本文整理汇总了Python中matplotlib.collections.LineCollection.set_facecolor方法的典型用法代码示例。如果您正苦于以下问题：Python LineCollection.set_facecolor方法的具体用法？Python LineCollection.set_facecolor怎么用？Python LineCollection.set_facecolor使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.collections.LineCollection的用法示例。
在下文中一共展示了LineCollection.set_facecolor方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: plot_europe_map
# 需要导入模块: from matplotlib.collections import LineCollection [as 别名]
# 或者: from matplotlib.collections.LineCollection import set_facecolor [as 别名]
def plot_europe_map(country_weights, b=None, ax=None):
"""
Plot a map from shapefiles with coutnries colored by gamma. Inspired by Magnus.
"""
if ax == None:
ax = plt.subplot(111)
m = Basemap(llcrnrlon=-10., llcrnrlat=30., urcrnrlon=50., urcrnrlat=72.,
projection='lcc', lat_1=40., lat_2=60., lon_0=20.,
resolution='l', area_thresh=1000.,
rsphere=(6378137.00, 6356752.3142))
m.drawcoastlines(linewidth=0)
r = shapefile.Reader(r'settings/ne_10m_admin_0_countries/ne_10m_admin_0_countries')
all_shapes = r.shapes()
all_records = r.records()
shapes = []
records = []
for country in all_countries:
shapes.append(all_shapes[shapefile_index[country]])
records.append(all_records[shapefile_index[country]])
country_count = 0
for record, shape in zip(records, shapes):
lons, lats = zip(*shape.points)
data = np.array(m(lons, lats)).T
if len(shape.parts) == 1:
segs = [data, ]
else:
segs = []
for i in range(1, len(shape.parts)):
index = shape.parts[i - 1]
index2 = shape.parts[i]
segs.append(data[index:index2])
segs.append(data[index2:])
lines = LineCollection(segs, antialiaseds=(1,))
lines.set_facecolor(cmap(country_weights[country_count]))
lines.set_edgecolors('k')
lines.set_linewidth(0.3)
ax.add_collection(lines)
country_count += 1
if b: plt.text(1.5e5, 4e6, r'$\beta = ' + str(b) + r'$', fontsize=12)示例2: plot_linestring_collection
# 需要导入模块: from matplotlib.collections import LineCollection [as 别名]
# 或者: from matplotlib.collections.LineCollection import set_facecolor [as 别名]
def plot_linestring_collection(ax, geoms, colors_or_values, plot_values,
vmin=None, vmax=None, cmap=None,
linewidth=1.0, **kwargs):
"""
Plots a collection of LineString and MultiLineString geometries to `ax`
Parameters
----------
ax : matplotlib.axes.Axes
where shapes will be plotted
geoms : a sequence of `N` LineStrings and/or MultiLineStrings (can be mixed)
colors_or_values : a sequence of `N` values or RGBA tuples
It should have 1:1 correspondence with the geometries (not their components).
plot_values : bool
If True, `colors_or_values` is interpreted as a list of values, and will
be mapped to colors using vmin/vmax/cmap (which become required).
Otherwise `colors_or_values` is interpreted as a list of colors.
Returns
-------
collection : matplotlib.collections.Collection that was plotted
"""
from matplotlib.collections import LineCollection
components, component_colors_or_values = _flatten_multi_geoms(
geoms, colors_or_values)
# LineCollection does not accept some kwargs.
if 'markersize' in kwargs:
del kwargs['markersize']
segments = [np.array(linestring)[:, :2] for linestring in components]
collection = LineCollection(segments,
linewidth=linewidth, **kwargs)
if plot_values:
collection.set_array(np.array(component_colors_or_values))
collection.set_cmap(cmap)
collection.set_clim(vmin, vmax)
else:
# set_color magically sets the correct combination of facecolor and
# edgecolor, based on collection type.
collection.set_color(component_colors_or_values)
# If the user set facecolor and/or edgecolor explicitly, the previous
# call to set_color might have overridden it (remember, the 'color' may
# have come from plot_series, not from the user). The user should be
# able to override matplotlib's default behavior, by setting them again
# after set_color.
if 'facecolor' in kwargs:
collection.set_facecolor(kwargs['facecolor'])
if 'edgecolor' in kwargs:
collection.set_edgecolor(kwargs['edgecolor'])
ax.add_collection(collection, autolim=True)
ax.autoscale_view()
return collection