def create_three(): page = Page(page_title=TEST_PAGE_TITLE) # bar v1 = [5, 20, 36, 10, 75, 90] v2 = [10, 25, 8, 60, 20, 80] bar = Bar("柱状图数据堆叠示例") bar.add("商家A", CLOTHES, v1, is_stack=True) bar.add("商家B", CLOTHES, v2, is_stack=True) page.add(bar) # scatter3D import random data = [ [random.randint(0, 100), random.randint(0, 100), random.randint(0, 100)] for _ in range(80) ] scatter3d = Scatter3D("3D 散点图示例", width=1200, height=600) scatter3d.add("", data, is_visualmap=True, visual_range_color=RANGE_COLOR) page.add(scatter3d) # guangdong value = [20, 190, 253, 77, 65] attr = ['汕头市', '汕尾市', '揭阳市', '阳江市', '肇庆市'] map = Map("广东地图示例", width=1200, height=600) map.add("", attr, value, maptype='广东', is_visualmap=True, visual_text_color='#000') page.add(map) return page
def test_world_map(): value = [95.1, 23.2, 43.3, 66.4, 88.5, 0.1] attr = [ "China", "Canada", "Brazil", "Russia", "United States", "Unknown Country", ] map = Map("世界地图示例", width=1200, height=600) map.add( "", attr, value, maptype="world", is_visualmap=True, visual_text_color="#000", ) map.render() actual_content = get_default_rendering_file_content() # test register map assert 'registerMap("world",' in actual_content # test non-existent country assert "Russia" in actual_content assert "Unknown Country', " not in actual_content
def test_map_show_label(): # show label value = [155, 10, 66, 78] attr = ["福建", "山东", "北京", "上海"] map = Map("全国地图示例", width=1200, height=600) map.add("", attr, value, maptype='china', is_label_show=True) map.render()
def test_timeline_map(): timeline = Timeline(timeline_bottom=0) value = [155, 10, 66, 78, 33, 80, 190, 53, 49.6] attr = ["福建", "山东", "北京", "上海", "甘肃", "新疆", "河南", "广西", "西藏"] map = Map("Map 结合 VisualMap 示例", width=1200, height=600) map.add( "", attr, value, maptype="china", is_visualmap=True, visual_text_color="#000", visual_top="30%", ) timeline.add(map, "test1") value = [155, 10, 66, 78, 33] attr = ["福建", "山东", "北京", "上海", "甘肃"] map = Map("Map 结合 VisualMap 示例", width=1200, height=600) map.add( "", attr, value, maptype="china", is_visualmap=True, visual_text_color="#000", visual_top="30%", ) timeline.add(map, "test2") assert len(timeline.options.get("baseOption").get("series")) == 2 timeline.render()
def test_city_map(): value = [1] attr = ["渝水区"] map = Map("新余地图示例", width=1200, height=600) map.add("", attr, value, maptype='新余', is_visualmap=True, visual_text_color='#000') # To avoid potential pinyin crash, all cities have a province prefix assert "jiang1_xi1_xin1_yu2" in map._repr_html_()
def get_map(item_name,item_name_list,item_num_list): subtitle = "微信公众号:大数据前沿" _map = Map(item_name,width=1300,height= 800,title_pos='center',title_text_size=30,\ subtitle = subtitle,subtitle_text_size = 25) _map.add("", item_name_list, item_num_list, maptype='china', is_visualmap=True, visual_text_color='#000') out_file_name = './analyse/'+item_name+'.html' _map.render(out_file_name)
def map_demo1(): from pyecharts import Map districts = ['常平', '大朗','寮步', '厚街'] areas = [10, 20, 3, 11] map_1 = Map("东莞市图例-各区面积", width=1200, height=600) map_1.add("", districts, areas, maptype='东莞', is_visualmap=True, visual_range=[min(areas), max(areas)], visual_text_color='#000', is_map_symbol_show=False, is_label_show=True) map_1.render('map.html')
def test_map_combine_with_visualmap(): value = [155, 10, 66, 78, 33, 80, 190, 53, 49.6] attr = ["福建", "山东", "北京", "上海", "甘肃", "新疆", "河南", "广西", "西藏"] map = Map("Map 结合 VisualMap 示例", width=1200, height=600) map.add("", attr, value, maptype='china', is_visualmap=True, visual_text_color='#000') map.render()
def draw_area_map(): df=stock_info.read_stock_inoformation_csv() map_values= df.area.value_counts() map_=Map("stock",width=1200, height=600) map_.add("",map_values.index,map_values.values , maptype='china',is_visualmap=True,visual_text_color='#000') map_.on(events.MOUSE_CLICK, on_click) map_.render()
def map_demo(): '''地图实例''' value = [155, 10, 66, 78, 33, 80, 190, 53, 49.6] attr = ["福建", "山东", "北京", "上海", "甘肃", "新疆", "河南", "广西", "西藏"] map = Map("Map 结合 VisualMap 示例", width=1200, height=600) map.add("", attr, value, maptype='china', is_visualmap=True, visual_text_color='# 000') # map.show_config() map.render()
def test_echarts_position_in_render_html(): value = [20, 190, 253, 77, 65] attr = ['汕头市', '汕尾市', '揭阳市', '阳江市', '肇庆市'] map = Map("广东地图示例", width=1200, height=600, page_title=TITLE) map.add("", attr, value, maptype='广东', is_visualmap=True, visual_text_color='#000') map.render() with codecs.open('render.html', 'r', 'utf-8') as f: actual_content = f.read() assert TITLE in actual_content
def china_map(province, jobcount): provice = province values = jobcount map = Map("各省职位分布", width=1200, height=600) map.add("", provice, values, visual_range=[100, 8000], maptype='china', is_visualmap=True, visual_text_color='#000', is_map_simbol_show=False,is_label_show = False) map.show_config() render(map, "各省职位分布") return map
def paint_map_china(values, attrs): map0 = Map('中国各省疫情分布图', width=1200, height=600) map0.add('中国地图', attrs, values, maptype="china", visual_range=[0, 100], is_visualmap=True, visual_text_color='#000') map0.render(path='./国内今日数据/各省疫情分布图分布图.html')
def shangqiu_map(): # 区县 -- 具体城市内的区县 xx县 quxian = ['夏邑县', '民权县', '梁园区', '睢阳区', '柘城县', '宁陵县'] values3 = [3, 5, 7, 8, 2, 4] map3 = Map('商丘地图', '商丘', title_color="#fff", title_pos="center", width=1200, height=600, background_color='#404a59') map3.add('商丘', quxian, values3, visual_range=[1, 10], maptype='商丘', is_visualmap=True, is_label_show=True, visual_text_color='#000') map3.render(path='./data/商丘地图.html')
def analysis(friends): friends_info = get_friends_info(friends) # 性别图 sex_list = friends_info['sex'] from collections import Counter sex_dict = dict(Counter(sex_list)) attr = ['未知', '男性', '女性'] value = [sex_dict[0], sex_dict[1], sex_dict[2]] page = Page() chart1 = Pie("微信好友性别比例图", title_pos='center') chart1.add("", attr, value, is_label_show=True, legend_orient="vertical", legend_pos="left") page.add(chart1) # 省份图 province_list = friends_info['province'] print(province_list) province_dict = count_nums(province_list) attr, value = list(province_dict.keys()), list(province_dict.values()) chart2 = Map('好友省级分布(中国地图)', width=1200, height=600) chart2.add('', attr, value, maptype='china', is_label_show=True, is_visualmap=True, visual_text_color='#000') page.add(chart2) # 中国城市分析图 city_list = friends_info['city'] city_dict = count_nums(city_list) print('city------------') print(city_dict) top_ten_city = dict( sorted(city_dict.items(), key=lambda x: x[1], reverse=True)[0:10]) print('---------------') print(top_ten_city) print('---------------') attr, value = list(top_ten_city.keys()), list(top_ten_city.values()) chart3 = Bar('好友城市分布Top10柱状图', width=900, height=500) chart3.add('', attr, value, is_stack=False, is_label_show=True, bar_category_gap='20%') page.add(chart3) page.render('analysisResult.html')
