huf | huf is a Esoteric programming language similar to brainfuck | Interpreter library

by chuck-16 Python Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | huf Summary

huf is a Python library typically used in Utilities, Interpreter applications. huf has no bugs, it has no vulnerabilities and it has low support. However huf build file is not available. You can download it from GitHub.

huf is a Esoteric programming language similar to brainfuck. Try it if you dare!. Check out docs.txt for Documentation.

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Security

License

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Support

huf has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

huf has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of huf is current.

Quality

huf has no bugs reported.

Security

huf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

huf does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

huf releases are not available. You will need to build from source code and install.

huf has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed huf and discovered the below as its top functions. This is intended to give you an instant insight into huf implemented functionality, and help decide if they suit your requirements.

Interpret code
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Get all kandi verified functions for this library.

huf Key Features

No Key Features are available at this moment for huf.

huf Examples and Code Snippets

Find the node corresponding to the given node .

python

Lines of Code : 33

License : No License

Copy

def find(self, node: int) -> Optional[int]:
        """Find canonical element of the set where `node` belongs,
        if `node` not in Union-Find, will return None.

        Args:
            node (int): node to find

        Returns:

Check if two nodes are connected .

python

Lines of Code : 31

License : No License

Copy

def connected(self, p: int, q: int) -> bool:
        """To check if element `p` and `q` is connected.

        Args:
            p (int): one element
            q (int): the other element

        Returns:
            bool: True if connected else

Adds the intersection between two nodes .

python

Lines of Code : 29

License : No License

Copy

def union(self, p: int, q: int) -> None:
        """Connect the set containing `p` to the set
        containing `q`.

        Args:
            p (int): one element
            q (int): the other element

        >>> huf = HeightedUnionF

Community Discussions

Trending Discussions on huf

Scraping weird table structure using beautiful soup

Why is django-money running incorrectly in my view?

Python: How to flash a single msg per input without activating all flash msg when only one input is wrong

Write way to calculate weighted average with pandas Dataframe with mean or directly multiply

Pandas How to replace values based on Conditions for Several Values

Scrape exchange rates from local bank web

null return in Listview.Builder

How do I convert currencies to dollars in a dataframe

How to convert JSON response to hash, and extract specific key and value

I am trying to index a Dictionary but I don't know how. I am trying to access the data in "rates" but can't seem to get in there

QUESTION

Scraping weird table structure using beautiful soup

Asked 2021-May-12 at 15:46

I am trying to scrape a couple of tables from this website which are hidden under an expand button. However it looks like the table structure is really weird and I'm having trouble.

my code so far is

...

ANSWER

Answered 2021-May-12 at 15:31

Make your life easier and just dump the HTML to pandas. All the tables are there and you can access them either with a for loop or via indexing.

Here's how:

Source https://stackoverflow.com/questions/67505328

QUESTION

Why is django-money running incorrectly in my view?

Asked 2021-May-11 at 08:17

I am using django-money to make conversions on my backend of the project but it is converting wrong. For example, I want to convert TRY to USD: I enter 1000000 TRY it returns 480629.66 USD, but it should be: 120055.20 USD. And when I enter 10000 Euro it returns 13677.61 USD but it should return 12139,25 USD.

How can I solve it?

views.py

...

ANSWER

Answered 2021-May-11 at 08:17

You are using 2017/01/01 exchange rates. Read the api link carefully. You should update your exchange rates.

Source https://stackoverflow.com/questions/67470542

QUESTION

Python: How to flash a single msg per input without activating all flash msg when only one input is wrong

Asked 2021-May-01 at 17:45

This is what I get when I type the not found code: "ZZZ Not a valid code USD Not a valid code {value} Not a valid amount" By just adding one wrong input I'm getting on all the others a flash msg as wrong, and I'm also not getting the number. I have try to use if elif else and result is even worse.

I just added 'USD' code to the countries list and I got some progress, where I'm running in some issues is with amt_to_convert.

