补充计算
This commit is contained in:
@@ -6,8 +6,8 @@
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-01-09T06:12:53.680561Z",
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"start_time": "2025-01-09T06:12:52.994179Z"
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"end_time": "2025-01-10T02:38:31.764906Z",
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"start_time": "2025-01-10T02:38:30.972805Z"
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}
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"source": [
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@@ -16,7 +16,7 @@
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"ts_pro = ts.pro_api(token=\"64ebff4fa679167600b905ee45dd88e76f3963c0ff39157f3f085f0e\")"
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],
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"outputs": [],
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"execution_count": 2
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"execution_count": 1
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{
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"metadata": {
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@@ -42,41 +42,39 @@
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-01-09T06:21:41.656501Z",
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"start_time": "2025-01-09T06:21:41.620154Z"
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"end_time": "2025-01-10T02:54:34.367006Z",
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"start_time": "2025-01-10T02:54:34.363702Z"
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}
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},
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"cell_type": "code",
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"source": "import pandas as pd",
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"id": "7e3783e99491ba52",
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"outputs": [],
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"execution_count": 19
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-01-10T03:01:43.076024Z",
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"start_time": "2025-01-10T03:01:42.644700Z"
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}
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},
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"cell_type": "code",
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"source": [
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"import pandas as pd\n",
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"\n",
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"df = pd.read_csv('../temp/财务报表/利润表/2000.csv')\n",
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"# 移除第一列\n",
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"df = df.iloc[:, 1:]\n",
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"df.set_index('ts_code', inplace=True)\n",
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"df = df[[\"total_revenue\", \"revenue\", \"total_cogs\",\"oper_exp\",\"rd_exp\"]]\n",
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"df"
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"df_income = ts_pro.income(ts_code=\"600519.SH\", period=\"20231231\", fields=\"ts_code,end_date,n_income\")\n",
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"df_balancesheet = ts_pro.balancesheet(ts_code=\"600519.SH\", period=\"20231231\",\n",
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" fields=\"ts_code,end_date,total_hldr_eqy_exc_min_int\")\n",
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"merged_df = pd.merge(df_income, df_balancesheet, on=['ts_code', 'end_date'])\n",
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"merged_df['roe'] = merged_df['n_income'] / merged_df['total_hldr_eqy_exc_min_int']\n",
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"merged_df"
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],
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"id": "7e3783e99491ba52",
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"id": "575590399bf15e70",
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"outputs": [
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{
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"data": {
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"text/plain": [
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" total_revenue revenue total_cogs oper_exp rd_exp\n",
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"ts_code \n",
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"688183.SH 6.282300e+08 6.282300e+08 NaN NaN NaN\n",
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"601939.SH 5.349400e+10 5.349400e+10 4.329800e+10 4.329800e+10 NaN\n",
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"600074.SH 4.957749e+08 4.957749e+08 4.287281e+08 NaN NaN\n",
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"600699.SH 2.276245e+08 2.276245e+08 1.765832e+08 NaN NaN\n",
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"600779.SH 1.280558e+09 1.280558e+09 1.080933e+09 NaN NaN\n",
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"... ... ... ... ... ...\n",
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"600438.SH 3.533686e+08 3.533686e+08 3.194762e+08 NaN NaN\n",
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"600493.SH 1.421895e+08 1.421895e+08 1.250877e+08 NaN NaN\n",
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"600572.SH 1.944064e+08 1.944064e+08 1.459411e+08 NaN NaN\n",
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"600986.SH 2.563444e+08 2.563444e+08 2.089118e+08 NaN NaN\n",
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"600982.SH 8.646501e+07 8.646501e+07 6.824224e+07 NaN NaN\n",
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"\n",
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"[1264 rows x 5 columns]"
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" ts_code end_date n_income total_hldr_eqy_exc_min_int roe\n",
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"0 600519.SH 20231231 7.752148e+10 2.156686e+11 0.359447"
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"<div>\n",
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@@ -97,130 +95,451 @@
