Python-DA-and-DM/知网学者画像分析/2、EDA-单位+来源+关键词统计.ipynb

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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn')\n",
    "plt.rcParams['font.sans-serif']='SimHei'\n",
    "plt.rcParams['axes.unicode_minus']=False"
   ]
  },
  {
   "cell_type": "code",
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       "      <th></th>\n",
       "      <th>Title-题名</th>\n",
       "      <th>Author-作者</th>\n",
       "      <th>Organ-单位</th>\n",
       "      <th>Source-文献来源</th>\n",
       "      <th>Keyword-关键词</th>\n",
       "      <th>Summary-摘要</th>\n",
       "      <th>PubTime-发表时间</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>应用金融科技创新服务小微企业的途径与机制研究</td>\n",
       "      <td>李慧;</td>\n",
       "      <td>中国工商银行股份有限公司天津市分行;</td>\n",
       "      <td>第三十四届中国（天津）2020’IT、网络、信息技术、电子、仪器仪表创新学术会议论文集</td>\n",
       "      <td>融资困境;;金融科技;;小微企业</td>\n",
       "      <td>近些年来,人工智能、区块链、云计算和大数据成为了各行各业的焦点,传统金融业包括商业银行在内,...</td>\n",
       "      <td>2020-08-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>金融科技研究进展与评析</td>\n",
       "      <td>鲁钊阳;张珂瑞;</td>\n",
       "      <td>西南政法大学经济学院;</td>\n",
       "      <td>金融理论与实践</td>\n",
       "      <td>金融科技;;金融创新;;金融发展</td>\n",
       "      <td>从历史的角度来看,金融科技的产生是数百年来技术变革的必然产物,大数据、区块链、云计算、人工智...</td>\n",
       "      <td>2020-08-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>打造科技创新引擎 赋能业务价值创造</td>\n",
       "      <td>陈满才;</td>\n",
       "      <td>中国工商银行金融科技部;</td>\n",
       "      <td>中国金融电脑</td>\n",
       "      <td>云计算平台;物联网;人工智能技术;普惠金融发展;服务实体经济;工作体制机制;产学研用;银行业...</td>\n",
       "      <td>当前,金融科技已逐渐从后台走向前台,成为推动金融转型升级的新引擎、金融服务实体经济的新途径、...</td>\n",
       "      <td>2020-08-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>新兴技术创新应用重塑金融服务 助力金融业数字化战略转型</td>\n",
       "      <td>赵希同;</td>\n",
       "      <td>中国银行信息科技部;</td>\n",
       "      <td>中国金融电脑</td>\n",
       "      <td>监管效能;新兴技术;区块链;差异化优势;容错纠错机制;数字化转型;创新应用;金融业;银行业;...</td>\n",
       "      <td>面对金融竞争的新常态,商业银行要顺势而为、及时转型,利用新兴技术撬动金融创新,构建以客户为中...</td>\n",
       "      <td>2020-08-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>发力新技术创新,为金融服务注入新动能</td>\n",
       "      <td>寇冠;</td>\n",
       "      <td>中信银行信息技术管理部;</td>\n",
       "      <td>中国金融电脑</td>\n",
       "      <td>中信银行;技术服务平台;物联网;平台体系;科技创新工作;区块链;人工智能;供应链金融;数字货...</td>\n",
       "      <td>中信银行秉承\"新技术驱动、价值导向\"的科技创新理念,兼顾互联网\"快\"和银行\"稳\"的特点,重点...</td>\n",
       "      <td>2020-08-07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Title-题名 Author-作者            Organ-单位  \\\n",
       "0       应用金融科技创新服务小微企业的途径与机制研究       李慧;  中国工商银行股份有限公司天津市分行;   \n",
       "1                  金融科技研究进展与评析  鲁钊阳;张珂瑞;         西南政法大学经济学院;   \n",
       "2            打造科技创新引擎 赋能业务价值创造      陈满才;        中国工商银行金融科技部;   \n",
       "3  新兴技术创新应用重塑金融服务 助力金融业数字化战略转型      赵希同;          中国银行信息科技部;   \n",
