Error: Field larger than field limit (131072)
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0
I am using big csv data in spyder python to convert csv to json but it shows error field larger than field limit (131072).
Script for conversion:
import csv
import json
file = r'abcdata.csv'
json_file = r'abcdata.json'
#Read CSV File
def read_CSV(file, json_file):
csv_rows =
with open(file) as csvfile:
reader = csv.DictReader(csvfile)
field = reader.fieldnames
for row in reader:
csv_rows.extend([{field[i]:row[field[i]] for i in range(len(field))}])
convert_write_json(csv_rows, json_file)
#Convert csv data into json
def convert_write_json(data, json_file):
with open(json_file, "w") as f:
f.write(json.dumps(data, sort_keys=False, indent=1, separators=(',', ': '))) #for pretty
f.write(json.dumps(data))
read_CSV(file, json_file)
python json csv data-conversion
edited Jan 4 at 16:26
CristiFati
15.2k72638
asked Jan 4 at 16:05
NAkNAk
1
add a comment |
0
I am using big csv data in spyder python to convert csv to json but it shows error field larger than field limit (131072).
Script for conversion:
import csv
import json
file = r'abcdata.csv'
json_file = r'abcdata.json'
#Read CSV File
def read_CSV(file, json_file):
csv_rows =
with open(file) as csvfile:
reader = csv.DictReader(csvfile)
field = reader.fieldnames
for row in reader:
csv_rows.extend([{field[i]:row[field[i]] for i in range(len(field))}])
convert_write_json(csv_rows, json_file)
#Convert csv data into json
def convert_write_json(data, json_file):
with open(json_file, "w") as f:
f.write(json.dumps(data, sort_keys=False, indent=1, separators=(',', ': '))) #for pretty
f.write(json.dumps(data))
read_CSV(file, json_file)
python json csv data-conversion
edited Jan 4 at 16:26
CristiFati
15.2k72638
asked Jan 4 at 16:05
NAkNAk
1
Please add the stacktrace. And also add some more data about the data you're using, row/column number, file size, and so on.
– CristiFati
Jan 4 at 16:24
add a comment |
0
0
0
I am using big csv data in spyder python to convert csv to json but it shows error field larger than field limit (131072).
Script for conversion:
import csv
import json
file = r'abcdata.csv'
json_file = r'abcdata.json'
#Read CSV File
def read_CSV(file, json_file):
csv_rows =
with open(file) as csvfile:
reader = csv.DictReader(csvfile)
field = reader.fieldnames
for row in reader:
csv_rows.extend([{field[i]:row[field[i]] for i in range(len(field))}])
convert_write_json(csv_rows, json_file)
#Convert csv data into json
def convert_write_json(data, json_file):
with open(json_file, "w") as f:
f.write(json.dumps(data, sort_keys=False, indent=1, separators=(',', ': '))) #for pretty
f.write(json.dumps(data))
read_CSV(file, json_file)
python json csv data-conversion
edited Jan 4 at 16:26
CristiFati
15.2k72638
asked Jan 4 at 16:05
NAkNAk
1
I am using big csv data in spyder python to convert csv to json but it shows error field larger than field limit (131072).
Script for conversion:
import csv
import json
file = r'abcdata.csv'
json_file = r'abcdata.json'
#Read CSV File
def read_CSV(file, json_file):
csv_rows =
with open(file) as csvfile:
reader = csv.DictReader(csvfile)
field = reader.fieldnames
for row in reader:
csv_rows.extend([{field[i]:row[field[i]] for i in range(len(field))}])
convert_write_json(csv_rows, json_file)
#Convert csv data into json
def convert_write_json(data, json_file):
with open(json_file, "w") as f:
f.write(json.dumps(data, sort_keys=False, indent=1, separators=(',', ': '))) #for pretty
f.write(json.dumps(data))
read_CSV(file, json_file)
python json csv data-conversion
python json csv data-conversion
edited Jan 4 at 16:26
CristiFati
15.2k72638
asked Jan 4 at 16:05
NAkNAk
1
edited Jan 4 at 16:26
CristiFati
15.2k72638
asked Jan 4 at 16:05
NAkNAk
1
edited Jan 4 at 16:26
CristiFati
15.2k72638
edited Jan 4 at 16:26
CristiFati
15.2k72638
edited Jan 4 at 16:26
CristiFati
15.2k72638
15.2k72638
asked Jan 4 at 16:05
NAkNAk
1
asked Jan 4 at 16:05
NAkNAk
1
asked Jan 4 at 16:05
NAkNAk
1
1
Please add the stacktrace. And also add some more data about the data you're using, row/column number, file size, and so on.
– CristiFati
Jan 4 at 16:24
add a comment |
Please add the stacktrace. And also add some more data about the data you're using, row/column number, file size, and so on.
– CristiFati
Jan 4 at 16:24
Please add the stacktrace. And also add some more data about the data you're using, row/column number, file size, and so on.
– CristiFati
Jan 4 at 16:24
Please add the stacktrace. And also add some more data about the data you're using, row/column number, file size, and so on.
– CristiFati
Jan 4 at 16:24
add a comment |
1 Answer
1
active
oldest
votes
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You must have large columns of data. The default limit for the data in a single column is csv.field_size_limit(). It can be changed:
>>> import csv
>>> csv.field_size_limit()
131072
>>> csv.field_size_limit(256<<10)
131072
>>> csv.field_size_limit()
262144
You could also be reading the .CSV incorrectly.
answered Jan 4 at 17:50
Mark TolonenMark Tolonen
97.2k13117178
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
You must have large columns of data. The default limit for the data in a single column is csv.field_size_limit(). It can be changed:
>>> import csv
>>> csv.field_size_limit()
131072
>>> csv.field_size_limit(256<<10)
131072
>>> csv.field_size_limit()
262144
You could also be reading the .CSV incorrectly.
answered Jan 4 at 17:50
Mark TolonenMark Tolonen
97.2k13117178
add a comment |
0
You must have large columns of data. The default limit for the data in a single column is csv.field_size_limit(). It can be changed:
>>> import csv
>>> csv.field_size_limit()
131072
>>> csv.field_size_limit(256<<10)
131072
>>> csv.field_size_limit()
262144
You could also be reading the .CSV incorrectly.
answered Jan 4 at 17:50
Mark TolonenMark Tolonen
97.2k13117178
add a comment |
0
0
0
You must have large columns of data. The default limit for the data in a single column is csv.field_size_limit(). It can be changed:
>>> import csv
>>> csv.field_size_limit()
131072
>>> csv.field_size_limit(256<<10)
131072
>>> csv.field_size_limit()
262144
You could also be reading the .CSV incorrectly.
answered Jan 4 at 17:50
Mark TolonenMark Tolonen
97.2k13117178
You must have large columns of data. The default limit for the data in a single column is csv.field_size_limit(). It can be changed:
>>> import csv
>>> csv.field_size_limit()
131072
>>> csv.field_size_limit(256<<10)
131072
>>> csv.field_size_limit()
262144
You could also be reading the .CSV incorrectly.
answered Jan 4 at 17:50
Mark TolonenMark Tolonen
97.2k13117178
edited Jan 4 at 17:56
answered Jan 4 at 17:50
Mark TolonenMark Tolonen
97.2k13117178
answered Jan 4 at 17:50
Mark TolonenMark Tolonen
97.2k13117178
answered Jan 4 at 17:50
Mark TolonenMark Tolonen
97.2k13117178
97.2k13117178
add a comment |
add a comment |
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Please add the stacktrace. And also add some more data about the data you're using, row/column number, file size, and so on.
– CristiFati
Jan 4 at 16:24