Input one 'convert_from' is using a value out of countries list.

Input two 'amt_to_convert' use the amout to be convert, wish is a number.

Input three 'convert_to' is using a value out of countries list.

app.py

...

ANSWER

Answered 2021-May-01 at 17:43

According to your error, it is reporting ZZZ and USD as invalid countries. This leads to the suspicion you are somehow passing USD as a country (either convert_from or convert_to). You should actually check you are entering the right value in one of those fields.

Also, I would rename the field value since value has a specific meaning in HTML and Forms (maybe call it amt_to_convert). Who knows, it might be interfering with your code

Also, you will definitely get an error for the amount because you are checking that it is a float value but your form will pass it as a string to Flask and you didn't convert the value immediately to float (you only convert the value while it is being passed to your convert function; you are not converting your stored variable).

Change your code to value = float(request.form.get('value'))

Explanation: You raise an error when value is not float, so you should convert the value from your form to float

Source https://stackoverflow.com/questions/67347985

QUESTION

Write way to calculate weighted average with pandas Dataframe with mean or directly multiply

Asked 2021-Apr-26 at 16:55

I have the following pandas Dataframe:

...

ANSWER

Answered 2021-Apr-26 at 16:55

Prepare data:

Source https://stackoverflow.com/questions/67268752

QUESTION

Pandas How to replace values based on Conditions for Several Values

Asked 2021-Apr-26 at 15:45

I have a Dataframe with several column and below is first 3 columns in that dataframe:

...

ANSWER

Answered 2021-Apr-26 at 15:37

Create a dict for mapping -

Source https://stackoverflow.com/questions/67269564

QUESTION

Scrape exchange rates from local bank web

Asked 2021-Apr-07 at 16:17

I need scrape table of historical exchange rates from 01.01.2016 from my local bank web site. I need rates for USD, PLN, HUF, EUR, CZK in pandas dataframe (table) with date.

My code:

...

ANSWER

Answered 2021-Apr-07 at 16:17

The data is loaded from external URL. You can use pd.read_json() to load it into the dataframe:

Source https://stackoverflow.com/questions/66989900

QUESTION

null return in Listview.Builder

Asked 2021-Mar-31 at 05:27

i have this function which give me a json

...

ANSWER

Answered 2021-Mar-31 at 05:27

Write it like this,

Text(snapshot.data["USD"].toString()), because your currency is an integer, and it should work.

As mentioned in the comments also, you need to return data in your function.

