我正在嘗試為散景補(bǔ)丁圖添加一個(gè)圖例，但我最終只有一個(gè)圖例項(xiàng)（并且標(biāo)簽錯(cuò)誤）。我有一個(gè)多邊形的形狀文件。每個(gè)多邊形都有一個(gè)名為“類別”的屬性，它可以取值“A”、“B”、“C”、“D”和“E”。我將形狀文件轉(zhuǎn)換為 geojson 并隨后創(chuàng)建一個(gè)散景圖塊圖，使用 CategoricalColorMapper 根據(jù)它所在的“類別”為每個(gè)多邊形添加顏色。現(xiàn)在我希望圖例顯示五個(gè)類別選項(xiàng)及其各自的顏色。這是我的代碼：import geopandas as gpdfrom bokeh.io import show, output_notebook, output_file, export_pngfrom bokeh.models import GeoJSONDataSource, CategoricalColorMapper, Legend, LegendItemfrom bokeh.plotting import figure, reset_outputfrom bokeh.transform import factor_cmapimport seleniumimport numpy as npgdf = gpd.GeoDataFrame.from_file("test.shp")gdf_json = gdf.to_json()source_shape = GeoJSONDataSource(geojson=gdf_json)cmap = CategoricalColorMapper(palette=["black", "purple", "pink", "brown", "blue"], factors=['A','B','C','D', 'E'])p = figure(height=500, match_aspect=True, h_symmetry=False, v_symmetry=False, min_border=0)p.patches('xs', 'ys', source=source_shape, fill_color={'field': 'category', 'transform': cmap}, line_color='black', line_width=0.5, legend='category')export_png(p, filename="map.png")但是，我得到的輸出如下： map.png output圖例僅顯示一項(xiàng)，帶有標(biāo)簽“類別”而不是實(shí)際類別名稱。我該如何解決這個(gè)問題，以便圖例顯示所有 5 個(gè)類別及其標(biāo)簽（A、B、C、D、E）？
2 回答
呼啦一陣風(fēng)
TA貢獻(xiàn)1802條經(jīng)驗(yàn) 獲得超6個(gè)贊
這段代碼可以滿足您的要求，但是，我認(rèn)為GeoDataFrame直接操作而不是轉(zhuǎn)換為JSON. 此代碼與 Bokeh v1.0.4 兼容。
from bokeh.models import GeoJSONDataSource, CategoricalColorMapper
from bokeh.plotting import figure, show
from bokeh.io import export_png
import geopandas as gpd
import random
import json
gdf = gpd.GeoDataFrame.from_file("Judete/Judete.shp")
gdf_json = gdf.to_json()
gjson = json.loads(gdf_json)
categories = ['A', 'B', 'C', 'D', 'E']
for item in gjson['features']:
item['properties']['category'] = random.choice(categories)
source_shapes = {}
for category in categories:
source_shapes[category] = {"type": "FeatureCollection", "features": []}
for item in gjson['features']:
source_shapes[item['properties']['category']]['features'].append(item)
p = figure(match_aspect = True, min_border = 0,
h_symmetry = False, v_symmetry = False,
x_axis_location = None, y_axis_location = None)
cmap = CategoricalColorMapper(palette = ["orange", "purple", "pink", "brown", "blue"],
factors = ['A', 'B', 'C', 'D', 'E'])
for category in categories:
source_shape = GeoJSONDataSource(geojson = json.dumps(source_shapes[category]))
p.patches('xs', 'ys', fill_color = {'field': 'category', 'transform': cmap},
line_color = 'black', line_width = 0.5,
legend = category, source = source_shape,)
p.legend.click_policy = 'hide'
show(p) # export_png(p, filename = "map.png")
結(jié)果：
鴻蒙傳說
TA貢獻(xiàn)1865條經(jīng)驗(yàn) 獲得超7個(gè)贊
似乎圖例當(dāng)前不與 GeoJSONDataSource 一起使用，因?yàn)榇嬖谝粋€(gè)未解決的未解決問題Legend 不與 GeoJSONDataSource #5904 一起使用。
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