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 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 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 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 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))
