I am trying to get a plot to show with some test code in VSC.
I have version 3.2.2 of Matplotlib installed, as that is stated in Backtrader's documentation to be the compatible version. I am running Python 3.10.13 in a custom environment.
Here are my matplotlib installations. Matplotlib_inline is still showing in the conda-forge channel, even though I reinstalled it via pip. I am trying to keep packages installed in the same fashion, but some of my packages were installed with pip versus conda. I have all of the imported packages from my actual code below installed. I don't know if this is a dependency/comptaibility issue, but I suspect that.
# Name Version Build Channel
matplotlib 3.2.2 pypi_0 pypi
matplotlib-inline 0.1.7 pyhd8ed1ab_0 conda-forge
I don't think there are any issues with my code -- no errors appear. The output under my last cell after trying to plot is [[<Figure size 640x480 with 4 Axes>]].
My code:
%matplotlib inline
import matplotlib
import matplotlib_inline
import matplotlib.pyplot as plt # For plotting with matplotlib
import backtrader as bt
import backtrader.plot as btplt
import datetime
import yfinance as yf
import backtrader.plot as btplt
df = yf.download('AAPL', start='2010-01-01', end='2024-01-01')
feed = bt.feeds.PandasData(dataname=df)
cerebro = bt.Cerebro()
cerebro.adddata(feed)
cerebro.run()
matplotlib.pyplot.switch_backend('module://ipykernel.pylab.backend_inline')
cerebro.plot()
No plot shows in the final cell, just [[<Figure size 640x480 with 4 Axes>]]
I tried uninstalling and reinstall all associated packages. I even tried an older version of matplotlib. I was hoping this would fix the no-plot issue. Still, no plot shows.
Try this approach to display the plot in both VSC and Colab. Save the plot as an image and display it using IPython.display.Image:
from IPython.display import Image
# Set the path to save the image
img_path = "backtrader_plot.png"
# Generate the plot and save it
fig = cerebro.plot(style="candlestick")[0][0]
fig.savefig(img_path)
# Display the saved image
Image(filename=img_path)
