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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,33 +1,33 @@ | ||
| Q: It takes a long time to make a plot with the 'intermediate' or 'high' | ||
| Q: It takes a long time to make a plot with the 'intermediate' or 'high' | ||
| resolution coastlines, how can I speed it up? | ||
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| A: There is a overhead in processing boundary datasets when a Basemap | ||
| class in created, and this overhead can be significant for the higher | ||
| resolution boundaries. If you are makeing many maps for the same region, | ||
| you only need to create you Basemap class instance once, then re-use it | ||
| for each plot. If the plots are being created by different scripts, you | ||
| can save the Basemap class instance to a Pickle on disk, then read it in | ||
| whatever script needs it (it's much faster to read a pickle from disk than | ||
| it is to create the Basemap instance originally). The ireland.py example | ||
| A: There is a overhead in processing boundary datasets when a Basemap | ||
| class in created, and this overhead can be significant for the higher | ||
| resolution boundaries. If you are makeing many maps for the same region, | ||
| you only need to create you Basemap class instance once, then re-use it | ||
| for each plot. If the plots are being created by different scripts, you | ||
| can save the Basemap class instance to a Pickle on disk, then read it in | ||
| whatever script needs it (it's much faster to read a pickle from disk than | ||
| it is to create the Basemap instance originally). The hires.py example | ||
| illustrates how to do this. | ||
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| Q: I have my own boundary dataset that I would like to use, how do I use | ||
| Q: I have my own boundary dataset that I would like to use, how do I use | ||
| it in place of (or in addition to) the built-in basemap boundary datasets? | ||
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| A: If your dataset is in ESRI shapefile format, this is relatively easy. | ||
| Just create your Basemap class instance, then call the 'readshapefile' | ||
| method on that instance to import your data. Setting 'drawbounds=True' | ||
| will draw the boundaries in the shapefile. The fillstates.py example | ||
| A: If your dataset is in ESRI shapefile format, this is relatively easy. | ||
| Just create your Basemap class instance, then call the 'readshapefile' | ||
| method on that instance to import your data. Setting 'drawbounds=True' | ||
| will draw the boundaries in the shapefile. The fillstates.py example | ||
| shows how to do this. | ||
|
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||
| Q: How do I specify the map projection region if I don't know what the | ||
| Q: How do I specify the map projection region if I don't know what the | ||
| latitude and longitudes of the corners are? | ||
|
|
||
| A: As an alternative to specifying the lat/lon values for the upper-right | ||
| and lower-left corners of the projection domain (using the llcrnrlat, | ||
| llcrnrlon, urcrnrlat and urcrnrlon keywords) you can specify the center of | ||
| the map projection domain (using the lat_0 and lon_0 keywords) and the | ||
| width and height of the domain in map projection coordinates (meters) | ||
| using the width and height keywords. Basemap will then calculate the | ||
| corresponging values of llcrnrlat, llcrnrlon, urcrnrlat and urcrnrlon. | ||
| A: As an alternative to specifying the lat/lon values for the upper-right | ||
| and lower-left corners of the projection domain (using the llcrnrlat, | ||
| llcrnrlon, urcrnrlat and urcrnrlon keywords) you can specify the center of | ||
| the map projection domain (using the lat_0 and lon_0 keywords) and the | ||
| width and height of the domain in map projection coordinates (meters) | ||
| using the width and height keywords. Basemap will then calculate the | ||
| corresponging values of llcrnrlat, llcrnrlon, urcrnrlat and urcrnrlon. | ||
| Examples of this are given in the garp.py and setwh.py examples. |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,49 +1,51 @@ | ||
| from __future__ import (absolute_import, division, print_function) | ||
| from __future__ import print_function | ||
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||
