This library contains functions to post-process results of AquaCrop simulations.

The AquaCrop result has been modelled in the following way:

ACResult

• Summary : Run object
• Clim : Result object
• Inet : Result object
• ...

ACResult

• methods To get the Run and Result object, public methods are used:
• get_summary()
• get(name) where name is a string similar to ['Clim', 'Inet', ...]

Run object

• methods
• get_df()
• get_names()
• get_units()
• get_descriptions()
• get_column(name) where name is string and case insensitive
  • properties
  • .name
  • .unit
  • .description

Result object

• methods
• get_runs()
• get_run(number) where number is an int starting from 1
• get_units()
• get_names()
• get_descriptions()
• get_column(name) where name is a string and case insensitive.
  • Almost similar to get_runs() but only give a particular column.

NIR_chart_month

• net irrigation requirement chart by month
• wet, normal and dry corresponds to 80%, 50%, 20% probability of exceedance respectively.

NIR_chart_decade

• net irrigation requirement chart by decade (10-day)
• wet, normal and dry corresponds to 80%, 50%, 20% probability of exceedance respectively.

boxplot

• boxplots of a variable from list of results

tsplot

• time series plot of a variable
• derived from the multiple runs
• uses the average as the main plot
• shows

• public functions can be categorized into two
  • comparing projects
  • results within a project