def create_three():
page = Page(page_title=TEST_PAGE_TITLE)
# bar
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
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", attr, v1, is_stack=True)
bar.add("商家B", attr, 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 cararea():
value = [20, 190, 253, 77, 65]
attr = ['福州市', '厦门市', '南平市', '泉州市', '三明市']
map = Map("车辆区域分布统计", width='100%', height=700)
map.add("", attr, value, maptype='福建', is_visualmap=True,
visual_text_color='#000')
return render_template('cararea.html', m=map)
def create_map():
province_list = [
'北京', '天津', '上海', '重庆', '河北', '河南', '云南', '辽宁', '黑龙江', '湖南', '安徽',
'山东', '新疆', '江苏', '浙江', '江西', '湖北', '广西', '甘肃', '山西', '内蒙古', '陕西',
'吉林', '福建', '贵州', '广东', '青海', '西藏', '四川', '宁夏', '海南', '台湾', '香港', '澳门'
]
value_list = []
max_value = 0
for i, province in enumerate(province_list):
province_counts = Patents.select().where(
Patents.proposer_address**('%' + province + '%')).count()
if max_value < province_counts:
max_value = province_counts
value_list.append(province_counts)
map = Map("专利省份分布地图", width=1200, height=600)
map.add('',
province_list,
value_list,
maptype='china',
is_visualmap=True,
is_label_show=True,
visual_text_color='#000',
visual_range=[0, max_value])
return map
def create_charts():
users = get_friends()
page = Page()
style = Style(width=1100, height=600)
style_middle = Style(width=900, height=500)
data = sex_stats(users)
attr, value = data
chart = Pie('微信性别') # title_pos='center'
chart.add('', attr, value, center=[50, 50],
radius=[30, 70], is_label_show=True, legend_orient='horizontal', legend_pos='center',
legend_top='bottom', is_area_show=True)
page.add(chart)
data = prov_stats(users)
attr, value = data
chart = Map('中国地图', **style.init_style)
chart.add('', attr, value, is_label_show=True, is_visualmap=True, visual_text_color='#000')
page.add(chart)
chart = Bar('柱状图', **style_middle.init_style)
chart.add('', attr, value, is_stack=True, is_convert=True, label_pos='inside', is_legend_show=True,
is_label_show=True)
page.add(chart)
data = gd_stats(users)
attr, value = data
chart = Map('河南', **style.init_style)
chart.add('', attr, value, maptype='河南', is_label_show=True, is_visualmap=True, visual_text_color='#000')
page.add(chart)
chart = Bar('柱状图', **style_middle.init_style)
chart.add('', attr, value, is_stack=True, is_convert=True, label_pos='inside', is_label_show=True)
page.add(chart)
page.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_label_show=True, is_visualmap=True,
visual_text_color='#000')
return render_template('fujian_map.html', m=map)
def mytest1():
value = [120, 120, 120, 120, 120]
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=900)
map.add("", attr, value, maptype='福建', is_visualmap=True,
visual_text_color='#000')
return render_template('mytest1.html', m=map)
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 create_three():
page = Page()
# bar
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
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", attr, v1, is_stack=True)
bar.add("商家B", attr, 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)
]
range_color = ['#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf',
'#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026']
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 create_uk_map():
map = Map('UK', width=800, height=600)
map.add('', [], [],
maptype='UK_electoral_2016',
is_visualmap=True,
visual_text_color="#000")
return map
def gen_zwyx_dd(zwlb):
qs = ZpZwByAreaModel.objects
if zwlb:
qs = qs.filter(zwlb=zwlb)
path = f'zwyx_dd/{zwlb}.html'
else:
path = 'zwyx_dd.html'
page = Page()
df = read_frame(qs.all())
if len(df) > 0:
df_group = df.groupby(['year', 'month'])
time_line_chart1 = Timeline(width=1500,
height=450,
is_auto_play=False,
timeline_bottom=0)
time_line_chart2 = Timeline(width=1500,
height=450,
is_auto_play=False,
timeline_bottom=0)
for name, group in df_group:
# 地图 平均薪资
month = group['month'].tolist()[0]
year = group['year'].tolist()[0]
df_new = group.groupby('province').apply(
