json.loads(northumbria2020Data) can be replaced with json.load(resp2)614 # Read and load data in panada dataframe
615 jsonFormatNorthumbria2021Data = json.loads(northumbria2021Data)
616 northumbria2021Dataset = pd.json_normalize(jsonFormatNorthumbria2021Data)
617 jsonFormatNorthumbria2020Data = json.loads(northumbria2020Data)618 northumbria2020Dataset = pd.json_normalize(jsonFormatNorthumbria2020Data)
619 # print(clevelandJuneDataset)
620json.loads(northumbria2020Data) can be replaced with json.load(resp2)559 # Read and load data in panada dataframe
560 jsonFormatNorthumbria2021Data = json.loads(northumbria2021Data)
561 northumbria2021Dataset = pd.json_normalize(jsonFormatNorthumbria2021Data)
562 jsonFormatNorthumbria2020Data = json.loads(northumbria2020Data)563 northumbria2020Dataset = pd.json_normalize(jsonFormatNorthumbria2020Data)
564 # print(clevelandJuneDataset)
565
Description
The json module provides two ways to read JSON data: a .loads() method that
accepts a JSON string, and a .load() method, that works on files directly.
So instead of reading a file manually and passing it to json.loads(), it is
recommended to use json.load() directly.
Bad practice
with open('data.json') as file:
data = json.loads(file.read()) # Reading file manually
class Socket:
def read_json(self, data):
json.loads(self.socket.read()) # Reading socket manually
self.socket.close()
Recommended
with open('data.json') as file:
data = json.load(file) # Directly passing the file object
class Socket:
def read_json(self, data):
json.load(self.socket) # Directly passing the socket object
self.socket.close()