       "4           发力新技术创新,为金融服务注入新动能       寇冠;        中信银行信息技术管理部;   \n",
       "\n",
       "                                   Source-文献来源  \\\n",
       "0  第三十四届中国（天津）2020’IT、网络、信息技术、电子、仪器仪表创新学术会议论文集   \n",
       "1                                      金融理论与实践   \n",
       "2                                       中国金融电脑   \n",
       "3                                       中国金融电脑   \n",
       "4                                       中国金融电脑   \n",
       "\n",
       "                                         Keyword-关键词  \\\n",
       "0                                   融资困境;;金融科技;;小微企业   \n",
       "1                                   金融科技;;金融创新;;金融发展   \n",
       "2  云计算平台;物联网;人工智能技术;普惠金融发展;服务实体经济;工作体制机制;产学研用;银行业...   \n",
       "3  监管效能;新兴技术;区块链;差异化优势;容错纠错机制;数字化转型;创新应用;金融业;银行业;...   \n",
       "4  中信银行;技术服务平台;物联网;平台体系;科技创新工作;区块链;人工智能;供应链金融;数字货...   \n",
       "\n",
       "                                          Summary-摘要 PubTime-发表时间  \n",
       "0  近些年来,人工智能、区块链、云计算和大数据成为了各行各业的焦点,传统金融业包括商业银行在内,...   2020-08-17  \n",
       "1  从历史的角度来看,金融科技的产生是数百年来技术变革的必然产物,大数据、区块链、云计算、人工智...   2020-08-12  \n",
       "2  当前,金融科技已逐渐从后台走向前台,成为推动金融转型升级的新引擎、金融服务实体经济的新途径、...   2020-08-07  \n",
       "3  面对金融竞争的新常态,商业银行要顺势而为、及时转型,利用新兴技术撬动金融创新,构建以客户为中...   2020-08-07  \n",
       "4  中信银行秉承\"新技术驱动、价值导向\"的科技创新理念,兼顾互联网\"快\"和银行\"稳\"的特点,重点...   2020-08-07  "
      ]
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   ],
   "source": [
    "df=pd.read_csv('CNKI.csv',encoding='gbk')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 选择单位，计数并排序"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "根据单位排序结果如下：\n"
     ]
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Title-题名</th>\n",
       "      <th>Author-作者</th>\n",
       "      <th>Organ-单位</th>\n",
       "      <th>Source-文献来源</th>\n",
       "      <th>Keyword-关键词</th>\n",
       "      <th>Summary-摘要</th>\n",
       "      <th>PubTime-发表时间</th>\n",
       "      <th>数量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>民生银行开启“科技金融银行”建设新篇章</td>\n",
       "      <td>潘婧;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>新篇章;民生银行;互联网公司;兴业银行;光大银行;民生科技;</td>\n",
       "      <td>随着人工智能、云计算、大数据、区块链等技术的发展,金融科技已经成为驱动银行建立核心竞争力和转...</td>\n",
       "      <td>2018-06-15</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>746</th>\n",
       "      <td>科技创新、“云”领金融——专访腾讯金融云胡利明总经理</td>\n",
       "      <td>魏斌;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>金融云;区块链平台;总经理;人工智能;数字化转型;全球合作伙伴;金融行业;</td>\n",
       "      <td>当前,金融科技已成为推动金融行业创新发展的核心动力,云计算、大数据、人工智能、区块链等一批新...</td>\n",
       "      <td>2018-01-15</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>946</th>\n",
       "      <td>金融科技新蓝海:智能投顾</td>\n",
       "      <td>魏珺;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>智能投顾;投资组合;风险测评;</td>\n",
