More Than a Feeling — it’s a Rating

Photo by Lance Anderson on Unsplash
import pandas as pd
import numpy as np
import requests
import json
#from yelp.client import Client
import matplotlib.pyplot as plt
url = ''
response = requests.get(url)
# check the status code
MY_API_KEY = "insert_your_key_here"term = 'bagels'
location = 'Boston'
url = ''headers = {
'Authorization': 'Bearer {}'.format(MY_API_KEY),
url_params = {
'term': term.replace(' ', '+'),
'location': location.replace(' ', '+'),
response_bagels = requests.get(url, headers=headers, params=url_params)
bagels = json.loads(response_bagels.text)
print(type(bagels)) #spoiler - jsons are dictionaries
for key in bagels.keys():
#making the bagels dictionary a dataframe
bagels_df = pd.DataFrame.from_dict(bagels['businesses'])
df = bagels_df.loc[:,['name', 'rating', 'review_count', 'price', 'location']]
df = df.sort_values('rating', ascending = False)
fig, ax = plt.subplots(figsize = (15,7.5))
x = df['name'][:25]
y = df['rating'][:25]
ax.set_xlabel('Name', fontsize = 17)
ax.set_ylabel('Rating', fontsize = 17)
ax.set_title('Bagel Places Boston', fontsize = 24)
plt.xticks(rotation=80, fontsize = 15),y, color = 'dodgerblue')
Photo by Katarzyna Grabowska on Unsplash | Charles River




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Raizel Bernstein

Raizel Bernstein

Aspiring Data Scientist

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