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>total_revenue</th>\n",
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" <th>revenue</th>\n",
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" <th>total_cogs</th>\n",
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" <th>oper_exp</th>\n",
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" <th>rd_exp</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ts_code</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th>end_date</th>\n",
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" <th>n_income</th>\n",
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" <th>total_hldr_eqy_exc_min_int</th>\n",
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" <th>roe</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>688183.SH</th>\n",
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" <td>6.282300e+08</td>\n",
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" <td>6.282300e+08</td>\n",
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" <tr>\n",
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" <th>601939.SH</th>\n",
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" <td>5.349400e+10</td>\n",
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" <td>5.349400e+10</td>\n",
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" <td>4.329800e+10</td>\n",
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" <td>4.329800e+10</td>\n",
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" <td>NaN</td>\n",
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" <th>600074.SH</th>\n",
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" <td>4.957749e+08</td>\n",
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" <td>2.276245e+08</td>\n",
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" <td>2.276245e+08</td>\n",
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" <td>1.765832e+08</td>\n",
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" <th>600779.SH</th>\n",
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" <td>1.280558e+09</td>\n",
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" <td>1.080933e+09</td>\n",
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" <td>NaN</td>\n",
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" <td>...</td>\n",
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" <th>600438.SH</th>\n",
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" <td>3.533686e+08</td>\n",
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" <td>3.533686e+08</td>\n",
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" <td>NaN</td>\n",
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" <th>600493.SH</th>\n",
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" <td>1.421895e+08</td>\n",
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" <th>600572.SH</th>\n",
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" <td>1.944064e+08</td>\n",
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" <td>NaN</td>\n",
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" <th>600986.SH</th>\n",
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" <td>2.563444e+08</td>\n",
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" <tr>\n",
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" <th>600982.SH</th>\n",
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" <td>8.646501e+07</td>\n",
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" <th>0</th>\n",
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" <td>600519.SH</td>\n",
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" <td>20231231</td>\n",
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" <td>7.752148e+10</td>\n",
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" <td>2.156686e+11</td>\n",
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" <td>0.359447</td>\n",
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" </tr>\n",
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||||
" </tbody>\n",
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"</table>\n",
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"<p>1264 rows × 5 columns</p>\n",
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"</div>"
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"execution_count": 12,
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"execution_count": 31,
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"metadata": {},
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"execution_count": 31
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{
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"end_time": "2025-01-10T02:59:32.764968Z",
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"start_time": "2025-01-10T02:59:32.601657Z"
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}
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},
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"cell_type": "code",
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"source": "ts_pro.fina_indicator(ts_code=\"600519.SH\", period=\"20231231\")[\"roe\"]",
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"id": "d59f62a613379fbd",
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0 36.1755\n",
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"Name: roe, dtype: float64"
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]
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},
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||||
"execution_count": 26,
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"metadata": {},
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||||
"output_type": "execute_result"
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"execution_count": 26
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{
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"metadata": {
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"ExecuteTime": {
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||||
"end_time": "2025-01-10T04:01:33.511246Z",
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"start_time": "2025-01-10T04:01:33.382955Z"
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}
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},
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"cell_type": "code",