def test_map_show_label(): # show label value = [155, 10, 66, 78] attr = ["福建", "山东", "北京", "上海"] map = Map("全国地图示例", width=1200, height=600) map.add("", attr, value, maptype="china", is_label_show=True) map.on(events.MOUSE_CLICK, on_click) map.render() content = get_default_rendering_file_content() assert "function on_click(params) {" in content assert '("click", on_click);' in content
def salary_shenzhen_map(): ''' 深圳各地区最低薪资均值 :return:html ''' print("正在生成深圳各地区最低薪资均值......") page = Page() s = sel_area_left_salary() value = [] attr = [] for i in s: if i['city'] == "深圳": Area = i['Area'] if Area == "坪山新区": Area = Area.replace("新", "").strip() area_left_salary = i['area_left_salary'] value.append(area_left_salary) attr.append(Area) print(value) print(attr) map = Map( "深圳各地区最低薪资均值", width=1200, height=600, background_color='#F4F3EF', ) map.add("", attr, value, maptype='深圳', is_label_show=True, is_visualmap=True, visual_range=['0', '15'], visual_text_color='#000', visual_range_text=['0', '15k']) page.add(map) bar = Bar( "深圳各地区最低薪资均值", background_color='#F4F3EF', ) bar.add("深圳", attr, value, is_stack=True, xaxis_interval=0, xaxis_label_textsize=11, is_datazoom_show=True, xaxis_rotate=30, datazoom_range=[0, 50], is_random=True, datazoom_type='both') page.add(bar) print("深圳各地区最低薪资均值生成完毕!!") return page
def test_map_show_label(): # show label value = [155, 10, 66, 78] attr = ["福建", "山东", "北京", "上海"] map = Map("全国地图示例", width=1200, height=600) map.add("", attr, value, maptype='china', is_label_show=True) map.on(events.MOUSE_CLICK, on_click) map.render() content = get_default_rendering_file_content() assert 'function on_click(params) {' in content assert '("click", on_click);' in content
def plot_map_status(user_title, item_list, item_value): map = Map(user_title, width=600, height=400) map.add( '', item_list, item_value, maptype='china', is_visualmap=True, visual_text_color="#000", ) map.render()
def fujian(): value = [20, 190, 253, 77, 65] attr = ['福州市', '厦门市', '南平市', '泉州市', '三明市'] map = Map("福建地图示例", width='100%', height=600) map.add("", attr, value, maptype='福建', is_visualmap=True, visual_text_color='#000') return render_template('fujian_map.html', m=map)
def test_city_map(): value = [1] attr = ["渝水区"] map = Map("新余地图示例", width=1200, height=600) map.add("", attr, value, maptype='新余', is_visualmap=True, visual_text_color='#000') # To avoid potential pinyin crash, all cities have a province prefix html = map._repr_html_() assert "jiang1_xi1_xin1_yu2" in html print(html) assert "nbextensions/echarts-china-cities-js" in html
def get_map(nameList, numList): pass outputFile = './result/区域分布图.html' map = Map(title='微信好友区域分布图', width=1200, height=600, title_pos='center') map.add( '', nameList, numList, maptype='china', # 地图范围 is_visualmap=True, # 是否开启鼠标缩放漫游等 is_label_show=True # 是否显示地图标记 ) map.render(outputFile)
def henan_map(): # 城市 -- 指定省的城市 xx市 city = ['郑州市', '安阳市', '洛阳市', '濮阳市', '南阳市', '开封市', '商丘市', '信阳市', '新乡市'] values2 = [1.07, 3.85, 6.38, 8.21, 2.53, 4.37, 9.38, 4.29, 6.1] # 河南地图 数据必须是省内放入城市名 map2 = Map("河南地图", '河南', width=1200, height=600) map2.add('河南', city, values2, visual_range=[1, 10], maptype='河南', is_visualmap=True, is_label_show=True, visual_text_color='#000') # map2.show_config() map2.render(path="./data/河南地图.html")