       "      <td>试想一下,人们不用再去研读大量的财务报告和历史数据,也不必再去听信那些不知哪里传来的小道消息...</td>\n",
       "      <td>2016-09-15</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593</th>\n",
       "      <td>科技引领·价值创新——第二届中国证券业金融科技发展研讨会成功召开</td>\n",
       "      <td>韩维蜜;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>中国证券业;研讨会;金融业;新增价值;</td>\n",
       "      <td>当前,以大数据、云计算、人工智能、区块链为代表的新技术在我国金融各领域逐步发力,成为金融业未...</td>\n",
       "      <td>2018-09-15</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>2018全球智能投资峰会在京召开</td>\n",
       "      <td>马俊;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>易方达基金;中国证券投资基金;</td>\n",
       "      <td>随着人工智能(AI)技术日渐成熟,全球资管行业开始将AI技术与资管业务相结合。由中国证券投资...</td>\n",
       "      <td>2018-09-15</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Title-题名 Author-作者 Organ-单位 Source-文献来源  \\\n",
       "643               民生银行开启“科技金融银行”建设新篇章       潘婧;    金融电子化       金融电子化   \n",
       "746        科技创新、“云”领金融——专访腾讯金融云胡利明总经理       魏斌;    金融电子化       金融电子化   \n",
       "946                      金融科技新蓝海:智能投顾       魏珺;    金融电子化       金融电子化   \n",
       "593  科技引领·价值创新——第二届中国证券业金融科技发展研讨会成功召开      韩维蜜;    金融电子化       金融电子化   \n",
       "592                  2018全球智能投资峰会在京召开       马俊;    金融电子化       金融电子化   \n",
       "\n",
       "                               Keyword-关键词  \\\n",
       "643         新篇章;民生银行;互联网公司;兴业银行;光大银行;民生科技;   \n",
       "746  金融云;区块链平台;总经理;人工智能;数字化转型;全球合作伙伴;金融行业;   \n",
       "946                        智能投顾;投资组合;风险测评;   \n",
       "593                    中国证券业;研讨会;金融业;新增价值;   \n",
       "592                        易方达基金;中国证券投资基金;   \n",
       "\n",
       "                                            Summary-摘要 PubTime-发表时间  数量  \n",
       "643  随着人工智能、云计算、大数据、区块链等技术的发展,金融科技已经成为驱动银行建立核心竞争力和转...   2018-06-15  21  \n",
       "746  当前,金融科技已成为推动金融行业创新发展的核心动力,云计算、大数据、人工智能、区块链等一批新...   2018-01-15  21  \n",
       "946  试想一下,人们不用再去研读大量的财务报告和历史数据,也不必再去听信那些不知哪里传来的小道消息...   2016-09-15  21  \n",
       "593  当前,以大数据、云计算、人工智能、区块链为代表的新技术在我国金融各领域逐步发力,成为金融业未...   2018-09-15  21  \n",
       "592  随着人工智能(AI)技术日渐成熟,全球资管行业开始将AI技术与资管业务相结合。由中国证券投资...   2018-09-15  21  "
      ]
     },
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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "organ=df['Organ-单位'].value_counts()\n",
    "organ[:10].plot(kind='bar',title='单位发表数量top10')\n",
    "df['数量']=[organ[i] for i in df['Organ-单位'] ]\n",
    "df=df.sort_values(by='数量',ascending=False)\n",
    "print(\"根据单位排序结果如下：\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 选择来源，计数并排序"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "根据单位排序结果如下：\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title-题名</th>\n",
       "      <th>Author-作者</th>\n",
       "      <th>Organ-单位</th>\n",
       "      <th>Source-文献来源</th>\n",
       "      <th>Keyword-关键词</th>\n",
