I have data in JSON format that looks something like this
{
"ts": 1393631983,
"visitor_uuid": "ade7e1f63bc83c66",
"visitor_source": "external",
"visitor_device": "browser",
"visitor_useragent": "Opera/9.80 (Windows NT 6.1) Presto/2.12.388 Version/12.16",
"visitor_ip": "b5af0ba608ab307c",
"visitor_country": "BR",
"visitor_referrer": "53c643c16e8253e7",
"env_type": "reader",
"env_doc_id": "140222143932-91796b01f94327ee809bd759fd0f6c76",
"event_type": "pagereadtime",
"event_readtime": 1010,
"subject_type": "doc",
"subject_doc_id": "140222143932-91796b01f94327ee809bd759fd0f6c76",
"subject_page": 3
} {
"ts": 1393631983,
"visitor_uuid": "232eeca785873d35",
"visitor_source": "internal",
"visitor_device": "browser",
"visitor_useragent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.117 Safari/537.36",
"visitor_ip": "fcf9c67037f993f0",
"visitor_country": "MX",
"visitor_referrer": "63765fcd2ff864fd",
"env_type": "stream",
"env_ranking": 10,
"env_build": "1.7.118-b946",
"env_name": "explore",
"env_component": "editors_picks",
"event_type": "impression",
"subject_type": "doc",
"subject_doc_id": "100713205147-2ee05a98f1794324952eea5ca678c026",
"subject_page": 1
}
My task requires me to find subject_doc_id that matches an input from user and then display a histogram showing the countries in which that document has been viewed.
I have been able to read through the data that with my code and I am also familiar with how to plot a histogram but I need help on how to count the countries and display that in the histogram.
For example here in the data above "visitor_country":"MX" and "visitor_country":"BR" exist so I want the count of each country.
Any ideas on how I can achieve that?
CodePudding user response：
Your json file isn't correct json file. You need to add a "[" at the start and "]" at the end of a file and separate each "{}" section by comma. Here is an example:
Data.json
[
{
"ts": 1393631983,
"visitor_uuid": "ade7e1f63bc83c66",
"visitor_source": "external",
"visitor_device": "browser",
"visitor_useragent": "Opera/9.80 (Windows NT 6.1) Presto/2.12.388 Version/12.16",
"visitor_ip": "b5af0ba608ab307c",
"visitor_country": "BR",
"visitor_referrer": "53c643c16e8253e7",
"env_type": "reader",
"env_doc_id": "140222143932-91796b01f94327ee809bd759fd0f6c76",
"event_type": "pagereadtime",
"event_readtime": 1010,
"subject_type": "doc",
"subject_doc_id": "140222143932-91796b01f94327ee809bd759fd0f6c76",
"subject_page": 3
}, {
"ts": 1393631983,
"visitor_uuid": "232eeca785873d35",
"visitor_source": "internal",
"visitor_device": "browser",
"visitor_useragent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.117 Safari/537.36",
"visitor_ip": "fcf9c67037f993f0",
"visitor_country": "MX",
"visitor_referrer": "63765fcd2ff864fd",
"env_type": "stream",
"env_ranking": 10,
"env_build": "1.7.118-b946",
"env_name": "explore",
"env_component": "editors_picks",
"event_type": "impression",
"subject_type": "doc",
"subject_doc_id": "100713205147-2ee05a98f1794324952eea5ca678c026",
"subject_page": 1
}, {
"ts": 1393631983,
"visitor_uuid": "232eeca785873d35",
"visitor_source": "internal",
"visitor_device": "browser",
"visitor_useragent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.117 Safari/537.36",
"visitor_ip": "fcf9c67037f993f0",
"visitor_country": "PL",
"visitor_referrer": "63765fcd2ff864fd",
"env_type": "stream",
"env_ranking": 10,
"env_build": "1.7.118-b946",
"env_name": "explore",
"env_component": "editors_picks",
"event_type": "impression",
"subject_type": "doc",
"subject_doc_id": "100713205147-2ee05a98f1794324952eea5ca678c026",
"subject_page": 1
}
, {
"ts": 1393631983,
"visitor_uuid": "232eeca785873d35",
"visitor_source": "internal",
"visitor_device": "browser",
"visitor_useragent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.117 Safari/537.36",
"visitor_ip": "fcf9c67037f993f0",
"visitor_country": "PL",
"visitor_referrer": "63765fcd2ff864fd",
"env_type": "stream",
"env_ranking": 10,
"env_build": "1.7.118-b946",
"env_name": "explore",
"env_component": "editors_picks",
"event_type": "impression",
"subject_type": "doc",
"subject_doc_id": "100713205147-2ee05a98f1794324952eea5ca678c026",
"subject_page": 1
}
]
After that For each element in the data.json file i'm checking if it is a match to our input subject_doc_id. If we got a match i'm appending it to a list of matches, so we can collect the data for our histogram. After that i want to get a number of bins based on the number of unique countries to do so i'm creating a unique list of countries and then i'm checking it's length.
import matplotlib.pyplot as plt
import json
with open("data.json") as json_file:
data = json.load(json_file)
#Here is the subject id i'm using for the data presentation
#100713205147-2ee05a98f1794324952eea5ca678c026
subject_id = input("subject_doc_id: ")
visitors = []
for i in range(len(data)):
if subject_id == data[i]["subject_doc_id"]:
print("got a match from {}".format(data[i]["visitor_country"]))
visitors.append(data[i]["visitor_country"])
countries = []
for i in visitors:
if i not in countries:
countries.append(i)
try:
plt.hist(visitors, bins = len(countries))
plt.show()
except ValueError:
print("No matches for given subject_doc_id")
If you want to sort it by continents you need to first know which country belongs to which continent. My example:
continents = {
"europe": ["PL, GER"],
"south_america": ["BR"],
"north_america": ["MX"]
}
I'm python newbie so i don't know any fancy techniques to sort the previous lists except for loops.
continent_data = []
for continent in continents:
for visitor_country in visitors:
for country in continents[continent]:
if visitor_country in country:
continent_data.append(continent)
print(continent_data)
After that you can just use the previous code to sort it into unique values for bins and create a histogram based on the example above
CodePudding user response：
I had to slightly modify your file contents to make it valid JSON, and then saved it as 'jsonExample.json' in my working directory. Then with the json library (https://docs.python.org/3/library/json.html) you can just make a list with the country of each visitor and count how many times each one appears:
import json
with open("jsonExample.json", 'r') as file:
contents = file.read()
visitors = json.loads(contents)
countryList = []
for v in visitors.keys():
countryList.append(visitors[v]['visitor_country'])
for country in set(countryList):
print(f"Country {country} appears {countryList.count(country)} times")