def vis_map(): c = collections.Counter(province_c) # 从list创建 print(c) province_distribution = c provice = list(province_distribution.keys()) values = list(province_distribution.values()) map = Map("小米之家全国分布图", '2020年', width=1200, height=600) map.add("", provice, values, visual_range=[0, 150], maptype='china', is_visualmap=True, visual_text_color='#000') map.render(path="data/小米零售.html")
def test_echarts_position_in_render_html(): value = [20, 190, 253, 77, 65] attr = ['汕头市', '汕尾市', '揭阳市', '阳江市', '肇庆市'] map = Map("广东地图示例", width=1200, height=600) map.add("", attr, value, maptype='广东', is_visualmap=True, visual_text_color='#000') map.render() with codecs.open('render.html', 'r', 'utf-8') as f: actual_content = f.read() echarts_position = actual_content.find('exports.echarts') guangdong_position = actual_content.find(json.dumps('广东')) assert echarts_position < guangdong_position
def get_map(item_name, item_name_list, item_num_list): subtitle = "hyp" _map = Map(item_name, width=1500, height=800, title_pos='center', title_text_size=30, \ subtitle=subtitle, subtitle_text_size=25) _map.add("", item_name_list, item_num_list, maptype='china', is_visualmap=True, visual_text_color='#000') out_file_name = 'map.html' _map.render(out_file_name)
def drawMap(data, title, savepath='results'): if not os.path.exists(savepath): os.mkdir(savepath) map_ = Map(title, width=1200, height=600) attrs = [i for i, j in data.items()] values = [j for i, j in data.items()] map_.add('', attrs, values, maptype='china', is_visualmap=True, visual_text_color='#000') map_.render(os.path.join(savepath, title + '.html'))
def test_city_map(): value = [1, 100] attr = ['Gujarat', 'Tamil Nadu'] map = Map('India', width=800, height=600) map.add('', attr, value, maptype='印度', is_visualmap=True, visual_text_color="#000") html = map._repr_html_() assert "India" in html assert "nbextensions/echarts-countries-js" in html
def plt_Tibet_map(self, htmlfile): value = [478.3, 218.00, 180.00, 133.31, 148.50, 121, 46.5] attr = [u'拉萨市', u'日喀则市', u'昌都市', u'林芝市', u'山南市', u'那曲地区', u"阿里地区"] map = Map(u"17年西藏各城市GDP分布", width=1200, height=600) map.add("GDP(亿元)", attr, value, maptype=u'西藏', visual_range=[0, 500], is_visualmap=True, visual_text_color='#000') map.show_config() map.render(htmlfile)
def drawMap(): from pyecharts import Map value = [155, 10, 66, 78, 33, 80, 190, 53, 49.6] attr = ["福建", "山东", "北京", "上海", "甘肃", "新疆", "河南", "广西", "西藏"] map = Map("Map 结合 VisualMap 示例", width=1200, height=600) map.add("", attr, value, maptype='china', is_visualmap=True, visual_text_color='#000') map.show_config() map.render()
def get_china_map_test(): # value =[155, 10, 66, 78, 33, 80, 190, 53, 49.6] # attr =["福建", "山东", "北京", "上海", "甘肃", "新疆", "河南", "广西", "西藏"] value = [155] attr = ["Tokyo"] map = Map("Map 结合 VisualMap 示例", width=1200, height=600) map.add("", attr, value, maptype='japan', is_visualmap=True, visual_text_color='#000') map.render()
def test_echarts_js_in_first(): value = [20, 190, 253, 77, 65] attr = ['汕头市', '汕尾市', '揭阳市', '阳江市', '肇庆市'] map = Map("广东地图示例", width=1200, height=600) map.add("", attr, value, maptype='广东', is_visualmap=True, visual_text_color='#000') ECHARTS_ENV.configure_pyecharts(jshost='http://localhost/echarts') tpl = ECHARTS_ENV.from_string('{{ echarts_js_dependencies(m) }}') html = tpl.render(m=map) echarts_js_pos = html.find('echarts.min.js') guangdong_js_pos = html.find('guangdong.js') assert echarts_js_pos > -1 assert guangdong_js_pos > -1 assert echarts_js_pos < guangdong_js_pos
