# -*- coding: utf-8 -*-
# Map类
# Author: Liu xianyao
# Email: flashlxy@qq.com
# Update: 2019-11-20
# Copyright: ©江西省气象台 2017
# Version: 3.0.20191120
from __future__ import print_function
import os
from datetime import datetime
import matplotlib
from matplotlib._png import read_png
from matplotlib.collections import LineCollection
from matplotlib.font_manager import FontProperties
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
from matplotlib.path import Path
from matplotlib.ticker import FormatStrFormatter
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
import shapefile
from matplotlib import patches, dedent
from Border import Border
from ClipBorder import ClipBorder
from Projection import Projection
import matplotlib.pyplot as plt
import numpy as np
class Map:
"""
地图类
"""
def __init__(self, root):
# 地图投影
self.projection = Projection(root[0])
# 边界集合
bordersleaf = root[0].find('Borders').getchildren()
self.borders = []
for borderleaf in bordersleaf:
self.borders.append(Border(borderleaf))
# clip区域集合
clipsleaf = root[0].find('ClipBorders').getchildren()
self.clipborders = []
for clipleaf in clipsleaf:
self.clipborders.append(ClipBorder(clipleaf))
# 站点文件
from Stations import Stations
self.stations = Stations(root[0])
pass
@staticmethod
def DrawContourfAndLegend(contourf, legend, clipborder, patch, cmap, levels, extend, extents, x, y, z, m):
"""
:param contourf:
:param legend:
:param clipborder:
:param patch:
:param cmap:
:param levels:
:param extend:
:param extents:
:param x:
:param y:
:param z:
:param m:
:return:
"""
# 是否绘制色斑图 ------ 色版图、图例、裁切是一体的
xmax = extents.xmax
xmin = extents.xmin
ymax = extents.ymax
ymin = extents.ymin
if contourf.contourfvisible:
# 绘制色斑图
if legend.micapslegendvalue:
CS = m.contourf(x, y, z, cmap=cmap, levels=levels, extend=extend)
else:
CS = m.contourf(
x,
y,
z, # cax=axins,
levels=legend.legendvalue,
colors=legend.legendcolor,
extend=extend,
hatches=legend.hatches)
# 用区域边界裁切色斑图
if clipborder.path is not None and clipborder.using:
for collection in CS.collections:
collection.set_clip_on(True)
collection.set_clip_path(patch)
CB = None
if m is plt:
# 插入一个新坐标系 以使图例在绘图区内部显示
ax2 = plt.gca()
axins = inset_axes(ax2, width="100%", height="100%", loc=1, borderpad=0)
axins.axis('off')
axins.margins(0, 0)
axins.xaxis.set_ticks_position('bottom')
axins.yaxis.set_ticks_position('left')
axins.set_xlim(xmin, xmax)
axins.set_ylim(ymin, ymax)
# 画图例
if legend.islegendpic:
# 插入图片
arr_lena = read_png(legend.legendpic)
image_box = OffsetImage(arr_lena, zoom=legend.legendopacity)
ab = AnnotationBbox(image_box, legend.legendpos, frameon=False)
plt.gca().add_artist(ab)
else:
fmt = None
CB = plt.colorbar(
CS,
cmap='RdBu',
anchor=tuple(legend.anchor),
shrink=legend.shrink,
# ticks=ticks,
# fraction=0.15, # products.fraction,
drawedges=True, # not products.micapslegendvalue,
filled=False,
spacing='uniform',
use_gridspec=False,
orientation=legend.orientation,
# extendfrac='auto',
format=fmt)
else:
CB = m.colorbar(CS, location=legend.location, size=legend.size, pad=legend.pad)
if CB is not None:
fp = Map.GetFontProperties(legend.font)
fp_title = Map.GetFontProperties(legend.titlefont)
CB.set_label(legend.title, fontproperties=fp_title, color=legend.titlefont['color'])
ylab = CB.ax.yaxis.get_label()
ylab.set_rotation(legend.titlepos['rotation'])
ylab.set_va(legend.titlepos['va'])
ylab.set_ha(legend.titlepos['ha'])
ylab.set_y(legend.titlepos['ypercent'])
if not legend.micapslegendvalue and legend.legendvaluealias:
legendvalue = [v for i, v in enumerate(legend.legendvalue) if i % legend.thinning == 0]
legendvaluealias = [v for i, v in enumerate(legend.legendvaluealias) if i % legend.thinning == 0]
CB.set_ticks(legendvalue, update_ticks=True)
CB.set_ticklabels(legendvaluealias, update_ticks=True)
CB.ax.tick_params(axis='y', direction='in', length=0)
for label in CB.ax.xaxis.get_ticklabels() + CB.ax.yaxis.get_ticklabels():
label.set_color(legend.font['color'])
label.set_fontproperties(fp)
@staticmethod
def DrawContourAndMark(contour, x, y, z, level, clipborder, patch, m):
# 是否绘制等值线 ------ 等值线和标注是一体的
if contour.contour['visible']:
matplotlib.rcParams['contour.negative_linestyle'] = 'dashed'
if contour.contour['colorline']:
CS1 = m.contour(x, y, z, levels=level, linewidths=contour.contour['linewidth'])
else:
CS1 = m.contour(x,
y,
z,
levels=level,
linewidths=contour.contour['linewidth'],
colors=contour.contour['linecolor'])
# 是否绘制等值线标注
CS2 = None
if contour.contourlabel['visible']:
CS2 = plt.clabel(CS1,
inline=1,
fmt=contour.contourlabel['fmt'],
inline_spacing=contour.contourlabel['inlinespacing'],
fontsize=contour.contourlabel['fontsize'],
colors=contour.contourlabel['fontcolor'])
# 用区域边界裁切等值线图
if clipborder.path is not None and clipborder.using:
for collection in CS1.collections:
# collection.set_clip_on(True)
collection.set_clip_path(patch)
if CS2 is not None:
for text in CS2:
if not clipborder.path.contains_point(text.get_position()):
text.remove()
@staticmethod
def DrawClipBorders(clipborders):
# 绘制裁切区域边界并返回
path = clipborders[0].path
linewidth = clipborders[0].linewidth
linecolor = clipborders[0].linecolor
if path is not None:
patch = patches.PathPatch(path, linewidth=linewidth, facecolor='none', edgecolor=linecolor)
plt.gca().add_patch(patch)
else:
patch = None
return patch
@staticmethod
def DrawBorders(m, products):
"""
画县市边界
:param m: 画布对象（plt或投影后的plt)
:param products: 产品参数
:return:
"""
try:
for area in products.map.borders:
if not area.draw:
continue
if area.filetype == 'SHP': # shp文件
if m is plt:
# Map.DrawShapeFile(area)
Map.readshapefile(area.file.replace('.shp', ''),
os.path.basename(area.file),
color=area.linecolor,
linewidth=area.linewidth)
else:
m.readshapefile(area.file.replace('.shp', ''),
os.path.basename(area.file),
color=area.linecolor)
else: # 文本文件 , 画之前 路径中的点已经被投影了
if area.path is None:
continue
if area.polygon == 'ON':
area_patch = patches.PathPatch(area.path,
linewidth=area.linewidth,
linestyle='solid',
facecolor='none',
edgecolor=area.linecolor)
plt.gca().add_patch(area_patch)
else:
x, y = list(zip(*area.path.vertices))
m.plot(x, y, 'k-', linewidth=area.linewidth, color=area.linecolor)
except Exception as err:
print(u'【{0}】{1}-{2}'.format(products.xmlfile, err, datetime.now()))
@staticmethod
def DrawShapeFile(area):
"""
在画布上绘制shp文件
:param area: 包含shp文件名及线宽和线颜色的一个字典
:return:
"""
try:
shpfile = area.file
border_shape = shapefile.Reader(shpfile)
border = border_shape.shapes()
for b in border:
border_points = b.points
path_data = []
count = 0
for cell in border_points:
if count == 0:
trans = (Path.MOVETO, (cell[0], cell[1]))
path_data += [trans]
cell_end = cell
else:
trans = (Path.CURVE4, (cell[0], cell[1]))
path_data += [trans]
trans = (Path.CLOSEPOLY, (cell_end[0], cell_end[1]))
path_data += [trans]
codes, verts = list(zip(*path_data))
path = Path(verts, codes)
x, y = list(zip(*path.vertices))
plt.plot(x, y, 'k-', linewidth=area.linewidth, color=area.linecolor)
except Exception as err:
print(u'【{0}】{1}-{2}'.format(area['file'], err, datetime.now()))
@staticmethod
def DrawWorld(products, m):
pj = products.map.projection
if pj.coastlines:
m.drawcoastlines(linewidth=0.25)
if pj.countries:
m.drawcountries(linewidth=0.25)
if pj.lsmask['visible']:
m.drawlsmask(land_color=pj.lsmask['land_color'], ocean_color=pj.lsmask['ocean_color'], resolution='l')
@staticmethod
def DrawGridLine(products, m):
pj = products.map.projection
if m is plt:
# 坐标轴
plt.axis(pj.axis)
# 设置坐标轴刻度值显示格式
if pj.axis == 'on':
x_majorFormatter = FormatStrFormatter(pj.axisfmt[0])
