Read json file as pandas dataframe?

Question

I am using python 3.6 and trying to download json file (350 MB) as pandas dataframe using the code below. However, I get the following error:

data_json_str = "[" + ",".join(data) + "]
"TypeError: sequence item 0: expected str instance, bytes found

How can I fix the error?

import pandas as pd

# read the entire file into a python array
with open('C:/Users/Alberto/nutrients.json', 'rb') as f:
   data = f.readlines()

# remove the trailing "\n" from each line
data = map(lambda x: x.rstrip(), data)

# each element of 'data' is an individual JSON object.
# i want to convert it into an *array* of JSON objects
# which, in and of itself, is one large JSON object
# basically... add square brackets to the beginning
# and end, and have all the individual business JSON objects
# separated by a comma
data_json_str = "[" + ",".join(data) + "]"

# now, load it into pandas
data_df = pd.read_json(data_json_str)

Solution 1

If you open the file as binary ('rb'), you will get bytes. How about:

with open('C:/Users/Alberto/nutrients.json', 'rU') as f:

Also as noted in this answer you can also use pandas directly like:

df = pd.read_json('C:/Users/Alberto/nutrients.json', lines=True)

Solution 2

From your code, it looks like you're loading a JSON file which has JSON data on each separate line. read_json supports a lines argument for data like this:

data_df = pd.read_json('C:/Users/Alberto/nutrients.json', lines=True)

Note
Remove lines=True if you have a single JSON object instead of individual JSON objects on each line.

Solution 3

Using the json module you can parse the json into a python object, then create a dataframe from that:

import json
import pandas as pd
with open('C:/Users/Alberto/nutrients.json', 'r') as f:
    data = json.load(f)
df = pd.DataFrame(data)

Solution 4

if you want to convert it into an array of JSON objects, I think this one will do what you want

import json
data = []
with open('nutrients.json', errors='ignore') as f:
    for line in f:
        data.append(json.loads(line))
print(data[0])

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Comments

[Biranchi]

I used the above code and got "JSONDecodeError: Extra data: line 2 column 1 (char 110)"

[Kubra Altun]

what is Value1 here? name of the column?

[Yashraj Nigam]

@Kubra Value1 is key and the corresponding value will be returned.

[questionto42standswithUkraine]

No need for 'r' in my case, though not harming either (untested, just from experience),