# Any function to download data and plot time series on graph **URL:** \ **Category:** Other - Software and tools\ **Tags:** c3s, toolbox\ **Created:** [16 January 2023 10:01 UTC](https://forum.ecmwf.int/t/any-function-to-download-data-and-plot-time-series-on-graph/1768 "2023-01-16T10:01:51Z")\ **Posts on this page:** 4\ **Page:** 1
**Author:** ![User\_akanksha\_dot\_ba](https://forum.ecmwf.int/letter_avatar_proxy/v4/letter/u/b5a626/32.png) [@User\_akanksha\_dot\_ba](https://forum.ecmwf.int/u/User_akanksha_dot_ba)\ **Post date:** [16 January 2023 10:01 UTC](https://forum.ecmwf.int/t/any-function-to-download-data-and-plot-time-series-on-graph/1768/1 "2023-01-16T10:01:51Z")
 Hi All, I am working on surface albedo data. Is there any function using which I can download the data as well as extract a time series and plot the graph.  Thank you ---
**Author:** ![Kevin\_Marsh](https://forum.ecmwf.int/user_avatar/forum.ecmwf.int/kevin_marsh/32/368_2.png) [@Kevin\_Marsh](https://forum.ecmwf.int/u/Kevin_Marsh)\ **Post date:** [2 February 2023 09:54 UTC](https://forum.ecmwf.int/t/any-function-to-download-data-and-plot-time-series-on-graph/1768/2 "2023-02-02T09:54:35Z")
Hi, Have you seen the examples in the Toolbox gallery? e.g. [https://cds.climate.copernicus.eu/toolbox/doc/gallery/3\_extract\_time\_series\_and\_plot\_graph.html](https://cds.climate.copernicus.eu/toolbox/doc/gallery/3_extract_time_series_and_plot_graph.html) Thanks, Kevin ---
**Author:** ![User\_akanksha\_dot\_ba](https://forum.ecmwf.int/letter_avatar_proxy/v4/letter/u/b5a626/32.png) [@User\_akanksha\_dot\_ba](https://forum.ecmwf.int/u/User_akanksha_dot_ba)\ **Post date:** [27 February 2023 15:02 UTC](https://forum.ecmwf.int/t/any-function-to-download-data-and-plot-time-series-on-graph/1768/3 "2023-02-27T15:02:04Z")
Hi [Kevin Marsh](https://confluence.ecmwf.int/display/~makm)  ``` Yes I tried the one that you shared but I am getting the following error. Could you please help in resolving it. Also, I wish to know if I want to download the data instead of getting figure as an output, should I put the command 'return data' in The end? ``` ``` Traceback (most recent call last): File "/opt/cdstoolbox/cdscompute/cdscompute/cdshandlers/services/handler.py", line 59, in handle\_request result = cached(context.method, proc, context, context.args, context.kwargs) File "/opt/cdstoolbox/cdscompute/cdscompute/caching.py", line 108, in cached result = proc(context, \*context.args, \*\*context.kwargs) File "/opt/cdstoolbox/cdscompute/cdscompute/services.py", line 124, in \_\_call\_\_ return p (\*args, \*\*kwargs) File "/opt/cdstoolbox/cdscompute/cdscompute/services.py", line 60, in \_\_call\_\_ return self.proc(context, \*args, \*\*kwargs) File "/home/cds/cdsservices/services/retrieve.py", line 200, in execute \*\*retrieve\_kwargs File "/opt/cdstoolbox/cdscompute/cdscompute/context.py", line 301, in call return c.call(service, \*args, \*\*kwargs).value File "/opt/cdstoolbox/cdsworkflows/cdsworkflows/future.py", line 76, in value raise self.\_result cdsworkflows.error.ClientError: None ``` ---
**Author:** ![Kevin\_Marsh](https://forum.ecmwf.int/user_avatar/forum.ecmwf.int/kevin_marsh/32/368_2.png) [@Kevin\_Marsh](https://forum.ecmwf.int/u/Kevin_Marsh)\ **Post date:** [24 March 2023 12:25 UTC](https://forum.ecmwf.int/t/any-function-to-download-data-and-plot-time-series-on-graph/1768/4 "2023-03-24T12:25:11Z")
Hi, The workflow is working for me  ![](https://forum.ecmwf.int/uploads/default/original/1X/89dceb471e990c3398bbb3e081c2755557497d2d.jpeg) and to download the data you would add @ct.output.download() at the start and return 'data\_daily' along with the figure: import cdstoolbox as ct # Defining an application layout with 3 input collumns locate above the outputs. layout = {     'input\_ncols': 3,     'output\_align': 'bottom' } # Dictionary of selectable variables 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', } # Define the main application function @ct.application(     title='Extract a time series and plot graph',     layout=layout,     description='Plot the the time series of a user selected variable at a user selected location.' ) @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() **@ct.output.download()** 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     """     # Retrieve the selected variable for a predefined time range at a spatial resolution of 3' x 3'.     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     # Extract the closest point to selected lon/lat (no interpolation).     # If wrong number is set for latitude, the closest available one is chosen:     # e.g. if lat = 4000 -\> lat = 90.     # If wrong number is set for longitude, first a wrap in [-180, 180] is made,     # then the closest one present is chosen:     # e.g. if lon = 200 -\> lat = -160.     data\_sel = ct.geo.extract\_point(data, lon=lon, lat=lat)     # Daily mean on selection     data\_daily = ct.climate.daily\_mean(data\_sel)     # Plot the daily data     fig = ct.chart.line(data\_daily)     return fig, **data\_daily**