CONVENIENCE

Convenience is assessed based on the number of hours per week spent collecting/purchasing fuel and the number of minutes per meal spent preparing the fuel for cooking. For example, households in Tier 4 spend less than 1.5 hours per week collecting fuel and less than five minutes per meal preparing the fuel for use. In comparison, households in Tier 2 spend 3 or more hours weekly collecting fuel and 10 minutes or more per meal preparing the fuel.

HIT_PATH = '../../../../src/'
institution_id = 7
lang = 'en'
import os,sys, folium
sys.path.insert(0, os.path.normpath(os.path.join(os.path.abspath(''), HIT_PATH)))
import hedera_types as hedera
import odk_interface as odk

mfi = hedera.mfi(institution_id,setPathBook=True)
data = mfi.read_survey(mfi.odk_data_name)
mfi.HH = odk.households(data)
attribute = 'C_Convenience'

MTF Ranking

import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 18})
mfi.tier_pie(attribute)

MTF Ranking vs. Location

import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 18})
mfi.stacked_tier_per_category(attribute,mfi.offices,
                              'locality',
                              mfi.offices,legend=True)

MTF Ranking vs. Cooking Fuel

import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 18})
mfi.stacked_tier_per_category(attribute,hedera.keys().fuels,
                              'primary_cooking_fuel',
                              hedera.names('en').fuels)

MTF Ranking vs. Income Quintile

import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 18})
mfi.tiers_per_quintile(attribute,legend=True)