       "      <th>Summary-摘要</th>\n",
       "      <th>PubTime-发表时间</th>\n",
       "      <th>数量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>民生银行开启“科技金融银行”建设新篇章</td>\n",
       "      <td>潘婧;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>新篇章;民生银行;互联网公司;兴业银行;光大银行;民生科技;</td>\n",
       "      <td>随着人工智能、云计算、大数据、区块链等技术的发展,金融科技已经成为驱动银行建立核心竞争力和转...</td>\n",
       "      <td>2018-06-15</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>守正创新 以金融科技磨砺核心竞争力</td>\n",
       "      <td>蔡钊;</td>\n",
       "      <td>中国农业银行科技与产品管理局;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>普惠金融;云计算;安全可控;大数据平台;数字化转型;人工智能;服务支撑;技术攻关;核心竞争力...</td>\n",
       "      <td>变革、创新、转型是2019年金融业的主题词。面对新一轮技术革命所引发的金融海啸,各金融同业纷...</td>\n",
       "      <td>2020-01-15</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>人工智能实现风险预警智能化</td>\n",
       "      <td>沈春泽;</td>\n",
       "      <td>苏宁金融研究院;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>人工智能;风险预警;传统金融机构;</td>\n",
       "      <td>伴随着大数据、云计算、人工智能、区块链等技术的蓬勃发展,金融科技引领信息技术服务于金融创新,...</td>\n",
       "      <td>2018-09-15</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>智慧金融 数字华夏——华夏银行金融科技转型之路</td>\n",
       "      <td>关文杰;</td>\n",
       "      <td>华夏银行;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>华夏银行;直销银行;双轮驱动;</td>\n",
       "      <td>银行与科技,是新时代发展背景推动下,改革、转型、创新、融合的新型共同体。金融科技的运用,更是...</td>\n",
       "      <td>2017-09-15</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>金融科技创新与数字中行战略</td>\n",
       "      <td>刘连舸;</td>\n",
       "      <td>中国银行;</td>\n",
       "      <td>金融电子化</td>\n",
       "      <td>金融科技创新;数字化转型;风险防控;综合金融服务;人工智能技术;中国银行;中国进出口银行;安...</td>\n",
       "      <td>当今世界正面临百年未有之大变局,新一轮科技革命和产业革命加快重塑世界,世界经济新旧动能加快转...</td>\n",
       "      <td>2019-12-15</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Title-题名 Author-作者         Organ-单位 Source-文献来源  \\\n",
       "643      民生银行开启“科技金融银行”建设新篇章       潘婧;            金融电子化       金融电子化   \n",
       "139        守正创新 以金融科技磨砺核心竞争力       蔡钊;  中国农业银行科技与产品管理局;       金融电子化   \n",
       "590            人工智能实现风险预警智能化      沈春泽;         苏宁金融研究院;       金融电子化   \n",
       "820  智慧金融 数字华夏——华夏银行金融科技转型之路      关文杰;            华夏银行;       金融电子化   \n",
       "169            金融科技创新与数字中行战略      刘连舸;            中国银行;       金融电子化   \n",
       "\n",
       "                                           Keyword-关键词  \\\n",
       "643                     新篇章;民生银行;互联网公司;兴业银行;光大银行;民生科技;   \n",
       "139  普惠金融;云计算;安全可控;大数据平台;数字化转型;人工智能;服务支撑;技术攻关;核心竞争力...   \n",
       "590                                  人工智能;风险预警;传统金融机构;   \n",
       "820                                    华夏银行;直销银行;双轮驱动;   \n",
       "169  金融科技创新;数字化转型;风险防控;综合金融服务;人工智能技术;中国银行;中国进出口银行;安...   \n",
       "\n",
       "                                            Summary-摘要 PubTime-发表时间  数量  \n",
