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generateReadme: Refresh

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2024-03-20 09:45:26 +00:00
parent 222835b308
commit 0fdbc25973
6 changed files with 130 additions and 87 deletions
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48
.github/push_templates_to_algolia.ipynb vendored
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@@ -54,10 +54,10 @@
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@@ -95,10 +95,10 @@
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@@ -141,10 +141,10 @@
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@@ -178,10 +178,10 @@
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@@ -230,10 +230,10 @@
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@@ -260,10 +260,10 @@
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6
Data.gouv.fr/Data.gouv.fr_COVID19_FR _Entrées_sorties_par_région_pour_1_million_hab.ipynb
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@@ -627,8 +627,8 @@
"version": "3.9.6"
},
"naas": {
"notebook_id": "6a8d408c93bbef46e9136bfea9c5e3416c18cccde9528f35a88f44c763960c08",
"notebook_path": "Data.gouv.fr/COVID19 - FR - Entrées et sorties par région pour 1 million d'hab..ipynb"
"notebook_id": "2ef5c79ccd8bd3da8e617cc67677119215359d3918906346f6b8e0de768f04aa",
"notebook_path": "Data.gouv.fr/Data.gouv.fr_COVID19_FR _Entrées_sorties_par_région_pour_1_million_hab.ipynb"
},
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"default_parameters": {},
@@ -639,4 +639,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
}
}

70
Data.gouv.fr/Data.gouv.fr_Visualisation_carte_de_France_éducation.ipynb
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@@ -8,7 +8,7 @@
"tags": []
},
"source": [
"<img width=\"8%\" alt=\"Naas.png\" src=\"https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/Naas.png\" style=\"border-radius: 15%\">"
"<img width=\"8%\" alt=\"Data.gouv.fr.png\" src=\"https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/Data.gouv.fr.png\" style=\"border-radius: 15%\">"
]
},
{
@@ -19,13 +19,17 @@
"tags": []
},
"source": [
"# Data.gouv.fr - Visualisation de la carte de France des établissements éducatifs"
"# Data.gouv.fr - Visualisation de la carte de France des établissements éducatifs\n",
"<a href=\"https://bit.ly/3JyWIk6\">Give Feedback</a> | <a href=\"https://github.com/jupyter-naas/awesome-notebooks/issues/new?assignees=&labels=bug&template=bug_report.md&title=Data.gouv.fr+-+Visualisation+de+la+carte+de+France+des+établissements+éducatifs:+Error+short+description\">Bug report</a>"
]
},
{
"cell_type": "markdown",
"id": "religious-programmer",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**Tags:** #Data.gouv.fr"
]
@@ -33,7 +37,10 @@
{
"cell_type": "markdown",
"id": "1fe9f56e-561c-4f52-aef8-b861c9462107",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**Author:** [Paul Gilbert](https://www.linkedin.com/in/paul-gilbert-410783aa/)"
]
@@ -41,7 +48,10 @@
{
"cell_type": "markdown",
"id": "0de144be-594d-463e-9849-696fb2f6d1a8",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**Last update:** 2024-02-29 (Created: 2024-02-29)"
]
@@ -49,7 +59,10 @@
{
"cell_type": "markdown",
"id": "31ea7cdb-e10d-43fc-b026-f69249a59736",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**Description:** This notebook demonstrates how to extract schools information (\"identifiant\", \"latitude\" and \"longitude\" from Data.gouv.fr API and then visualize it on a map with plotly.express."
]
@@ -57,7 +70,10 @@
{
"cell_type": "markdown",
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},
"source": [
"**References:**\n",
"- [Data education.gouv.fr](https://data.education.gouv.fr/explore/dataset/fr-en-annuaire-education/table/?disjunctive.type_etablissement&disjunctive.code_postal&disjunctive.nom_commune&disjunctive.appartenance_education_prioritaire&disjunctive.libelle_academie&disjunctive.libelle_region&disjunctive.ministere_tutelle)\n",
@@ -78,7 +94,10 @@
{
"cell_type": "markdown",
"id": "numeric-mediterranean",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"### Import libraries"
]
@@ -88,6 +107,7 @@
"execution_count": null,
"id": "potential-surfing",
"metadata": {
"papermill": {},
"tags": []
},
"outputs": [],
@@ -103,7 +123,10 @@
{
"cell_type": "markdown",
"id": "aggressive-trustee",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"### Setup variables\n",
"- `url`: Link to data source in JSON.\n",
@@ -115,6 +138,7 @@
"execution_count": null,
"id": "dccc4460-b0d0-40e4-b575-1ba743c631a4",
"metadata": {
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"tags": []
},
"outputs": [],
@@ -126,7 +150,10 @@
{
"cell_type": "markdown",
"id": "registered-showcase",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"## Model"
]
@@ -142,6 +169,7 @@
"shell.execute_reply": "2024-02-29T10:13:39.343416Z",
"shell.execute_reply.started": "2024-02-29T10:13:39.341036Z"
},
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},
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@@ -153,6 +181,7 @@
"execution_count": null,
"id": "continuous-melbourne",
"metadata": {
"papermill": {},
"tags": []
},
"outputs": [],
@@ -175,7 +204,9 @@
"iopub.status.busy": "2024-02-29T14:05:13.073201Z",
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}
},
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"tags": []
},
"source": [
"### Visualize the schools on a map with plotly.express"
@@ -186,6 +217,7 @@
"execution_count": null,
"id": "6c046cfe-f9d3-463e-966a-d4d1a79edce2",
"metadata": {
"papermill": {},
"tags": []
},
"outputs": [],
@@ -238,7 +270,9 @@
"iopub.status.idle": "2021-07-02T23:32:10.796900Z",
"shell.execute_reply": "2021-07-02T23:32:10.796358Z",
"shell.execute_reply.started": "2021-07-02T23:32:10.789033Z"
}
},
"papermill": {},
"tags": []
},
"source": [
"## Output"
@@ -247,7 +281,10 @@
{
"cell_type": "markdown",
"id": "890f7c86-b7bb-4f5d-9a1b-e492dd9580fd",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"### Save DataFrame to csv"
]
@@ -257,6 +294,7 @@
"execution_count": null,
"id": "9c4e3b7b-6440-4844-8054-265f1aec65eb",
"metadata": {
"papermill": {},
"tags": []
},
"outputs": [],
@@ -283,6 +321,10 @@
"pygments_lexer": "ipython3",
"version": "3.9.6"
},
"naas": {
"notebook_id": "e67a1e07d6b2bf4b1340515e56a6fedc2449af7681457e606b32047596f9b7a3",
"notebook_path": "Data.gouv.fr/Data.gouv.fr_Visualisation_carte_de_France_éducation.ipynb"
},
"papermill": {
"default_parameters": {},
"environment_variables": {},
@@ -299,4 +341,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
}
}