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"source": "ts_pro.income(ts_code='600519.SH', start_date='20220101', end_date='20241231', fields='end_date,n_income')",
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"id": "c43925cfb5552cd9",
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"outputs": [
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{
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"data": {
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"text/plain": [
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" end_date n_income\n",
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"0 20240930 6.303146e+10\n",
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"1 20240630 4.317691e+10\n",
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"2 20240331 2.488235e+10\n",
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"3 20231231 7.752148e+10\n",
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"4 20230930 5.482717e+10\n",
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"5 20230630 3.733197e+10\n",
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"6 20230331 2.152473e+10\n",
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"7 20221231 6.537514e+10\n",
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"8 20221231 6.537514e+10\n",
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"9 20220930 4.631399e+10\n",
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"10 20220630 3.110536e+10\n",
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"11 20220331 1.795212e+10\n",
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"12 20211231 5.572053e+10\n",
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"13 20211231 5.572053e+10"
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],
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>end_date</th>\n",
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" <th>n_income</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>20240930</td>\n",
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" <td>6.303146e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>20240630</td>\n",
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" <td>4.317691e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>20240331</td>\n",
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" <td>2.488235e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>20231231</td>\n",
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" <td>7.752148e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>20230930</td>\n",
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" <td>5.482717e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>20230630</td>\n",
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||||
" <td>3.733197e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>20230331</td>\n",
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" <td>2.152473e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>20221231</td>\n",
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" <td>6.537514e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>20221231</td>\n",
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" <td>6.537514e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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||||
" <th>9</th>\n",
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" <td>20220930</td>\n",
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" <td>4.631399e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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||||
" <td>20220630</td>\n",
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||||
" <td>3.110536e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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||||
" <th>11</th>\n",
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" <td>20220331</td>\n",
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||||
" <td>1.795212e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>12</th>\n",
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" <td>20211231</td>\n",
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" <td>5.572053e+10</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>13</th>\n",
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" <td>20211231</td>\n",
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" <td>5.572053e+10</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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]
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},
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"execution_count": 40,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"execution_count": 40
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},
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{
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||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-01-10T04:17:56.196027Z",
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||||
"start_time": "2025-01-10T04:17:55.879469Z"
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||||
}
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||||
},
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"cell_type": "code",
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"source": [
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||||
"# 获取净利润\n",
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||||
"income_df = ts_pro.income(ts_code='600519.SH', start_date='20220101', end_date='20241231', fields='end_date,n_income')\n",
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||||
"net_profit = income_df[income_df['end_date'] == '20231231']['n_income'].values[0]\n",
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"\n",
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||||
"# 获取期初和期末的股东权益和总资产\n",
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||||
"balancesheet_df = ts_pro.balancesheet(ts_code='600519.SH', start_date='20220101', end_date='20241231',\n",
|
||||
" fields='end_date,total_hldr_eqy_exc_min_int,total_assets')\n",
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||||
"eqy_initial = balancesheet_df[balancesheet_df['end_date'] == '20230331']['total_hldr_eqy_exc_min_int'].values[0]\n",
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||||