def test_echarts_position_in_render_html(): value = [20, 190, 253, 77, 65] attr = ['汕头市', '汕尾市', '揭阳市', '阳江市', '肇庆市'] map = Map("广东地图示例", width=1200, height=600, page_title=TITLE) map.add("", attr, value, maptype='广东', is_visualmap=True, visual_text_color='#000') map.render() actual_content = get_default_rendering_file_content() assert TITLE in actual_content
def paint_map_hubei(hubei_values, hubei_attrs): path = '湖北今日数据' if not os.path.exists(path): os.mkdir(path) map0 = Map("湖北疫情分布图", '湖北', width=1200, height=600) map0.add("湖北", hubei_attrs, hubei_values, maptype="湖北", visual_range=[0, 500], is_visualmap=True, visual_text_color="#000") map0.render(path + '/' + '湖北各市疫情分布图.html')
def country(): map = Map("中国地图", '中国地图', width=1200, height=600) provice = ['北京', '上海', '山东', '深圳'] values = [100, 200, 300, 400] map.add("", provice, values, visual_range=[0, 50], maptype='china', is_visualmap=True, visual_text_color='#000') map.show_config() return map.render(path="F:\\0000\\spiders\\templates\\tables\\中国地图.html")
def plt_Tibet_population(htmlfile): value = [55, 70, 65, 19, 32, 19, 9] attr = [u'拉萨市', u'日喀则市', u'昌都市', u'林芝市', u'山南市', u'那曲地区', u"阿里地区"] map = Map(u"17年西藏各城市人口分布", width=1200, height=600) map.add("万人", attr, value, maptype=u'西藏', visual_range=[0, 80], is_visualmap=True, visual_text_color='#000') map.show_config() map.render(htmlfile)
def map_qgtd(attr_v1: List[Tuple[str, int]], chart_name: str, v1_name: str) -> map.Map: style = Style(width=WIDTH, height=HEIGHT) chart = Map(chart_name, **style.init_style) attr, value = chart.cast(attr_v1) chart.add(v1_name, attr, value, maptype='china', is_visualmap=True, visual_text_color='#000') return chart
def test_echarts_position_in_render_html(): value = [20, 190, 253, 77, 65] attr = ['汕头市', '汕尾市', '揭阳市', '阳江市', '肇庆市'] map = Map("广东地图示例", width=1200, height=600) map.add("", attr, value, maptype='广东', is_map_symbol_show=False, is_visualmap=True, visual_text_color='#000') map.render() with codecs.open('render.html', 'r', 'utf-8') as f: actual_content = f.read() echarts_position = actual_content.find('exports.echarts') guangdong_position = actual_content.find(json.dumps('广东')) assert echarts_position < guangdong_position assert '"showLegendSymbol": false' in actual_content
def salary_chengdu_map(): ''' 成都各地区最低薪资均值 :return:html ''' print("正在生成成都各地区最低薪资均值......") page = Page() s = sel_area_left_salary() value = [] attr = [] for i in s: if i['city'] == "成都": Area = i['Area'] area_left_salary = i['area_left_salary'] value.append(area_left_salary) attr.append(Area) print(value) print(attr) map = Map("成都各地区最低薪资均值", background_color='#F4F3EF', width=1200, height=600) map.add("", attr, value, maptype='成都', is_label_show=True, is_visualmap=True, visual_range=['0', '15'], visual_text_color='#000', visual_range_text=['0', '15k']) page.add(map) bar = Bar( "成都各地区最低薪资均值", background_color='#F4F3EF', ) bar.add("成都", attr, value, is_stack=True, xaxis_interval=0, xaxis_label_textsize=11, is_datazoom_show=True, xaxis_rotate=30, datazoom_range=[0, 50], is_random=True, datazoom_type='both') page.add(bar) #page.render("salary_chengdu_map.html") print("成都各地区最低薪资均值生成完毕!!") return page
