def multi_page(self):
print_colored_red = lambda x: colored(x, 'red')
site = self.config.wallhaven_URL()
while site:
print_colored_red("Looking at page: %s" % site)
self.site_queue.put(site)
site = self.config.wallhaven_URL()
start = time.time()
self.runThreads()
end = time.time() - start
self.printResults(end)
def printResults(self, time):
print_colored_magenta = lambda x: colored(x, 'magenta')
print_colored_cyan = lambda x: colored(x, 'cyan')
print("You have downloaded:", print_colored_magenta(self.added_imgs), "new images to your directory and skipped:", print_colored_magenta(self.skipped_imgs), "images")
print_colored_cyan('It took:'), print_colored_magenta(time), print_colored_cyan('seconds')
sampleId = 753692
camasId = 2373510
# # Example
flickr = flickrapi.FlickrAPI(apikey, secret)
request = flickr.places.getChildrenWithPhotosPublic(woe_id=sampleId)
list = request[0].getchildren()
print("length: %s" % len(list))
x = []
y = []
z = []
for item in list:
if item.attrib['place_type_id'] == '22':
print("latitude: %s, longitude: %s \n\t-> %s" % (colored(item.attrib['latitude'], "green"), colored(item.attrib['longitude'], "green"), colored(item.text, "blue")))
x.append(float(item.attrib['latitude']))
y.append(float(item.attrib['longitude']))
z.append(int(item.attrib['photo_count']))
#df = pd.DataFrame({'latitude':x, 'longitude':y, 'photo_count':z})
#xmin = df['latitude'].min()
#xmax = df['latitude'].max()
#ymin = df['longitude'].min()
#ymax = df['longitude'].max()
xmin = min(x)
xmax = max(x)
ymin = min(y)
ymax = max(y)
