![](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3012786%2F70401d81fb71ce6f10b35d43d3b28684%2FCaptura%20de%20tela%202024-03-03%20113629.png?generation=1709476640409631&alt=media\")
My first intention was just to plot some Rasters as I did on CLEF 2022.
\nThis year everything seems more complicate. I will explain my issues.
\nWhich I wasn't able. So I will wait till some experienced Kaggler could show it, publishing some code (aka Notebook)
\n\"All PA-related data are already provided through Kagle; however, all the original rasters are provided on the Seafile. To download the full dataset, we recommend downloading each group separately using zipped archives.\"
\nhttps://www.kaggle.com/competitions/geolifeclef-2024/data
\n\"Suppose that you want to download all rasters available and the metadata for presence-only occurences and save the results in a folder output. The command line should be :
\n\n\npython download.py --data output --raster --presence-only --all-variables
\n
Here I got a SyntaxError that I don't know how to fix too.
\nOr with an exclamation mark:
\n\n\n\n
Which means:
\n\n\nI must have a download.py script in my directory. And I don't know how to do that YET.
\n
Though I wasn't able to work with the Rasters, I tried to make a Non-coder Exploration.
\nRunning the 1st snippet took 10 minutes to load all files After freezing the page a couple of times.
I got No module named GLC.plotting . I tried installing with pip. Though it seems Kaggle environment is Not friendly to GLC this year (2024)
\nSince I copied another geopandas code. That made my frustation a little bit small.
\nAnyway, I learned some steps and hope to learn more when I read more Public Notebooks. It was a pity that I even forgot to work with the images too. Maybe, maybe I 'll try a second Notebook.
\nMerci aux organisateurs et aux contributeurs aussi.
\nMarília Prata.
", "messages": [ { "id": 2678555, "postDate": "2024-03-02T21:16:51.693Z", "content": "My first intention was just to plot some Rasters as I did on CLEF 2022.
\nThis year everything seems more complicate. I will explain my issues.
\nWhich I wasn't able. So I will wait till some experienced Kaggler could show it, publishing some code (aka Notebook)
\n\"All PA-related data are already provided through Kagle; however, all the original rasters are provided on the Seafile. To download the full dataset, we recommend downloading each group separately using zipped archives.\"
\nhttps://www.kaggle.com/competitions/geolifeclef-2024/data
\n\"Suppose that you want to download all rasters available and the metadata for presence-only occurences and save the results in a folder output. The command line should be :
\n\n\npython download.py --data output --raster --presence-only --all-variables
\n
Here I got a SyntaxError that I don't know how to fix too.
\nOr with an exclamation mark:
\n\n\n\n
Which means:
\n\n\nI must have a download.py script in my directory. And I don't know how to do that YET.
\n
Though I wasn't able to work with the Rasters, I tried to make a Non-coder Exploration.
\nRunning the 1st snippet took 10 minutes to load all files After freezing the page a couple of times.
I got No module named GLC.plotting . I tried installing with pip. Though it seems Kaggle environment is Not friendly to GLC this year (2024)
\nSince I copied another geopandas code. That made my frustation a little bit small.
\nAnyway, I learned some steps and hope to learn more when I read more Public Notebooks. It was a pity that I even forgot to work with the images too. Maybe, maybe I 'll try a second Notebook.
\nMerci aux organisateurs et aux contributeurs aussi.
\nMarília Prata.
", "rawMarkdown": "My first intention was just to plot some Rasters as I did on CLEF 2022.\n\nThis year everything seems more complicate. I will explain my issues.\n\n#To download - Rasters: \n\n Which I wasn't able. So I will wait till some experienced Kaggler could show it, publishing some code (aka Notebook)\n\n\"All PA-related data are already provided through Kagle; however, all the original rasters are provided on the Seafile. To download the full dataset, we recommend downloading each group separately using zipped archives.\"\n\nhttps://www.kaggle.com/competitions/geolifeclef-2024/data\n\n\"Suppose that you want to download all rasters available and the metadata for presence-only occurences and save the results in a folder output. The command line should be :\n\n>python download.py --data output --raster --presence-only --all-variables\n\nHere I got a SyntaxError that I don't know how to fix too. \n\nOr with an exclamation mark: \n\n>\n\nWhich means:\n\n> I must have a download.py script in my directory. And I don't know how to do that YET.\n\n#Loading the Dataset\n\nThough I wasn't able to work with the Rasters, I tried to make a Non-coder Exploration. \nRunning the 1st snippet took 10 minutes to load all files After freezing the page a couple of times.\n\n#I tried to use some snippets with GLC.plotting\n\nI got No module named GLC.plotting . I tried installing with pip. Though it seems Kaggle environment is Not friendly to GLC this year (2024)\n\n#At least, I did a couple (literally 2) of Maps of the European Flora (plant species)\n\nSince I copied another geopandas code. That made my frustation a little bit small.\n\n\n#Dur Dur D'être Chercheuse\n\nAnyway, I learned some steps and hope to learn more when I read more Public Notebooks. It was a pity that I even forgot to work with the images too. Maybe, maybe I 'll try a second Notebook.\n\nMerci aux organisateurs et aux contributeurs aussi.\n\nMarília Prata.", "votes": 20 }, { "id": 2685598, "postDate": "2024-03-07T09:42:29.787Z", "content": "Hi,
\nI'll copy paste the answer I gave in the notebook to make it more visible.
!wget https://raw.githubusercontent.com/plantnet/GeoLifeCLEF/master/download.py!python download --helpThanks !
