def double_choropleth(gdf,
label_fn=lambda _: "",
Rt_col="Rt",
Rt_proj_col="Rt_proj",
titles=["Current $R_t$", "Projected $R_t$ (1 Week)"],
arrangement=(1, 2),
label_kwargs={},
mappable=sm):
""" plot two choropleths side-by-side based on multiple metrics """
gdf["pt"] = gdf["geometry"].centroid
fig, (ax1, ax2) = plt.subplots(*arrangement)
for (ax, title, col) in zip((ax1, ax2), titles, (Rt_col, Rt_proj_col)):
ax.grid(False)
ax.set_xticks([])
ax.set_yticks([])
ax.set_title(title, loc="left", fontdict=theme.label)
gdf.plot(color=[mappable.to_rgba(_) for _ in gdf[col]],
ax=ax,
edgecolors="black",
linewidth=0.5,
missing_kwds={
"color": theme.accent,
"edgecolor": "white"
})
if label_fn is not None:
for (_, row) in gdf.iterrows():
label = label_fn(row)
Rt_c, Rt_p = round(row[Rt_col], 2), round(row[Rt_proj_col], 2)
a1 = ax1.annotate(s=f"{label}{Rt_c}",
xy=list(row["pt"].coords)[0],
ha="center",
fontfamily=theme.note["family"],
color="white",
**label_kwargs)
a2 = ax2.annotate(s=f"{label}{Rt_p}",
xy=list(row["pt"].coords)[0],
ha="center",
fontfamily=theme.note["family"],
color="white",
**label_kwargs)
a1.set_path_effects(
[Stroke(linewidth=2, foreground="black"),
Normal()])
a2.set_path_effects(
[Stroke(linewidth=2, foreground="black"),
Normal()])
cbar_ax = fig.add_axes([0.95, 0.25, 0.01, 0.5])
cb = fig.colorbar(mappable=mappable, orientation="vertical", cax=cbar_ax)
cbar_ax.set_title("$R_t$", fontdict=theme.note)
return PlotDevice(fig)
def __init__(self,
size=1,
extent=0.025,
label="",
loc=2,
ax=None,
pad=0.6,
borderpad=0.5,
ppad=0,
sep=4,
prop=None,
frameon=False,
colour='black',
**kwargs):
# size: length of bar in data units.
# extent: height of bar ends in axes units.
if loc == 'upper right':
loc = 1
elif loc == 'upper left':
loc = 2
elif loc == 'lower left':
loc = 3
elif loc == 'lower right':
loc = 4
if colour in ['w', 'white']:
fc = 'w' # Foreground colour.
ec = 'k' # Edge colour.
else:
fc = 'k'
ec = 'w'
trans = ax.get_xaxis_transform()
size_bar = matplotlib.offsetbox.AuxTransformBox(trans)
rectangle = Rectangle((0, 0), width=size, height=extent, fc=fc, ec=ec)
size_bar.add_artist(rectangle)
text = matplotlib.offsetbox.TextArea(label,
minimumdescent=False,
textprops={'color': fc})
path_effects = [
Stroke(linewidth=2, foreground=ec, alpha=0.75),
Normal()
]
text._text.set_path_effects(path_effects)
self.vpac = matplotlib.offsetbox.VPacker( \
children=[size_bar, text], align="center", pad=ppad, sep=sep)
matplotlib.offsetbox.AnchoredOffsetbox.__init__( \
self, loc, pad=pad, borderpad=borderpad, child=self.vpac,
prop=prop, frameon=frameon)
def filtered_text(ax):
# mostly copied from contour_demo.py
# prepare image
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
# draw
im = ax.imshow(Z,
interpolation='bilinear',
origin='lower',
cmap=cm.gray,
extent=(-3, 3, -2, 2))
levels = np.arange(-1.2, 1.6, 0.2)
CS = ax.contour(Z,
levels,
origin='lower',
linewidths=2,
extent=(-3, 3, -2, 2))
ax.set_aspect("auto")
# contour label
cl = ax.clabel(
CS,
levels[1::2], # label every second level
inline=1,
fmt='%1.1f',
fontsize=11)
# change clable color to black
from matplotlib.patheffects import Normal
for t in cl:
t.set_color("k")
t.set_path_effects(
[Normal()]) # to force TextPath (i.e., same font in all backends)
# Add white glows to improve visibility of labels.
white_glows = FilteredArtistList(cl, GrowFilter(3))
ax.add_artist(white_glows)
white_glows.set_zorder(cl[0].get_zorder() - 0.1)
ax.xaxis.set_visible(False)
ax.yaxis.set_visible(False)
def filtered_text(ax):
# mostly copied from contour_demo.py
# prepare image
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2
# draw
ax.imshow(Z,
interpolation='bilinear',
origin='lower',
cmap=cm.gray,
extent=(-3, 3, -2, 2),
aspect='auto')
levels = np.arange(-1.2, 1.6, 0.2)
CS = ax.contour(Z,
levels,
origin='lower',
linewidths=2,
extent=(-3, 3, -2, 2))
# contour label
cl = ax.clabel(
CS,
levels[1::2], # label every second level
inline=True,
fmt='%1.1f',
fontsize=11)
# change clabel color to black
from matplotlib.patheffects import Normal
for t in cl:
t.set_color("k")
# to force TextPath (i.e., same font in all backends)
t.set_path_effects([Normal()])
