Interactive online version:

Compatibility with pandas

Import the LArray library:

[1]:

from larray import *

To convert an Array object into a pandas DataFrame, the method to_frame() can be used:

[2]:

population = load_example_data('demography_eurostat').population
population

[2]:

country  gender\time      2013      2014      2015      2016      2017
Belgium         Male   5472856   5493792   5524068   5569264   5589272
Belgium       Female   5665118   5687048   5713206   5741853   5762455
 France         Male  31772665  32045129  32174258  32247386  32318973
 France       Female  33827685  34120851  34283895  34391005  34485148
Germany         Male  39380976  39556923  39835457  40514123  40697118
Germany       Female  41142770  41210540  41362080  41661561  41824535

[3]:

df = population.to_frame()
df

[3]:

	time	2013	2014	2015	2016	2017
country	gender
Belgium	Male	5472856	5493792	5524068	5569264	5589272
Belgium	Female	5665118	5687048	5713206	5741853	5762455
France	Male	31772665	32045129	32174258	32247386	32318973
France	Female	33827685	34120851	34283895	34391005	34485148
Germany	Male	39380976	39556923	39835457	40514123	40697118
Germany	Female	41142770	41210540	41362080	41661561	41824535

Inversely, to convert a DataFrame into an Array object, use the function asarray():

[4]:

population = asarray(df)
population

[4]:

country  gender\time      2013      2014      2015      2016      2017
Belgium         Male   5472856   5493792   5524068   5569264   5589272
Belgium       Female   5665118   5687048   5713206   5741853   5762455
 France         Male  31772665  32045129  32174258  32247386  32318973
 France       Female  33827685  34120851  34283895  34391005  34485148
Germany         Male  39380976  39556923  39835457  40514123  40697118
Germany       Female  41142770  41210540  41362080  41661561  41824535