creating a 3xX array in pandas Dataframe Python
0
#!/usr/bin/env python
from pandas import DataFrame, Series
from simple_salesforce import Salesforce
from config import *
qry_result = sf.query("SELECT Phone, Name, Account.Name FROM Contact")
logging.debug('SF QueryResult TotalSize {0}'.format(qry_result['totalSize']))
df = DataFrame(qry_result['records'])
is_done = qry_result['done'];
while not is_done:
try:
qry_result = sf.query_more(qry_result['nextRecordsUrl'], True)
df = df.append(DataFrame(qry_result['records']))
if qry_result['done']:
is_done = True;
logging.debug('SF completed')
except NameError as e:
logging.error('SOQL failed', e)
SystemExit(17)
df = df.drop('attributes', axis=1)
return df
def extract_numbers_and_canonicalize(df):
phone_numbers =
account_numbers =
name =
for row in df.itertuples():
print(row)
logging.info(row)
phone = extract(row, 'Phone' + ';')
if phone:
phone_numbers.append(phone)
account_numbers = extract(row, 'account_numbers' + ';')
if account_numbers:
account_numbers.append(account_numbers)
name = extract(row, 'name')
if name:
name.append(name)
header = [phone_numbers, account_numbers, name]
series = Series(data=header)
unique_series = series.unique()
return DataFrame(data=unique_series, columns=['numbers'';''names' ';' 'accountnames'])
def extract(tuple, column):
if not hasattr(tuple, column):
return None
value = getattr(tuple, column)
if not value:
return None
return canonicalize(value)
def query_contacts_and_write_csv():
contacts = query_sf_contacts()
numbers = extract_numbers_and_canonicalize(contacts)
DataFrame.to_csv(numbers, encoding='utf-8', path_or_buf=CSV_RESULT_FILE, index=False)
query_contacts_and_write_csv()
Hello Python People,
maybe someone can help me with my problem.
I would like to create the csv file with 3 arrays.
I assume that i have to change the unique_series
to something else.
Does this even work with the approach iam using (If I only take the phone numbers for example it works just fine).
Thanks in advance for the Tips.
python pandas dataframe
asked Nov 20 '18 at 16:01
prax0rprax0r
314
add a comment |
0
#!/usr/bin/env python
from pandas import DataFrame, Series
from simple_salesforce import Salesforce
from config import *
qry_result = sf.query("SELECT Phone, Name, Account.Name FROM Contact")
logging.debug('SF QueryResult TotalSize {0}'.format(qry_result['totalSize']))
df = DataFrame(qry_result['records'])
is_done = qry_result['done'];
while not is_done:
try:
qry_result = sf.query_more(qry_result['nextRecordsUrl'], True)
df = df.append(DataFrame(qry_result['records']))
if qry_result['done']:
is_done = True;
logging.debug('SF completed')
except NameError as e:
logging.error('SOQL failed', e)
SystemExit(17)
df = df.drop('attributes', axis=1)
return df
def extract_numbers_and_canonicalize(df):
phone_numbers =
account_numbers =
name =
for row in df.itertuples():
print(row)
logging.info(row)
phone = extract(row, 'Phone' + ';')
if phone:
phone_numbers.append(phone)
account_numbers = extract(row, 'account_numbers' + ';')
if account_numbers:
account_numbers.append(account_numbers)
name = extract(row, 'name')
if name:
name.append(name)
header = [phone_numbers, account_numbers, name]
series = Series(data=header)
unique_series = series.unique()
return DataFrame(data=unique_series, columns=['numbers'';''names' ';' 'accountnames'])
def extract(tuple, column):
if not hasattr(tuple, column):
return None
value = getattr(tuple, column)
if not value:
return None
return canonicalize(value)
def query_contacts_and_write_csv():
contacts = query_sf_contacts()
numbers = extract_numbers_and_canonicalize(contacts)
DataFrame.to_csv(numbers, encoding='utf-8', path_or_buf=CSV_RESULT_FILE, index=False)
query_contacts_and_write_csv()
Hello Python People,
maybe someone can help me with my problem.
I would like to create the csv file with 3 arrays.
I assume that i have to change the unique_series
to something else.
Does this even work with the approach iam using (If I only take the phone numbers for example it works just fine).
Thanks in advance for the Tips.
python pandas dataframe
asked Nov 20 '18 at 16:01
prax0rprax0r
314
1
If you could provide sample data, and a requested output it would be much easier to provide an answer for your question.
– johnnyb
Nov 20 '18 at 16:49
Hello, the Output looks like this.Phone=u'$PhoneNumber', Name=$FirstName $LastName', (u'Account_Name', $CompanyName'))The Output should be a ; seperated csv file. With Name; Phone; CompanyName
– prax0r
Nov 21 '18 at 8:08
add a comment |
0
0
0
#!/usr/bin/env python
from pandas import DataFrame, Series
from simple_salesforce import Salesforce
from config import *
qry_result = sf.query("SELECT Phone, Name, Account.Name FROM Contact")
logging.debug('SF QueryResult TotalSize {0}'.format(qry_result['totalSize']))
df = DataFrame(qry_result['records'])
is_done = qry_result['done'];
while not is_done:
try:
qry_result = sf.query_more(qry_result['nextRecordsUrl'], True)
df = df.append(DataFrame(qry_result['records']))
if qry_result['done']:
is_done = True;
logging.debug('SF completed')
except NameError as e:
logging.error('SOQL failed', e)
SystemExit(17)
df = df.drop('attributes', axis=1)
return df
def extract_numbers_and_canonicalize(df):
phone_numbers =
account_numbers =
name =
for row in df.itertuples():
print(row)
logging.info(row)
phone = extract(row, 'Phone' + ';')
if phone:
phone_numbers.append(phone)
account_numbers = extract(row, 'account_numbers' + ';')
if account_numbers:
account_numbers.append(account_numbers)
name = extract(row, 'name')
if name:
name.append(name)
header = [phone_numbers, account_numbers, name]
series = Series(data=header)
unique_series = series.unique()
return DataFrame(data=unique_series, columns=['numbers'';''names' ';' 'accountnames'])
def extract(tuple, column):
if not hasattr(tuple, column):
return None
value = getattr(tuple, column)
if not value:
return None
return canonicalize(value)
def query_contacts_and_write_csv():
contacts = query_sf_contacts()
numbers = extract_numbers_and_canonicalize(contacts)
DataFrame.to_csv(numbers, encoding='utf-8', path_or_buf=CSV_RESULT_FILE, index=False)
query_contacts_and_write_csv()
Hello Python People,
maybe someone can help me with my problem.