| import time | ||
| import pickle | ||
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||
| from mpl_toolkits.basemap import Basemap | ||
| import numpy as np | ||
| import matplotlib.pyplot as plt | ||
| import pickle, time | ||
| from mpl_toolkits.basemap import Basemap | ||
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||
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| # create figure with aqua background (will be oceans) | ||
| # Create figure. | ||
| fig = plt.figure() | ||
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||
| # create Basemap instance. Use 'high' resolution coastlines. | ||
| t1 = time.clock() | ||
| #m = Basemap(llcrnrlon=-10.5,llcrnrlat=49.5,urcrnrlon=3.5,urcrnrlat=59.5, | ||
| # resolution='h',projection='tmerc',lon_0=-4,lat_0=0) | ||
| m = Basemap(width=920000,height=1100000, | ||
| resolution='f',projection='tmerc',lon_0=-4.2,lat_0=54.6) | ||
| # make sure countries and rivers are loaded | ||
| m.drawcountries() | ||
| m.drawrivers() | ||
| print(time.clock()-t1,' secs to create original Basemap instance') | ||
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||
| # pickle the class instance. | ||
| pickle.dump(m,open('map.pickle','wb'),-1) | ||
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| # clear the figure | ||
| # Create Basemap instance: | ||
| # - Use 'full' resolution coastlines. | ||
| # - Make sure that countries and rivers are loaded. | ||
| t0 = time.time() | ||
| bmap1 = Basemap(width=920000, height=1100000, resolution="f", | ||
| projection="tmerc", lon_0=-4.2, lat_0=54.6) | ||
| bmap1.drawcountries() | ||
| bmap1.drawrivers() | ||
| t1 = time.time() | ||
| print("{0:.3f} secs to plot with a Basemap instance created at runtime".format(t1 - t0)) | ||
|
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||
| # Clear the figure. | ||
| plt.clf() | ||
| # read pickle back in and plot it again (should be much faster). | ||
| t1 = time.clock() | ||
| m2 = pickle.load(open('map.pickle','rb')) | ||
| # draw coastlines and fill continents. | ||
| m.drawcoastlines() | ||
| # fill continents and lakes | ||
| m.fillcontinents(color='coral',lake_color='aqua') | ||
| # draw political boundaries. | ||
| m.drawcountries(linewidth=1) | ||
| # fill map projection region light blue (this will | ||
| # paint ocean areas same color as lakes). | ||
| m.drawmapboundary(fill_color='aqua') | ||
| # draw major rivers. | ||
| m.drawrivers(color='b') | ||
| print(time.clock()-t1,' secs to plot using using a pickled Basemap instance') | ||
| # draw parallels | ||
| circles = np.arange(48,65,2).tolist() | ||
| m.drawparallels(circles,labels=[1,1,0,0]) | ||
| # draw meridians | ||
| meridians = np.arange(-12,13,2) | ||
| m.drawmeridians(meridians,labels=[0,0,1,1]) | ||
| plt.title("High-Res British Isles",y=1.04) | ||
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| # Pickle the class instance. | ||
| with open("map.pickle", "wb") as fd: | ||
| pickle.dump(bmap1, fd, protocol=-1) | ||
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| # Read pickle back in and plot it again (should be much faster): | ||
| # - Draw coastlines and fill continents and lakes. | ||
| # - Draw political boundaries and rivers. | ||
| # - Draw parallels and meridians. | ||
| # - Draw map boundary and fill map background. | ||
| t0 = time.time() | ||
| with open("map.pickle", "rb") as fd: | ||
| bmap2 = pickle.load(fd) | ||
| bmap2.drawcoastlines() | ||
| bmap2.fillcontinents(color="coral", lake_color="aqua") | ||
| bmap2.drawcountries(linewidth=1) | ||
| bmap2.drawrivers(color="b") | ||
| bmap2.drawparallels(np.arange(48, 65, 2), labels=[1, 1, 0, 0]) | ||
| bmap2.drawmeridians(np.arange(-12, 13, 2), labels=[0, 0, 1, 1]) | ||
| bmap2.drawmapboundary(fill_color="aqua") | ||
| t1 = time.time() | ||
| print("{0:.3f} secs to plot with a pickled Basemap instance".format(t1 - t0)) | ||
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| plt.title("High-Res British Isles", y=1.04) | ||
| plt.show() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
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@@ -172,7 +172,7 @@ def run(self): | |
| "name": | ||
| "basemap", | ||
| "version": | ||
| "1.3.8", | ||
| "1.3.9", | ||
| "license": | ||
| "MIT", | ||
| "description": | ||
|
|
||
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