Clean up High/Low Plotting Function A Bit #1234
Description
The High Low function introduced in the MSLP 1000-500mb Thickness plotting example is a wonderful touch to Python graphics. I thought maybe adding a black outline to the text would help it pop a bit more.
ex:
With matplotlib.patheffects and outline_effect = [patheffects.withStroke(linewidth=2.5, foreground='black')]
I also added an ax argument to the code so it could be imported as an external library and plot to the current axes.
def plot_maxmin_points(ax, lon, lat, data, extrema, nsize, symbol, color='k',
plotValue=True, transform=None):
import numpy as np
from matplotlib import patheffects
from scipy.ndimage.filters import maximum_filter, minimum_filter
outline_effect = [patheffects.withStroke(linewidth=2.5, foreground='black')]
mxy, mxx = np.where(data_ext == data)
#print(mxy,mxx)
for i in range(len(mxy)):
A = ax.text(lon[mxy[i], mxx[i]], lat[mxy[i], mxx[i]], symbol, color=color, size=24,
clip_on=True, horizontalalignment='center', verticalalignment='center',
transform=transform)
A.set_path_effects(outline_effect)
B = ax.text(lon[mxy[i], mxx[i]], lat[mxy[i], mxx[i]]-0.66,
str(np.int(data[mxy[i], mxx[i]])),
color=color, size=12, clip_on=True, fontweight='bold',
horizontalalignment='center', verticalalignment='top', transform=transform)
B.set_path_effects(outline_effect)
Since adding an outline pushes the pressures too close to the symbol I gave it some space, there's probably a more accepted way but this worked for me in my case.
lon[mxy[i], mxx[i]], lat[mxy[i], mxx[i]]-0.66
Thought I would pass my 2 cents on!
Sample Image:
