Previously the cryptocurrency application has loaded the world currency text file and then populate the currency combo box based on the currency symbol in that text file. In this article, the cryptocurrency program will use the returning currency symbol from Blockchain to populate that same combo box.

Populate the currency combo box with currency symbols from Blockchain.

    for k in ticker:
        #sell_buy += "BTC:" + str(k) + " " + str(ticker[k].p15min) + "\n"
        currency_exchange_rate.append((ticker[k].p15min))
        currency_index.append(str(k))
        curr1 += (str(k),) # the tuple used to populate the currency combo box

As you can see all the currency symbols will be kept in a tuple which will then be used to populate the currency combo box.

Below is the entire code used to populate the combo box with the currency symbol.

def get_exchange_rate():  # this method will display the incoming exchange rate data after the api called

    global exchange_rate
    global base_crypto

    # read the currency file
    #c_string = ''
    #with open('currency.txt') as fp:
        #for currency in fp.readlines():
            #c_string += currency[:-1] + ","
    #c_string = c_string[:-1]

    #base_crypto = crypto.get()  # get the desired crypto currency
    #try:
        #url = "https://min-api.cryptocompare.com/data/price"  # url for API call
        #data = {'fsym': base_crypto, 'tsyms': c_string}
        # = requests.get(url, params=data)
        #exchange_rate_s = json.loads(json.dumps(r.json()))

    #except:
        #print("An exception occurred")

    curr1 = tuple()  # the tuple which will be populated by currency
    sell_buy = ''

    #for key, value in exchange_rate_s.items():  # populate exchange rate string and the currency tuple
        #sell_buy += base_crypto + ":" + key + "  " + str(value) + "\n"
        #curr1 += (key,)

    #sell_buy += "Bitcoin : Currency price every 15 minute:" + "\n\n"
    # print the 15 min price for every bitcoin/currency
    currency_exchange_rate = []
    currency_index = []


    for k in ticker:
        #sell_buy += "BTC:" + str(k) + " " + str(ticker[k].p15min) + "\n"
        currency_exchange_rate.append((ticker[k].p15min))
        currency_index.append(str(k))
        curr1 += (str(k),) # the tuple used to populate the currency combo box

    # construct the pandas data frame object
    d = {'BTC': currency_exchange_rate}
    df = pd.DataFrame(data=d, index=currency_index)

    countVar = StringVar()  # use to hold the character count
    text_widget.tag_remove("search", "1.0", "end")  # cleared the hightlighted currency pair

    text_widget.delete('1.0', END)  # clear all those previous text first
    s.set(df)
    text_widget.insert(INSERT, s.get())  # populate the text widget with new exchange rate data

    # highlight the background of the searched currency pair
    pos = text_widget.search('AUD', "1.0", stopindex="end", count=countVar)
    text_widget.tag_configure("search", background="green")
    end_pos = float(pos) + float(0.96)
    text_widget.tag_add("search", pos, str(end_pos))
    pos = float(pos) + 2.0
    text_widget.see(str(pos))

    # fill up combo box of world currency
    based['values'] = curr1
    based.current(0)

    # enable all buttons
    action_search.config(state=NORMAL)
    action_coin_volume.config(state=NORMAL)
    action_coin_market_cap.config(state=NORMAL)
    action_coin_top_exchange.config(state=NORMAL)

Some of the code has appeared in the previous chapter which you can read them in the previous article.

Load the currency symbol from Blockchain

Click to rate this post!
[Total: 0 Average: 0]
Please follow and like us:
error0

Leave a Reply

Your email address will not be published. Required fields are marked *