When Using External Axes Method To Plot Multiple Candlestick Charts Using Mplfinance Library, How To Plot Volume Inside The Candlestick Chart?

The project I am doing requires code to plot more than 300 candlestick charts in several figures using mplfinance library. I am aware that this can only be done using external axes

Solution 1:

I will assume what you are asking is to have the volume and candlesticks share the same x-axis similar to this image here.

The simplest way to do this is to use fig.add_axes() (instead of fig.add_subplot())

In this way you can control exactly where in the Figure each Axes is placed. You can see this being done in the mplfinance code here.

The basic idea is that you specify the location of each Axes object in terms of a fraction of the total figure, indicating the lower left corner of the Axes, and its width and height.

When you want two Axes objects to touch, with no space between them, you specify the location and width/height accordingly so that the top of the lower Axes and the bottom of the upper Axes exactly meet.

So, for example, to stack two equally sized Axes exactly on top of each other, lets say in the upper left quadrant of the Figure you would have:

# ax = fig.add_axes([left,bottom,width,height])ax1 = fig.add_axes([0.05,0.75,0.5,0.25])
ax2 = fig.add_axes([0.05,0.50,0.5,0.25])

• The 0.05 space to the left allows room for the y-axis labels.
• ax1 starts three quarters (0.75) of the way up from the bottom, and stretches half way (0.5) to the right with a height of 0.25 (which takes it to the very top of the Figure).
• ax2 starts half way (0.50) up from the bottom, also stretches half way (0.5) across to the right, and has a height of 0.25 taking it exactly to the very bottom of ax1.

HTH

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Here is a more specific example, and the result. Notice how the candles and volume plot together only take up the upper left quadrant of the figure:

fig = mpf.figure(figsize=(8,8),style='yahoo')

ax1 = fig.add_axes([0.05,0.75,0.5,0.25])
ax2 = fig.add_axes([0.05,0.50,0.5,0.25])

mpf.plot(df,type='candle',ax=ax1,volume=ax2)
mpf.show()