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I need to add all elements in a list and print that out. Is it possible to make this
x_irp = []
for i in range(1,5):
for r in range(1,7):
for p in range(1,4):
a = "x_{}_{}_{}".format(i,r,p)
x_irp.append(a)
print(x_irp)
['x_1_1_1', 'x_1_1_2', 'x_1_1_3', 'x_1_2_1', 'x_1_2_2', 'x_1_2_3', 'x_1_3_1', 'x_1_3_2', 'x_1_3_3', 'x_1_4_1', 'x_1_4_2', 'x_1_4_3', 'x_1_5_1', 'x_1_5_2', 'x_1_5_3', 'x_1_6_1', 'x_1_6_2', 'x_1_6_3', 'x_2_1_1', 'x_2_1_2', 'x_2_1_3', 'x_2_2_1', 'x_2_2_2', 'x_2_2_3', 'x_2_3_1', 'x_2_3_2', 'x_2_3_3', 'x_2_4_1', 'x_2_4_2', 'x_2_4_3', 'x_2_5_1', 'x_2_5_2', 'x_2_5_3', 'x_2_6_1', 'x_2_6_2', 'x_2_6_3', 'x_3_1_1', 'x_3_1_2', 'x_3_1_3', 'x_3_2_1', 'x_3_2_2', 'x_3_2_3', 'x_3_3_1', 'x_3_3_2', 'x_3_3_3', 'x_3_4_1', 'x_3_4_2', 'x_3_4_3', 'x_3_5_1', 'x_3_5_2', 'x_3_5_3', 'x_3_6_1', 'x_3_6_2', 'x_3_6_3', 'x_4_1_1', 'x_4_1_2', 'x_4_1_3', 'x_4_2_1', 'x_4_2_2', 'x_4_2_3', 'x_4_3_1', 'x_4_3_2', 'x_4_3_3', 'x_4_4_1', 'x_4_4_2', 'x_4_4_3', 'x_4_5_1', 'x_4_5_2', 'x_4_5_3', 'x_4_6_1', 'x_4_6_2', 'x_4_6_3']
I must print this list in a form as x_1_1_1 + x_1_1_2 + x_1_1_3....
It has to continue until the last element of list.
How about using
print(" + ".join(x_irp))
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I am using nsepython library for data extraction. I was extracting lot size for particular symbol from function nse_get_fno_lot_sizes of nsepython library.
I want the output of function nse_get_fno_lot_sizes in dataframe format instead of current format.
Complete Code - https://github.com/aeron7/nsepython/blob/master/nsepython/rahu.py
nse_get_fno_lot_sizes function-
def nse_get_fno_lot_sizes(symbol="all",mode="list"):
url="https://archives.nseindia.com/content/fo/fo_mktlots.csv"
if(mode=="list"):
s=requests.get(url).text
res_dict = {}
for line in s.split('\n'):
if line != '' and re.search(',', line) and (line.casefold().find('symbol') == -1):
(code, name) = [x.strip() for x in line.split(',')[1:3]]
res_dict[code] = int(name)
if(symbol=="all"):
return res_dict
if(symbol!=""):
return res_dict[symbol.upper()]
if(mode=="pandas"):
payload = pd.read_csv(url)
if(symbol=="all"):
return payload
else:
payload = payload[(payload.iloc[:, 1] == symbol.upper())]
return payload
My Code-
print(nse_get_fno_lot_sizes("adaniports","pandas"))
print(type(nse_get_fno_lot_sizes))
Output-
UNDERLYING SYMBOL JUL-22 AUG-22 SEP-22 DEC-22 MAR-23 JUN-23 DEC-23 JUN-24 DEC-24 JUN-25 DEC-25 JUN-26 DEC-26 JUN-27
8 ADANI PORT & SEZ LTD ADANIPORTS 1250 1250 1250
<class 'function'>
I want to convert the output getting from the nse_get_fno_lot_sizes function as dataframe.
Documentation- https://aeron7.github.io/nsepython/documentation/nsetools.html#top-losers-gainers
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I have written the following program in Python:
s = []
for e in random_key:
s = str(e)
print(s)
where the list random_key is
random_key = ['0011111011100101', '0000010111111011', '0011100110110100',
'1000010101010010', '0011001011001111', '1101101101110011',
'1100001111111011', '0000100000110100', '0101111010100101',
'1001100101100001']
The output of the program is
1111011010110011
1011000110011100
0011011001100010
0000011100100001
1111111010000100
0110110101100011
1011100011000101
1011101011100010
1101101101001010
1000011110110000
which is not correct. How can I fix the code?
