Flag Emojis with `adviz`

🇦🇩 🇦🇪 🇦🇫 🇦🇬 🇦🇮 🇦🇱 🇦🇲 🇦🇴 🇦🇶 🇦🇷 🇦🇸 🇦🇹 🇦🇺 🇦🇼 🇦🇽 🇦🇿 🇧🇦 🇧🇧 🇧🇩 🇧🇪 🇧🇫 🇧🇬

🇧🇮 🇧🇯 🇧🇱 🇧🇲 🇧🇳 🇧🇴 🇧🇶 🇧🇷 🇧🇸 🇧🇹 🇧🇻 🇧🇼 🇧🇾 🇧🇿 🇨🇦 🇨🇨 🇨🇩 🇨🇫 🇨🇬 🇨🇭 🇨🇮 🇨🇰

🇨🇲 🇨🇳 🇨🇴 🇨🇷 🇨🇺 🇨🇻 🇨🇼 🇨🇽 🇨🇾 🇨🇿 🇩🇪 🇩🇯 🇩🇰 🇩🇲 🇩🇴 🇩🇿 🇪🇨 🇪🇪 🇪🇬 🇪🇭 🇪🇷 🇪🇸

🇫🇮 🇫🇯 🇫🇰 🇫🇲 🇫🇴 🇫🇷 🇬🇦 🇬🇧 🇬🇩 🇬🇪 🇬🇫 🇬🇬 🇬🇭 🇬🇮 🇬🇱 🇬🇲 🇬🇳 🇬🇵 🇬🇶 🇬🇷 🇬🇸 🇬🇹

🇬🇼 🇬🇾 🇭🇰 🇭🇲 🇭🇳 🇭🇷 🇭🇹 🇭🇺 🇮🇩 🇮🇪 🇮🇱 🇮🇲 🇮🇳 🇮🇴 🇮🇶 🇮🇷 🇮🇸 🇮🇹 🇯🇪 🇯🇲 🇯🇴 🇯🇵

🇰🇬 🇰🇭 🇰🇮 🇰🇲 🇰🇳 🇰🇵 🇰🇷 🇰🇼 🇰🇾 🇰🇿 🇱🇦 🇱🇧 🇱🇨 🇱🇮 🇱🇰 🇱🇷 🇱🇸 🇱🇹 🇱🇺 🇱🇻 🇱🇾 🇲🇦

🇲🇩 🇲🇪 🇲🇫 🇲🇬 🇲🇭 🇲🇰 🇲🇱 🇲🇲 🇲🇳 🇲🇴 🇲🇵 🇲🇶 🇲🇷 🇲🇸 🇲🇹 🇲🇺 🇲🇻 🇲🇼 🇲🇽 🇲🇾 🇲🇿 🇳🇦

🇳🇪 🇳🇫 🇳🇬 🇳🇮 🇳🇱 🇳🇴 🇳🇵 🇳🇷 🇳🇺 🇳🇿 🇴🇲 🇵🇦 🇵🇪 🇵🇫 🇵🇬 🇵🇭 🇵🇰 🇵🇱 🇵🇲 🇵🇳 🇵🇷 🇵🇸

🇵🇼 🇵🇾 🇶🇦 🇷🇪 🇷🇴 🇷🇸 🇷🇺 🇷🇼 🇸🇦 🇸🇧 🇸🇨 🇸🇩 🇸🇪 🇸🇬 🇸🇭 🇸🇮 🇸🇯 🇸🇰 🇸🇱 🇸🇲 🇸🇳 🇸🇴

🇸🇸 🇸🇹 🇸🇻 🇸🇽 🇸🇾 🇸🇿 🇹🇨 🇹🇩 🇹🇫 🇹🇬 🇹🇭 🇹🇯 🇹🇰 🇹🇱 🇹🇲 🇹🇳 🇹🇴 🇹🇷 🇹🇹 🇹🇻 🇹🇼 🇹🇿

🇺🇬 🇺🇲 🇺🇸 🇺🇾 🇺🇿 🇻🇦 🇻🇨 🇻🇪 🇻🇬 🇻🇮 🇻🇳 🇻🇺 🇼🇫 🇼🇸 🇾🇪 🇾🇹 🇿🇦 🇿🇲 🇿🇼

Get some country flags

import adviz
adviz.flag('pt'), adviz.flag('prt')

('🇵🇹', '🇵🇹')

adviz.flag('jp'), adviz.flag('jpn'), adviz.flag('JPN'), adviz.flag("JAPAN"), adviz.flag('japan')

('🇯🇵', '🇯🇵', '🇯🇵', '🇯🇵', '🇯🇵')

adviz.flag('za')

'🇿🇦'

Use in an HTML string for more granular control

html(f'<h3 style="font-size: 40pt; color: gold;">This is the flag of Zimbabwe: <span style="font-size: 60pt;">{adviz.flag("zw")}</span></h1>')
html(f'<h3 style="font-size: 40pt; color: steelblue;">This is the flag of Sweden: <span style="font-size: 60pt;">{adviz.flag("se")}</span></h1>')

This is the flag of Zimbabwe: 🇿🇼

This is the flag of Sweden: 🇸🇪

Using flags in Plotly charts

Use flags to make country data more recognizable

	country	population	code
0	China	1439323776	cn
1	India	1380004385	in
2	United States	331002651	us
3	Indonesia	273523615	id
4	Pakistan	220892340	pk

Adding country flags makes them easily recognizable

Code

import plotly.express as px
fig = px.bar(
    population,
    x='country',
    y='population',
    height=500, 
    text=[adviz.flag(cc) for cc in population['code']],
    template='plotly_dark'
)
fig.data[0].textfont.size = 35
fig.data[0].marker.color = 'steelblue'
fig

Horizontal chart

Code

fig = px.bar(
    population.sort_values('population'),
    y='country',
    x='population',
    orientation='h',
    height=500, 
    opacity=0.8,
    text=[adviz.flag(cc) for cc in population.sort_values('population')['code']],
    template='plotly_dark'
)
fig.data[0].textfont.size = 35
fig.data[0].marker.color = 'teal'
fig

Make scatter plots easier to read with flags

Zoom in when some flags are overlapping

	country	continent	year	lifeExp	pop	gdpPercap	iso_alpha	iso_num	flag
11	Afghanistan	Asia	2007	43.828	31889923	974.580338	AFG	4	🇦🇫
23	Albania	Europe	2007	76.423	3600523	5937.029526	ALB	8	🇦🇱
35	Algeria	Africa	2007	72.301	33333216	6223.367465	DZA	12	🇩🇿
47	Angola	Africa	2007	42.731	12420476	4797.231267	AGO	24	🇦🇴
59	Argentina	Americas	2007	75.320	40301927	12779.379640	ARG	32	🇦🇷
71	Australia	Oceania	2007	81.235	20434176	34435.367440	AUS	36	🇦🇺
83	Austria	Europe	2007	79.829	8199783	36126.492700	AUT	40	🇦🇹
95	Bahrain	Asia	2007	75.635	708573	29796.048340	BHR	48	🇧🇭
107	Bangladesh	Asia	2007	64.062	150448339	1391.253792	BGD	50	🇧🇩
119	Belgium	Europe	2007	79.441	10392226	33692.605080	BEL	56	🇧🇪

Visualize life expectancy ~ GDP per capita

Europe

Americas

Africa

Asia

Oceania

Get started now:

`python3 -m pip install adviz`

Explore more advertools data visualizations

Flag Emojis with adviz