How To Make Color The Wick Portion Of A Candlestick Stick Using Matplotlib?
Solution 1:
Rewriting the complete candlestick_ohlc
seems overly complicated. You can just iterate over the lines returned by the function and set their color to black. You may also set the zorder
to have the wicks appear below the boxes.
lines, patches = candlestick_ohlc(ax, quotes, width=0.5)
for line, patch in zip(lines, patches):
patch.set_edgecolor("k")
patch.set_linewidth(0.72)
patch.set_antialiased(False)
line.set_color("k")
line.set_zorder(0)
If this is to be used often in a script, you can of course put it in a function.
def candlestick_ohlc_black(*args,**kwargs):
lines, patches = candlestick_ohlc(*args,**kwargs)
for line, patch in zip(lines, patches):
patch.set_edgecolor("k")
patch.set_linewidth(0.72)
patch.set_antialiased(False)
line.set_color("k")
line.set_zorder(0)
candlestick_ohlc_black(ax, quotes, width=0.5)
Solution 2:
As Paul says, A MCVE would assist people in helping you greatly.
However - just having a quick glance at the source code for the candlestick plotting in matplotlib shows that it uses the colorup/colordown parameter for both the candle and the wick.
So in order to get them to be different colours you will most likely need to reimplement the method and/or monkey patch the base implementation.
So in your plotting module, use something along the lines of:
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
def blackwickcandlestick(ax, quotes, width=0.2, colorup='k', colordown='r',
alpha=1.0, ochl=True):
OFFSET = width / 2.0
lines = []
patches = []
forq in quotes:
if ochl:
t, open, close, high, low = q[:5]else:
t, open, high, low, close = q[:5]ifclose >= open:
color = colorup
lower = open
height = close - openelse:
color = colordown
lower = close
height = open - close
vline = Line2D(
xdata=(t, t), ydata=(low, high),
color='k', # This is the only line changed from the default implmentation
linewidth=0.5,
antialiased=True,
)
rect = Rectangle(
xy=(t - OFFSET, lower),
width=width,
height=height,
facecolor=color,
edgecolor=color,
)
rect.set_alpha(alpha)
lines.append(vline)
patches.append(rect)
ax.add_line(vline)
ax.add_patch(rect)
ax.autoscale_view()
return lines, patches
import matplotlib.finance as mpl_finance
mpl_finance._candlestick = blackwickcandlestick
Then elsewhere in this module you can use the mpl_finance.candlestick_ohlc(...)
plotting functions.
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