
result = self.kernels_push(folder)
if result is None:
print('Kernel push error: see previous output')
elif not result.error:
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_pull | def kernels_pull(self, kernel, path, metadata=False, quiet=True):
""" pull a kernel, including a metadata file (if metadata is True)
and associated files to a specified path.
Parameters
==========
kernel: the kernel to pull
path: the path to pull file... | python | def kernels_pull(self, kernel, path, metadata=False, quiet=True):
""" pull a kernel, including a metadata file (if metadata is True)
and associated files to a specified path.
Parameters
==========
kernel: the kernel to pull
path: the path to pull file... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_pull_cli | def kernels_pull_cli(self,
kernel,
kernel_opt=None,
path=None,
metadata=False):
""" client wrapper for kernels_pull
"""
kernel = kernel or kernel_opt
effective_path = self.kernels_pull(
... | python | def kernels_pull_cli(self,
kernel,
kernel_opt=None,
path=None,
metadata=False):
""" client wrapper for kernels_pull
"""
kernel = kernel or kernel_opt
effective_path = self.kernels_pull(
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_output | def kernels_output(self, kernel, path, force=False, quiet=True):
""" retrieve output for a specified kernel
Parameters
==========
kernel: the kernel to output
path: the path to pull files to on the filesystem
force: if output already exists, force ove... | python | def kernels_output(self, kernel, path, force=False, quiet=True):
""" retrieve output for a specified kernel
Parameters
==========
kernel: the kernel to output
path: the path to pull files to on the filesystem
force: if output already exists, force ove... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_output_cli | def kernels_output_cli(self,
kernel,
kernel_opt=None,
path=None,
force=False,
quiet=False):
""" client wrapper for kernels_output, with same arguments. Extra
argumen... | python | def kernels_output_cli(self,
kernel,
kernel_opt=None,
path=None,
force=False,
quiet=False):
""" client wrapper for kernels_output, with same arguments. Extra
argumen... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_status | def kernels_status(self, kernel):
""" call to the api to get the status of a kernel.
Parameters
==========
kernel: the kernel to get the status for
"""
if kernel is None:
raise ValueError('A kernel must be specified')
if '/' in kernel:
... | python | def kernels_status(self, kernel):
""" call to the api to get the status of a kernel.
Parameters
==========
kernel: the kernel to get the status for
"""
if kernel is None:
raise ValueError('A kernel must be specified')
if '/' in kernel:
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.kernels_status_cli | def kernels_status_cli(self, kernel, kernel_opt=None):
""" client wrapper for kernel_status
Parameters
==========
kernel_opt: additional option from the client, if kernel not defined
"""
kernel = kernel or kernel_opt
response = self.kernels_status(ker... | python | def kernels_status_cli(self, kernel, kernel_opt=None):
""" client wrapper for kernel_status
Parameters
==========
kernel_opt: additional option from the client, if kernel not defined
"""
kernel = kernel or kernel_opt
response = self.kernels_status(ker... | [
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.download_needed | def download_needed(self, response, outfile, quiet=True):
""" determine if a download is needed based on timestamp. Return True
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Parameters
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response: the response from the API
outfile:... | python | def download_needed(self, response, outfile, quiet=True):
""" determine if a download is needed based on timestamp. Return True
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response: the response from the API
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.print_table | def print_table(self, items, fields):
""" print a table of items, for a set of fields defined
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items: a list of items to print
fields: a list of fields to select from items
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""" print a table of items, for a set of fields defined
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items: a list of items to print
fields: a list of fields to select from items
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.print_csv | def print_csv(self, items, fields):
""" print a set of fields in a set of items using a csv.writer
Parameters
==========
items: a list of items to print
fields: a list of fields to select from items
"""
writer = csv.writer(sys.stdout)
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""" print a set of fields in a set of items using a csv.writer
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items: a list of items to print
fields: a list of fields to select from items
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.process_response | def process_response(self, result):
""" process a response from the API. We check the API version against
the client's to see if it's old, and give them a warning (once)
Parameters
==========
result: the result from the API
"""
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""" process a response from the API. We check the API version against
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.is_up_to_date | def is_up_to_date(self, server_version):
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Parameters
==========
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""" determine if a client (on the local user's machine) is up to date
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.upload_files | def upload_files(self,
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request: the prepared request
... | python | def upload_files(self,
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==========
request: the prepared request
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi._upload_file | def _upload_file(self, file_name, full_path, quiet, request, resources):
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Parameters
==========
file_name: name of the file to upload
full_path: path to the file to upload
request: the prepared request
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file_name: name of the file to upload
full_path: path to the file to upload
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.process_column | def process_column(self, column):
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column: a list of values in a column to be processed
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.upload_complete | def upload_complete(self, path, url, quiet):
""" function to complete an upload to retrieve a path from a url
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path: the path for the upload that is read in
url: the url to send the POST to
quiet: suppress verbose output (default ... | python | def upload_complete(self, path, url, quiet):
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.validate_dataset_string | def validate_dataset_string(self, dataset):
""" determine if a dataset string is valid, meaning it is in the format
of {username}/{dataset-slug}.
Parameters
==========
dataset: the dataset name to validate
"""
if dataset:
if '/' not in... | python | def validate_dataset_string(self, dataset):
""" determine if a dataset string is valid, meaning it is in the format
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dataset: the dataset name to validate
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.validate_kernel_string | def validate_kernel_string(self, kernel):
""" determine if a kernel string is valid, meaning it is in the format
of {username}/{kernel-slug}.
Parameters
==========
kernel: the kernel name to validate
"""
if kernel:
if '/' not in kernel... | python | def validate_kernel_string(self, kernel):
""" determine if a kernel string is valid, meaning it is in the format
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kernel: the kernel name to validate
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.validate_resources | def validate_resources(self, folder, resources):
""" validate resources is a wrapper to validate the existence of files
and that there are no duplicates for a folder and set of resources.
Parameters
==========
folder: the folder to validate
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""" validate resources is a wrapper to validate the existence of files
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folder: the folder to validate
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.validate_files_exist | def validate_files_exist(self, folder, resources):
""" ensure that one or more resource files exist in a folder
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folder: the folder to validate
resources: one or more resources to validate within the folder
"""
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""" ensure that one or more resource files exist in a folder
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folder: the folder to validate
resources: one or more resources to validate within the folder
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.validate_no_duplicate_paths | def validate_no_duplicate_paths(self, resources):
""" ensure that the user has not provided duplicate paths in
a list of resources.
Parameters
==========
resources: one or more resources to validate not duplicated
"""
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""" ensure that the user has not provided duplicate paths in
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resources: one or more resources to validate not duplicated
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | KaggleApi.convert_to_dataset_file_metadata | def convert_to_dataset_file_metadata(self, file_data, path):
""" convert a set of file_data to a metadata file at path
Parameters
==========
file_data: a dictionary of file data to write to file
path: the path to write the metadata to
"""
as_metad... | python | def convert_to_dataset_file_metadata(self, file_data, path):
""" convert a set of file_data to a metadata file at path
Parameters
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file_data: a dictionary of file data to write to file
path: the path to write the metadata to
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Kaggle/kaggle-api | kaggle/api/kaggle_api_extended.py | TqdmBufferedReader.read | def read(self, *args, **kwargs):
""" read the buffer, passing named and non named arguments to the
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"""
buf = io.BufferedReader.read(self, *args, **kwargs)
self.increment(len(buf))
return buf | python | def read(self, *args, **kwargs):
""" read the buffer, passing named and non named arguments to the
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buf = io.BufferedReader.read(self, *args, **kwargs)
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:param dict collection_formats: Parameter collection formats
:return: Parameters as list of tuples, collection... | python | def parameters_to_tuples(self, params, collection_formats):
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Kaggle/kaggle-api | kaggle/api_client.py | ApiClient.prepare_post_parameters | def prepare_post_parameters(self, post_params=None, files=None):
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:param post_params: Normal form parameters.
:param files: File parameters.
:return: Form parameters with files.
"""
params = []
if post_params:
params = post_... | python | def prepare_post_parameters(self, post_params=None, files=None):
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Kaggle/kaggle-api | kaggle/api_client.py | ApiClient.__deserialize_file | def __deserialize_file(self, response):
"""Deserializes body to file
Saves response body into a file in a temporary folder,
using the filename from the `Content-Disposition` header if provided.
:param response: RESTResponse.
:return: file path.
"""
fd, path = t... | python | def __deserialize_file(self, response):
"""Deserializes body to file
Saves response body into a file in a temporary folder,
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:param response: RESTResponse.
:return: file path.
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] | 65f14b1386470c5784d4753e491478e7537660d9 | https://github.com/Kaggle/kaggle-api/blob/65f14b1386470c5784d4753e491478e7537660d9/kaggle/api_client.py#L521-L543 | train | Deserializes the response body into a file in a temporary folder and returns the path to the file. | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
Kaggle/kaggle-api | kaggle/api_client.py | ApiClient.__deserialize_primitive | def __deserialize_primitive(self, data, klass):
"""Deserializes string to primitive type.
:param data: str.
:param klass: class literal.
:return: int, long, float, str, bool.
"""
try:
return klass(data)
except UnicodeEncodeError:
return s... | python | def __deserialize_primitive(self, data, klass):
"""Deserializes string to primitive type.
:param data: str.
:param klass: class literal.
:return: int, long, float, str, bool.
"""
try:
return klass(data)
except UnicodeEncodeError:
return s... | [
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Kaggle/kaggle-api | kaggle/configuration.py | Configuration.logger_file | def logger_file(self, value):
"""The logger file.
If the logger_file is None, then add stream handler and remove file
handler. Otherwise, add file handler and remove stream handler.
:param value: The logger_file path.
:type: str
"""
self.__logger_file = value
... | python | def logger_file(self, value):
"""The logger file.
If the logger_file is None, then add stream handler and remove file
handler. Otherwise, add file handler and remove stream handler.
:param value: The logger_file path.
:type: str
"""
self.__logger_file = value
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Kaggle/kaggle-api | kaggle/models/dataset_new_request.py | DatasetNewRequest.license_name | def license_name(self, license_name):
"""Sets the license_name of this DatasetNewRequest.
The license that should be associated with the dataset # noqa: E501
:param license_name: The license_name of this DatasetNewRequest. # noqa: E501
:type: str
"""
allowed_values = ... | python | def license_name(self, license_name):
"""Sets the license_name of this DatasetNewRequest.
The license that should be associated with the dataset # noqa: E501
:param license_name: The license_name of this DatasetNewRequest. # noqa: E501
:type: str
"""
allowed_values = ... | [
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