If I am able to read your thoughts (not sure about that ..). Would you like them to 10 based numbers?
random_key = ['0011111011100101', '0000010111111011', '0011100110110100',
'1000010101010010', '0011001011001111', '1101101101110011',
'1100001111111011', '0000100000110100', '0101111010100101',
'1001100101100001']
numbers = [int(x, 2) for x in random_key]
print(numbers)
output
[16101, 1531, 14772, 34130, 13007, 56179, 50171, 2100, 24229, 39265]
Do you mean this?
s = list()
for e in random_key:
s.append(str(e))
print(s)
Returns:
['0011111011100101', '0000010111111011', '0011100110110100', '1000010101010010', '0011001011001111', '1101101101110011', '1100001111111011', '0000100000110100', '0101111010100101', '1001100101100001']
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I have a file with this pattern :
[account.invoice.set_num]
job_size = 0
trans_size = 100
[commission.invoice_second.create_full]
j_size = 0
[commission.invoice_principal.finalize]
j_size = 12
in_directory = /to/the/directory
I want to transform this pattern to a text like :
ACCOUNT_INVOICE_SET_NUM_JOB_SIZE = 0
ACCOUNT_INVOICE_SET_NUM_TRANS_SIZE = 100
COMMISSION_INVOICE_SECOND_CREATE_FULL_J_SIZE=0
COMMISSION_INVOICE_PRINCIPALE_FINALIZE_J_SIZE=12
COMMISSION_INVOICE_PRINCIPALE_FINALIZE_IN_DIRECTORY=/to/the/directory
I try to do that in Bash unix or in Python.
I don't konw what is the best/easiest way to do that.
It's quite feasible with config.ConfigParser features:
from configparser import ConfigParser
config = ConfigParser()
config.read('yourfile')
config_lines = ''
for section in config.sections():
s_key = section.replace('.', '_') # transformed section key
for k, v in config.items(section):
config_lines += f'{s_key}_{k}'.upper() + f'={v}\n'
print(config_lines)
The output:
ACCOUNT_INVOICE_SET_NUM_JOB_SIZE=0
ACCOUNT_INVOICE_SET_NUM_TRANS_SIZE=100
COMMISSION_INVOICE_SECOND_CREATE_FULL_J_SIZE=0
COMMISSION_INVOICE_PRINCIPAL_FINALIZE_J_SIZE=12
COMMISSION_INVOICE_PRINCIPAL_FINALIZE_IN_DIRECTORY=/to/the/directory
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This is a snippet of the output:
{...,"resultMap":
{..."SEARCH_RESULTS":
[{..."resultList":[
{"userClientId":"1"","preferenceValues":["48","51","94"],"MyDate":"7/26/2017 8:30:00 AM"},
{"userClientId":"2","preferenceValues":["42","11","84"],"MyDate":"7/26/2017 9:40:00 AM"},
{"userClientId":"3","preferenceValues":["4","16","24"],"MyDate":"7/26/2017 4:20:00 PM"},
{"userClientId":"4","preferenceValues":["7","2","94"],"MyDate":"7/27/2017 8:00:00 AM"},
{"userClientId":"1","preferenceValues":["48","22","94"],"MyDate":"7/27/2017 1:50:00 PM"},
{"userClientId":"2","preferenceValues":["42","11"],"MyDate":"7/27/2017 2:00:00 PM"},
{"userClientId":"3","preferenceValues":["4","24"],"MyDate":"7/27/2017 6:15:00 PM"},
{"userClientId":"4","preferenceValues":"7","MyDate":"7/27/2017 9:30:00 PM"}]
}]
}
}
I am looking to get a variable pageIdCount that is in dictionary format, where the key is page_id and the values are a counts of occurrences of page_id, by user_id. So for userId 1 it should look like:
{"userClientId":"1","preferenceValues":{48:2, 51:1, 94:2, 22:1}}
Note that when there is only 1 variable inside preferenceValues- there are no brackets. There is also a field "preferenceValue" where there are no brackets no matter what and it is identical to "preferenceValues" otherwise.
Is that possible?
In Python 2.7, I specify user, password and url and then I have the following:
req = requests.post(url = url, auth=(user, password))
ans = req.json()
print ["resultMap"]["SEARCH_RESULTS"][0]["resultList"]
Any help is greatly appreciated.
your_data # this is your data
final_data = {}
for line in yourdata:
uid = line["userId"]
pids = line["PageId"]
if uid not in final_data :
final_data[uid] = {}
for pid in pids :
pid = int(pid)
if pid not in final_data[uid]:
final_data[uid][pid]=0
final_data[uid][pid] += 1
res = [{"userId":uid,"PageIDCount":pids} for uid,pids in final_data.items()]
I suppose you are beginning, if so, the most tricky part of this code will probably be the last line, it uses list comprehension. here is a good lesson about it.
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Tell me how to replace python data
a.txt
abcd.com 0.0
* 6.6999306E7
asdf.com 1.50744025E8
asfd.df.com 1.93139033E8
fdsa.com 9.07938122E8
bank.com 2.638989462E9
fire.com 4.151822166E9
ms.com 7.026079907E9
How can I read the a.txt file and make it in the following format?
Output result :
['abcd.com', 0],
['*', 66999306],
['asdf.com', 150744025],
['asfd.df.com', 193139033],
['fdsa.com', 907938122],
['bank.com', 2638989462],
['fire.com', 4151822166],
['ms.com', 7026079907]
file = open('a.txt', 'r')
l = []
for line in file:
l.append( line.split())
Then if you want the second part to be integer, you can use list comprehension:
l = [ [i[0], int(float(i[1]))] for i in l]
output
[['abcd.com', 0],
['*', 66999306],
['asdf.com', 150744025],
['asfd.df.com', 193139033],
['fdsa.com', 907938122],
['bank.com', 2638989462],
['fire.com', 4151822166],
['ms.com', 7026079907] ]