def test_china_map(): value = [155, 10, 66, 78] attr = ["福建", "山东", "北京", "上海"] map = Map("全国地图示例", width=1200, height=600) map.add("", attr, value, maptype="china") map.render() actual_content = get_default_rendering_file_content() # test register map assert 'registerMap("china",' in actual_content # 福建省 assert "\u798f\u5efa" in actual_content # 汕头市 assert "\u4e0a\u6d77" in actual_content
def test_china_map(): value = [155, 10, 66, 78] attr = ["福建", "山东", "北京", "上海"] map = Map("全国地图示例", width=1200, height=600) map.add("", attr, value, maptype='china') map.render() with codecs.open('render.html', 'r', 'utf-8') as f: actual_content = f.read() # test register map assert "registerMap(\"china\"," in actual_content # 福建省 assert "\u798f\u5efa" in actual_content # 汕头市 assert "\u4e0a\u6d77" in actual_content
def test_echarts_position_in_render_html(): value = [20, 190, 253, 77, 65] attr = ["汕头市", "汕尾市", "揭阳市", "阳江市", "肇庆市"] map = Map("广东地图示例", width=1200, height=600, page_title=TITLE) map.add( "", attr, value, maptype="广东", is_visualmap=True, visual_text_color="#000", ) map.render() actual_content = get_default_rendering_file_content() assert TITLE in actual_content
def test_map_with_custom_name_map(): # show label value = [155, 10, 66, 78] attr = ["福建", "山东", "北京", "上海"] map = Map("全国地图示例", width=1200, height=600) map.add( "", attr, value, maptype="china", is_label_show=True, name_map={"test": "--magic--"}, ) map.render() content = get_default_rendering_file_content() assert "--magic--" in content assert "nameMap" in content
def test_world_map(): value = [95.1, 23.2, 43.3, 66.4, 88.5, 0.1] attr = [ "China", "Canada", "Brazil", "Russia", "United States", "Unknown Country" ] map = Map("世界地图示例", width=1200, height=600) map.add("", attr, value, maptype="world", is_visualmap=True, visual_text_color='#000') map.render() with codecs.open('render.html', 'r', 'utf-8') as f: actual_content = f.read() # test register map assert "registerMap(\"world\"," in actual_content # test non-existent country assert "Russia" in actual_content assert "Unknown Country', " not in actual_content
def test_echarts_position_in_render_html(): value = [20, 190, 253, 77, 65] attr = ["汕头市", "汕尾市", "揭阳市", "阳江市", "肇庆市"] map = Map("广东地图示例", width=1200, height=600) map.add( "", attr, value, maptype="广东", is_map_symbol_show=False, is_visualmap=True, visual_text_color="#000", ) map.render() content = get_default_rendering_file_content() echarts_position = content.find("exports.echarts") guangdong_position = content.find(json.dumps("广东")) assert echarts_position < guangdong_position assert '"showLegendSymbol": false' in content
def test_map_visualmap_pieces(): value = [155, 10, 66, 78] attr = ["福建", "山东", "北京", "上海"] map = Map("全国地图示例", width=1200, height=600) map.add( "", attr, value, maptype="china", is_visualmap=True, is_piecewise=True, visual_text_color="#000", visual_range_text=["", ""], pieces=[ {"max": 160, "min": 70, "label": "高数值"}, {"max": 69, "min": 0, "label": "低数值"}, ], ) content = map._repr_html_() assert '"max": 160' in content assert '"min": 0' in content