       "643  随着人工智能、云计算、大数据、区块链等技术的发展,金融科技已经成为驱动银行建立核心竞争力和转...   2018-06-15  76  \n",
       "139  变革、创新、转型是2019年金融业的主题词。面对新一轮技术革命所引发的金融海啸,各金融同业纷...   2020-01-15  76  \n",
       "590  伴随着大数据、云计算、人工智能、区块链等技术的蓬勃发展,金融科技引领信息技术服务于金融创新,...   2018-09-15  76  \n",
       "820  银行与科技,是新时代发展背景推动下,改革、转型、创新、融合的新型共同体。金融科技的运用,更是...   2017-09-15  76  \n",
       "169  当今世界正面临百年未有之大变局,新一轮科技革命和产业革命加快重塑世界,世界经济新旧动能加快转...   2019-12-15  76  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Source=df['Source-文献来源'].value_counts()\n",
    "Source[:10].plot(kind='bar',title='文献来源数量top10')\n",
    "df['数量']=[Source[i] for i in df['Source-文献来源'] ]\n",
    "df=df.sort_values(by='数量',ascending=False)\n",
    "print(\"根据单位排序结果如下：\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 选择关键词，计数并排序  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "根据关键词排序结果如下：\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title-题名</th>\n",
       "      <th>Author-作者</th>\n",
       "      <th>Organ-单位</th>\n",
       "      <th>Source-文献来源</th>\n",
       "      <th>Keyword-关键词</th>\n",
       "      <th>Summary-摘要</th>\n",
       "      <th>PubTime-发表时间</th>\n",
       "      <th>数量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>中国金融科技产业生态分析报告</td>\n",
       "      <td>韩涵;</td>\n",
       "      <td>中国信息通信研究院技术与标准研究所;</td>\n",
       "      <td>信息安全与通信保密</td>\n",
       "      <td>云计算;金融科技;区块链;智能投顾;传统金融机构;人工智能;应用场景;征信中心;网络借贷;生...</td>\n",
       "      <td>当前金融行业进入转型发展阶段,随着人工智能、区块链、云计算、大数据等新兴技术的发展与应用,金...</td>\n",
       "      <td>2018-04-10</td>\n",
       "      <td>1035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>基于数字经济背景下的数字资产经营与管理战略研究——以商业银行为例</td>\n",
       "      <td>陆岷峰;王婷婷;</td>\n",
       "      <td>江苏银行总行;兴业国际信托有限公司;</td>\n",
       "      <td>西南金融</td>\n",
       "      <td>数字经济;;数字资产;;无形资产;;资产管理;;金融科技;;大数据;;区块链;;云计算;;人...</td>\n",
       "      <td>发展数字经济是当前经济升级、产业结构优化的重要举措,数字经济发展的过程也是各经济主体数字化过...</td>\n",
       "      <td>2019-11-05</td>\n",
       "      <td>1014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>金融科技会不会成为下一个风口</td>\n",
       "      <td>董毅智;</td>\n",
       "      <td>法人</td>\n",
       "      <td>法人</td>\n",
       "      <td>金融理财服务;互联网金融;金融科技;金融业;人工智能;云计算;智能投顾;区块链技术;移动支付...</td>\n",
       "      <td>作为互联网金融的新标签,金融科技将是金融业未来的主流趋。然而,中国金融科技行业看似前景无限,...</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>金融科技 监管科技的优化性赋能</td>\n",
       "      <td>张锐;</td>\n",
       "      <td>中外企业文化</td>\n",
       "      <td>中外企业文化</td>\n",
       "      <td>监管科技;合规成本;智能投顾;区块链;监管者;云计算;金融交易;金融科技;人工智能;新加坡;...</td>\n",
       "      <td>作为一股持续的力量,科技朝着金融肌体的强势渗透正催发与激荡出前所未有的景观——传统金融的商业...</td>\n",
       "      <td>2019-04-10</td>\n",
       "      <td>988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>解密金融科技</td>\n",
       "      <td>冯晓霞;</td>\n",
       "      <td>光彩</td>\n",
