import intake
import hvplot.pandas
intake.output_notebook()

list(intake.registry)

source = intake.open_csv('https://timeseries.weebly.com/uploads/'
                         '2/1/0/8/21086414/sea_ice.csv')

# access the data basic details
source.discover()

# load and use data
df = source.read()
df.head()

# try some plotting
df.hvplot(kind='line', x='Time', y= ['Arctic', 'Antarctica'],
          width=700, height=500)

source.hvplot(kind='line', x='Time', y= ['Arctic', 'Antarctica'],
              width=700, height=500)

# presciption for the source we made
print(source.yaml())

%%writefile sea.yaml
sources:
    sea_ice:
      args:
        urlpath: "https://timeseries.weebly.com/uploads/2/1/0/8/21086414/sea_ice.csv"
      description: "Polar sea ice cover"
      driver: csv
      metadata:
        plots:
          basic:
            kind: line
            x: Time
            y: [Arctic, Antarctica]
            width: 700
            height: 500

# load that prescription
cat = intake.open_catalog('sea.yaml')

# plot is automatic
cat.sea_ice.plot.basic()

# put catalog in public place for sharing
cat = intake.open_catalog('https://raw.githubusercontent.com/intake/'
                          'intake-examples/master/tutorial/sea.yaml')

# load data as before
cat.sea_ice.read().head()

# the cat as a data source
print(cat.yaml())