3
README.md
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@@ -3070,8 +3070,9 @@ We are committed to sharing templates and giving shout outs to the contributors
* [Parallelize operations on multiple csvs](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Dask/Dask_parallelize_operations_on_multiple_csvs.ipynb)
## Data.gouv.fr
* [COVID19 - FR - Entrées et sorties par région pour 1 million d'hab.](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Data.gouv.fr/COVID19%20-%20%20FR%20-%20Entr%C3%A9es%20et%20sorties%20par%20r%C3%A9gion%20pour%201%20million%20d%27hab..ipynb)
* [COVID19 - FR - Entrées et sorties par région pour 1 million d'hab.](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Data.gouv.fr/Data.gouv.fr_COVID19_FR%20_Entr%C3%A9es_sorties_par_r%C3%A9gion_pour_1_million_hab.ipynb)
* [Récupération données légales entreprise](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Data.gouv.fr/Data.gouv.fr_R%C3%A9cup%C3%A9ration_donn%C3%A9es_l%C3%A9gales_entreprise.ipynb)
* [Visualisation de la carte de France des établissements éducatifs](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Data.gouv.fr/Data.gouv.fr_Visualisation_carte_de_France_%C3%A9ducation.ipynb)
## Datetime
* [Calculate relative time delta between two dates](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Datetime/Datetime_Calculate_relative_time_delta_between_two_dates.ipynb)

88
generate_readme.ipynb
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@@ -41,10 +41,10 @@
"id": "sitting-directory",
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@@ -94,10 +94,10 @@
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@@ -140,10 +140,10 @@
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@@ -211,10 +211,10 @@
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@@ -251,10 +251,10 @@
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@@ -387,10 +387,10 @@
"id": "9f21cfbb-2bcc-4bca-81a4-fad14b081371",
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@@ -481,10 +481,10 @@
"id": "cf449624-c614-43e5-9df6-2ccc93257efa",
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@@ -532,10 +532,10 @@
"id": "9f05fc34-0056-499e-aaac-beccbd490ce0",
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@@ -571,10 +571,10 @@
"id": "e45fc17e-ba5a-4317-92b3-f6de4c1a0bde",
"metadata": {
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},
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@@ -708,10 +708,10 @@
"id": "younger-consensus",
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},
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},
@@ -745,10 +745,10 @@
"id": "2a95cba3-027c-4a57-8bfa-2ee1e9053bb7",
"metadata": {
"execution": {
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"iopub.execute_input": "2024-03-20T09:44:28.464371Z",
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"shell.execute_reply": "2024-03-20T09:44:28.628719Z"
},
"tags": []
},

2
templates.json
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