y_majorFormatter = FormatStrFormatter(pj.axisfmt[1])
plt.gca().xaxis.set_major_formatter(x_majorFormatter)
plt.gca().yaxis.set_major_formatter(y_majorFormatter)
xaxis = plt.gca().xaxis
for label in xaxis.get_ticklabels():
label.set_fontproperties('DejaVu Sans')
label.set_fontsize(10)
yaxis = plt.gca().yaxis
for label in yaxis.get_ticklabels():
label.set_fontproperties('DejaVu Sans')
label.set_fontsize(10)
xaxis.set_visible(pj.lonlabels[3] == 1)
yaxis.set_visible(pj.latlabels[0] == 1)
return
else:
# draw parallels and meridians.
if pj.axis == 'on':
m.drawparallels(np.arange(-80., 81., 10.), labels=pj.latlabels, family='DejaVu Sans', fontsize=10)
m.drawmeridians(np.arange(-180., 181., 10.), labels=pj.lonlabels, family='DejaVu Sans', fontsize=10)
@staticmethod
def GetFontProperties(font):
fontfile = r"C:\WINDOWS\Fonts\{0}".format(font['family'])
if not os.path.exists(fontfile):
fp = FontProperties(family=font['family'], weight=font['weight'], size=font['size'])
else:
fp = FontProperties(fname=fontfile, weight=font['weight'], size=font['size'])
return fp
@staticmethod
def readshapefile(shapefile,
name,
is_web_merc=False,
drawbounds=True,
zorder=None,
linewidth=0.5,
linestyle=(0, ()),
color='k',
antialiased=1,
ax=None,
default_encoding='utf-8'):
"""
Read in shape file, optionally draw boundaries on map.
.. note::
- Assumes shapes are 2D
- only works for Point, MultiPoint, Polyline and Polygon shapes.
- vertices/points must be in geographic (lat/lon) coordinates.
Mandatory Arguments:
.. tabularcolumns:: |l|L|
============== ====================================================
Argument Description
============== ====================================================
shapefile path to shapefile components. Example:
shapefile='/home/jeff/esri/world_borders' assumes
that world_borders.shp, world_borders.shx and
world_borders.dbf live in /home/jeff/esri.
name name for Basemap attribute to hold the shapefile
vertices or points in map projection
coordinates. Class attribute name+'_info' is a list
of dictionaries, one for each shape, containing
attributes of each shape from dbf file, For
example, if name='counties', self.counties
will be a list of x,y vertices for each shape in
map projection coordinates and self.counties_info
will be a list of dictionaries with shape
attributes. Rings in individual Polygon
shapes are split out into separate polygons, and
additional keys 'RINGNUM' and 'SHAPENUM' are added
to the shape attribute dictionary.
============== ====================================================
The following optional keyword arguments are only relevant for Polyline
and Polygon shape types, for Point and MultiPoint shapes they are
ignored.
.. tabularcolumns:: |l|L|
============== ====================================================
Keyword Description
============== ====================================================
drawbounds draw boundaries of shapes (default True).
zorder shape boundary zorder (if not specified,
default for mathplotlib.lines.LineCollection
is used).
linewidth shape boundary line width (default 0.5)
color shape boundary line color (default black)
antialiased antialiasing switch for shape boundaries
(default True).
ax axes instance (overrides default axes instance)
============== ====================================================
A tuple (num_shapes, type, min, max) containing shape file info
is returned.
num_shapes is the number of shapes, type is the type code (one of
the SHPT* constants defined in the shapelib module, see
http://shapelib.maptools.org/shp_api.html) and min and
max are 4-element lists with the minimum and maximum values of the
vertices. If ``drawbounds=True`` a
matplotlib.patches.LineCollection object is appended to the tuple.