get_echarts_all_by_zwyx_value, 'province')
data = [
(a, (b + c) / 2)
for a, b, c in zip(df_new['province'].tolist(
), df_new['max_zwyx'].tolist(), df_new['min_zwyx'].tolist())
]
chart = Map(f'{zwlb}平均职位月薪与地点', width=1500, height=450)
attr, value = chart.cast(data)
chart.add(f'平均薪资',
attr,
value,
wmaptype='china',
is_label_show=True,
is_visualmap=True,
visual_range=[int(min(value)),
int(max(value))],
visual_pos='right',
visual_top='top')
time_line_chart1.add(chart, f'{year}年{month}月')
# 本月职位量Top20
chart3 = Pie(f'{zwlb}职位量及招聘人数', width=1500)
chart3.add('职位量',
df_new['province'].tolist(),
df_new['count'].tolist(),
center=[25, 50],
is_label_show=True)
chart3.add('招聘人数',
df_new['province'].tolist(),
df_new['zprs'].tolist(),
center=[75, 50],
is_label_show=True)
time_line_chart2.add(chart3, f'{year}年{month}月')
page.add(time_line_chart1)
page.add(time_line_chart2)
page.render(os.path.join(BASE_DIR, 'templates/{}'.format(path)))
def analysisCity(province):
friends_info = get_friends_info()
df = pd.DataFrame(friends_info)
temp1 = df.query('province == "%s"' % province)
city_count = temp1.groupby('city',
as_index=True)['city'].count().sort_values()
attr = list(
map(lambda x: '%s市' % x if x != '' else '未知', list(city_count.index)))
value = list(city_count)
# 画图
page = Page()
style = Style(width=1100, height=600)
style_middle = Style(width=900, height=500)
chart1 = Map('%s好友分布' % province, **style.init_style)
chart1.add('',
attr,
value,
maptype='%s' % province,
is_label_show=True,
is_visualmap=True,
visual_text_color='#000')
page.add(chart1)
chart2 = Bar('%s好友分布柱状图' % province, **style_middle.init_style)
chart2.add('',
attr,
value,
is_stack=True,
is_convert=True,
label_pos='inside',
is_label_show=True)
page.add(chart2)
page.render('analysisCity.html')
def analysisProvince():
friends_info = get_friends_info()
df = pd.DataFrame(friends_info)
province_count = df.groupby(
'province', as_index=True)['province'].count().sort_values()
temp = list(
map(lambda x: x if x != '' else '未知', list(province_count.index)))
# 画图
page = Page()
style = Style(width=1100, height=600)
style_middle = Style(width=900, height=500)
attr, value = temp, list(province_count)
chart1 = Map('好友分布(中国地图)', **style.init_style)
chart1.add('',
attr,
value,
is_label_show=True,
is_visualmap=True,
visual_text_color='#000')
page.add(chart1)
chart2 = Bar('好友分布柱状图', **style_middle.init_style)
chart2.add('',
attr,
value,
is_stack=True,
is_convert=True,
label_pos='inside',
is_legend_show=True,
is_label_show=True)
page.add(chart2)
page.render('analysisProvince.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.render()
def province_chart(friends):
'绘制地区分布图'
province = [i['Province'] for i in friends]
attr, value = x(province)
map = Map("好友地理位置分布", width=1200, height=600)
map.add("", attr, value, is_visualmap=True, visual_text_color='#000')
return map
def create_simple_map():
value = [155, 10, 66, 78]
attr = ["福建", "山东", "北京", "上海"]
map1 = Map("全国地图示例", width=1200, height=600)
map1.add("", attr, value, maptype='china')
map1.renderer = 'svg'
return map1
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 cararea2():
value = getCarAreaValues()
attr = getCarAreaAttrs()
map = Map("车辆区域分布统计", width='100%', height=600)
map.add("", attr, value, maptype='china', is_visualmap=True, is_label_show=True,
visual_text_color='#000',
is_piecewise=True,
pieces=[
{"max": 1000000, "min": 20001, "label": "2万-100万值"},
{"max": 20000, "min": 10001, "label": "10001-20000值"},
{"max": 10000, "min": 8001, "label": "8001-10000值"},
{"max": 8000, "min": 7001, "label": "7001-8000值"},
{"max": 7000, "min": 6001, "label": "6001-7000值"},
{"max": 6000, "min": 5001, "label": "5001-6000值"},
{"max": 5000, "min": 4001, "label": "4001-5000值"},
{"max": 4000, "min": 3001, "label": "3001-4000值"},
{"max": 3000, "min": 2001, "label": "2001-3000值"},
{"max": 2000, "min": 1001, "label": "1001-2000值"},
{"max": 1000, "min": 501, "label": "501-1000值"},
{"max": 500, "min": 101, "label": "101-500值"},
{"max": 100, "min": 11, "label": "11-100值"},