Source https://stackoverflow.com/questions/66881766

QUESTION

How do I convert currencies to dollars in a dataframe

Asked 2021-Mar-19 at 20:52

array(['DEM 6000000', '$ 1500000', '$ 60000', '$ 1499000', '$ 3977000',
       '$ 1900000', '$ 2777000', '$ 2280000', '$ 2600000', '$ 839727',
       '$ 950000', '$ 48000000', '$ 2100000', '$ 3000000', '$ 1400000',
       '$ 2900000', '$ 250000', '$ 2723903', '$ 2540800', '$ 1650000',
       '$ 30000', '$ 4000000', '$ 2000000', '$ 175000', '$ 1000000',
       'JPY 125000000', '$ 5019770', 'FRF 17500000', '$ 5400000',
       '$ 829000', '$ 2479000', '$ 15000000', '$ 6000000', '$ 180000',
       '$ 806947', '$ 12000000', '$ 5000000', '$ 160000', '$ 1100000',
       '$ 2200000', '$ 44000000', '$ 1800000', '$ 9400000', '$ 120000',
       '$ 560000', '$ 17000000', '$ 200000', '$ 800000', '$ 11000000',
       '$ 3800000', '$ 600000', '$ 8200000', '$ 9000000', '$ 1200000',
       '$ 7500000', '$ 1600000', '$ 9500000', '$ 5500000', '$ 14100000',
       '$ 114000', '$ 5800000', '$ 941000', '$ 360000', '$ 25000000',
       '$ 3600000', '$ 7000000', '$ 20000000', '$ 2500000', '$ 7700000',
       '$ 6244087', '$ 10000000', '$ 750000', '$ 3500000', '$ 777000',
       '$ 7200000', '$ 1300000', 'AUD 800000', '$ 725000', '$ 1585000',
       '$ 1700000', 'RUR 1000000', '$ 500000', '$ 1250000', '$ 810000',
       '$ 13000000', '$ 6500000', 'GBP 229575', 'GBP 1500000', '$ 300000',
       '$ 14000000', '$ 2800000', '$ 4340000', 'AUD 440000', '$ 8500000',
       'GBP 575000', '$ 24000000', '$ 3700000', '$ 960000', '$ 4400000',
       '$ 3200000', '$ 4015000', '$ 7840000', 'AUD 810000', '$ 4300000',
       '$ 6800000', '$ 7920000', '$ 325000', '$ 2700000', '$ 18000000',
       '$ 55000000', '$ 35000000', '$ 4700000', '$ 31500000', '$ 5450000',
       '$ 2300000', '$ 12164000', '$ 8000000', 'GBP 10000000',
       'CAD 1600000', '$ 16000000', '$ 34000000', 'JPY 5000000000',
       '$ 4800000', '$ 4500000', '$ 27000000', '$ 550000', 'CAD 1500000',
       'CAD 4100000', '$ 19000000', '$ 5100000', '$ 54000000',
       'DEM 32000000', '$ 400000', '$ 28000000', 'AUD 2600000',
       '$ 12500000', 'CAD 6500000', '$ 9300000', 'CAD 2300000',
       '$ 22000000', '$ 32000000', '$ 50000000', '$ 11300000',
       '$ 10500000', '$ 350000', '$ 13200000', '$ 26000000',
       'CAD 3500000', '$ 10700000', '$ 11200000', '$ 21000000',
       '$ 4520000', '$ 5600000', '$ 9700000', '$ 3300000', '$ 20500000',
       '$ 47000000', '$ 36000000', '$ 27500000', '$ 32500000', '$ 700000',
       '$ 6200000', '$ 39000000', '$ 14500000', '$ 5952000', '$ 58000000',
       '$ 40000000', '$ 4600000', '$ 30000000', '$ 14400000',
       '$ 15100000', '$ 2550000', 'GBP 3000000', 'GBP 1162000',
       '$ 1065000', '$ 90000', '$ 6400000', '$ 17500000', '$ 24500000',
       '$ 31000000', '$ 6900000', '$ 7600000', '$ 11500000', '$ 900000',
       '$ 17900000', '$ 2400000', 'FRF 17000000', '$ 8800000',
       '$ 18500000', '$ 8700000', 'GBP 450000', '$ 13800000',
       'CAD 1800000', '$ 37000000', '$ 3401376', 'GBP 650000',
       'ITL 30000000000', '$ 8300000', '$ 29000000', 'CAD 2500000',
       '$ 100000', '$ 23000000', 'GBP 23000000', 'GBP 1577000',
       '$ 22700000', '$ 3520000', 'DEM 800000', 'FRF 80000000',
       'GBP 1800000', '$ 63000000', '$ 70000000', '$ 46630000',
       '$ 22500000', '$ 10400000', '$ 16400000', 'JPY 800000000',
       '$ 27800000', '$ 33000000', '$ 38000000', '$ 5200000',
       '$ 60000000', 'CAD 22000000', '$ 111000', '$ 5300000', '$ 230000',
       '$ 4200000', 'FRF 50000000', '$ 42000000', '$ 13500000',
       '$ 65000000', 'FRF 24000000', '$ 6788000', 'DKK 28000000',
       '$ 17010000', '$ 23000', '$ 102000000', '$ 16500000', '$ 49000000',
       '$ 80000000', 'BEF 1000000', 'GBP 2300000', '$ 41000000',
       '$ 11700000', '$ 22769', '$ 7000', '$ 45000000', 'AUD 3000000',
       '$ 43000000', '$ 57000000', '$ 14600000', '$ 85000000',
       '$ 62000000', '$ 27000', 'HKD 40000000', 'CAD 2000000',
       '$ 46000000', 'FRF 115000000', '$ 65897768', '$ 75000000',
       '$ 7400000', '$ 115000000', '$ 52000000', '$ 100000000',
       '$ 72000000', '$ 53000000', '$ 98000000', '$ 90000000',
       '$ 30250000', 'JPY 600000000', '$ 150000', '$ 29000001',
       '$ 175000000', '$ 4100000', '$ 25530000', '$ 21500000',
       'DKK 6000000', '$ 92000000', '$ 125000000', '$ 116000000',
       '$ 71500000', 'FRF 82000000', '$ 93000000', '$ 25000', '$ 740000',
       '$ 73000000', '$ 31190000', 'JPY 2400000000', 'AUD 16000000',
       '$ 68000000', '$ 160000000', '$ 105000000', 'CAD 5000000',
       '$ 200000000', '$ 110000000', 'GBP 3500000', '$ 140000000',
       '$ 51000000', '$ 120000000', '$ 130000000', 'GBP 960000',
       '$ 95000000', '$ 11350000', '$ 170000000', '$ 66000000',
       '$ 113000000', 'CAD 365000', '$ 82000000', 'DEM 15000000',
       '$ 127500000', 'DEM 3500000', '$ 76000000', '$ 94000000',
       '$ 34200000', '$ 135000000', 'GBP 2000000', '$ 84000000',
       '$ 139000000', 'SEK 9000000', '$ 6000', '$ 64000000', '$ 29750000',
       '$ 83000000', '$ 79000000', '$ 312000', 'EUR 7000000', '$ 40000',
       '$ 133000000', 'GBP 1900000', '$ 12800000', 'INR 1091250',
       '$ 123000000', '$ 103000000', '$ 137000000', 'EUR 2850000',
       'ESP 400000000', '$ 225000', 'DEM 8400000', 'GBP 2200000',
       'FRF 65000000', '$ 41300000', 'ESP 125000000', 'FRF 100000000',
       '$ 3400000', '$ 5250000', 'SEK 17000000', 'GBP 1365000',
       '$ 7300000', 'GBP 6000000', '$ 63600000', '$ 8600000',
       '$ 87000000', 'CAD 20000000', 'CAD 1000000', 'AUD 5000000',
       '$ 21150000', '$ 150000000', 'FRF 39000000', 'FRF 53000000',
       'FRF 25000000', 'FRF 95130000', '$ 17700000', '$ 142000000',
       '$ 15600000', '$ 107000000', 'FRF 10000000', '$ 7100000',
       'ATS 70000000', '$ 10000', 'GBP 1600000', 'EUR 40000000',
       '$ 42000', 'FRF 48000000', 'INR 7000000', 'FRF 29000000',
       '$ 59000000', 'FRF 30000000', 'EUR 4800000', '$ 15500000',
       '$ 10600000', 'DKK 86000000', 'FRF 49000000', 'NOK 15500000',
       '$ 56000000', 'EUR 5328737', 'FRF 103000000', '$ 19800000',
       '$ 11800000', 'EUR 15300000', 'FRF 18000000', 'EUR 2000000',
       'EUR 8000000', 'EUR 5300000', 'EUR 7032000', '$ 80000',
       'ESP 1200000', 'CAD 1960000', 'GBP 3500159', '$ 78000000',
       'THB 400000000', 'EUR 19000000', 'GBP 2500000', 'BRL 12000000',
       'FRF 85000000', 'INR 280000000', '$ 125000', '$ 12600000',
       '$ 825000', '$ 24000', 'GBP 1950000', '$ 5740000', 'EUR 900000',
       'EUR 15920000', 'EUR 2717930', 'GBP 75000', 'FIM 8000000',
       '$ 109000000', 'EUR 3300000', '$ 81000000', 'BRL 3300000',
       '$ 250050', 'EUR 5000000', 'GBP 7000000', '$ 35200000',
       'SGD 4500000', '$ 128000000', 'EUR 5000', 'CAD 3000000',
