Event Handling with mplfinance

Hey Daniel, love what you're doing with this package, it's absolutely fantastic.

I'm a pretty novice coder so excuse any code that might be unpreferred but I recently had an idea for a "point and click" technical indicator and wanted to try it out. The only issue is that I have absolutely no idea how to use event handling with the new mplfinance package.

I made a makeshift version using the old mpl_finance package. Attached is it (I'm using Alphavantage for intraday data, not sure I want to post my apikey here so I'll post everything but that):

import requests_html
import yahoo_fin.stock_info as yf
import pandas as pd
import numpy as np
import mpl_finance as mpf
import json
import requests
import datetime
import matplotlib as mpl
from mplfinance.original_flavor import candlestick_ohlc


ticker='SPY'
interval='60min'
apikey=''

r = requests.get("https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={}&interval={}&outputsize=full&apikey={}".format(ticker,interval, apikey))
df = pd.DataFrame.from_dict(r.json()['Time Series ({})'.format(interval)]).T
df.columns=['Open','High','Low','Close','Volume']
df.index = pd.to_datetime(df.index)
df.sort_index(ascending=True, inplace=True)
df = df.apply(pd.to_numeric)

inital_data = df
inital_data.columns = map(str.title, inital_data.columns)


fig, ax = plt.subplots(figsize=(15,15))


candlestick_ohlc(ax, zip(mpl.dates.date2num(inital_data.index), inital_data['Open'], inital_data['High'], inital_data['Low'], inital_data['Close']))  


def onclick(event):
    date = mpl.dates.num2date(event.xdata)
    # print(datetime.datetime.strftime(date,"%Y-%m-%d %H:%M"))
    data = inital_data.loc[date:,:]
    vwap = []


    for x in range(len(data['Close'])):
        vwap.append(np.sum((data['Close'][0:(x+1)]*data['Volume'][0:(x+1)]))/np.sum(data['Volume'][0:(x+1)]))

    data[date] = vwap
    inital_data[date]=data[date]

    ax.plot(inital_data.index,inital_data[date])

    inital_data.drop(date, axis=1, inplace=True)
    event.canvas.draw()
    print(data.index[0])

cid = fig.canvas.mpl_connect('button_press_event', onclick)
plt.show()

The point and click functionality works incredible, exactly what I wanted, but it is so ugly. I made a non-point and click version using the new mplfinance and it looks beautiful but I want the point and click functionality for that.

Here's the ugly looking one:
https://imgur.com/a/VPa0SlH

Here's the beautiful looking one:
https://imgur.com/a/6s5gQSu

Any help in getting the event handling for the new package would be much appreciated.

Start with the supplied onclick function and the fig.canvas.mpl_connect('button_press_event', onclick) entry point, then review how the example uses mplfinance alongside Matplotlib. Done means the point-and-click interaction works with the new mplfinance package while retaining the newer chart appearance.