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rich_tables.py
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#!/usr/bin/env python3
"""An example of using Rich Tables within a cmd2 application for displaying tabular data.
While you can use any Python library for displaying tabular data within a cmd2 application,
we recommend using rich since that is built into cmd2.
Data comes from World Population Review: https://worldpopulationreview.com/
and https://en.wikipedia.org/wiki/List_of_countries_by_GDP_(nominal)
NOTE: The flag emojis used require appropriate font support in your terminal
and/or IDE. Any "Nerd Font" should work. Some good options include:
- JetBrains Mono
- Fira Code
- Hack
- Monaspace
"""
from rich.table import Table
import cmd2
from cmd2.colors import Color
CITY_HEADERS = ['Flag', 'City', 'Country', '2025 Population']
CITY_DATA = [
["🇯🇵", "Tokyo (東京)", "Japan", 37_036_200],
["🇮🇳", "Delhi", "India", 34_665_600],
["🇨🇳", "Shanghai (上海)", "China", 30_482_100],
["🇧🇩", "Dhaka", "Bangladesh", 24_652_900],
["🇪🇬", "Cairo (القاهرة)", "Egypt", 23_074_200],
["🇪🇬", "São Paulo", "Brazil", 22_990_000],
["🇲🇽", "Mexico City", "Mexico", 22_752_400],
["🇨🇳", "Beijing (北京)", "China", 22_596_500],
["🇮🇳", "Mumbai", "India", 22_089_000],
["🇯🇵", "Osaka (大阪)", "Japan", 18_921_600],
]
CITY_TITLE = "10 Largest Cities by Population 2025"
CITY_CAPTION = "Data from https://worldpopulationreview.com/"
COUNTRY_HEADERS = [
'Flag',
'Country',
'2025 Population',
'Area (M km^2)',
'Population Density (/km^2)',
'GDP (million US$)',
'GDP per capita (US$)',
]
COUNTRY_DATA = [
["🇮🇳", "India", 1_463_870_000, 3.3, 492, 4_187_017, 2_878],
["🇨🇳", "China (中国)", 1_416_100_000, 9.7, 150, 19_231_705, 13_687],
["🇺🇸", "United States", 347_276_000, 9.4, 38, 30_507_217, 89_105],
["🇮🇩", "Indonesia", 285_721_000, 1.9, 152, 1_429_743, 5_027],
["🇵🇰", "Pakistan", 255_220_000, 0.9, 331, 373_072, 1_484],
["🇳🇬", "Nigeria", 237_528_000, 0.9, 261, 188_271, 807],
["🇧🇷", "Brazil", 212_812_000, 8.5, 25, 2_125_958, 9_964],
["🇧🇩", "Bangladesh", 175_687_000, 0.1, 1_350, 467_218, 2_689],
["🇷🇺", "Russia (россия)", 143_997_000, 17.1, 9, 2_076_396, 14_258],
["🇪🇹", "Ethiopia (እትዮጵያ)", 135_472_000, 1.1, 120, 117_457, 1_066],
]
COUNTRY_TITLE = "10 Largest Countries by Population 2025"
COUNTRY_CAPTION = "Data from https://worldpopulationreview.com/ and Wikipedia"
class TableApp(cmd2.Cmd):
"""Cmd2 application to demonstrate displaying tabular data using rich."""
DEFAULT_CATEGORY = 'Table Commands'
def __init__(self) -> None:
"""Initialize the cmd2 application."""
super().__init__()
# Prints an intro banner once upon application startup
self.intro = 'Are you curious which countries and cities on Earth have the largest populations?'
def do_cities(self, _: cmd2.Statement) -> None:
"""Display the cities with the largest population."""
table = Table(title=CITY_TITLE, caption=CITY_CAPTION)
for header in CITY_HEADERS:
table.add_column(header)
for row in CITY_DATA:
# Convert integers or floats to strings, since rich tables can not render int/float
str_row = [f"{item:,}" if isinstance(item, int) else str(item) for item in row]
table.add_row(*str_row)
self.poutput(table)
def do_countries(self, _: cmd2.Statement) -> None:
"""Display the countries with the largest population."""
table = Table(title=COUNTRY_TITLE, caption=COUNTRY_CAPTION)
for header in COUNTRY_HEADERS:
justify = "right"
header_style = None
style = None
match header:
case population if "2025 Population" in population:
header_style = Color.BRIGHT_BLUE
style = Color.BLUE
case density if "Density" in density:
header_style = Color.BRIGHT_RED
style = Color.RED
case percap if "per capita" in percap:
header_style = Color.BRIGHT_GREEN
style = Color.GREEN
case flag if 'Flag' in flag:
justify = "center"
case country if 'Country' in country:
justify = "left"
table.add_column(header, justify=justify, header_style=header_style, style=style)
for row in COUNTRY_DATA:
# Convert integers or floats to strings, since rich tables can not render int/float
str_row = [f"{item:,}" if isinstance(item, int) else str(item) for item in row]
table.add_row(*str_row)
self.poutput(table)
if __name__ == '__main__':
app = TableApp()
app.cmdloop()