<filename>lookups.py

# countries dictionary with values obtained from cricinfo
countries = {'australia': 2, 'bangladesh': 25, 'england': 1, 'newzealand': 5,
             'pakistan': 7, 'india': 6, 'srilanka': 8, 'zimbabwe': 9, 'southafrica': 3,
             'westindies': 4, 'kenya': 26, 'netherlands': 15}

# matches dictionary with corresponding values from cricinfo
matches = {'tests': 1, 'odi': 2, 't20': 3}

# induvidual stats dataframe columns
cols = ['Bat1',	'Bat2',	'Runs',	'Wkts',	'Conc',	'Ct', 'St',	'Opposition', 'Ground',	'Startdate', 'Matchno',
        'MatchType', 'year']

<filename>lookups.py

# countries dictionary with values obtained from cricinfo
countries = {'australia': 2, 'bangladesh': 25, 'england': 1, 'newzealand': 5,
             'pakistan': 7, 'india': 6, 'srilanka': 8, 'zimbabwe': 9, 'southafrica': 3,
             'westindies': 4, 'kenya': 26, 'netherlands': 15}

# matches dictionary with corresponding values from cricinfo
matches = {'tests': 1, 'odi': 2, 't20': 3}

# induvidual stats dataframe columns
cols = ['Bat1',	'Bat2',	'Runs',	'Wkts',	'Conc',	'Ct', 'St',	'Opposition', 'Ground',	'Startdate', 'Matchno',
        'MatchType', 'year']

# countries dictionary with values obtained from cricinfo # matches dictionary with corresponding values from cricinfo # induvidual stats dataframe columns