def process(htmlfile):
"""
The workhorse program. Iterates through each file and extracts the
passers from each HTML file and writes them to a csv file
"""
page = open(htmlfile)
soup = BeautifulSoup(page)
tables = soup.findAll('table', {'class': ['printable']})
#check if file exists and append if it does
outfile = 'passers.csv'
if os.path.isfile(outfile):
f = open('passers.csv','ab')
writer = csvkit.writer(f)
else:
f = open('passers.csv','wb')
writer = csvkit.writer(f)
writer.writerow(("Name", "Campus", "Course"))
for row in tables[0].findAll('tr')[1:]:
col = row.findAll('td')
name = col[0].text
if name.endswith(")"):
name = name[:-13]
campus = col[1].text
course = col[2].text
#print name, campus, course
writer.writerow( (name, campus, course))
f.close()
page.close()
def to_csv(self, path, **kwargs):
"""
Write this table to a CSV. This method will use csvkit if it is
available, otherwise it will use Python's builtin csv module.
``kwargs`` will be passed through to :meth:`csv.writer`.
If you are using Python 2 and not using csvkit, this method is not
unicode-safe.
:param path: Filepath or file-like object to write to.
"""
if 'lineterminator' not in kwargs:
kwargs['lineterminator'] = '\n'
close = True
try:
if hasattr(path, 'write'):
f = path
close = False
else:
f = open(path, 'w')
writer = csv.writer(f, **kwargs)
writer.writerow(self._column_names)
for row in self._rows:
writer.writerow(row)
finally:
if close:
f.close()
def __init__(self):
self.argparser = argparse.ArgumentParser(
description='A command line utility for processing FEC data dumps.'
)
self.argparser.add_argument(
dest='input', action='store',
help='Path to input CSV.'
)
self.argparser.add_argument(
dest='output', action='store',
help='Path to output CSV.'
)
self.argparser.add_argument(
'-a', '--amendments',
dest='keep_amendments', action='store_true',
help='Keep amendments (instead of filtering them out).'
)
self.argparser.add_argument(
'-o', '--office',
dest='office', action='store',
help='Filter output only a certain office.'
)
self.args = self.argparser.parse_args()
self.amended_ids = set()
# Read input data
with open(self.args.input) as f:
reader = csvkit.reader(f)
self.header = reader.next()
rows = list(reader)
sys.stdout.write('Read %i rows\n' % len(rows))
# Discover amendments
if not self.args.keep_amendments:
for row in rows:
if row[self.header.index('amn_ind')] != 'N':
self.amended_ids.add(row[self.header.index('prev_file_num')])
# Filter data
output_rows = filter(self.filter_row, rows)
sys.stdout.write('Saving %i rows\n' % len(output_rows))
# Write output
with open(self.args.output, 'w') as f:
writer = csvkit.writer(f)
writer.writerow(self.header)
writer.writerows(output_rows)
def to_csv(self, output, **kwargs):
"""
Serializes the table to CSV and writes it to any file-like object.
"""
rows = self.to_rows(serialize_dates=True)
# Insert header row
rows.insert(0, self.headers())
csv_writer = writer(output, **kwargs)
csv_writer.writerows(rows)
def test_writer_alias(self):
output = six.StringIO()
writer = csvkit.writer(output)
writer.writerow(['a', 'b', 'c'])
writer.writerow(['1', '2', '3'])
writer.writerow(['4', '5', u'ʤ'])
written = six.StringIO(output.getvalue())
reader = csvkit.reader(written)
self.assertEqual(next(reader), ['a', 'b', 'c'])
self.assertEqual(next(reader), ['1', '2', '3'])
self.assertEqual(next(reader), ['4', '5', u'ʤ'])
def test_writer_alias(self):
output = six.StringIO()
writer = csvkit.writer(output)
writer.writerow(['a', 'b', 'c'])
writer.writerow(['1', '2', '3'])
writer.writerow(['4', '5', u'ʤ'])
written = six.StringIO(output.getvalue())
reader = csvkit.reader(written)
self.assertEqual(next(reader), ['a', 'b', 'c'])
self.assertEqual(next(reader), ['1', '2', '3'])
self.assertEqual(next(reader), ['4', '5', u'ʤ'])
def test_writer_alias(self):
output = six.StringIO()
writer = csvkit.writer(output, encoding='utf-8')
self.assertEqual(writer._eight_bit, True)
writer.writerow(['a', 'b', 'c'])
writer.writerow(['1', '2', '3'])
writer.writerow(['4', '5', u'ʤ'])
written = six.StringIO(output.getvalue())
reader = csvkit.reader(written, encoding='utf-8')
self.assertEqual(next(reader), ['a', 'b', 'c'])
self.assertEqual(next(reader), ['1', '2', '3'])
self.assertEqual(next(reader), ['4', '5', u'ʤ'])
def test_writer_alias(self):
output = six.StringIO()
writer = csvkit.writer(output, encoding='utf-8')
self.assertEqual(writer._eight_bit, True)
writer.writerow(['a', 'b', 'c'])
writer.writerow(['1', '2', '3'])
writer.writerow(['4', '5', u'ʤ'])
written = six.StringIO(output.getvalue())
reader = csvkit.reader(written, encoding='utf-8')
self.assertEqual(next(reader), ['a', 'b', 'c'])
self.assertEqual(next(reader), ['1', '2', '3'])
self.assertEqual(next(reader), ['4', '5', u'ʤ'])
def clean(self):
"""
Cleans the provided source TSV file and writes it out in CSV format.
