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from PIL import Image from PIL import ImageDraw # open basemap image file basemap = Image.open(basemap_path).convert('RGBA) # resize to desired map size basemap.thumbnail(width, height, Image.LANCZOS) # get proportional height width_bmp, height_bmp = basemap.size # create background frame and paste basemap on it img=Image.new('RGB',(width, height), color = '#000000') img.paste(basemap, (0,0), basemap) draw = ImageDraw.Draw(img, 'RGBA') width_scale = width/360 height_scale = height_bmp/180 # usgs data has been parsed into a list for quake in earthquake_list: lon = float(quake["longitude"]) lat = float(quake["latitude"]) mag = float(quake["mag"]) # want to use pyproj to translate coordinates here instead of the following cx = lon * width_scale cy = lat * height_scale r = scaleRadius(mag) # draw earthquake circles draw.ellipse((cx-r, cy-r, cx+r, cy+r), fill = colormap(mag)) draw = ImageDraw.Draw(img) img.save(filepath, quality=100) 

And here is the resulting drawing. I'm assuming the centerpoints for the circles marking earthquakes are off, because I am using Cartesian coordinates for lon, lat, but the basemap was created with a projection and thus a distortion from x, y Cartesian coordinates.

from PIL import Image from PIL import ImageDraw # open basemap image file basemap = Image.open(basemap_path).convert('RGBA) # resize to desired map size basemap.thumbnail(width, height, Image.LANCZOS) # get proportional height width_bmp, height_bmp = basemap.size # create background frame and paste basemap on it img=Image.new('RGB',(width, height), color = '#000000') img.paste(basemap, (0,0), basemap) draw = ImageDraw.Draw(img, 'RGBA') width_scale = width/360 height_scale = height_bmp/180 # usgs data has been parsed into a list for quake in earthquake_list: lon = float(quake["longitude"]) lat = float(quake["latitude"]) mag = float(quake["mag"]) # want to use pyproj to translate coordinates here instead of the following cx = (lon + 180) * width_scale cy = (90-lat) * height_scale r = scaleRadius(mag) # draw earthquake circles draw.ellipse((cx-r, cy-r, cx+r, cy+r), fill = colormap(mag)) draw = ImageDraw.Draw(img) img.save(filepath, quality=100) 

And here is the resulting drawing. I'm assuming the centerpoints for the circles marking earthquakes are off, because I am using Cartesian coordinates for lon, lat, but the basemap was created with a projection and thus must have a distortion from x, y Cartesian coordinates.

And here is the resulting drawing. I'm assuming the centerpoints for the circles marking earthquakes are off, because I am using Cartesian coordinates for lon, lat, but the basemap was created with a projection and thus a distortion from x, y Cartesian coordinates.

Also, I realize I need to put my legend on a logarithmic scale. Haven't gotten to that yet.

I'm trying to work out the details of using pyproj to translate the lat lon coordinates from the USGS Earthquake feed to xy coordinates corresponding to those positions on a basemap of a determined width and height and origin at the upper left. My code so far naively uses PIL/pillow to translate lon lat to xy positions and draw circles without taking into account the EPSG:4326 projection of the basemap:

from PIL import Image from PIL import ImageDraw # open basemap image file basemap = Image.open(basemap_path).convert('RGBA) # resize to desired map size basemap.thumbnail(width, height, Image.LANCZOS) # get proportional height width_bmp, height_bmp = basemap.size # create background frame and paste basemap on it img=Image.new('RGB',(width, height), color = '#000000') img.paste(basemap, (0,0), basemap) draw = ImageDraw.Draw(img, 'RGBA') width_scale = width/360 height_scale = height_bmp/180 # usgs data has been parsed into a list for quake in earthquake_list: lon = float(quake["longitude"]) lat = float(quake["latitude"]) mag = float(quake["mag"]) # want to use pyproj to translate coordinates here instead of the following cx = lon * width_scale cy = lat * height_scale r = scaleRadius(mag) # draw earthquake circles draw.ellipse((cx-r, cy-r, cx+r, cy+r), fill = colormap(mag)) draw = ImageDraw.Draw(img) img.save(filepath, quality=100) 

I've gone through the documentation and have a general sense that I would use something like:

cx, cy = pyproj.transform("EPSG:4326", "xy", lon, lat) 

with some width and height dimensions. Running the line above gives the error:

TypeError: p1 must be a Proj class 

Update I do get values for:

p = Proj(proj = 'longlat', ellps='WGS84') cx,cy = p(lon, lat) 

In this case a (lon, lat) input of (-110, 39) gives the output 1.923, 0.688 which isn't right. What I need is a projection function that takes the lon, lat and the width and height of the image and outputs the x, y coordinates. I would write this on my own, but I can't find a suitable equation for that conversion and was hoping to find this capability in proj.

I'm trying to work out the details of using pyproj to translate the lat lon coordinates from the USGS Earthquake feed to xy coordinates corresponding to those positions on a basemap of a determined width and height and origin at the upper left. My code so far naively uses PIL/pillow to translate lon lat to xy positions and draw circles without taking into account the EPSG:4326 projection of the basemap:

from PIL import Image from PIL import ImageDraw # open basemap image file basemap = Image.open(basemap_path).convert('RGBA) # resize to desired map size basemap.thumbnail(width, height, Image.LANCZOS) # get proportional height width_bmp, height_bmp = basemap.size # create background frame and paste basemap on it img=Image.new('RGB',(width, height), color = '#000000') img.paste(basemap, (0,0), basemap) draw = ImageDraw.Draw(img, 'RGBA') width_scale = width/360 height_scale = height_bmp/180 # usgs data has been parsed into a list for quake in earthquake_list: lon = float(quake["longitude"]) lat = float(quake["latitude"]) mag = float(quake["mag"]) # want to use pyproj to translate coordinates here instead of the following cx = lon * width_scale cy = lat * height_scale r = scaleRadius(mag) # draw earthquake circles draw.ellipse((cx-r, cy-r, cx+r, cy+r), fill = colormap(mag)) draw = ImageDraw.Draw(img) img.save(filepath, quality=100) 

I've gone through the documentation and have a general sense that I would use something like:

cx, cy = pyproj.transform("EPSG:4326", "xy", lon, lat) 

with some width and height dimensions. Running the line above gives the error:

TypeError: p1 must be a Proj class 

Update I do get values for:

p = Proj(proj = 'longlat', ellps='WGS84') cx,cy = p(lon, lat) 

In this case a (lon, lat) input of (-110, 39) gives the output 1.923, 0.688 which isn't right. What I need is a projection function that takes the lon, lat and the width and height of the image and outputs the x, y coordinates. I would write this on my own, but I can't find a suitable equation for that conversion and was hoping to find this capability in proj.

UPDATE Here is the basemap I am using.