       'EUR 2200000', 'CAD 6000000', 'SEK 22000000', '$ 165000000',
       'EUR 59660000', 'AUD 1000', '$ 6428966', 'AUD 2000000',
       'EUR 2400000', 'AUD 1000000', 'DKK 50000000', '$ 14200000',
       '$ 9600000', '$ 56600000', '$ 86000000', '$ 850000', '$ 155000000',
       'JPY 2000000000', '$ 450000', '$ 270000000', '$ 37665000',
       'EUR 1100000', '$ 88000000', '$ 9750000', 'EUR 5250784',
       '$ 19250000', '$ 207000000', 'EUR 11700000', '$ 180000000',
       'GBP 4000000', '$ 20000', 'HUF 2500000000', '$ 185000000',
       '$ 50000', '$ 46000', 'EUR 10000000', '$ 215000', 'EUR 5500000',
       '$ 780000', 'BRL 8000000', 'HUF 100000000', 'EUR 2500000',
       '$ 33100000', '$ 210000000', 'MXN 25000000', 'GBP 1000000',
       'GBP 1700000', 'INR 100000000', 'AUD 15000000', '$ 225000000',
       'CNY 100000000', 'CNY 10000000', 'EUR 1601792', 'GBP 4500',
       '$ 82500000', '$ 475000', 'EUR 1000000', 'EUR 4750000',
       '$ 260000000', '$ 70000', '$ 185000', '$ 126000000', 'EUR 750000',
       '$ 650000', 'CZK 36000000', '$ 250000000', 'CAD 500000',
       'BRL 5200000', '$ 132000000', 'EUR 1790000', '$ 163000000',
       'HUF 500000000', '$ 19300000', 'EUR 21166000', '$ 258000000',
       'EUR 12000000', '$ 72500000', '$ 3750000', 'HKD 60000000',
       'GBP 695393', 'CHF 500000', 'EUR 2700000', 'AUD 11400000',
       'EUR 4500000', '$ 7900000', '$ 16800000', 'GBP 2800000',
       '$ 149000000', 'DKK 10000000', 'GBP 8000000', 'EUR 2000',
       'CNY 553632000', '$ 69000000', 'THB 200000000', 'EUR 600000',
       '$ 10200000', 'JPY 5000000', '$ 15000', 'GBP 9800000',
       'EUR 2150000', '$ 1234567', 'EUR 7450000', 'EUR 6000000',
       'EUR 14500000', '$ 169000', '$ 61000000', '$ 19400000',
       'EUR 3000000', 'GBP 26000000', 'GBP 14000', '$ 300000000',
       'EUR 25320000', 'INR 400000000', 'KRW 4200000000', '$ 35000',
       '$ 60795000', '$ 5000', 'EUR 1380000', 'CAD 750000', 'GBP 300000',
       '$ 67000000', 'SGD 200000', 'EUR 3400000', 'GBP 5000000',
       'EUR 14000000', 'AUD 2200000', 'GBP 3800000', 'KRW 12215500000',
       'EUR 1500000', 'CAD 11000000', 'EUR 15000000', 'GBP 1500',
       'EUR 1400000', '$ 3900000', 'GBP 500000', 'CAD 4000000',
       'EUR 12800000', 'INR 150000000', '$ 237000000', 'EUR 20000000',
       'GBP 25000000', 'CAD 12000000', 'THB 300000000', 'EUR 8400000',
       'EUR 4000000', 'GBP 13000000', 'HKD 35000000', 'EUR 16000000',
       'EUR 24000000', '$ 14700000', 'EUR 200000', 'EUR 4200000',
       '$ 190000000', '$ 37500000', 'EUR 1300000', 'NOK 22000000',
       'EUR 980000', 'EUR 1450000', '$ 220000000', 'JPY 300000000',
       'BRL 3000000', '$ 145000000', 'GBP 13500000', 'EUR 300000',
       'DKK 45000000', 'GBP 150000000', '$ 230000000', '$ 55000',
       'EUR 4773906', '$ 15700000', 'GBP 900000', '$ 117000000',
       'EUR 5700000', '$ 44500000', '$ 138000000', 'EUR 590000',
       'EUR 800000', 'EUR 6400000', '$ 9800000', 'GBP 150000',
       '$ 26350000', '$ 10800000', '$ 13000', 'AUD 6500000', '$ 23600000',
       '$ 25100000', 'INR 550000000', '$ 430000', 'INR 600000000',
       '$ 215000000', 'EUR 3600000', 'GBP 612650', 'AUD 3500000',
       'EUR 9200000', '$ 49900000', '$ 17000', '$ 19100000', 'EUR 500000',
       '$ 16700000', 'EUR 3900000', 'KRW 1300000000', '$ 144000000',
       'EUR 2300000', 'EUR 17000000', 'GBP 7500000', '$ 112000000',