       "      <td>光彩</td>\n",
       "      <td>金融科技;互联网金融;金融业;余额宝;人工智能;区块链;金融行业;智能投顾;</td>\n",
       "      <td>大数据、云计算、区块链、数字货币、人工智能等一系列新技术为传统金融的基础框架和生态体系带来全...</td>\n",
       "      <td>2018-01-05</td>\n",
       "      <td>971</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Title-题名 Author-作者            Organ-单位  \\\n",
       "688                    中国金融科技产业生态分析报告       韩涵;  中国信息通信研究院技术与标准研究所;   \n",
       "206  基于数字经济背景下的数字资产经营与管理战略研究——以商业银行为例  陆岷峰;王婷婷;  江苏银行总行;兴业国际信托有限公司;   \n",
       "783                    金融科技会不会成为下一个风口      董毅智;                  法人   \n",
       "436                   金融科技 监管科技的优化性赋能       张锐;              中外企业文化   \n",
       "754                            解密金融科技      冯晓霞;                  光彩   \n",
       "\n",
       "    Source-文献来源                                        Keyword-关键词  \\\n",
       "688   信息安全与通信保密  云计算;金融科技;区块链;智能投顾;传统金融机构;人工智能;应用场景;征信中心;网络借贷;生...   \n",
       "206        西南金融  数字经济;;数字资产;;无形资产;;资产管理;;金融科技;;大数据;;区块链;;云计算;;人...   \n",
       "783          法人  金融理财服务;互联网金融;金融科技;金融业;人工智能;云计算;智能投顾;区块链技术;移动支付...   \n",
       "436      中外企业文化  监管科技;合规成本;智能投顾;区块链;监管者;云计算;金融交易;金融科技;人工智能;新加坡;...   \n",
       "754          光彩             金融科技;互联网金融;金融业;余额宝;人工智能;区块链;金融行业;智能投顾;   \n",
       "\n",
       "                                            Summary-摘要 PubTime-发表时间    数量  \n",
       "688  当前金融行业进入转型发展阶段,随着人工智能、区块链、云计算、大数据等新兴技术的发展与应用,金...   2018-04-10  1035  \n",
       "206  发展数字经济是当前经济升级、产业结构优化的重要举措,数字经济发展的过程也是各经济主体数字化过...   2019-11-05  1014  \n",
       "783  作为互联网金融的新标签,金融科技将是金融业未来的主流趋。然而,中国金融科技行业看似前景无限,...   2017-11-01   998  \n",
       "436  作为一股持续的力量,科技朝着金融肌体的强势渗透正催发与激荡出前所未有的景观——传统金融的商业...   2019-04-10   988  \n",
       "754  大数据、云计算、区块链、数字货币、人工智能等一系列新技术为传统金融的基础框架和生态体系带来全...   2018-01-05   971  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "keywords={}\n",
    "exponet=[]#每篇文章各个关键词出现次数之和，排序依据\n",
    "for keys in df['Keyword-关键词']:\n",
    "    key_list=keys.split(';')\n",
    "    for key in key_list:\n",
    "        if key=='':\n",
    "            continue\n",
    "        if key in keywords:\n",
    "            keywords[key]+=1\n",
    "        else:\n",
    "            keywords[key]=1\n",
    "keywords=dict(sorted(keywords.items(),key=lambda x:x[1],reverse=True)[:15])\n",
    "plt.title('关键词Top15')\n",
    "plt.bar(keywords.keys(),keywords.values())\n",
    "plt.xticks(rotation=30)\n",
    "#排序DataFrame\n",
    "for keys in df['Keyword-关键词']:\n",
    "    score=0\n",
    "    for key in keys.split(';'):\n",
    "        try:\n",
    "            score+=keywords[key]\n",
    "        except:\n",
    "            pass\n",
    "    exponet.append(score)\n",
    "df['数量']=exponet\n",
    "df=df.sort_values(by='数量',ascending=False)\n",
    "print(\"根据关键词排序结果如下：\")\n",
    "df.head()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}