def test_map(): # map_0 value = [155, 10, 66, 78] attr = ["福建", "山东", "北京", "上海"] map = Map("全国地图示例", width=1200, height=600) map.add("", attr, value, maptype='china') map.show_config() map.render() # map_1 value = [155, 10, 66, 78, 33, 80, 190, 53, 49.6] attr = ["福建", "山东", "北京", "上海", "甘肃", "新疆", "河南", "广西", "西藏"] map = Map("Map 结合 VisualMap 示例", width=1200, height=600) map.add("", attr, value, maptype='china', is_visualmap=True, visual_text_color='#000') map.show_config() map.render() # # map_2 value = [20, 190, 253, 77, 65] attr = ['汕头市', '汕尾市', '揭阳市', '阳江市', '肇庆市'] map = Map("广东地图示例", width=1200, height=600) map.add("", attr, value, maptype='广东', is_visualmap=True, visual_text_color='#000') map.show_config() map.render()
def test_echarts_js_in_first(): value = [20, 190, 253, 77, 65] attr = ["汕头市", "汕尾市", "揭阳市", "阳江市", "肇庆市"] map = Map("广东地图示例", width=1200, height=600) map.add( "", attr, value, maptype="广东", is_visualmap=True, visual_text_color="#000", ) env = EchartsEnvironment( pyecharts_config=PyEchartsConfig(jshost="http://localhost/echarts") ) tpl = env.from_string("{{ echarts_js_dependencies(m) }}") html = tpl.render(m=map) echarts_js_pos = html.find("echarts.min.js") guangdong_js_pos = html.find("guangdong.js") assert echarts_js_pos > -1 assert guangdong_js_pos > -1 assert echarts_js_pos < guangdong_js_pos
def draw_result(self): mongo_region_dist = mongo_db['regiondist'] regiondist = mongo_region_dist.find({}, {"_id": 0}) attr = [] value = [] for item in regiondist: value.append(item['totalCount']) attr.append(item["region"]) map = Map("淘宝淘女郎全国分布图", width=1200, height=600) map.add("", attr, value, maptype='china', visual_range=[0, 5000], is_visualmap=True, visual_text_color='#000') map.render(r"charts/regionDistribute.html") #某些城市的地理坐标无法正确获取,故绘图结果不不正确,待完善 '''mongo_city_dist = mongo_db['citydist'] citydist = mongo_city_dist.find({}, {"_id": 0}) attr = [] value = [] for item in citydist: value.append(item['totalCount']) attr.append(item["city"]) geo = Geo("淘宝淘女郎城市分布图", "data from mm.taobao.com", title_color="#fff", title_pos="center", width=1200, height=600, background_color='#404a59') geo.add("", attr, value, visual_range=[0, 1000], visual_text_color="#fff", symbol_size=12, is_visualmap=True) geo.render(r"charts/cityDistribute.html")''' mongo_height_stat = mongo_db['heightstat'] heightstat = mongo_height_stat.find({}, {"_id": 0}) attr = [] value = [] for item in heightstat: value.append(item['value']) attr.append(item["height"]) bar = Bar("淘宝淘女郎身高分布图", "data from mm.taobao.com") bar.add("", attr,value) bar.render("charts/heightstat.html") mongo_weight_stat = mongo_db['weightstat'] weightstat = mongo_weight_stat.find({}, {"_id": 0}) attr = [] value = [] for item in weightstat: value.append(item['value']) attr.append(item["weight"]) bar = Bar("淘宝淘女郎体重分布图", "data from mm.taobao.com") bar.add("", attr, value) bar.render("charts/weightstat.html") mongo_blood_stat = mongo_db['bloodstat'] bloodstat = mongo_blood_stat.find({}, {"_id": 0}) attr = [] value = [] for item in bloodstat: value.append(item['value']) attr.append(item["blood"]) bar = Bar("淘宝淘女郎血型分布图", "data from mm.taobao.com") bar.add("", attr, value) bar.render("charts/bloodstat.html") mongo_birthday_stat = mongo_db['birthdaystat'] birthdaystat = mongo_birthday_stat.find({}, {"_id": 0}) attr = [] value = [] for item in birthdaystat: value.append(item['value']) attr.append(item["blood"]) bar = Bar("淘宝淘女郎生日星座分布图", "data from mm.taobao.com") bar.add("", attr, value) bar.render("charts/birthdaystat.html")