"""
import shapefile as shp
from shapefile import Reader
shp.default_encoding = default_encoding
if not os.path.exists('%s.shp' % shapefile):
raise IOError('cannot locate %s.shp' % shapefile)
if not os.path.exists('%s.shx' % shapefile):
raise IOError('cannot locate %s.shx' % shapefile)
if not os.path.exists('%s.dbf' % shapefile):
raise IOError('cannot locate %s.dbf' % shapefile)
# open shapefile, read vertices for each object, convert
# to map projection coordinates (only works for 2D shape types).
try:
shf = Reader(shapefile)
except:
raise IOError('error reading shapefile %s.shp' % shapefile)
fields = shf.fields
coords = []
attributes = []
msg = dedent("""
shapefile must have lat/lon vertices - it looks like this one has vertices
in map projection coordinates. You can convert the shapefile to geographic
coordinates using the shpproj utility from the shapelib tools
(http://shapelib.maptools.org/shapelib-tools.html)""")
shapes = shf.shapes()
if len(shapes) == 0:
raise IndexError('%s shapes is null' % shapefile)
shptype = shapes[0].shapeType
bbox = shf.bbox.tolist()
info = dict()
info['info'] = (shf.numRecords, shptype, bbox[0:2] + [0., 0.], bbox[2:] + [0., 0.])
npoly = 0
for shprec in shf.shapeRecords():
shp = shprec.shape
rec = shprec.record
npoly = npoly + 1
if shptype != shp.shapeType:
raise ValueError('readshapefile can only handle a single shape type per file')
if shptype not in [1, 3, 5, 8]:
raise ValueError('readshapefile can only handle 2D shape types')
verts = shp.points
if shptype in [1, 8]: # a Point or MultiPoint shape.
lons, lats = list(zip(*verts))
if max(lons) > 721. or min(lons) < -721. or max(lats) > 90.01 or min(lats) < -90.01:
raise ValueError(msg)
# if latitude is slightly greater than 90, truncate to 90
lats = [max(min(lat, 90.0), -90.0) for lat in lats]
if len(verts) > 1: # MultiPoint
if is_web_merc:
# x, y = Projection.ToMerc(lons, lats)
pass
else:
x, y = lons, lats
coords.append(list(zip(x, y)))
else: # single Point
if is_web_merc:
pass
# x, y = Projection.ToMerc(lons[0], lats[0])
else:
x, y = lons[0], lats[0]
coords.append((x, y))
attdict = {}
for r, key in zip(rec, fields[1:]):
attdict[key[0]] = r
attributes.append(attdict)
else: # a Polyline or Polygon shape.
parts = shp.parts.tolist()
ringnum = 0
for indx1, indx2 in zip(parts, parts[1:] + [len(verts)]):
ringnum = ringnum + 1
lons, lats = list(zip(*verts[indx1:indx2]))
if max(lons) > 721. or min(lons) < -721. or max(lats) > 90.01 or min(lats) < -90.01:
raise ValueError(msg)
# if latitude is slightly greater than 90, truncate to 90
lats = [max(min(lat, 90.0), -90.0) for lat in lats]
if is_web_merc:
# x, y = Projection.ToMerc(lons, lats)
pass
else:
x, y = lons, lats
coords.append(list(zip(x, y)))
attdict = {}
for r, key in zip(rec, fields[1:]):
attdict[key[0]] = r
# add information about ring number to dictionary.
attdict['RINGNUM'] = ringnum
attdict['SHAPENUM'] = npoly
attributes.append(attdict)
# draw shape boundaries for polylines, polygons using LineCollection.
if shptype not in [1, 8] and drawbounds:
# get current axes instance (if none specified).
import matplotlib.pyplot as plt
ax = ax or plt.gca()
# make LineCollections for each polygon.
lines = LineCollection(coords, antialiaseds=(antialiased, ))
lines.set_color(color)
lines.set_linewidth(linewidth)
lines.set_linestyle(linestyle)
lines.set_label('_nolabel_')
if zorder is not None:
lines.set_zorder(zorder)
ax.add_collection(lines)
# set axes limits to fit map region.
# self.set_axes_limits(ax=ax)
# # clip boundaries to map limbs
# lines,c = self._cliplimb(ax,lines)
# info = info + (lines,)
info['lines'] = lines
info[name] = coords
info[name + '_info'] = attributes
return info