       'EUR 11500000', 'GBP 20000000', '$ 195000000', 'EUR 12500000',
       'EUR 2100000', '$ 50200000', 'EUR 13000000', 'EUR 1948000',
       'EUR 4255932', 'EUR 240000', 'INR 102000000', '$ 209000000',
       'EUR 25000000', '$ 13300000', 'EUR 9000000', 'BRL 20000000',
       'AUD 25000000', '$ 38600000', 'EUR 8700000', 'EUR 7740000',
       'EUR 3850000', 'CAD 1100000', '$ 65000', 'CAD 600000', '$ 8900000',
       'EUR 11000000', 'KRW 30000000000', '$ 16600000', 'NOK 30300000',
       '$ 176000000', 'EUR 3700000', '$ 178000000', '$ 6600000',
       'EUR 9150000', 'NOK 17500000', '$ 12700000', 'GBP 6400000',
       'CZK 175000000', 'EUR 9500000', 'AUD 2500000', 'EUR 2472000',
       '$ 39200000', 'GBP 120000', '$ 930000', 'EUR 9700000', '$ 1009653',
       'NOK 19900000', '$ 19500000', '$ 25500000', '$ 81200000',
       '$ 6700000', '$ 3100000', '$ 40600000', '$ 16200000', '$ 7395080',
       '$ 9980000', 'EUR 9600000', 'PLN 34148170', 'EUR 5600000',
       'HKD 200000000', 'CLP 153000000', 'EUR 13500000', '$ 97600000',
       'EUR 3100000', '$ 335000', '$ 270000', 'GBP 4900000',
       'EUR 4300000', 'CNY 30000000', 'EUR 3200000', 'GBP 1300000',
       'EUR 15400000', 'EUR 8500000', 'SEK 63000000', '$ 1850000',
       '$ 58800000', 'EUR 850000', 'BRL 1860000', 'NZD 3500000',
       'NGN 1270000000', 'DKK 15500000', 'AUD 1300000', '$ 177200000',
       'ARS 2000000', '$ 14800000', '$ 74000000', '$ 937000',
       'EUR 103000', '$ 97000000', 'EUR 6500000', 'HUF 953000000',
       'MXN 12000000', '$ 420000', '$ 108000000', 'NOK 38500000',
       'EUR 5555559', 'CNY 150000000', 'GBP 316000', '$ 12000',
       '$ 245000000', '$ 50100000', '$ 129000000', 'EUR 6900000',
       '$ 10900000', '$ 99000000', 'GBP 8200000', 'ARS 3000000',
       '$ 317000000', '$ 275000000', 'EUR 1605000', 'EUR 4576591',
       '$ 127000000', 'EUR 10500000', 'EUR 1880000', 'HKD 15000000',
       'EUR 470000', 'NOK 35000000', 'HUF 700000000', 'AUD 17000000',
       'GBP 12000000', 'EUR 7700000', 'EUR 650000', 'EUR 1500',
       'EUR 2896000', 'EUR 12300000', '$ 9900000', '$ 217000000',
       '$ 111000000', '$ 12400000', 'GBP 700000', '$ 495000', 'CAD 60000',
       'AUD 3992880', 'CAD 13000000', 'EUR 4993020', 'BRL 4000000',
       'EUR 3800000', 'EUR 8555500', 'EUR 10300000', 'DKK 35500000',
       '$ 2480421', 'EUR 100000', 'EUR 1700000', 'AUD 1500000',
       'KRW 10000000000', '$ 321000000', '$ 356000000', 'GBP 5500000',
       'EUR 63000000', 'JPY 234000000', 'EUR 1350000', 'ILS 3850000',
       'EUR 1250000', 'CAD 61000000', 'GBP 400000', 'GBP 5400000',
       'EUR 4635000', 'CNY 200000', '$ 104000000', 'EUR 14582000',
       '$ 60720000', '$ 4900000', 'MXN 26040000', '$ 8620000',
       '$ 12620000', 'EUR 3500000', '$ 21400000', '$ 162000000',
       'EUR 1800000', '$ 6420000', 'BRL 2500000', 'EUR 1600000',
       'EUR 7870000', '$ 63300000', '$ 13600000', 'JPY 370000000',
       '$ 4250000', 'EUR 11110000', 'DOP 25185569', 'SEK 165000000',
       'EUR 1467000', 'EUR 76000', 'EUR 8900000', 'EUR 960000',
       '$ 183000000', 'ISK 250000000', 'NOK 47500000', 'BRL 500000',
       'NOK 52100000', 'EUR 600', '$ 11400000', 'EUR 5800000',
       'CNY 300000000', 'CAD 8000000', '$ 30100000', 'EUR 30690000',
       '$ 880000', '$ 84500000', 'EUR 514000', 'KRW 100000',
       'JPY 3000000', 'KRW 19000000000', 'EUR 2600000', '$ 29900000',
       '$ 11100000'], dtype=object)

