<SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
 Parsing the Eora26 EE MRIO database
Getting Eora26
The Eora 26 database is available at http
Step1:  Explore
Eora includes (almost) all countries
Step2:  This can easily be aggregated to, for example, the OECD/NON_OECD countries with the help of the country converter coco.
<ASSISTANT_TASK:>
Python Code:
import pymrio
eora_storage = '/tmp/mrios/eora26'
eora = pymrio.parse_eora26(year=2005, path=eora_storage)
Explanation: Parsing the Eora26 EE MRIO database
Getting Eora26
The Eora 26 database is available at http://www.worldmrio.com . 
You need to register there and can then download the files from http://www.worldmrio.com/simplified .
Parse
To parse a single year do:
End of explanation
eora.get_regions()
Explanation: Explore
Eora includes (almost) all countries:
End of explanation
import country_converter as coco
eora.aggregate(region_agg = coco.agg_conc(original_countries='Eora',
                                          aggregates=['OECD'],
                                          missing_countries='NON_OECD')
              )
eora.get_regions()
eora.calc_all()
import matplotlib.pyplot as plt
with plt.style.context('ggplot'):
    eora.Q.plot_account(('Total cropland area', 'Total'), figsize=(8,5))
    plt.show()
Explanation: This can easily be aggregated to, for example, the OECD/NON_OECD countries with the help of the country converter coco.
End of explanation
<END_TASK>