我在Python中使用Basemap绘制了一系列纬度 - 经度对。示例图片为:
我需要在点上点击(或悬停)鼠标时显示地点的名称。我的电台名称包含纬度 - 经度对的文件。
首先,如何在Basemap中创建悬停功能(或更好的东西)? 其次,如何在悬停点时将文本添加为标签?
这是我到目前为止所拥有的:
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Xml;
using System.Xml.Linq;
namespace ConsoleApplication1
{
class Program
{
const string FILENAME = @"c:\temp\test.xml";
static void Main(string[] args)
{
XDocument doc = XDocument.Load(FILENAME);
XElement results = doc.Descendants().Where(x => x.Name.LocalName == "Results").FirstOrDefault();
XNamespace nsC = results.GetNamespaceOfPrefix("c");
Dictionary<string, List<string>> dict = results.Descendants(nsC + "KeyValueOfstringstring")
.GroupBy(x => (string)x.Element(nsC + "Key"), y => (string)y.Element(nsC + "Value"))
.ToDictionary(x => x.Key, y => y.ToList());
}
}
}
答案 0 :(得分:2)
手头的问题可以通过matplotlib event handling,annotations和(对于数字大小独立标记选择)transformations来解决。下面是一个示例,只要鼠标指针移动到其中一个蓝色标记之上,就会显示标签。由于标记大小以点(一点是1/72英寸)给出,我将数据坐标转换为图形坐标,遵循matplotlib transformation tutorial中的阴影效果变换。希望这会有所帮助。
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import math
# latitude, longitude and station names are as headers rows(rows starting with "#", in plot_file.txt.
# read all the lines and make lists for latitude and longitude
##inputfile = open('data-por-IN/plot_file.txt', 'r')
##for i, line in enumerate(inputfile):
## if line.startswith('#'):
## lattd.append(int(line[56:62])/10000)
## lngtd.append(int(line[65:71])/10000)
##fake coordinates and labels
lattd, lngtd, labels = zip(*[
(20.6, 79.0, 'point 1'),
(21.3, 77.5, 'point 2'),
(13.0, 77.6, 'point 3'),
])
##a list for keeping track of all annotations
annotations = [None for label in labels]
##defining size of markers:
markersize = 5
markersize_inches = markersize/72.
##setting up figure
fig, ax = plt.subplots()
m = Basemap(
width=4000000,height=4000000,projection='lcc',
resolution='c',lat_1=45.,lat_2=55,lat_0=20,lon_0=80.,
ax = ax,
)
m.drawcountries()
m.drawcoastlines(linewidth=0.50)
m.bluemarble()
##data coordinates
xdata, ydata = zip(*[m(lon,lat) for lon,lat in zip(lngtd,lattd)])
ax.plot(xdata,ydata,'bo', mec='k', ms = markersize)
##figure coordinates in inches
trans = ax.transData+fig.dpi_scale_trans.inverted()
##function for checking mouse coordinates and annotating
def on_move(event):
if event.inaxes:
x0, y0 = trans.transform((event.xdata, event.ydata))
xfig, yfig = zip(*[trans.transform((x,y)) for x,y in zip(xdata,ydata)])
dists = [math.sqrt((x-x0)**2+(y-y0)**2) for x,y in zip(xfig, yfig)]
for n,(x,y,dist,label) in enumerate(zip(xdata,ydata,dists, labels)):
if dist < markersize_inches and annotations[n] is None:
annotations[n]=ax.annotate(
label,
[x,y], xycoords='data',
xytext = (10,10), textcoords='offset points',
ha='left', va='center',
bbox=dict(facecolor='white', edgecolor='black', boxstyle='round'),
zorder=10,
)
fig.canvas.draw()
elif dist > markersize_inches and annotations[n] is not None:
annotations[n].remove()
annotations[n] = None
fig.canvas.draw()
##connecting the event handler
cid = fig.canvas.mpl_connect('motion_notify_event', on_move)
plt.show()