For code/output blocks: Use ``` (aka backtick or grave accent) in a single line before and after the block. See: http://commonmark.org/help/
How to output plots in a dark theme?
-
Hey guys, I'm new to backtrader, anyone knows how to plot output with a dark background? I need it because I'm building a Telegram Bot and I wish the output would be black on background.
Thanks in advance.
Arthur
-
This gave me decent dark background plot without adding too much code.
import matplotlib.pyplot as plt # run backtest... plt.style.use('dark_background') # call before plotting cerebro.plot( loc='grey', # changes color for 'line on close' plot otherwise it will plot black on black grid=False # the default gridlines didn't look good w/ dark background ) fig = plt.gcf() # this will make the value tags at end of the lines readable. Otherwise it will plot white on white for ax in fig.axes: for text in ax.texts: text.set_color('black') plt.show()Backtrader plots using matplotlib so if you're familiar with it you can always plot with cerebro.plot(), get the current figure with fig = plt.gcf(), and alter the figure's elements from there.
-
This is my whole dark theme, I´ve tried to emulate TradingView schema.
plt.style.use('fivethirtyeight') plt.rcParams["figure.figsize"] = (10, 6) plt.rcParams['lines.linewidth'] = 1 SIZE = 7 plt.rcParams['axes.labelsize'] = SIZE plt.rcParams['ytick.labelsize'] = SIZE plt.rcParams['xtick.labelsize'] = SIZE plt.rcParams["font.size"] = SIZE COLOR = '1' plt.rcParams['text.color'] = COLOR plt.rcParams['axes.labelcolor'] = COLOR plt.rcParams['xtick.color'] = COLOR plt.rcParams['ytick.color'] = COLOR plt.rcParams['grid.linewidth']=0.1 plt.rcParams['grid.color']="0.2" plt.rcParams['lines.color']="0.5" plt.rcParams['axes.edgecolor']="0.2" plt.rcParams['axes.linewidth']=0.5 plt.rcParams['figure.facecolor']="#101622" plt.rcParams['axes.facecolor']="#101622" plt.rcParams["savefig.dpi"]=120 dpi = plt.rcParams["savefig.dpi"] width = 700 height = 1200 plt.rcParams['figure.figsize'] = height/dpi, width/dpi plt.rcParams["savefig.facecolor"] ="#101622" plt.rcParams["savefig.edgecolor"]="#101622" plt.rcParams['legend.fontsize'] = SIZE plt.rcParams['legend.title_fontsize'] = SIZE + 1 plt.rcParams['legend.labelspacing'] =0.25 plt.rcParams['image.cmap']='tab10'
