Loading a file with more than one line of JSON into Pandas
Question:
I am trying to read in a JSON file into Python pandas (0.14.0) data frame. Here is the first line line of the JSON file:
{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "P_Mk0ygOilLJo4_WEvabAA", "review_id": "OeT5kgUOe3vcN7H6ImVmZQ", "stars": 3, "date": "2005-08-26", "text": "This is a pretty typical cafe. The sandwiches and wraps are good but a little overpriced and the food items are the same. The chicken caesar salad wrap is my favorite here but everything else is pretty much par for the course.", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}
I am trying do the following:df = pd.read_json(path).
I am getting the following error (with full traceback):
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/d/anaconda/lib/python2.7/site-packages/pandas/io/json.py", line 198, in read_json
date_unit).parse()
File "/Users/d/anaconda/lib/python2.7/site-packages/pandas/io/json.py", line 266, in parse
self._parse_no_numpy()
File "/Users/d/anaconda/lib/python2.7/site-packages/pandas/io/json.py", line 483, in _parse_no_numpy
loads(json, precise_float=self.precise_float), dtype=None)
ValueError: Trailing data
What is the Trailing data error? How do I read it into a data frame?
Following some suggestions, here are few lines of the .json file:
{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "P_Mk0ygOilLJo4_WEvabAA", "review_id": "OeT5kgUOe3vcN7H6ImVmZQ", "stars": 3, "date": "2005-08-26", "text": "This is a pretty typical cafe. The sandwiches and wraps are good but a little overpriced and the food items are the same. The chicken caesar salad wrap is my favorite here but everything else is pretty much par for the course.", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}
{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "TNJRTBrl0yjtpAACr1Bthg", "review_id": "qq3zF2dDUh3EjMDuKBqhEA", "stars": 3, "date": "2005-11-23", "text": "I agree with other reviewers - this is a pretty typical financial district cafe. However, they have fantastic pies. I ordered three pies for an office event (apple, pumpkin cheesecake, and pecan) - all were delicious, particularly the cheesecake. The sucker weighed in about 4 pounds - no joke.nnNo surprises on the cafe side - great pies and cakes from the catering business.", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}
{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "H_mngeK3DmjlOu595zZMsA", "review_id": "i3eQTINJXe3WUmyIpvhE9w", "stars": 3, "date": "2005-11-23", "text": "Decent enough food, but very overpriced. Just a large soup is almost $5. Their specials are $6.50, and with an overpriced soda or juice, it's approaching $10. A bit much for a cafe lunch!", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}
This .json file I am using contains one JSON object in each line as per the specification.
I tried the jsonlint.com website as suggested and it gives the following error:
Parse error on line 14:
...t7sRT4zwdbzQ8KQmw"}{ "votes": {
----------------------^
Expecting 'EOF', '}', ',', ']'
Answers:
You have to read it line by line. For example, you can use the following code provided by ryptophan on reddit:
import pandas as pd
# read the entire file into a python array
with open('your.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)
From version 0.19.0 of Pandas you can use the lines parameter, like so:
import pandas as pd
data = pd.read_json('/path/to/file.json', lines=True)
The following code helped me to load JSON content into a dataframe:
import json
import pandas as pd
with open('Appointment.json', encoding="utf8") as f:
data = f.readlines()
data = [json.loads(line) for line in data] #convert string to dict format
df = pd.read_json(data) # Load into dataframe
I had a similar problem.
It turns out that pd.read_json(myfile.json) will search in the parent folder automatically, but it returns this ‘trailing data’ error if you’re not in the same folder as the file.
I figured it out, because when I tried to do it with open('myfile.json', 'r'), and I got a FileNotFound error, so I checked the paths.
I had failed to move myfile.json into the same folder as my notebook.
Changing it to pd.read_json('../myfile.json') just worked.
I’ve also faced same problem. It happens when your data is written in lines separated by endlines like ‘n’; You need to first read them in lines, then convert each line to python built-in types.
I solved it in this way:
with open("/path/to/file") as f:
content = f.readlines()
data = [eval(c) for c in content]
data = pd.DataFrame(data)
Good luck!
I am trying to read in a JSON file into Python pandas (0.14.0) data frame. Here is the first line line of the JSON file:
{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "P_Mk0ygOilLJo4_WEvabAA", "review_id": "OeT5kgUOe3vcN7H6ImVmZQ", "stars": 3, "date": "2005-08-26", "text": "This is a pretty typical cafe. The sandwiches and wraps are good but a little overpriced and the food items are the same. The chicken caesar salad wrap is my favorite here but everything else is pretty much par for the course.", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}
I am trying do the following:df = pd.read_json(path).
I am getting the following error (with full traceback):
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/d/anaconda/lib/python2.7/site-packages/pandas/io/json.py", line 198, in read_json
date_unit).parse()
File "/Users/d/anaconda/lib/python2.7/site-packages/pandas/io/json.py", line 266, in parse
self._parse_no_numpy()
File "/Users/d/anaconda/lib/python2.7/site-packages/pandas/io/json.py", line 483, in _parse_no_numpy
loads(json, precise_float=self.precise_float), dtype=None)
ValueError: Trailing data
What is the Trailing data error? How do I read it into a data frame?
Following some suggestions, here are few lines of the .json file:
{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "P_Mk0ygOilLJo4_WEvabAA", "review_id": "OeT5kgUOe3vcN7H6ImVmZQ", "stars": 3, "date": "2005-08-26", "text": "This is a pretty typical cafe. The sandwiches and wraps are good but a little overpriced and the food items are the same. The chicken caesar salad wrap is my favorite here but everything else is pretty much par for the course.", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}
{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "TNJRTBrl0yjtpAACr1Bthg", "review_id": "qq3zF2dDUh3EjMDuKBqhEA", "stars": 3, "date": "2005-11-23", "text": "I agree with other reviewers - this is a pretty typical financial district cafe. However, they have fantastic pies. I ordered three pies for an office event (apple, pumpkin cheesecake, and pecan) - all were delicious, particularly the cheesecake. The sucker weighed in about 4 pounds - no joke.nnNo surprises on the cafe side - great pies and cakes from the catering business.", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}
{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "H_mngeK3DmjlOu595zZMsA", "review_id": "i3eQTINJXe3WUmyIpvhE9w", "stars": 3, "date": "2005-11-23", "text": "Decent enough food, but very overpriced. Just a large soup is almost $5. Their specials are $6.50, and with an overpriced soda or juice, it's approaching $10. A bit much for a cafe lunch!", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}
This .json file I am using contains one JSON object in each line as per the specification.
I tried the jsonlint.com website as suggested and it gives the following error:
Parse error on line 14:
...t7sRT4zwdbzQ8KQmw"}{ "votes": {
----------------------^
Expecting 'EOF', '}', ',', ']'
You have to read it line by line. For example, you can use the following code provided by ryptophan on reddit:
import pandas as pd
# read the entire file into a python array
with open('your.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)
From version 0.19.0 of Pandas you can use the lines parameter, like so:
import pandas as pd
data = pd.read_json('/path/to/file.json', lines=True)
The following code helped me to load JSON content into a dataframe:
import json
import pandas as pd
with open('Appointment.json', encoding="utf8") as f:
data = f.readlines()
data = [json.loads(line) for line in data] #convert string to dict format
df = pd.read_json(data) # Load into dataframe
I had a similar problem.
It turns out that pd.read_json(myfile.json) will search in the parent folder automatically, but it returns this ‘trailing data’ error if you’re not in the same folder as the file.
I figured it out, because when I tried to do it with open('myfile.json', 'r'), and I got a FileNotFound error, so I checked the paths.
I had failed to move myfile.json into the same folder as my notebook.
Changing it to pd.read_json('../myfile.json') just worked.
I’ve also faced same problem. It happens when your data is written in lines separated by endlines like ‘n’; You need to first read them in lines, then convert each line to python built-in types.
I solved it in this way:
with open("/path/to/file") as f:
content = f.readlines()
data = [eval(c) for c in content]
data = pd.DataFrame(data)
Good luck!