#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
Written by <NAME> and <NAME>.

JRC Biomass Project.
Unit D1 Bioeconomy.

Typically you can use this submodule like this:

    >>> import forest_puller.ipcc.concat
    >>> print(forest_puller.ipcc.concat.df)
"""

# Built-in modules #

# Internal modules #
from forest_puller.ipcc.country import all_countries

# First party modules #

# Third party modules #
import pandas

##############################################################################
every_year = (y.year_country_cols for c in all_countries for y in c)
df = pandas.concat(every_year, ignore_index=True)

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
Written by <NAME> and <NAME>.

JRC Biomass Project.
Unit D1 Bioeconomy.

Typically you can use this submodule like this:

    >>> import forest_puller.ipcc.concat
    >>> print(forest_puller.ipcc.concat.df)
"""

# Built-in modules #

# Internal modules #
from forest_puller.ipcc.country import all_countries

# First party modules #

# Third party modules #
import pandas

##############################################################################
every_year = (y.year_country_cols for c in all_countries for y in c)
df = pandas.concat(every_year, ignore_index=True)

#!/usr/bin/env python3 # -*- coding: utf-8 -*- Written by <NAME> and <NAME>.  JRC Biomass Project. Unit D1 Bioeconomy.  Typically you can use this submodule like this:      >>> import forest_puller.ipcc.concat     >>> print(forest_puller.ipcc.concat.df) # Built-in modules # # Internal modules # # First party modules # # Third party modules # ##############################################################################