# Add white glows to improve visibility of labels.
white_glows = FilteredArtistList(cl, GrowFilter(3))
ax.add_artist(white_glows)
white_glows.set_zorder(cl[0].get_zorder() - 0.1)
ax.xaxis.set_visible(False)
ax.yaxis.set_visible(False)
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
# if "main" axes
if not kwargs.get("sharex"):
text = AnchoredText("PRELIMINARY",
loc="center",
frameon=False,
borderpad=0,
prop=dict(alpha=0.15,
fontsize=50,
rotation=30,
color="black"))
text.set_path_effects(
[Stroke(linewidth=3, foreground="white"),
Normal()])
text.set_zorder(1000)
self.add_artist(text)
def test_patheffect1():
ax1 = plt.subplot(111)
ax1.imshow([[1, 2], [2, 3]])
txt = ax1.annotate("test", (1., 1.), (0., 0),
arrowprops=dict(arrowstyle="->",
connectionstyle="angle3", lw=2),
size=20, ha="center",
path_effects=[withStroke(linewidth=3,
foreground="w")])
txt.arrow_patch.set_path_effects([Stroke(linewidth=5,
foreground="w"),
Normal()])
ax1.grid(True, linestyle="-")
pe = [withStroke(linewidth=3, foreground="w")]
for l in ax1.get_xgridlines() + ax1.get_ygridlines():
l.set_path_effects(pe)
def choropleth(gdf,
label_fn=lambda _: "",
col="Rt",
title="$R_t$",
label_kwargs={},
mappable=sm,
fig=None,
ax=None):
""" display choropleth of locations by metric """
gdf["pt"] = gdf["geometry"].centroid
if not fig:
fig, ax = plt.subplots()
ax.grid(False)
ax.set_xticks([])
ax.set_yticks([])
if title:
ax.set_title(title, loc="left", fontdict=theme.label)
gdf.plot(color=[mappable.to_rgba(_) for _ in gdf[col]],
ax=ax,
edgecolors="black",
linewidth=0.5,
missing_kwds={
"color": theme.accent,
"edgecolor": "white"
})
if label_fn is not None:
for (_, row) in gdf.iterrows():
label = label_fn(row)
value = round(row[col], 2)
ax.annotate(
s = f"{label}{value}",
xy = list(row["pt"].coords)[0],
ha = "center",
fontfamily = theme.note["family"],
color = "black", **label_kwargs,
fontweight = "semibold",
size = 12)\
.set_path_effects([Stroke(linewidth = 2, foreground = "white"), Normal()])
cbar_ax = fig.add_axes([0.90, 0.25, 0.01, 0.5])
cb = fig.colorbar(mappable=mappable, orientation="vertical", cax=cbar_ax)
cbar_ax.set_title("$R_t$", fontdict=theme.note)
return PlotDevice(fig)
import matplotlib.dates as mdt
import matplotlib.font_manager as mfm
import matplotlib.patches as mpatch
import matplotlib.path as mpath
import matplotlib.pyplot as plt
import matplotlib.transforms as mtrans
import numpy as np
from matplotlib.patheffects import Normal, Stroke
from .cell import Cell, CellRow
from .gpf import pure_cmap
from .weathercode import WeatherCode
from .wxsymbols import wx_symbol_font
STROKE = [Stroke(linewidth=0.8, foreground='w'), Normal()]
ARROW_VER = [(0, -0.1), (0.66, -0.8), (0, 1), (-0.66, -0.8), (0, -0.1)]
ARROW_CODE = [
mpath.Path.MOVETO, mpath.Path.LINETO, mpath.Path.LINETO, mpath.Path.LINETO,
mpath.Path.CLOSEPOLY
]
ARROW = mpath.Path(ARROW_VER, ARROW_CODE)
temp_cmap = pure_cmap('temp')
fontpath = os.path.join(os.path.dirname(__file__), 'source.ttf')
source_font = mfm.FontProperties(fname=fontpath, size=6)
matplotlib.rc('font', family='HelveticaNeue', size=6)
ax = fig.add_subplot(4, 2, 6, xticks=[], yticks=[])
ax.imshow(I, cmap=cmap, origin="lower")
ax.text(
x,
y,
"Read me",
color="white",
transform=ax.transData,
bbox={
"facecolor": "black",
"edgecolor": "None",
"pad": 1,
"alpha": 0.75
},
)
ax = fig.add_subplot(4, 2, 7, xticks=[], yticks=[])
ax.imshow(I, cmap=cmap, origin="lower")
text = ax.text(x, y, "Read me", color="black", transform=ax.transData)
text.set_path_effects([Stroke(linewidth=1.5, foreground="white"), Normal()])
ax = fig.add_subplot(4, 2, 8, xticks=[], yticks=[])
ax.imshow(I, cmap=cmap, origin="lower")
text = ax.text(x, y, "Read me", color="white", transform=ax.transData)
text.set_path_effects([Stroke(linewidth=1.5, foreground="black"), Normal()])
plt.tight_layout()
plt.savefig("../../figures/typography/typography-legibility.pdf", dpi=600)
plt.show()
def draw_outline(matplt_plot_obj, lw):
matplt_plot_obj.set_path_effects(
[Stroke(linewidth=lw, foreground='black'),
Normal()])
