python - Record Array to json.dumps -


i need generate json pandas dataframe, using df.to_json shows segmentation error, want find way create json , thing got create records array dataframe.

now need create json.dumps names of files. this

{ "id":123, "name":"myname"}

this code i've managed create , file (http://pastebin.com/iyeweftg): 

import pandas pd import json  columns = [u'salesorderid', u'orderdate', u'duedate', u'shipdate', u'salesordernumber', u'title', u'firstname', u'middlename', u'lastname', u'suffix', u'phonenumber', u'phonenumbertype', u'emailaddress', u'emailpromotion', u'addresstype', u'addressline1', u'addressline2', u'city', u'stateprovincename', u'postalcode', u'countryregionname', u'subtotal', u'taxamt', u'freight', u'totaldue', u'unitprice', u'productname', u'productsubcategory', u'productcategory'] data = pd.read_csv('../uploads/txtdatasimplified.txt', header=0, names=columns, sep='\t') data2 = data.to_records(index=0)    arrayjson = [] r in data2:     c in columns:         d=[]         d[c] = r.__getattribute__(c)     arrayjson.append(d)

i need json this:

[   {      'city':'sooke',    'firstname':'devin',    'title':nan,    'lastname':'phillips',    'subtotal':'189,97',    'orderdate':'2014-06-30 00:00:00.000',    'addresstype':'home',    'phonenumbertype':'home',    'taxamt':'15,1976',    'addressline2':nan,    'addressline1':'2742 cincerto circle',    'duedate':'2014-07-12 00:00:00.000',    'totaldue':'209,9169',    'shipdate':'2014-07-07 00:00:00.000',    'stateprovincename':'british columbia',    'middlename':nan,    'productcategory':'accessories',    'phonenumber':'425-555-0163',    'countryregionname':'canada',    'postalcode':'v0',    'salesordernumber':'so75123',    'suffix':nan,    'productname':'all-purpose bike stand',    'salesorderid':75123,    'emailaddress':'devin38@adventure-works.com',    'emailpromotion':0,    'freight':'4,7493',    'unitprice':'159',    'productsubcategory':'bike stands' }, {      'city':'sooke',    'firstname':'devin',    'title':nan,    'lastname':'phillips',    'subtotal':'189,97',    'orderdate':'2014-06-30 00:00:00.000',    'addresstype':'home',    'phonenumbertype':'home',    'taxamt':'15,1976',    'addressline2':nan,    'addressline1':'2742 cincerto circle',    'duedate':'2014-07-12 00:00:00.000',    'totaldue':'209,9169',    'shipdate':'2014-07-07 00:00:00.000',    'stateprovincename':'british columbia',    'middlename':nan,    'productcategory':'clothing',    'phonenumber':'425-555-0163',    'countryregionname':'canada',    'postalcode':'v0',    'salesordernumber':'so75123',    'suffix':nan,    'productname':'awc logo cap',    'salesorderid':75123,    'emailaddress':'devin38@adventure-works.com',    'emailpromotion':0,    'freight':'4,7493',    'unitprice':'8,99',    'productsubcategory':'caps' } ]

and error i'm getting is:

traceback (most recent call last):                                                                                                                                   file "/home/ubuntu/workspace/python/tests2.py", line 11, in <module>                                                                                                 d[c] = r.__getattribute__(c)                                                                                                                                   typeerror: list indices must integers, not unicode

but appreciate final result, i've been changings error error, unable want. need json insert in mongodb.

like error says, d list, trying index unicode strings. have change dictionary (d = {}).

however, output still wouldn't you'd expect. instead can this:

for r in data2:     arrayjson.append(dict(zip(columns, r.tolist())))

or this:

arrayjson = [dict(zip(columns, r.tolist())) r in data2]

tolist() convert record r normal list containing native python values. can serialized json.dumps. json.dumps may still include values such nan though, not valid json. can replace these values in dataframe using: data.fillna(value="", inplace=true).

this like:

import pandas pd import json  columns = [...] data = pd.read_csv('../uploads/txtdatasimplified.txt', header=0, names=columns, sep='\t') data.fillna(value="", inplace=true) data2 = data.to_records(index=0)  arrayjson = [dict(zip(columns, r.tolist())) r in data2] print(json.dumps(arrayjson))

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