Difference between revisions of "AGGREGATE world"
| Line 197: | Line 197: | ||
<div class=q data-lang="py3"> | <div class=q data-lang="py3"> | ||
| − | Show the <b>name</b> and the <b>continent</b> - but | + | Show the <b>name</b> and the <b>continent</b> for countries beginning with N - but replace the continent <b>Oceania</b> with <b>Australasia</b>. |
<pre class=def> | <pre class=def> | ||
pp.pprint(list( | pp.pprint(list( | ||
Revision as of 12:11, 28 July 2015
#ENCODING
import io
import sys
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-16')
#MONGO
from pymongo import MongoClient
client = MongoClient()
client.progzoo.authenticate('scott','tiger')
db = client['progzoo']
#PRETTY
import pprint
pp = pprint.PrettyPrinter(indent=4)
Country Profile
For these questions you should use aggregate([]) on the collection world
Give the name and the per capita GDP for those countries with a population of at least 200 million.
per capita GDP is the GDP divided by the population.
pp.pprint(list(
db.world.aggregate([
{"$match":{
"population":{"$gte":250000000}
}},
{"$project":{
"_id":0,
"name":1,
"per capita GDP": {"$divide": ["$gdp",1000000]}
}}
])
))
Give the name and the population density of all countries. Ignore results where the density is "None".
population density is the population divided by the area
Use a $match. {"area":{"$ne":0}}
pp.pprint(list(
db.world.aggregate([
{"$project":{
"_id":0,
"name":1,
"density": {"$divide": ["$population","$area"]}
}},
{"$match":{
"density": {"$ne":None}
}}
])
))
pp.pprint(list(db.world.aggregate([{"$match":{"area":{"$ne":0}}},{"$project":{"_id":0,"name":1,"density":{"$divide":["$population","$area"]}}},{"$match":{"density":{"$ne":None}}}])))
Show the name and population in millions for the countries of the continent South America. Divide the population by 1000000 to get population in millions.
pp.pprint(list(
db.world.aggregate([
{"$match":{
}},
{"$project":{
"_id":0,
"name":1
}}
])
))
pp.pprint(list(db.world.aggregate([{"$match":{"continent":{"$eq":"South America"}}},{"$project":{"_id":0,"name":1,"population":{"$divide":["$population",1000000]}}}])))
Show the name and population density for France, Germany, and Italy
pp.pprint(list(
db.world.aggregate([
{"$match":{
"name": {"$in":['United Kingdom','United States','Brazil']},
"population": {"$ne": None},
"area": {"$ne": 0}
}},
{"$project":{
"_id":0,
"name":1
}}
])
))
pp.pprint(list(db.world.aggregate([{"$match":{"name":{"$in":['France','Germany','Italy']},"population":{"$ne":None},"area":{"$ne":0}}},{"$project":{"_id":0,"name":1,"population density":{"$divide":["$population","$area"]}}}])))
Order the continents by area from most to least.
pp.pprint(list(
db.world.aggregate([
{"$group":{
"_id":"$name",
"area":{"$max": "$area"}
}},
{"$sort":{
"area": -1
}},
{"$project":{
"_id":1,
"area":1
}}
])
))
pp.pprint(list(
db.world.aggregate([
{"$group":{
"_id":"$continent",
"area":{"$sum": "$area"}
}},
{"$sort":{
"area": -1
}},
{"$project":{
"_id":1,
"area":1
}}
])
))
Harder Questions
Print a list of names for countries in the continent of "North America" change United States to USA
pp.pprint(list(
db.world.aggregate([
{"$match":{
"continent":"North America"
}},
{"$project":{
"_id":0,
"name":1
}}
])
))
pp.pprint(list(db.world.aggregate([{"$match":{"continent":"North America"}},{"$project":{"_id":0,"name":{"$cond": [{"$eq":["$name","United States"]},"USA","$name"]}}}])))
Combine North America and South America to America, and then list the continents by area. Biggest first.
pp.pprint(list(
db.world.aggregate([
{"$group":{
"_id":{
"$cond": [{"$eq":["$continent","North America"]},"America",
{"$cond": [{"$eq":["$continent","Asia"]},"The East","$continent"]}]
},
"area":{"$sum": "$area"}
}},
{"$sort":{
"area": -1
}},
{"$project":{
"_id":1,
"area":1
}}
])
))
pp.pprint(list(db.world.aggregate([{"$group":{"_id":{"$cond":[{"$eq":["$continent","South America"]},"America",{"$cond":[{"$eq":["$continent","North America"]},"America","$continent"]}]},"area":{"$sum":"$area"}}},{"$sort":{"area":-1}},{"$project":{"_id":1,"area":1}}])))
Show the name and the continent for countries beginning with N - but replace the continent Oceania with Australasia.
pp.pprint(list(
db.world.aggregate([
{"$match":{
"name":{"$regex":"^N"}
}},
{"$project":{
"_id":0,
"name":1
}}
])
))
pp.pprint(list(db.world.aggregate([{"$match":{"name":{"$regex":"^N"}}},{"$project":{"_id":0,"name":1,"continent":{"$cond":[{"$eq":["$continent","Oceania"]},"Australasia","$continent"]}}}])))
Show the name and the continent but:
substitute Eurasia for Europe and Asia.
substitute America - for each country in North America or South America or Caribbean.
Only show countries beginning with A or B
If you're struggling you may want to experiment with $and,$or, etc.
pp.pprint(list(
db.world.aggregate([
{"$match":{
"name":{"$regex":"^A|^B"}
}},
{"$project":{
"_id":0,
"name":1,
"continent": {
"$cond": [{
"$or":[
{"$eq":["$continent","Europe"]},
{"$eq":["$continent","Asia"]}
]},"Eurasia",{
"$cond": [
{"$or":[
{"$eq":["$continent","North America"]},
{"$eq":["$continent","South America"]},
{"$eq":["$continent","Caribbean"]}
]},"America","$continent"]}
]}
}}
])
))
Put the continents right...
Oceania becomes Australasia
Countries in Eurasia and Turkey go to Europe/Asia
Caribbean islands starting with 'B' go to North America, other Caribbean islands go to South America
Show the name, the original continent and the new continent of all countries.
pp.pprint(list(
db.world.aggregate([
{"$project":{
"_id":0,
"name":1,
"original": "$continent",
"new": {
"$cond": [
{"$or":[
{"$eq":["$continent","Eurasia"]},
{"$eq":["$name","Turkey"]}
]},"Europe/Asia",{
"$cond":[
{"$eq":["$continent","Oceania"]},"Australasia",{
"$cond":[
{"$and":[
{"$eq":["$continent","Caribbean"]},
{"$eq":[{"$substr":["$name",0,1]}, "B"]}
]},"North America",{
"$cond":[
{"$and":[
{"$eq":["$continent","Caribbean"]},
{"$ne":[{"$substr":["$name",0,1]}, "B"]}
]},"South America","$continent"
]
}
]
}
]
}
]
}
}}
])
))