I don't see the ct.chart.* API any more in the (sis-dev) toolbox. Is there a new API?
kr.
Roeland
I don't see the ct.chart.* API any more in the (sis-dev) toolbox. Is there a new API?
kr.
Roeland
Hi Roeland,
Can you give more information about this, please ? Do you have an example of using the ct.chart.* API ? it sounds like it could be very useful!
Thanks,
Kevin
The API is back .
Kevin Marsh This is an example for chart.line
import cdstoolbox as ctlayout = {
‘input_ncols’: 3,
}variables = {
‘Near-Surface Air Temperature’: ‘2m_temperature’,
‘Eastward Near-Surface Wind’: ‘10m_u_component_of_wind’,
‘Northward Near-Surface Wind’: ‘10m_v_component_of_wind’,
‘Sea Level Pressure’: ‘mean_sea_level_pressure’,
‘Sea Surface Temperature’: ‘sea_surface_temperature’,
}@ct.application(title=‘Extract a time series and plot graph’, layout=layout)
@ct.input.dropdown(‘var’, label=‘Variable’, values=variables.keys(), description=‘Sample variables’)
@ct.input.text(‘lon’, label=‘Longitude’, type=float, default=75., description=‘Decimal degrees’)
@ct.input.text(‘lat’, label=‘Latitude’, type=float, default=43., description=‘Decimal degrees’)
@ct.output.livefigure()
def plot_time_series(var, lon, lat):
“”"
Application main steps:- set the application layout with 3 columns for the input and output at the bottom - retrieve a variable over a defined time range - select a location, defined by longitude and latitude coordinates - compute the daily average - show the result as a timeseries on an interactive chart """ # Time range data = ct.catalogue.retrieve( 'reanalysis-era5-single-levels', { 'variable': variables[var], 'grid': ['3', '3'], 'product_type': 'reanalysis', 'year': [ '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017' ], 'month': [ '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12' ], 'day': [ '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31' ], 'time': ['00:00', '06:00', '12:00', '18:00'], } ) # Location selection data_sel = ct.geo.extract_point(data, lon=lon, lat=lat) # Daily mean on selection data_daily = ct.climate.daily_mean(data_sel) fig = ct.chart.line(data_daily) return fig</pre>
Thanks Roeland! Glad its working now!
Kevin