smopy's Introduction

Smopy

New: you may be interested in Folium for interactive maps with Leaflet.js

Give a box in geographical coordinates (latitude/longitude) and a zoom level, Smopy returns an OpenStreetMap tile image!

import smopy

BBox =(42., -1., 55., 3.)

map = smopy.Map((BBox[0], BBox[1], BBox[2], BBox[3]), z=4)
map.show_ipython()

You can also import the map in matplotlib and convert from geographical coordinates to pixels easily.

x, y = map.to_pixels(48.86151, 2.33474)
ax = map.show_mpl(figsize=(8, 6))
ax.plot(x, y, 'or', ms=10, mew=2);

Alternative OSM tile servers can be used as well. An example is in the example notebook.

See the example notebook

You can get Lat, Long axis.

import matplotlib.pyplot as plt
import numpy as np

xsteps=4
ysteps=4
x, y = map.to_pixels(48.86151, 2.33474)

fig, ax= plt.subplots(figsize=(8,6))
map.show_mpl(ax =ax,)
ax.plot(x, y, 'or', ms=10, mew=2);

#get coordinates to img coorners
BBox=list(map.to_coords(0,0)+map.to_coords(map.w-1,map.h-1))

plt.yticks(np.linspace(0,map.h-1,ysteps,endpoint=True),np.around(np.linspace(BBox[0],BBox[2],ysteps,endpoint=True),decimals=4));
plt.xticks(np.linspace(0,map.w-1,xsteps,endpoint=True),np.around(np.linspace(BBox[1],BBox[3],xsteps,endpoint=True),decimals=4));

Installation

Smopy currently requires:

Pillow
NumPy
matplotlib
IPython

To install, pip install git+https://github.com/Simon-Liebig/smopy.git or:

git clone git@github.com/Simon-Liebig/smopy.git
cd smopy
python setup.py develop

Terms of use

This module fetches image maps from OpenStreetMap's servers. See the usage policy. In particular, be careful not to retrieve large maps as this can overload the servers.

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