banks | Currency exchange rates of Banks in Myanmar | Predictive Analytics library
kandi X-RAY | banks Summary
kandi X-RAY | banks Summary
Just scrap-and-show API for currency exchange rates of Banks in Myanmar.
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Top functions reviewed by kandi - BETA
- StartAPIServer starts the API server .
- RunScraper runs scraper .
- skipKBZ scrapes the KBz website
- skipAGD scrapes agd
- generateID generates a new unique ID .
- process creates a new Currency struct
- init connects to r .
- Init initializes scraper database
- resolveCursorToValue resolves the cursor to a row .
- sippAYA scrapes the AIA URL
banks Key Features
banks Examples and Code Snippets
Community Discussions
Trending Discussions on banks
QUESTION
here is sql code of file that i want to convert into postgresql database
...ANSWER
Answered 2021-Jun-12 at 21:32ERROR: character with byte sequence 0x90 in encoding "WIN1252" has no equivalent in encoding "UTF8"
QUESTION
i am trying to create list and detail api view. I have database with over 100K object
model.py
...ANSWER
Answered 2021-Jun-12 at 20:55Remove many=True
in serializer. ForeignKey
links to a single Banks
instance, therefore it is not many.
QUESTION
I wrote this code and used
...ANSWER
Answered 2021-Jun-08 at 03:01The prefix substring in the column names can be removed with sub
by matching the 'CountyName_' as pattern and replace it with blank (""
) on the names
of the 'New_Data'` and assign it back
QUESTION
I'm trying to write to a file in nodejs and I've run into an issue that I haven't found any solutions to online.
...ANSWER
Answered 2021-Jun-02 at 20:13It looks like economy.people
is an array, not an object. Setting the property '517854168229216256'
to 0 does not actually add that item to the array, so JSON.stringify
ignores it.
However, arrays in Javascript are a type of object, and you can set any property on an object. console.log
will print out these properties, which is why you're seeing the property when logging, but not when stringifying. Changing people to an object instead of an array should give you the expected result.
QUESTION
This question follows on from a previous one I asked yesterday here from which I tried to follow the advice given by @jonrsharpe
I want to follow the bank accounts of a user that I initiate with the following file
config.yaml
...ANSWER
Answered 2021-Jun-01 at 20:00You haven't stated which IDE you're using, so I'll just provide some general advice.
Python is dynamically typed, which means a function can return whatever it wants and doesn't have to declare it in advance. Thus, in general, your IDE cannot tell what a function returns without running the function itself, and doing so would mean that computation may or may not terminate.
That being said, you can provide type hints to your Python which static analysis tools can use to determine return values. That might look something like
QUESTION
after running command python manage.py inspectdb, i am having following error
TypeError: 'class Meta' got invalid attribute(s): ifsc,bank,branch,address,city,district,state
my model is as following
...ANSWER
Answered 2021-May-29 at 13:55It looks like you did the indentation the wrong way. Fields are specified at the class level, so:
QUESTION
My table is currently looking like this:
...ANSWER
Answered 2021-May-27 at 10:17Things should be fine if the dates are continuous
Then make them continuous. Left join your real data (grouped up so it is one row per day) onto your calendar table (make one, or use a recursive cte to generate you a list of 360 dates from X hence) and your query will work out
QUESTION
I have a panel data set of 34 banks from 2007 to 2020. I need to calculate the yearly log return from the daily adjusted closing stock prices of these banks. The data structure is as follows:
The date after importing to R is in POSIXct format while prices are in number format. There are in total 121323 observations.
Can anyone help me with the codes to calculate annual returns from daily prices? One of the problems is accounting for the panel data structure, the return calculation for Bank A has to end on the last date and the process has to repeat for Bank B and end on the last date so on. In the above data structure, the return calculation has to end on 07-01-2007 for Bank A. I have tried using quantmod but was unsuccessful. Any help is much appreciated.
Thanks
...ANSWER
Answered 2021-May-24 at 18:42Here is a solution that works if the data is in the posted format.
QUESTION
I am using ggtext::element_textbook_simple
to include a bit of filler text in a plot as it has great functionality around word wrapping for long strings.
When I run the code directly in markdown, I get a nice plot with even spacing between all words:
...ANSWER
Answered 2021-May-21 at 14:45It's probably the graphics device. I can't reproduce the issue on my end. Try the agg device.
QUESTION
banks = {
"National Bank of Canada" : "327",
"Toronto-Dominion Bank" : "302",
"Royal Bank of Canada" : "173",
"Wells Fargo" : "273",
"Goldman Sachs" : "87",
"Morgan Stanley" : "72",
"Canadian Imperial Bank of Commerce" : "83",
"TD Bank" : "108",
"Bank of Montreal" : "67",
"Capital One" : "47",
"FNB Corporation" : "4",
"Laurentian Bank of Canada" : "3",
"Ally Financial" : "12",
"Montreal Trust Company" : "145",
"Canadian Western Bank" : ".97"
}
for value in banks.values():
count += 1
total_mkt_cap += float(value)
total =+ count
if float(value) > float(largest):
largest = value
...ANSWER
Answered 2021-May-19 at 04:35Considering that largest
contains the largest value, you can find the key associated with it by iterating over the dictionary (key, value)
:
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