def plot_province(friends):
friend_pro = []
for each in friends[1:]:
friend_pro.append(each['Province'])
pr_loc = collections.Counter(friend_pro)
print(pr_loc)
value = []
# map the counter value to pro_attr
for each in pro_attr:
value.append(pr_loc[each])
print(value)
friend_map = pc.Map(u'陈永斌 各省微信好友分布', 'John', width=1200, height=600)
friend_map.add('',
pro_attr,
value,
maptype='china',
is_visualmap=True,
visual_text_color='#000')
friend_map.show_config()
friend_map.render('weixin1.html')
def plot_oil_station_num_(re_dic, to_path):
standard_province = ['安徽', '贵州', '澳门', '北京', '重庆', '福建', '福建', '甘肃', '广东', '广西', '广州', '海南', '河北', '黑龙江', '河南', '湖北', '湖南', '江苏',
'江西', '吉林', '辽宁', '内蒙古', '宁夏', '青海', '山东', '上海', '陕西', '山西', '四川', '台湾', '天津', '香港', '新疆', '西藏', '云南', '浙江']
dw = my_(config.MYSQL_BI_RW_ENV)
muchcols_table = 'data_center.dc_stations_muchcols_enc'
if re_dic['scale'] == 'china':
sqls = "select province scale,count(*) numbers from %s where name like '%%%s%%' group by province order by numbers desc" % (muchcols_table, re_dic['name'])
count_station_ = dw.to_dataframe(sqls)
count_station_['scale'] = count_station_['scale'].apply(lambda x: change_city(x, standard_province))
else:
re_dic['scale'] = re_dic['scale'].split('省')[0]
re_dic['scale'] = re_dic['scale'].split('市')[0]
sqls = "select city scale,count(*) numbers from %s where province like '%%%s%%' and name like '%%%s%%' group by city order by numbers desc" % (muchcols_table, re_dic['scale'], re_dic['name'])
count_station_ = dw.to_dataframe(sqls)
num_Max = count_station_['numbers'].max()
name_str = "油站名包含'%s':" %re_dic['name'] if re_dic['name'] else ''
page = pyecharts.Page()
style = pyecharts.Style(width=1300, height=860, background_color='#606a79', title_color="#eee", title_pos="center")
map1 = pyecharts.Map(name_str+"油站分布地图", **style.init_style)
map1.add("", count_station_['scale'], count_station_['numbers'], maptype=re_dic['scale'], visual_range=[0, num_Max], is_label_show=True,
is_visualmap=True, visual_text_color='#eee')
page.add(map1)
chart2 = pyecharts.Bar(name_str+"油站分布柱状图", **style.init_style)
chart2.add("", count_station_['scale'][:25], count_station_['numbers'][:25], maptype=re_dic['scale'], visual_range=[0, num_Max], is_label_show=True,
is_visualmap=True, visual_text_color='#eee')
page.add(chart2)
page.render(to_path)
def creat_WorldMap():
value = [95.1, 23.2, 43.3, 66.4, 88.5]
attr = ["China", "Canada", "Brazil", "Russia", "United States"]
map = pyecharts.Map("世界地图", width=1200, height=600)
map.add("", attr, value, maptype="world", is_visualmap=True,
visual_text_color='#000')
map.render('Map-World.html')
def create_Map():
a_city = []
for i in cities:
a_city.append(i + '市')
map = pyecharts.Map("湖北最低气温", width=1200, height=600)
map.add("最低气温", a_city, lows, maptype='湖北', is_visualmap=True, visual_text_color='#000', visual_range=[-15, 20])
map.render("Map-low.html")
def province_map(map_title, province_name, province_num):
map_subtitle = '仅统计位于中国省份的信息'
map = pyecharts.Map(title=map_title,
subtitle=map_subtitle,
width=1600,
height=800)
# print(map.width)
map.add('',
province_name,
province_num,
maptype='china',
is_visualmap=True)
map_file_name = './' + map_title + '.html'
try:
map.render(path=map_file_name)
print('%s已保存至%s' % (map_title, map_file_name))
except Exception as e:
logging.debug(u'Error:%s' % e)
pass
def areas_price_distribution(self):
temp = self.data.groupby(['area_positon'
])['unit-price'].mean().reset_index()
temp = temp.round(1)
attr = list(temp['area_positon'])
value = list(temp['unit-price'])
map = pyecharts.Map("深圳各行政区二手房均价",
"统计时间：2018-09-22",
width=800,
height=600)
map.add("二手房均价(单位：万元)",
attr,
value,
maptype=u"深圳",
is_legend_show=False,
is_label_show=True,
is_visualmap=True,
visual_text_color="#000",
visual_range=[3, 8])
map.render()
as_index=False)['single_price'].mean()
grouped_single_price.sort_values(by='single_price', ascending=False)
attr = list(grouped_single_price['areaName'])
vv = grouped_single_price['single_price'] * 10000
value = list(vv.round(2))
print(type(grouped_single_price['single_price']))
#行政区的名称与map 中的保持一致
for i, dist in enumerate(attr):
if (dist.find('区') == -1):
attr[i] = attr[i] + '区'
print(attr)
print(value)
print(type(attr))
map = pyecharts.Map("沈阳各行政区二手房均价", "统计时间：2019-04-25", width=800, height=1600)
map.add(
"二手房均价(单位：元)",
attr,
value,
maptype=u"沈阳",
is_legend_show=True,
is_label_show=True,
visual_range=[min(value), max(value)],
is_visualmap=True,
)
map
#map.render("沈阳各行政区二手房均价.html")
# In[53]:
