import pymongo
from string import punctuation
import charts

Server running in the folder /Users/Hou at 127.0.0.1:60051

client = pymongo.MongoClient('localhost',27017)
ceshi = client['ceshi']
item_info = ceshi['item_infoY']

for i in item_info.find().limit(300):
    print(i['area'])

['朝阳', '-', '高碑店']
['朝阳', '-', '定福庄']
['西城', '-', '西单']
['朝阳', '-', '望京']
['丰台']
['朝阳', '-', '定福庄']
None
['朝阳', '-', '国贸']
['朝阳', '-', '孙河']
['东城', '-', '东单']
['昌平', '-', '北七家']
['怀柔', '-', '怀柔城区']
['燕郊', '-', '燕顺路']
['海淀', '-', '北洼路']
['朝阳', '-', '东坝']
['海淀', '-', '蓟门桥']
None
['通州', '-', '张家湾']
['海淀', '-', '上地']
['朝阳', '-', '定福庄']
['丰台']
['昌平']
None
['海淀', '-', '苏州桥']
['西城', '-', '南礼士路']
['朝阳', '-', '太阳宫']
['海淀', '-', '知春路']
None
['丰台', '-', '总部基地']
['大兴', '-', '旧宫']
['海淀', '-', '上地']
['昌平', '-', '回龙观']
['丰台']
['房山', '-', '良乡']
['海淀', '-', '香山']
['大兴', '-', '瀛海镇']
['朝阳', '-', '劲松']
None
['丰台']
['朝阳', '-', '双桥']
['大兴', '-', '西红门']
['宣武', '-', '广安门外']
['丰台', '-', '宋家庄']
['海淀', '-', '西二旗']
['通州', '-', '武夷花园']
['大兴', '-', '西红门']
['通州', '-', '新华大街']
['西城', '-', '复兴门']
['朝阳', '-', '劲松']
['海淀', '-', '四季青']
['通州', '-', '马驹桥']
['西城', '-', '西四']
['昌平', '-', '沙河']
['朝阳', '-', '工体']
['朝阳', '-', '大山子']
['朝阳', '-', '管庄']
['朝阳', '-', '安贞']
['朝阳', '-', 'CBD']
['崇文', '-', '龙潭湖']
['朝阳', '-', '朝阳公园']
['海淀']
None
['通州', '-', '果园']
None
['朝阳', '-', '十八里店']
None
['西城', '-', '西直门']
['朝阳', '-', '欢乐谷']
['海淀', '-', '永定路']
['朝阳', '-', '酒仙桥']
['东城', '-', '北京站']
['昌平', '-', '昌平县城']
None
None
['房山', '-', '窦店']
['海淀', '-', '清华大学']
['西城', '-', '鼓楼']
None
['朝阳']
None
['丰台']
['朝阳', '-', '安贞']
['丰台', '-', '总部基地']
['朝阳', '-', '大屯']
['朝阳', '-', '安慧桥']
['通州', '-', '张家湾']
['大兴', '-', '大兴周边']
['西城', '-', '马甸']
['海淀', '-', '上地']
['海淀', '-', '清华大学']
None
['朝阳']
['大兴', '-', '清源']
['朝阳', '-', '北苑']
['大兴', '-', '亦庄']
['海淀', '-', '学院路北']
['朝阳', '-', '西坝河']
['朝阳', '-', '小红门']
['朝阳']
['通州']
None
['昌平', '-', '沙河']
['海淀', '-', '万寿寺']
['朝阳', '-', 'CBD']
['丰台', '-', '六里桥']
['房山', '-', '窦店']
['朝阳', '-', '双井']
None
['怀柔']
['房山', '-', '良乡']
['朝阳', '-', '胜古']
['通州', '-', '永顺']
['朝阳', '-', '安贞']
['大兴', '-', '亦庄']
['昌平', '-', '北七家']
['海淀', '-', '西山']
['通州', '-', '马驹桥']
None
None
None
['昌平', '-', '天通苑']
['大兴', '-', '旧宫']
['西城', '-', '六铺炕']
['西城', '-', '鼓楼']
['朝阳', '-', '红庙']
['密云', '-', '密云城区']
['朝阳', '-', '四惠']
['朝阳', '-', '潘家园']
None
['石景山', '-', '鲁谷']
['丰台', '-', '青塔']
['顺义']
['西城', '-', '马甸']
['朝阳', '-', '柳芳']
['昌平', '-', '立水桥']
['房山', '-', '长阳']
['门头沟', '-', '大峪']
None
['朝阳', '-', '三元桥']
None
None
['石景山', '-', '苹果园']
['昌平', '-', '沙河']
['房山', '-', '窦店']
['海淀', '-', '西二旗']
['朝阳', '-', '朝阳公园']
None
['东城', '-', '安定门']
None
['昌平', '-', '沙河']
None
['丰台', '-', '马家堡']
['房山', '-', '良乡']
['燕郊', '-', '大厂']
['海淀', '-', '定慧寺']
['海淀', '-', '北航']
['通州', '-', '通州北苑']
['朝阳', '-', '大望路']
['海淀', '-', '世纪城']
['大兴', '-', '西红门']
['顺义', '-', '机场']
['海淀']
['丰台', '-', '六里桥']
['顺义', '-', '石园']
['大兴', '-', '亦庄']
['大兴', '-', '同兴园']
['丰台']
['顺义', '-', '顺义城区']
['昌平', '-', '沙河']
['丰台', '-', '丰台周边']
['昌平', '-', '霍营']
['房山', '-', '良乡']
['朝阳', '-', '国展']
['昌平', '-', '龙泽']
['通州', '-', '次渠']
None
None
['海淀', '-', '北太平庄']
None
['通州']
['朝阳', '-', '安贞']
['朝阳', '-', '管庄']
['海淀', '-', '学院路']
['大兴', '-', '黄村']
None
['平谷', '-', '平谷城区']
['朝阳', '-', '大望路']
['大兴', '-', '亦庄']
['房山', '-', '良乡']
['海淀', '-', '西三旗']
['丰台', '-', '七里庄']
['朝阳']
['宣武', '-', '广安门外']
None
['西城', '-', '阜成门']
['密云', '-', '密云城区']
['昌平', '-', '回龙观']
['通州', '-', '张家湾']
['朝阳', '-', '红庙']
['朝阳', '-', '大屯']
None
['丰台', '-', '刘家窑']
['昌平', '-', '沙河']
['房山', '-', '长阳']
['海淀', '-', '上地']
['海淀', '-', '清河']
['通州', '-', '九棵树']
['西城', '-', '地安门']
['房山']
['西城', '-', '西直门']
None
None
['朝阳', '-', '双井']
['丰台', '-', '蒲黄榆']
['宣武', '-', '天宁寺']
['海淀', '-', '中关村']
None
['朝阳', '-', '定福庄']
['海淀']
['通州', '-', '西门']
['朝阳', '-', '垡头']
['西城', '-', '车公庄']
['海淀']
['朝阳', '-', '孙河']
['朝阳', '-', '建外大街']
['东城', '-', '雍和宫']
['东城', '-', '东单']
['大兴']
['东城', '-', '雍和宫']
['昌平', '-', '回龙观']
['海淀', '-', '北京大学']
['西城', '-', '马甸']
['石景山', '-', '五里坨']
['朝阳', '-', '双桥']
['通州', '-', '八里桥']
['丰台', '-', '七里庄']
['西城', '-', '马甸']
['石景山', '-', '八角']
['大兴', '-', '郁花园']
None
['丰台', '-', '大红门']
['丰台', '-', '七里庄']
['朝阳', '-', '潘家园']
['大兴', '-', '清源']
['东城', '-', '朝阳门']
None
['朝阳', '-', '百子湾']
['海淀', '-', '五道口']
['海淀', '-', '香山']
['朝阳']
['丰台', '-', '丰益桥']
['丰台', '-', '七里庄']
['海淀', '-', '马连洼']
['朝阳', '-', '高碑店']
['大兴', '-', '亦庄']
None
['丰台', '-', '方庄']
['朝阳', '-', 'CBD']
['朝阳', '-', '望京']
['大兴', '-', '西红门']
None
None
['朝阳']
['昌平', '-', '天通苑']
['朝阳', '-', '朝外大街']
['房山', '-', '长阳']
['丰台', '-', '新发地']
['海淀', '-', '清华大学']
['朝阳']
['宣武', '-', '南菜园']
['朝阳', '-', '朝外大街']
['朝阳']
['大兴', '-', '西红门']
['朝阳', '-', '慈云寺']
['朝阳', '-', '芍药居']
None
['通州', '-', '九棵树']
['朝阳', '-', '芍药居']
['丰台', '-', '角门']
['丰台', '-', '总部基地']
['昌平', '-', '霍营']
['丰台', '-', '南苑']
['海淀']
['丰台', '-', '六里桥']
None
['丰台', '-', '角门']
['崇文']
['通州', '-', '西门']
['海淀', '-', '清华大学']
['西城', '-', '马甸']
['大兴']
['海淀', '-', '中关村']
['丰台', '-', '方庄']
['朝阳', '-', '国贸']
['昌平', '-', '霍营']
None
['朝阳']
['昌平', '-', '回龙观']
['北京周边', '-', '永清']
['海淀', '-', '四季青']

for i in item_info.find():
    if i['area']:
        area = [i for i in i['area'] if i not in punctuation]
    else:
        area = ['不明']
    item_info.update({'_id':i['_id']},{'$set':{'area':area}})

/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/ipykernel/__main__.py:6: DeprecationWarning: update is deprecated. Use replace_one, update_one or update_many instead.

for i in item_info.find().limit(300):
    print(i['area'])

['朝阳', '高碑店']
['朝阳', '定福庄']
['西城', '西单']
['朝阳', '望京']
['丰台']
['朝阳', '定福庄']
['不明']
['朝阳', '国贸']
['朝阳', '孙河']
['东城', '东单']
['昌平', '北七家']
['怀柔', '怀柔城区']
['燕郊', '燕顺路']
['海淀', '北洼路']
['朝阳', '东坝']
['海淀', '蓟门桥']
['不明']
['通州', '张家湾']
['海淀', '上地']
['朝阳', '定福庄']
['丰台']
['昌平']
['不明']
['海淀', '苏州桥']
['西城', '南礼士路']
['朝阳', '太阳宫']
['海淀', '知春路']
['不明']
['丰台', '总部基地']
['大兴', '旧宫']
['海淀', '上地']
['昌平', '回龙观']
['丰台']
['房山', '良乡']
['海淀', '香山']
['大兴', '瀛海镇']
['朝阳', '劲松']
['不明']
['丰台']
['朝阳', '双桥']
['大兴', '西红门']
['宣武', '广安门外']
['丰台', '宋家庄']
['海淀', '西二旗']
['通州', '武夷花园']
['大兴', '西红门']
['通州', '新华大街']
['西城', '复兴门']
['朝阳', '劲松']
['海淀', '四季青']
['通州', '马驹桥']
['西城', '西四']
['昌平', '沙河']
['朝阳', '工体']
['朝阳', '大山子']
['朝阳', '管庄']
['朝阳', '安贞']
['朝阳', 'CBD']
['崇文', '龙潭湖']
['朝阳', '朝阳公园']
['海淀']
['不明']
['通州', '果园']
['不明']
['朝阳', '十八里店']
['不明']
['西城', '西直门']
['朝阳', '欢乐谷']
['海淀', '永定路']
['朝阳', '酒仙桥']
['东城', '北京站']
['昌平', '昌平县城']
['不明']
['不明']
['房山', '窦店']
['海淀', '清华大学']
['西城', '鼓楼']
['不明']
['朝阳']
['不明']
['丰台']
['朝阳', '安贞']
['丰台', '总部基地']
['朝阳', '大屯']
['朝阳', '安慧桥']
['通州', '张家湾']
['大兴', '大兴周边']
['西城', '马甸']
['海淀', '上地']
['海淀', '清华大学']
['不明']
['朝阳']
['大兴', '清源']
['朝阳', '北苑']
['大兴', '亦庄']
['海淀', '学院路北']
['朝阳', '西坝河']
['朝阳', '小红门']
['朝阳']
['通州']
['不明']
['昌平', '沙河']
['海淀', '万寿寺']
['朝阳', 'CBD']
['丰台', '六里桥']
['房山', '窦店']
['朝阳', '双井']
['不明']
['怀柔']
['房山', '良乡']
['朝阳', '胜古']
['通州', '永顺']
['朝阳', '安贞']
['大兴', '亦庄']
['昌平', '北七家']
['海淀', '西山']
['通州', '马驹桥']
['不明']
['不明']
['不明']
['昌平', '天通苑']
['大兴', '旧宫']
['西城', '六铺炕']
['西城', '鼓楼']
['朝阳', '红庙']
['密云', '密云城区']
['朝阳', '四惠']
['朝阳', '潘家园']
['不明']
['石景山', '鲁谷']
['丰台', '青塔']
['顺义']
['西城', '马甸']
['朝阳', '柳芳']
['昌平', '立水桥']
['房山', '长阳']
['门头沟', '大峪']
['不明']
['朝阳', '三元桥']
['不明']
['不明']
['石景山', '苹果园']
['昌平', '沙河']
['房山', '窦店']
['海淀', '西二旗']
['朝阳', '朝阳公园']
['不明']
['东城', '安定门']
['不明']
['昌平', '沙河']
['不明']
['丰台', '马家堡']
['房山', '良乡']
['燕郊', '大厂']
['海淀', '定慧寺']
['海淀', '北航']
['通州', '通州北苑']
['朝阳', '大望路']
['海淀', '世纪城']
['大兴', '西红门']
['顺义', '机场']
['海淀']
['丰台', '六里桥']
['顺义', '石园']
['大兴', '亦庄']
['大兴', '同兴园']
['丰台']
['顺义', '顺义城区']
['昌平', '沙河']
['丰台', '丰台周边']
['昌平', '霍营']
['房山', '良乡']
['朝阳', '国展']
['昌平', '龙泽']
['通州', '次渠']
['不明']
['不明']
['海淀', '北太平庄']
['不明']
['通州']
['朝阳', '安贞']
['朝阳', '管庄']
['海淀', '学院路']
['大兴', '黄村']
['不明']
['平谷', '平谷城区']
['朝阳', '大望路']
['大兴', '亦庄']
['房山', '良乡']
['海淀', '西三旗']
['丰台', '七里庄']
['朝阳']
['宣武', '广安门外']
['不明']
['西城', '阜成门']
['密云', '密云城区']
['昌平', '回龙观']
['通州', '张家湾']
['朝阳', '红庙']
['朝阳', '大屯']
['不明']
['丰台', '刘家窑']
['昌平', '沙河']
['房山', '长阳']
['海淀', '上地']
['海淀', '清河']
['通州', '九棵树']
['西城', '地安门']
['房山']
['西城', '西直门']
['不明']
['不明']
['朝阳', '双井']
['丰台', '蒲黄榆']
['宣武', '天宁寺']
['海淀', '中关村']
['不明']
['朝阳', '定福庄']
['海淀']
['通州', '西门']
['朝阳', '垡头']
['西城', '车公庄']
['海淀']
['朝阳', '孙河']
['朝阳', '建外大街']
['东城', '雍和宫']
['东城', '东单']
['大兴']
['东城', '雍和宫']
['昌平', '回龙观']
['海淀', '北京大学']
['西城', '马甸']
['石景山', '五里坨']
['朝阳', '双桥']
['通州', '八里桥']
['丰台', '七里庄']
['西城', '马甸']
['石景山', '八角']
['大兴', '郁花园']
['不明']
['丰台', '大红门']
['丰台', '七里庄']
['朝阳', '潘家园']
['大兴', '清源']
['东城', '朝阳门']
['不明']
['朝阳', '百子湾']
['海淀', '五道口']
['海淀', '香山']
['朝阳']
['丰台', '丰益桥']
['丰台', '七里庄']
['海淀', '马连洼']
['朝阳', '高碑店']
['大兴', '亦庄']
['不明']
['丰台', '方庄']
['朝阳', 'CBD']
['朝阳', '望京']
['大兴', '西红门']
['不明']
['不明']
['朝阳']
['昌平', '天通苑']
['朝阳', '朝外大街']
['房山', '长阳']
['丰台', '新发地']
['海淀', '清华大学']
['朝阳']
['宣武', '南菜园']
['朝阳', '朝外大街']
['朝阳']
['大兴', '西红门']
['朝阳', '慈云寺']
['朝阳', '芍药居']
['不明']
['通州', '九棵树']
['朝阳', '芍药居']
['丰台', '角门']
['丰台', '总部基地']
['昌平', '霍营']
['丰台', '南苑']
['海淀']
['丰台', '六里桥']
['不明']
['丰台', '角门']
['崇文']
['通州', '西门']
['海淀', '清华大学']
['西城', '马甸']
['大兴']
['海淀', '中关村']
['丰台', '方庄']
['朝阳', '国贸']
['昌平', '霍营']
['不明']
['朝阳']
['昌平', '回龙观']
['北京周边', '永清']
['海淀', '四季青']

series = [
    {
    'name': 'OS X',
    'data': [11],
    'type': 'column'
}, {
    'name': 'Ubuntu',
    'data': [8],
    'type': 'column',
    'color':'#ff0066'
}, {
    'name': 'Windows',
    'data': [12],
    'type': 'column'
}, {
    'name': 'Others',
    'data': [29],
    'type': 'column'
}
         ]

series2 = [{'name': 'John','data': [5],'type': 'column'},{'name': 'John','data': [5],'type': 'column'}]


charts.plot(series, show='inline')
# options=dict(title=dict(text='Charts are AWESOME!!!'))

area_list = []
for i in item_info.find():
    area_list.append(i['area'][0])
area_index = list(set(area_list))
print(area_index)

['西城', '燕郊', '密云', '石景山', '海淀', '朝阳', '宣武', '平谷', '怀柔', '昌平', '附近', '大兴', '顺义', '延庆', '不明', '丰台', '北京周边', '房山', '东城', '崇文', '通州', '门头沟']

post_times = []
for index in area_index:
    post_times.append(area_list.count(index))
print(post_times)

[3376, 541, 386, 1958, 11768, 19224, 1803, 277, 381, 4963, 3, 4856, 1913, 164, 15505, 7991, 520, 1490, 3155, 1188, 4924, 464]

def data_gen(types):
    length = 0
    if length <= len(area_index):
        for area,times in zip(area_index,post_times):
            data = {
                'name':area,
                'data':[times],
                'type':types
            }
            yield data
            length += 1

data_gen('column')

<generator object data_gen at 0x104231d38>

for i in data_gen('column'):
    print(i)

{'data': [3376], 'type': 'column', 'name': '西城'}
{'data': [541], 'type': 'column', 'name': '燕郊'}
{'data': [386], 'type': 'column', 'name': '密云'}
{'data': [1958], 'type': 'column', 'name': '石景山'}
{'data': [11768], 'type': 'column', 'name': '海淀'}
{'data': [19224], 'type': 'column', 'name': '朝阳'}
{'data': [1803], 'type': 'column', 'name': '宣武'}
{'data': [277], 'type': 'column', 'name': '平谷'}
{'data': [381], 'type': 'column', 'name': '怀柔'}
{'data': [4963], 'type': 'column', 'name': '昌平'}
{'data': [3], 'type': 'column', 'name': '附近'}
{'data': [4856], 'type': 'column', 'name': '大兴'}
{'data': [1913], 'type': 'column', 'name': '顺义'}
{'data': [164], 'type': 'column', 'name': '延庆'}
{'data': [15505], 'type': 'column', 'name': '不明'}
{'data': [7991], 'type': 'column', 'name': '丰台'}
{'data': [520], 'type': 'column', 'name': '北京周边'}
{'data': [1490], 'type': 'column', 'name': '房山'}
{'data': [3155], 'type': 'column', 'name': '东城'}
{'data': [1188], 'type': 'column', 'name': '崇文'}
{'data': [4924], 'type': 'column', 'name': '通州'}
{'data': [464], 'type': 'column', 'name': '门头沟'}

series = [data for data in data_gen('column')]
charts.plot(series, show='inline', options=dict(title=dict(text='七日内北京城区二手物品发帖量')))

3-2

Adjust chart settings

Adjust chart settings

你可能感兴趣的:(3-2)