...

ANSWER

Answered 2021-Mar-19 at 20:52

Try this:

Source https://stackoverflow.com/questions/66711357

QUESTION

How to convert JSON response to hash, and extract specific key and value

Asked 2021-Feb-12 at 13:04

Can you please give an advise how to correctly parse JSON response and convert it into hash, and extract specific key and value? I have JSON response

...

ANSWER

Answered 2021-Feb-12 at 12:20

I'll assume that your stating point is actually valid JSON, although what you've written above is not valid JSON...

First, there is no need to write this line:

Source https://stackoverflow.com/questions/66171596

QUESTION

I am trying to index a Dictionary but I don't know how. I am trying to access the data in "rates" but can't seem to get in there

Asked 2021-Feb-04 at 12:01

Down below is what I am working with. I am making a app that calculate the wholesale and retail prices from the first price in a different currency.

I am trying to get the exchange rates using a API. The api returns clean data that I have supplied below. But I still can't seem to get access to the "rates" part of it. My goal is to grab the CAD, USD, GBP, EUR. But I don't know how. It would mean a lot if you can help me. And yes I am quite new to C#

...

ANSWER

Answered 2021-Feb-04 at 12:01

using System;
using System.Collections.Generic;

using System.Globalization;
using Newtonsoft.Json;
using Newtonsoft.Json.Converters;

public partial class RatesModel
{
    [JsonProperty("rates")]
    public Dictionary Rates { get; set; }

    [JsonProperty("base")]
    public string Base { get; set; }

    [JsonProperty("date")]
    public DateTimeOffset Date { get; set; }
}

Source https://stackoverflow.com/questions/66044582

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install huf

You can download it from GitHub.
You can use huf like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: