Read JSON
Big data sets are often stored, or extracted as JSON.
JSON is plain text, but has the format of an object, and is well known in the world of programming, including Pandas.
In our examples we will be using a JSON file called 'data.json'.
Open data.json.
Example
import pandas as pd
df = pd.read_json('data.json')
print(df.to_string())
Tip: use
to_string()to print the entire DataFrame.
Dictionary as JSON
Note: JSON = Python Dictionary JSON objects have the same format as Python dictionaries.
If your JSON code is not in a file, but in a Python Dictionary, you can load it into a DataFrame directly:
Example
import pandas as pd
data = {
"Duration":{
"0":60,
"1":60,
"2":60,
"3":45,
"4":45,
"5":60
},
"Pulse":{
"0":110,
"1":117,
"2":103,
"3":109,
"4":117,
"5":102
},
"Maxpulse":{
"0":130,
"1":145,
"2":135,
"3":175,
"4":148,
"5":127
},
"Calories":{
"0":409,
"1":479,
"2":340,
"3":282,
"4":406,
"5":300
}
}
df = pd.DataFrame(data)
print(df)