I am using mplfinance package to plot candlestick charts of the stock. I am currently trying to figure out how can I change the formatting of the volume in the mplfinance. In all examples provided by the package, and in my own chart the volume comes out in strange notation like 1e23 etc. I would like my volume to reflect the numerical value of what is actually in the pandas dataframe. I trade myself and when I am looking at charts anywhere on the actual trading platforms, it shows normal, it actually shows the volume. But when I look at matplotlib, pandas, mplfinance examples online, the notations is formatted in a strange way everywhere.
The volume notation is automatically in exponential form based on the size of the volume, so if you want to avoid this, you can avoid it by making the original data smaller with unit data. The following example shows how to deal with this problem by dividing by 1 million. This data is taken from the official website.
daily['Volume'] = daily['Volume'] / 1000000
This is how we responded.
%matplotlib inline
import pandas as pd
daily = pd.read_csv('data/SP500_NOV2019_Hist.csv',index_col=0,parse_dates=True)
daily['Volume'] = daily['Volume'] / 1000000
import mplfinance as mpf
mpf.plot(daily,type='candle',volume=True,
title='\nS&P 500, Nov 2019',
ylabel='OHLC Candles',
ylabel_lower='Shares\nTraded')
Example of normal output