"""
# Create the output object
with open(self.csv_path, 'w') as csv_file:
# Create the CSV writer
csv_writer = csvkit.writer(csv_file)
# Write the headers
csv_writer.writerow(self.headers)
# Write out the rows
[csv_writer.writerow(row) for row in self._convert_tsv()]
# Log errors if there are any
if self.log_rows:
# Log to the terminal
if self.verbosity > 2:
msg = ' {} errors logged (not including empty lines)'
self.failure(msg.format(len(self.log_rows)))
# Log to the file
with open(self.error_log_path, 'w') as log_file:
log_writer = csvkit.writer(log_file, quoting=csv.QUOTE_ALL)
log_writer.writerow(['headers', 'fields', 'value'])
log_writer.writerows(self.log_rows)
# Add counts to raw_file_record
self.raw_file.clean_columns_count = self.headers_count
self.raw_file.error_count = len(self.log_rows)
self.raw_file.clean_records_count = self.raw_file.download_records_count - self.raw_file.error_count
# Add file size to the raw_file_record
self.raw_file.download_file_size = os.path.getsize(self.tsv_path) or 0
self.raw_file.clean_file_size = os.path.getsize(self.csv_path) or 0
# Save it in case it crashes in the next step
self.raw_file.save()
def export_sources_csv(cursor, output_filename):
cursor.row_factory = sqlite3.Row
sql = """
SELECT author,name,country,volume_number,volume_date,editor,edition_date,pages,shelf_number,URL,source_category,type,notes
FROM sources as s
WHERE s.slug in (SELECT distinct source from flow_joined) OR
s.slug in (SELECT distinct source from exchange_rates)"""
rows = cursor.execute(sql)
first = next(rows)
with open(output_filename, 'w') as f:
dw = csvkit.writer(f)
dw.writerow(["bibliographic reference"] + first.keys())
dw.writerow(formatRef(first))
dw.writerows(formatRef(r) for r in rows)
return 0
return 1
def tsvTOcsv(input_file_name, out_file):
"""
converts tsv formatted files to csv,
used to make the csv file that is readable by this EEG report feature analyzer
:param input_file_name: a tsv file
:param out_file: a csv file
:return:
"""
i = 0
with open(input_file_name, 'rb') as tsvin, open(out_file, 'wb') as csvout:
tsvin = csv.reader(tsvin, delimiter='\t')
csvout = csv.writer(csvout)
for row in tsvin:
if len(row) > 0:
csvout.writerow(row)
def to_csv(self, file_path):
""" Store all categories as a csv file
"""
columns = ["id", "label", "parent"]
with open(file_path, 'w') as f:
writer = csv.writer(f)
writer.writerow(columns)
for category in self.categories:
if category.parent:
parent = category.parent.id
else:
parent = None
row = [
category.id,
category.label,
parent,
]
writer.writerow(row)
def generate_dictionary(self):
dataset_id = self.dataset.id
dim_id = self.id
if dim_id in AJAX_API_ENDPOINTS[dataset_id]:
opts = AJAX_API_ENDPOINTS[dataset_id][dim_id]
categories = self._categories_from_ajax_api()
file_dir = os.path.join("vantetider/data", dataset_id)
file_path = os.path.join(file_dir, dim_id + ".csv")
if not os.path.exists(file_dir):
os.makedirs(file_dir)
with open(file_path, 'w') as f:
writer = csv.writer(f)
headers = ["id", "label"]
if "attributes" in opts:
headers += [x[1] for x in opts["attributes"]]
writer.writerow(headers)
for cat in categories.values():
row = [getattr(cat, x) for x in headers]
writer.writerow(row)
def to_csv(self, path, **kwargs):
"""
Write table to a CSV. Will use csvkit if it is available, otherwise
will use Python's builtin csv module. ``args`` and ``kwargs``
will be passed through to :meth:`csv.writer`.
Note: if using Python 2 and not using csvkit, this method is not
unicode-safe.
:param path: Path to the CSV file to read from.
"""
if 'lineterminator' not in kwargs:
kwargs['lineterminator'] = '\n'
with open(path, 'w') as f:
writer = csv.writer(f, **kwargs)
writer.writerow(self._column_names)
for row in self._data:
writer.writerow(row)
def to_csv(self, path, **kwargs):
"""
Write table to a CSV. Will use csvkit if it is available, otherwise
will use Python's builtin csv module. ``args`` and ``kwargs``
will be passed through to :meth:`csv.writer`.
Note: if using Python 2 and not using csvkit, this method is not
unicode-safe.
:param path: Path to the CSV file to read from.
"""
if 'lineterminator' not in kwargs:
kwargs['lineterminator'] = '\n'
with open(path, 'w') as f:
writer = csv.writer(f, **kwargs)
writer.writerow(self._column_names)
for row in self._data:
writer.writerow(row)
def csv_writer(csv_file):
yield csv.writer(csv_file)
#! /usr/bin/env python
# from http://unix.stackexchange.com/questions/60590/is-there-a-command-line-utility-to-transpose-a-csv-file
import csvkit as csv, sys
rows = list(csv.reader(sys.stdin))
writer = csv.writer(sys.stdout)
for col in xrange(0, len(rows[0])):
writer.writerow([row[col] for row in rows])
def csv_writer(response):
yield csv.writer(response)
def csv_writer(response):
yield csv.writer(response)
def csv_writer(csv_file):
yield csv.writer(csv_file)
def process_files():
# Get the uploaded files
isw_name = request.forms.get('isw_name')
ineligible_attended_file = request.files.get('ineligible_attended')
ineligible_registered_file = request.files.get('ineligible_registered')
waitlist_file = request.files.get('waitlist')
registrants_file = request.files.get('registrants')
if not (file_ext_ok(ineligible_attended_file.filename) and file_ext_ok(ineligible_registered_file.filename)
and file_ext_ok(waitlist_file.filename) and file_ext_ok(registrants_file.filename)):
return 'Unfortunately, this thing can only handle CSV or XLS files.'
# Read all the files into lists of Persons
ineligible_registered = listreader.readRegistered(listreader.getReader(ineligible_registered_file))
ineligible_attended = listreader.readAttended(listreader.getReader(ineligible_attended_file))
registrants = listreader.readRegistrants(listreader.getReader(registrants_file))
waitlist = listreader.readWaitlist(listreader.getReader(waitlist_file))
# Remove ineligible registrants
registrants = [person for person in registrants if person not in ineligible_registered]
registrants = [person for person in registrants if person not in ineligible_attended]
# All registrants are eligible at this point, so add them into the pool once
pool = []
info = {}
for person in registrants:
pool.append(person)
info.setdefault(person.email, person)
# Insert people into the pool however many times they're on the waitlist
waitlist = Counter(waitlist) # Count how many times each person appears in the waitlist
registrants_in_waitlist = [person for person in registrants if person in waitlist]
for person in registrants_in_waitlist:
numTimesWaitlisted = waitlist[person]
for i in range(numTimesWaitlisted):
pool.append(person)
# randomly assign people in the pool a ranking
ranking = []
while len(pool) > 0:
rand = randrange(len(pool))
# this person was randomly selected
randperson = pool[rand]
ranking.append(randperson)
# remove this person from the pool
pool = [person for person in pool if person != randperson]
# write the output file
output_file_path = "results/" + isw_name + ".csv"
with open(output_file_path, 'wb') as output_file:
outputwriter = writer(output_file)
outputwriter.writerow(["First Name", "Last Name", "Email", "Cell or Home Phone Number", "Address (Street Address)", "Address (Address Line 2)",
"Address (City)", "Address (State / Province)", "Address (ZIP / Postal Code)", "Address (Country)", "Institution",
"Degree", "Faculty", "Department", "Is this your first time submitting your name for an ISW workshop?",
"Have you ever been employed OR received funds from UBC?"])
for person in ranking:
user = info.get(person.email)
outputwriter.writerow([user.firstname, user.lastname, user.email, user.number, user.address1, user.address2,
user.city, user.state, user.zip, user.country, user.institution,
user.degree, user.faculty, user.department, user.firsttime, user.fund])
return dict(ranking=ranking, output_file=output_file_path)
def handle(self, *args, **options):
verbosity = options['verbosity']
if verbosity == '0':
self.logger.setLevel(logging.ERROR)
elif verbosity == '1':
self.logger.setLevel(logging.WARNING)
elif verbosity == '2':
self.logger.setLevel(logging.INFO)
elif verbosity == '3':
self.logger.setLevel(logging.DEBUG)
csvfile = options['csv_file']
encoding = options['encoding']
csv_out = out = options['out']
if type(out) == str:
csv_out = open(out, 'wb')
writer = csv.writer(csv_out, delimiter=';', quotechar='"', encoding=encoding)
writer.writerow(['slug', 'url', 'attivo', 'tema', 'natura', 'cup',
'programma', 'classificazione_qsn', 'fondo_comunitario',
'fin_totale_pubblico', 'fin_totale_pubblico_netto', 'pagamento',
'stato_progetto','stato_finanziamenti'])
locale.setlocale(locale.LC_ALL, 'it_IT.UTF-8')
with open(csvfile, 'rb') as cfile:
reader = csv.reader(cfile, delimiter=',', quotechar='"')
for r in reader:
slug = None
url = '-'
output_r = r
if not r:
continue
url = r[0].strip()
slug_search = re.search(
'^(http://){0,1}(www\.){0,1}opencoesione.gov.it/progetti/('
'.*?)/?$',
url, re.IGNORECASE
)
if slug_search:
slug = slug_search.group(3)
if slug and '/' not in slug:
output_r = [slug, r[0]]
try:
p = Progetto.fullobjects.get(slug=slug)
is_active = p.active_flag
tema = p.tema.tema_superiore.short_label
natura = p.classificazione_azione.classificazione_superiore\
.short_label
cup = p.cup
programma = ','.join([f.descrizione for f in p.fonti_fin])
class_qsn = p.classificazione_qsn.classificazione_superiore.classificazione_superiore.descrizione
fondo_com = p.get_fondo_comunitario_display()
fin_tot = locale.currency(p.fin_totale_pubblico).replace('Eu', u'€')
fin_tot_netto = locale.currency(p.fin_totale_pubblico_netto).replace('Eu', u'€')
pagamento = locale.currency(p.pagamento).replace('Eu', u'€')
stato_fin = p.get_stato_finanziario_display()
stato_prog = p.get_stato_progetto_display()
output_r.extend([is_active, tema, natura, cup, programma, class_qsn, fondo_com,
fin_tot, fin_tot_netto, pagamento,
stato_fin, stato_prog])
except ObjectDoesNotExist:
pass
self.logger.info(r[0])
writer.writerow(output_r)
diode_forw = Diode(modif_param("I0", diode_forw.I0),
modif_param("eta", diode_forw.eta))
resistance_circ = Resistances(
modif_param("Rsh", resistance_circ.Rsh),
modif_param("Rs", resistance_circ.Rs))
# Saving results:it creates a folder in a given path and write the parameters and simulated IV in a csv file
namefile = input("Enter the name of the file: ")
namefolder = "IV_Simulation"
path = input("Enter the path to save the result: ")
# namefile = "TestResults_" #This block can be used to speed up during testing
# namefolder = "IV_Simulation"
# path = data_path
os.chdir(path)
try:
os.mkdir(namefolder)
os.chdir(namefolder)
except:
os.chdir(namefolder)
with open(namefile + ".csv", "w") as file:
writer = csvkit.writer(file, delimiter=";")
writer.writerows([["I0 [A]", "eta", "Rs [Ohm]", "Rsh [Ohm]"],
[
diode_forw.I0, diode_forw.eta,
resistance_circ.Rs, resistance_circ.Rsh
]])
writer.writerows([["Voltage", "Current"], ["V", "A"]])
for volt in volt_fit:
writer.writerow([str(volt), str(curr_fit[volt_fit.index(volt)])])
file.close()
import csvkit, sys
from collections import defaultdict
writer = csvkit.writer(sys.stdout)
with open(sys.argv[1]) as csv_file:
for i, row in enumerate(csvkit.reader(csv_file)):
if i == 0:
col_count = len(row) - 1
freqs = [defaultdict(int) for col in range(col_count)]
continue
for col in range(col_count):
freqs[col][int(row[col + 1])] += 1
values = sum((freqs[col].keys() for col in range(col_count)), [])
for val in sorted(set(values)):
val_freqs = [freqs[col][val] for col in range(col_count)]
row = [val] + val_freqs
writer.writerow(row)
with open('../../csv_data/flows.csv', 'r') as f:
with open('../../csv_data/new_flows.csv', 'w') as nf:
flows = csvkit.DictReader(f)
newFlows = csvkit.DictWriter(nf, flows.fieldnames)
newFlows.writeheader()
for flow in flows:
if flow['source'] in swapSources:
flow['source'] = swapSources[flow['source']]
else:
missingSources.add(flow['source'])
newFlows.writerow(flow)
with open('../../csv_data/exchange_rates.csv', 'r') as f:
with open('../../csv_data/new_exchange_rates.csv', 'w') as nf:
rates = csvkit.DictReader(f)
newRates = csvkit.DictWriter(nf, rates.fieldnames)
newRates.writeheader()
for rate in rates:
if rate['source'] in swapSources:
rate['source'] = swapSources[rate['source']]
else:
missingSources.add(rate['source'])
newRates.writerow(rate)
with open('missing_sources.list', 'w') as ms:
csvkit.writer(ms).writerows([_] for _ in missingSources)
# modify schema (by hand) : done
# try to generate the new database
# test and update sources.csv API
# test and update source representation in client (metadata and data tables)
if endorseCount.text is None:
endorseCount.text = 0
print endorseCount.text
newRow.append(endorseCount.text)
else:
newRow.append("")
print 0
except:
print 0
# Save New Row
print newRow
f = open('csvOutput copy.csv', 'a')
try:
writer = csvkit.writer(f)
writer.writerow(newRow)
except:
print"could not write row"
finally:
f.close()
except:
print "messed up skills"
# 2 goes 1-40
for otherSkills in range(1, 41):
def run():
if not os.path.isdir(DIR):
os.mkdir(DIR)
csvf = open('{}/info.csv'.format(DIR), 'wb')
csvw = csvkit.writer(csvf)
csvw.writerow([
u'設計館帳號',
u'設計館名稱',
u'公司名稱 / 姓名',
u'統編 / 身分證',
u'地址',
u'電話',
u'email',
u'收款戶名',
u'收款銀行名稱',
u'收款帳號',
])
with db as cur:
cur.execute('''
select
sid,
name,
contact_tel,
contact_mobile,
identity,
identity_type,
payment_info,
receipt_setting,
finance_email
from shop
where
sid in {}
'''.format(in_operand(SIDS))),
rows = list(cur)
for (sid, name, contact_tel, contact_mobile, identity, identity_type,
payment_info, receipt_setting, finance_email) in rows:
payment_info = json.loads(payment_info) if payment_info else {}
receipt_setting = json.loads(
receipt_setting) if receipt_setting else {}
# 設計館名稱
name_d = json.loads(name)
# get 身分證號碼, 發票抬頭名稱, 地址
nationalid = identity
title = receipt_setting.get('title', '')
address = receipt_setting.get('address', '')
# get 銀行*
bank_name_n_code = ''
bank_account = ''
bank_account_name = ''
payment_method = payment_info.get('payment_method')
if payment_method == 'atm':
bank_code = payment_info['bank']
bank_name = Payment.TW_BANK_MAP.get(bank_code, '')
if bank_name:
bank_name_n_code = u'{} ({})'.format(bank_name, bank_code)
bank_account = payment_info['account']
bank_account_name = payment_info['name']
csvw.writerow([
sid,
name_d.get('zh_TW', name_d.get('en', '')), title, nationalid,
address, contact_tel or contact_mobile or '', finance_email,
bank_account_name, bank_name_n_code, bank_account
])
if not os.path.isfile('{}/{}_201701-201712.xlsx'.format(DIR, sid)):
export_bill(sid)
csvf.close()
#!/usr/bin/env python
# Remove newline chars from CSV "cells"
# Input is taken from stdin and output spit to stdout
import csvkit
import sys
reader = csvkit.reader(sys.stdin)
writer = csvkit.writer(sys.stdout)
for row in reader:
for i in range(0, len(row)):
if isinstance(row[i], str):
if "\n" in row[i]:
row[i] = row[i].replace("\n", '')
writer.writerow(row)
