How to output plots in a dark theme?

[Arthur Pendragon]

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

[rho33]

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.

[Mariano Volpedo]

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'