{"max": 10, "min": 0, "label": "0-10值"},
]
)
return render_template('cararea.html', m=map)
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_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 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 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_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 cararea():
value = getCarAreaValues()
attr = getCarAreaAttrs()
map = Map("车辆区域分布统计", width='100%', height=600)
map.add("", attr, value, maptype='china', is_visualmap=True, is_label_show=True,
visual_text_color='#000',
visual_range=[0, 10000]
)
return render_template('cararea.html', m=map)
def drawMap(name,rank):
map = Map(title='微信好友区域分布图', width=1200, height=600, title_pos='center')
map.add(
'',name,rank,
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
)
return map
def test_city_map():
map = Map("海淀示例", width=1200, height=600)
map.add("", [], [], maptype='海淀区',
visual_text_color='#000')
# To avoid potential pinyin crash, all cities have a province prefix
html = map._repr_html_()
assert "zhi2xia2_bei3jing1_hai3dian4" in html
print(html)
assert "nbextensions/echarts-china-counties-js" in html
def generate_map():
data = get_city_data('friend.json')
map = Map(
"微信好友",
"热力图",
title_color="#fff",
title_pos="center",
width=600,
height=500,
background_color="#404a59",
)
# geo.use_theme('dark')
attr, value = map.cast(data)
map.add(
"",
attr,
value,
maptype="china",
visual_range=[0, 200],
visual_text_color="#fff",
symbol_size=15,
is_visualmap=True,
# is_label_show=True
)
map.render('map.html')
map.render(path='map.png')
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 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 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 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_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 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 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 map():
from pyecharts import 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',
is_visualmap=True,
visual_text_color='#000')
return template(map)
def get_province_map(self, province_dict):
"""
获取省份地图
"""
value = province_dict.values()
attr = province_dict.keys()
map = Map("好友全国分布", width=1000, height=600)
map.add('',
attr,
value,
maptype="china",
is_visualmap=True,
visual_text_color="#000")
return map
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._option.get("baseOption").get("series")) == 2
timeline.render()
def generate1(maptype, attr, value, folder_type, label_name):
split_number = 5 # 分段的个数
max_value = cal_proper_max_value(max(value), split_number)
map = Map(maptype, width=800, height=500, title_pos="10%")
map.add(
"",
attr,
value,
maptype=maptype,
is_roam=True,
is_label_show=True,
is_map_symbol_show=False,
is_visualmap=True,
visual_range=[0, max_value], # 最大值必须要大于真实的数值
visual_text_color="#000",
visual_range_color=['#CCFFFF', '#99CCFF', '#336699', '# 003366'],
visual_range_text=[' ', '单位(人天数)'],
# is_piecewise=True, # 加上后组件为分段型
# visual_split_number=split_number, # 分段的个数
tooltip_formatter=format,
# label_formatter=label_format, #地图上省份直接显示数据
)
# map.use_theme("shine")
map._option.get("toolbox").get("feature").update({
"myTool": {
"show": True,
"title": "返回全国地图",
"icon": home_icon,
"onclick": return_home
},
})
map.on(events.MOUSE_CLICK, on_click)
# map.render("./maps" + "ggggg人天数组合图" + ".html")
map.render("./maps/" + folder_type + "/" + maptype + '.html')
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_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_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_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
#出售价
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)
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()
from pyecharts import Bar, Line, Overlap
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
# 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",
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")
