mplfinance: 'secondary_y=True' not working. Not plot multiple lines/candles due to very wide Y-Axis data ranges

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I want to compare price movement of two scrips with Stock Indices in one chart object (single panel) using mplfinance in python 3.11.3.

Tried code from snippet: https://github.com/matplotlib/mplfinance/blob/master/examples/addplot.ipynb

I have data in 3 excel csv files that are to be plotted (line or candle) in one chart:

Indeces data

Data of scrip1

Data of scrip2

Comparison of two tables is generating chart below:

Chart comparing data in two tables

I tried the mplfinance method given in

Plot multiple mplfinance plots sharing x axis

This method exits the console.

Then, the following code has been tried:

import mplfinance as mpf
import pandas as pd

idc = pd.read_csv(r'D:\NUVAMA_STOCK_DATA\CHARTING-BANKNIFTY-25 MAY 2023\Nifty Bank_03March2023-25 MAY 2023_CHART.csv')
idc['Date'] = pd.to_datetime(idc['Date'], format = "mixed")
idc.set_index('Date', inplace=True)
intraday = idc
intraday.index.name = 'Date'
intraday.shape
intraday.head(3)
intraday.tail(3)

iday = intraday.loc['22-05-2023  09:16:00':'25-05-2023  15:29:00',:]


ce = pd.read_csv(r'D:\NUVAMA_STOCK_DATA\CHARTING-BANKNIFTY-25 MAY 2023\BANKNIFTY 25MAY 2023 CE 46500_CHART.csv')
ce['Date'] = pd.to_datetime(ce['Date'], format = "mixed")
ce.set_index('Date', inplace=True)
intraday2 = ce
intraday2.index.name = 'Date'
intraday2.shape
intraday2.head(3)
intraday2.tail(3)

iday2 = intraday2.loc['22-05-2023  09:16:00':'25-05-2023  15:29:00',:]



pe = pd.read_csv(r'D:\NUVAMA_STOCK_DATA\CHARTING-BANKNIFTY-25 MAY 2023\BANKNIFTY 25 May 2023 PE 43600_CHART.csv')
pe['Date'] = pd.to_datetime(pe['Date'], format = "mixed")
pe.set_index('Date', inplace=True)
intraday1 = pe
intraday1.index.name = 'Date'
intraday1.shape
intraday1.head(3)
intraday1.tail(3)

iday1 = intraday1.loc['22-05-2023  09:16:00':'25-05-2023  15:29:00',:]

ap = [mpf.make_addplot(iday1, type='line', y_on_right=True), mpf.make_addplot(iday2, type='candle', y_on_right=True),]

mpf.plot(
    iday,
    volume=True,
    title='BANKNIFTY&PE 43600', ylabel='Price ($)', ylabel_lower='Volumes', #figratio=(12,4),
    type="line",
    style="sas",
    addplot=ap, 
    )

This code gives following error message:

"D:\PYTHON_3.11.3\Lib\site-packages\mplfinance\plotting.py:694: UserWarning: Attempting to set identical low and high ylims makes transformation singular; automatically expanding.
  volumeAxes.set_ylim(vymin,vymax)
Traceback (most recent call last):
  File "D:\PyProgFiles\ChatGPT\CS_Mpf\TEST_MULTI_BNPECE_StackOverFlow.py", line 44, in <module>
    mpf.plot(
  File "D:\PYTHON_3.11.3\Lib\site-packages\mplfinance\plotting.py", line 780, in plot
    ax = _addplot_columns(panid,panels,ydata,apdict,xdates,config)
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\PYTHON_3.11.3\Lib\site-packages\mplfinance\plotting.py", line 1075, in _addplot_columns
    ymhi = math.log(max(math.fabs(np.nanmax(yd)),1e-7),10)
                                  ^^^^^^^^^^^^^
  File "<__array_function__ internals>", line 200, in nanmax
  File "D:\PYTHON_3.11.3\Lib\site-packages\numpy\lib\nanfunctions.py", line 483, in nanmax
    res = np.amax(a, axis=axis, out=out, **kwargs)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<__array_function__ internals>", line 200, in amax
  File "D:\PYTHON_3.11.3\Lib\site-packages\numpy\core\fromnumeric.py", line 2820, in amax
    return _wrapreduction(a, np.maximum, 'max', axis, None, out,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\PYTHON_3.11.3\Lib\site-packages\numpy\core\fromnumeric.py", line 86, in _wrapreduction
    return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: zero-size array to reduction operation maximum which has no identity"

Unable to understand what's going wrong.

DATA:

BANKNIFTY 25MAY 2023 CE 46500_CHART.csv

BANKNIFTY 25 May 2023 PE 43600_CHART

Nifty Bank_03March2023-25 MAY 2023_CHART.csv



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