I would like to create the csv file with 3 arrays.
I assume that i have to change the unique_series
to something else.
Does this even work with the approach iam using (If I only take the phone numbers for example it works just fine).
Thanks in advance for the Tips.
python pandas dataframe
asked Nov 20 '18 at 16:01
prax0rprax0r
314
#!/usr/bin/env python
from pandas import DataFrame, Series
from simple_salesforce import Salesforce
from config import *
qry_result = sf.query("SELECT Phone, Name, Account.Name FROM Contact")
logging.debug('SF QueryResult TotalSize {0}'.format(qry_result['totalSize']))
df = DataFrame(qry_result['records'])
is_done = qry_result['done'];
while not is_done:
try:
qry_result = sf.query_more(qry_result['nextRecordsUrl'], True)
df = df.append(DataFrame(qry_result['records']))
if qry_result['done']:
is_done = True;
logging.debug('SF completed')
except NameError as e:
logging.error('SOQL failed', e)
SystemExit(17)
df = df.drop('attributes', axis=1)
return df
def extract_numbers_and_canonicalize(df):
phone_numbers =
account_numbers =
name =
for row in df.itertuples():
print(row)
logging.info(row)
phone = extract(row, 'Phone' + ';')
if phone:
phone_numbers.append(phone)
account_numbers = extract(row, 'account_numbers' + ';')
if account_numbers:
account_numbers.append(account_numbers)
name = extract(row, 'name')
if name:
name.append(name)
header = [phone_numbers, account_numbers, name]
series = Series(data=header)
unique_series = series.unique()
return DataFrame(data=unique_series, columns=['numbers'';''names' ';' 'accountnames'])
def extract(tuple, column):
if not hasattr(tuple, column):
return None
value = getattr(tuple, column)
if not value:
return None
return canonicalize(value)
def query_contacts_and_write_csv():
contacts = query_sf_contacts()
numbers = extract_numbers_and_canonicalize(contacts)
DataFrame.to_csv(numbers, encoding='utf-8', path_or_buf=CSV_RESULT_FILE, index=False)
query_contacts_and_write_csv()
Hello Python People,
maybe someone can help me with my problem.
I would like to create the csv file with 3 arrays.
I assume that i have to change the unique_series
to something else.
Does this even work with the approach iam using (If I only take the phone numbers for example it works just fine).
Thanks in advance for the Tips.
python pandas dataframe
python pandas dataframe
asked Nov 20 '18 at 16:01
prax0rprax0r
314
asked Nov 20 '18 at 16:01
prax0rprax0r
314
asked Nov 20 '18 at 16:01
prax0rprax0r
314
asked Nov 20 '18 at 16:01
prax0rprax0r
314
asked Nov 20 '18 at 16:01
prax0rprax0r
314
314
1
If you could provide sample data, and a requested output it would be much easier to provide an answer for your question.
– johnnyb
Nov 20 '18 at 16:49
Hello, the Output looks like this.Phone=u'$PhoneNumber', Name=$FirstName $LastName', (u'Account_Name', $CompanyName'))The Output should be a ; seperated csv file. With Name; Phone; CompanyName
– prax0r
Nov 21 '18 at 8:08
add a comment |
1
If you could provide sample data, and a requested output it would be much easier to provide an answer for your question.
– johnnyb
Nov 20 '18 at 16:49
Hello, the Output looks like this.Phone=u'$PhoneNumber', Name=$FirstName $LastName', (u'Account_Name', $CompanyName'))The Output should be a ; seperated csv file. With Name; Phone; CompanyName
– prax0r
Nov 21 '18 at 8:08
1
1
If you could provide sample data, and a requested output it would be much easier to provide an answer for your question.
– johnnyb
Nov 20 '18 at 16:49
If you could provide sample data, and a requested output it would be much easier to provide an answer for your question.
– johnnyb
Nov 20 '18 at 16:49
Hello, the Output looks like this.
Phone=u'$PhoneNumber', Name=$FirstName $LastName', (u'Account_Name', $CompanyName')) The Output should be a ; seperated csv file. With Name; Phone; CompanyName– prax0r
Nov 21 '18 at 8:08
Hello, the Output looks like this.
Phone=u'$PhoneNumber', Name=$FirstName $LastName', (u'Account_Name', $CompanyName')) The Output should be a ; seperated csv file. With Name; Phone; CompanyName– prax0r
Nov 21 '18 at 8:08
add a comment |
0
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1
If you could provide sample data, and a requested output it would be much easier to provide an answer for your question.
– johnnyb
Nov 20 '18 at 16:49
Hello, the Output looks like this.
Phone=u'$PhoneNumber', Name=$FirstName $LastName', (u'Account_Name', $CompanyName'))The Output should be a ; seperated csv file. With Name; Phone; CompanyName– prax0r
Nov 21 '18 at 8:08