Hoedic

/*

Etape préparatoire: charger les données

Pour les fichiers shapefile, on utilise shp2pgsql
shp2pgsql -s 2950 geobase_mtl.shp  geobase | psql -U user -d db_name
shp2pgsql -s 3857 demo2016_ad_mtl_island.shp  stats_socio | psql -U user -d db_name

Pour la valeur d'évaluation foncière venant de CSV, il faut créer la table et les importer fichier par fichier:

Hoedic

ckanapi-exporter --url 'http://donnees.ville.montreal.qc.ca'  \
  --column "id" --pattern '^name$' \
  --column "nom" --pattern '^title$' \
  --column "date_creation" --pattern '^metadata_created$' \
  --column "derniere_modification" --pattern '^metadata_modified$' \
  --column "unite_administrative" --pattern '^author_unite_admin$' \
  --column "frequence" --pattern '^update_frequency$' \
  --column "nb_fichiers" --pattern '^num_resources$' \
  --column "format_fichiers" --pattern '^resources$' '^format$' --deduplicate \
  --column "tags" --pattern '^tags$' '^display_name$' --deduplicate \

Hoedic

import matplotlib.pyplot as plt
import pandas as pd
pd.options.display.mpl_style = 'default'

metadata_gov = pd.Series([3.1, 3.6, 3.8, 3.9, 4.1, 4.4, 4.5, 4.5, 4.5, 4.6, 4.8, 4.9, 5], index=["File size", "Spatial\ncoverage", "Keywords", "License", "Contact\ninformation", "Update\nfrequency", "URL", "Temporal\ncoverage", "Publisher", "Description", "Title", "Last update", "Data format"])
metadata_gov.plot(kind="barh")

consumer_metadata = pd.Series([3.22, 3.44, 3.56, 3.67, 3.89, 3.89, 4, 4.22, 4.56, 4.56, 4.56, 4.67, 4.78], index=["File size", "Contact\ninformation", "Temporal\ncoverage", "Update\nfrequency", "Keywords", "Spatial\ncoverage", "Publisher", "License", "Title", "Data format", "Description", "Last update", "URL"])
consumer_metadata.plot(kind="barh")

Hoedic

#In the tomcat/catalina base directory (/usr/share/tomcat6/bin/ under Ubuntu), create a file setenv.sh (tomcat will automatically read it) and set the following: 

export JAVA_OPTS='-Xmx6144M'

#or
export CATALINA_OPTS='-Xmx6144M'

#where 6144M is the size needed... in my case, 6GB.

Hoedic

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