Commit @5e6bd4e50dd6d4bb050976a59339fe5b2137278c - yjyoon/Choropleth_Chart

윤영준 2023-06-14

font_names.py is from stack overflow, thus moved to seperate folder with license compliance. DO NOT MIX IT UP.

@5e6bd4e50dd6d4bb050976a59339fe5b2137278c

8999dd0

5e6bd4e

choropleth.py

--- choropleth.py

+++ choropleth.py


 
     if show_legend:
         if adaptive_legend_font_size:
-            print("hello")
             annotation_text_size = np.multiply(lecc_dist, geo_annot_scale)
             fig.add_trace(
                 go.Scattergeo(

         # slicing static image because there is no way to adjust geojson object there.
         img = plotly_fig2array(fig, scale)
         img = img[:, 460*scale : 1500*scale]
-        p = f"figure{sep}{save_dir}.png"
+        p = f"{save_dir}"
         cv2.imwrite(p, cv2.cvtColor(img, cv2.COLOR_RGB2BGR))
         fig.update_layout(
             title=dict(

8999dd0

5e6bd4e

example.py

--- example.py

+++ example.py


 
 cdf = df.iloc[:,1]
 cdf += df.iloc[:,3]
-choropleth_chart(shp, cdf, '2022 영천시 1인가구중 중년이상비율', f"1인가구 중년이상",
+choropleth_chart(shp, cdf, '2022 영천시 1인가구중 중년이상비율', f"output/1인가구 중년이상.png",
                  colorscheme=colorscale[::-1], adaptive_legend_font_size=True)

8999dd0

5e6bd4e

opensourcecode/font_names.py (Renamed from font_names.py)

--- font_names.py

+++ opensourcecode/font_names.py

...	...	@@ -1,3 +1,6 @@
	1	+# source : https://stackoverflow.com/questions/75310650/how-to-get-font-path-from-font-name-python
	2	+# author : Mark Setchell
	3	+# this code is CC-BY-SA, in other words, do not mix this up with any other code.
1	4	import matplotlib.font_manager
2	5	from PIL import ImageFont
3	6

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...	...	@@ -194,7 +194,6 @@
194	194
195	195	if show_legend:
196	196	if adaptive_legend_font_size:
197		- print("hello")
198	197	annotation_text_size = np.multiply(lecc_dist, geo_annot_scale)
199	198	fig.add_trace(
200	199	go.Scattergeo(
...	...	@@ -294,7 +293,7 @@
294	293	# slicing static image because there is no way to adjust geojson object there.
295	294	img = plotly_fig2array(fig, scale)
296	295	img = img[:, 460scale : 1500scale]
297		- p = f"figure{sep}{save_dir}.png"
	296	+ p = f"{save_dir}"
298	297	cv2.imwrite(p, cv2.cvtColor(img, cv2.COLOR_RGB2BGR))
299	298	fig.update_layout(
300	299	title=dict(

...	...	@@ -19,5 +19,5 @@
19	19
20	20	cdf = df.iloc[:,1]
21	21	cdf += df.iloc[:,3]
22		-choropleth_chart(shp, cdf, '2022 영천시 1인가구중 중년이상비율', f"1인가구 중년이상",
	22	+choropleth_chart(shp, cdf, '2022 영천시 1인가구중 중년이상비율', f"output/1인가구 중년이상.png",
23	23	colorscheme=colorscale[::-1], adaptive_legend_font_size=True) (No newline at end of file)

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