", "rawMarkdown": "Hi,\nI'll copy paste the answer I gave in the notebook to make it more visible. \n\n1. In order to use the download script on kaggle, you need to download it first:\n```!wget https://raw.githubusercontent.com/plantnet/GeoLifeCLEF/master/download.py```\nThan you can use with an exclamation point :\n```!python download --help```\n2. If you use the script locally, you need python3 and not python2.\n3. Pre-extracted data and occurrences are already available within kaggle and need not being redownloaded on kaggle\n4. @mpwolke downloaded the missing full rasters here [climateCLEF](https://www.kaggle.com/competitions/geolifeclef-2024/discussion/481485)\n\nThanks !", "votes": 1, "replies": [ { "id": 2685788, "postDate": "2024-03-07T12:25:19.717Z", "content": "Hi Maximilien,
\nCause I'm a beginner, I don't know how to use the \"Pre-extracted data and occurrences\". That's why I uploaded the Climate Rasters.
\nI only \"work\" on Kaggle, but I think it's Python 3 that we have here.
\n\nIt's wonderful to read a Research that was conducted during 20 Years.
\n
Due to my lack of knowledge, I'm still trying to understand how to work with those time series. 84 columns is a lot. I would like to plot that chart which image is on the Competition Data.
\nThank you.
", "rawMarkdown": "Hi Maximilien,\n\nCause I'm a beginner, I don't know how to use the \"Pre-extracted data and occurrences\". That's why I uploaded the Climate Rasters.\nI only \"work\" on Kaggle, but I think it's Python 3 that we have here.\n\n>It's wonderful to read a Research that was conducted during 20 Years. \n\nDue to my lack of knowledge, I'm still trying to understand how to work with those time series. 84 columns is a lot. I would like to plot that chart which image is on the Competition Data. \n\nThank you." } ] }, { "id": 2685491, "postDate": "2024-03-07T07:25:08.760Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 2685598, "author_name": "Maximilien Servajean", "author_url": "", "post_date": "2024-03-07T09:42:29.787000", "content": "Hi,
\nI'll copy paste the answer I gave in the notebook to make it more visible.
!wget https://raw.githubusercontent.com/plantnet/GeoLifeCLEF/master/download.py!python download --helpThanks !
", "votes": 1, "replies": [ { "id": 2685788, "author_name": "Marília Prata", "author_url": "", "post_date": "2024-03-07T12:25:19.717000", "content": "Hi Maximilien,
\nCause I'm a beginner, I don't know how to use the \"Pre-extracted data and occurrences\". That's why I uploaded the Climate Rasters.
\nI only \"work\" on Kaggle, but I think it's Python 3 that we have here.
\n\nIt's wonderful to read a Research that was conducted during 20 Years.
\n
Due to my lack of knowledge, I'm still trying to understand how to work with those time series. 84 columns is a lot. I would like to plot that chart which image is on the Competition Data.
\nThank you.
", "votes": 0, "replies": [] } ] }, { "id": 2685491, "author_name": "", "author_url": "", "post_date": "2024-03-07T07:25:08.760000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "2678555": "My first intention was just to plot some Rasters as I did on CLEF 2022.\n\nThis year everything seems more complicate. I will explain my issues.\n\n#To download - Rasters: \n\n Which I wasn't able. So I will wait till some experienced Kaggler could show it, publishing some code (aka Notebook)\n\n\"All PA-related data are already provided through Kagle; however, all the original rasters are provided on the Seafile. To download the full dataset, we recommend downloading each group separately using zipped archives.\"\n\nhttps://www.kaggle.com/competitions/geolifeclef-2024/data\n\n\"Suppose that you want to download all rasters available and the metadata for presence-only occurences and save the results in a folder output. The command line should be :\n\n>python download.py --data output --raster --presence-only --all-variables\n\nHere I got a SyntaxError that I don't know how to fix too. \n\nOr with an exclamation mark: \n\n>\n\nWhich means:\n\n> I must have a download.py script in my directory. And I don't know how to do that YET.\n\n#Loading the Dataset\n\nThough I wasn't able to work with the Rasters, I tried to make a Non-coder Exploration. \nRunning the 1st snippet took 10 minutes to load all files After freezing the page a couple of times.\n\n#I tried to use some snippets with GLC.plotting\n\nI got No module named GLC.plotting . I tried installing with pip. Though it seems Kaggle environment is Not friendly to GLC this year (2024)\n\n#At least, I did a couple (literally 2) of Maps of the European Flora (plant species)\n\nSince I copied another geopandas code. That made my frustation a little bit small.\n\n\n#Dur Dur D'être Chercheuse\n\nAnyway, I learned some steps and hope to learn more when I read more Public Notebooks. It was a pity that I even forgot to work with the images too. Maybe, maybe I 'll try a second Notebook.\n\nMerci aux organisateurs et aux contributeurs aussi.\n\nMarília Prata.", "2685598": "Hi,\nI'll copy paste the answer I gave in the notebook to make it more visible. \n\n1. In order to use the download script on kaggle, you need to download it first:\n```!wget https://raw.githubusercontent.com/plantnet/GeoLifeCLEF/master/download.py```\nThan you can use with an exclamation point :\n```!python download --help```\n2. If you use the script locally, you need python3 and not python2.\n3. Pre-extracted data and occurrences are already available within kaggle and need not being redownloaded on kaggle\n4. @mpwolke downloaded the missing full rasters here [climateCLEF](https://www.kaggle.com/competitions/geolifeclef-2024/discussion/481485)\n\nThanks !", "2685491": "" } }