# 世界地图示例 from pyecharts import Map countries= ["China", "Canada", "India", "Russia", "United States","Japan"] capita_gdp = [13334, 43294, 5903, 23038, 53354,36162] population = [1376048943, 35939927, 1311050527, 143456918, 321773631,126573481] life_expectancy = [76.9,81.7,66.8,73.13,79.1,73.13] m = Map("世界经济发展水平", width=1024, height=576) m.add( "人均GDP", attr = countries, value = capita_gdp, maptype="world", is_visualmap=True, visual_range = [5000,60000], visual_text_color="#000", is_map_symbol_show=False, visual_orient="horizontal" ) m.render('result.地理坐标系图.世界地图示例.html') # 全国省份地图 from pyecharts import Map value = [155, 10, 66, 78, 44, 38, 88, 50, 20] attr = ["福建","山东","北京","上海","江西","新疆","内蒙古","云南","重庆"] m = Map("全国省份地图", width=600, height=400) m.add("", attr, value, maptype='china', is_visualmap=True, is_piecewise=True, visual_text_color="#000",
bar = Bar("历年报考人数与出生人数") bar.add("报考人数",arr[::-1,0] , arr[::-1,1]) bar.add("出生人数",arr[::-1,0] , list_born) bar # In[59]: from pyecharts import Map data_prov = [('北京', 6.3), ('重庆', 25), ('上海', 5), ('天津', 5.5), ('河南', 98.38), ('广东', 75.8), ('山东', 59.2), ('安徽', 49.9), ('四川', 62), ('江苏', 33.15), ('河北', 48.64), ('湖北', 37.4), ('陕西', 31.9), ('湖南', 45.18), ('山西', 30.5), ('浙江', 30.6), ('甘肃', 27.3), ('广西', 40), ('江西', 38), ('福建', 20.09), ('辽宁', 18.5), ('贵州', 44), ('云南', 30), ('黑龙江', 19.04), ('内蒙古', 19.5), ('吉林', 15.03), ('新疆', 20.74), ('宁夏', 6.95), ('海南', 5.88), ('青海', 4), ('西藏', 2.53)] geo = Map("2018各省高考报名人数") attr, value = geo.cast(data_prov) geo.add("", attr, value, visual_range=[0, 80], is_visualmap=True, is_map_symbol_show=False) geo # In[48]: data_prov_ad = [('湖南', 11.2), ('江西', 10.4), ('安徽', 14.2), ('广东', 11.2), ('河北', 14.55), ('湖北', 15.8), ('河南', 7.8), ('山西', 9.8), ('福建', 18.7), ('吉林', 12.4), ('重庆', 11.5), ('辽宁', 16.1), ('内蒙古', 14.03), ('甘肃', 15.22), ('黑龙江', 13.5), ('陕西', 14.6), ('宁夏', 19), ('新疆', 12.86), ('西藏', 11), ('青海', 15.2), ('四川', 10.6), ('云南', 10.85), ('广西', 8.44), ('贵州', 14.50), ('北京', 30.5), ('江苏', 12.10), ('山东', 10.6), ('天津', 24.1), ('上海', 21.8), ('浙江', 14)] geo = Map("2018各省一本录取率") attr, value = geo.cast(data_prov_ad) geo.add("", attr, value, visual_range=[8, 20], is_visualmap=True, is_map_symbol_show=False) geo # In[ ]:
data.to_csv('tmp.csv') data=pd.read_csv('tmp.csv',encoding='gbk') data['单价']=data['价格']/data['面积'] data['单价'][data['单价']>0.3].plot.hist(bins = 20,title='在售二手房单价直方图',figsize = (12, 9)) a=data[['单价','区']].dropna() grouped =a['单价'].groupby(a['区']).apply(np.median) a=list(grouped.index[0:2]+'区') a.append('亦庄开发区') a=a+list(grouped.index[3:]+'区') grouped.index=a from pyecharts import Map value =list(grouped) attr =list(grouped.index) map=Map("二手房在售单价中位数 单位:万元", width=1200, height=600) map.add("", attr, value, maptype='北京', is_visualmap=True, visual_text_color='#404a59',visual_range=[1,10],is_map_symbol_show =False) map.show_config() map.render() df=pd.read_csv('ershoufangshuju.csv',encoding='gbk') del df['Unnamed: 0'] df['电梯'][df['类型']=='有电梯']=df['类型'][df['类型']=='有电梯'] df['电梯'][df['类型']=='无电梯']=df['类型'][df['类型']=='无电梯'] df['类型'][df['类型']=='有电梯']=np.NaN df['类型'][df['类型']=='无电梯']=np.NaN tmp=pd.crosstab(df['区'],df['类型'],margins=True) def plotbar_Stacked(tmp,t=''): tmp=tmp.apply(lambda x:x/x[-1],axis=1) tmp=tmp.drop('All',1).drop('All',0) tmp.plot.bar(stacked=True,figsize = (12, 9),title=str(t))