"eqy_final = balancesheet_df[balancesheet_df['end_date'] == '20231231']['total_hldr_eqy_exc_min_int'].values[0]\n",
|
||||
"total_assets_initial = balancesheet_df[balancesheet_df['end_date'] == '20230331']['total_assets'].values[0]\n",
|
||||
"total_assets_final = balancesheet_df[balancesheet_df['end_date'] == '20231231']['total_assets'].values[0]\n",
|
||||
"\n",
|
||||
"# 计算平均股东权益和平均总资产\n",
|
||||
"avg_eqy = (eqy_initial + eqy_final) / 2\n",
|
||||
"avg_assets = (total_assets_initial + total_assets_final) / 2\n",
|
||||
"\n",
|
||||
"# 计算ROE和ROA\n",
|
||||
"roe = net_profit / avg_eqy\n",
|
||||
"roa = net_profit / avg_assets\n",
|
||||
"\n",
|
||||
"print(f'ROE: {roe:.4f}')\n",
|
||||
"print(f'ROA: {roa:.4f}')"
|
||||
],
|
||||
"id": "caf1a1555d4c972e",
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"ROE: 0.3573\n",
|
||||
"ROA: 0.2919\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"execution_count": 43
|
||||
},
|
||||
{
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-01-10T04:19:57.750533Z",
|
||||
"start_time": "2025-01-10T04:19:57.531524Z"
|
||||
}
|
||||
},
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"# 获取营业收入净额\n",
|
||||
"income_df = ts_pro.income(ts_code='600519.SH', start_date='20220101', end_date='20241231', fields='end_date,revenue')\n",
|
||||
"revenue = income_df[income_df['end_date'] == '20231231']['revenue'].values[0]\n",
|
||||
"\n",
|
||||
"# 获取期初（上一年12月31日）和期末（当前年12月31日）的总资产\n",
|
||||
"balancesheet_df = ts_pro.balancesheet(ts_code='600519.SH', start_date='20220101', end_date='20241231',\n",
|
||||
" fields='end_date,total_assets')\n",
|
||||
"total_assets_initial = balancesheet_df[balancesheet_df['end_date'] == '20221231']['total_assets'].values[0]\n",
|
||||
"total_assets_final = balancesheet_df[balancesheet_df['end_date'] == '20231231']['total_assets'].values[0]\n",
|
||||
"\n",
|
||||
"# 计算平均总资产\n",
|
||||
"avg_assets = (total_assets_initial + total_assets_final) / 2\n",
|
||||
"\n",
|
||||
"# 计算总资产周转率\n",
|
||||
"total_asset_turnover = revenue / avg_assets\n",
|
||||
"\n",
|
||||
"print(f'总资产周转率: {total_asset_turnover:.4f}')"
|
||||
],
|
||||
"id": "49488c6640beb4ed",
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"总资产周转率: 0.5604\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"execution_count": 48
|
||||
},
|
||||
{
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-01-10T04:23:50.762070Z",
|
||||
"start_time": "2025-01-10T04:23:50.585818Z"
|
||||
}
|
||||
},
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"# 获取期末的现金及现金等价物和总资产\n",
|
||||
"balancesheet_df = ts_pro.balancesheet(ts_code='600519.SH', start_date='20220101', end_date='20241231',\n",
|
||||
" fields='end_date, money_cap, total_assets')\n",
|
||||
"cash_and_equivalents = balancesheet_df[balancesheet_df['end_date'] == '20231231']['money_cap'].values[0]\n",
|
||||
"total_assets = balancesheet_df[balancesheet_df['end_date'] == '20231231']['total_assets'].values[0]\n",
|
||||
"\n",
|
||||
"# 计算现金和现金等价物总和占总资产的比率\n",
|
||||
"cash_ratio = cash_and_equivalents / total_assets\n",
|
||||
"\n",
|
||||
"print(f'现金和现金等价物总和占总资产的比率: {cash_ratio:.4f}')"
|
||||
],
|
||||
"id": "526ef46373e1c8fe",
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"现金和现金等价物总和占总资产的比率: 0.2533\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"execution_count": 49
|
||||
},
|
||||
{
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-01-10T04:27:11.461667Z",
|
||||
"start_time": "2025-01-10T04:27:11.160878Z"
|
||||
}
|
||||
},
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"# 获取营业收入\n",
|
||||
"income_df = ts_pro.income(ts_code='600519.SH', start_date='20220101', end_date='20241231', fields='end_date, revenue')\n",
|
||||
"revenue = income_df[income_df['end_date'] == '20231231']['revenue'].values[0]\n",
|
||||
"\n",
|
||||
"# 获取期初和期末的应收账款\n",
|
||||
"balancesheet_df = ts_pro.balancesheet(ts_code='600519.SH', start_date='20220101', end_date='20241231',\n",
|
||||
" fields='end_date, accounts_receiv')\n",
|
||||
"accounts_receiv_initial = balancesheet_df[balancesheet_df['end_date'] == '20221231']['accounts_receiv'].values[0]\n",
|
||||
"accounts_receiv_final = balancesheet_df[balancesheet_df['end_date'] == '20231231']['accounts_receiv'].values[0]\n",
|
||||
"\n",
|
||||
"# 计算平均应收账款余额\n",
|
||||
"avg_accounts_receiv = (accounts_receiv_initial + accounts_receiv_final) / 2\n",
|
||||
"\n",
|
||||
"# 计算应收账款周转率\n",
|
||||
"accounts_receiv_turnover = revenue / avg_accounts_receiv\n",
|
||||
"\n",
|
||||
"# 计算收现日数\n",
|
||||
"collection_period = 365 / accounts_receiv_turnover\n",
|
||||
"\n",
|
||||
"print(f'收现日数: {collection_period:.2f} 天')"
|
||||
],
|
||||
"id": "dca87ef21cf425ee",
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"收现日数: 0.10 天\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"execution_count": 50
|
||||
},
|
||||
{
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-01-10T07:10:09.564888Z",
|
||||
"start_time": "2025-01-10T07:10:08.771019Z"
|
||||
}
|
||||
},
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"code = \"000672.SZ\"\n",
|
||||
"year = \"2023\"\n",
|
||||
"period = f\"{year}1231\"\n",
|
||||
"last_period = f\"{int(year) - 1}1231\"\n",
|
||||
"\n",
|
||||
"balancesheet_fields = \"total_assets,total_hldr_eqy_inc_min_int,money_cap,accounts_receiv,inventories\"\n",
|
||||
"balancesheet_df = ts_pro.balancesheet(ts_code=code, period=period, fields=balancesheet_fields)\n",
|
||||
"last_balancesheet_df = ts_pro.balancesheet(ts_code=code, period=last_period, fields=balancesheet_fields)\n",
|
||||
"\n",
|
||||
"income_fields = \"n_income,revenue,total_revenue,oper_cost,operate_profit,total_opcost\"\n",
|
||||
"income_df = ts_pro.income(ts_code=code, period=period, fields=income_fields)\n",
|
||||
"last_income_df = ts_pro.income(ts_code=code, period=last_period, fields=income_fields)\n",
|
||||
"\n",
|
||||
"cashflow_fields = \"cash_paid_for_trade_fin\"\n",
|
||||
"cashflow_df = ts_pro.cashflow(ts_code=code, period=period, fields=cashflow_fields)\n",
|
||||
"last_cashflow_df = ts_pro.cashflow(ts_code=code, period=last_period, fields=cashflow_fields)"
|
||||
],
|
||||
"id": "524a18f138a84f4a",
|
||||
"outputs": [],
|
||||
"execution_count": null,
|
||||
"source": "",
|
||||
"id": "575590399bf15e70"
|
||||
"execution_count": 96
|
||||
},
|
||||
{
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2025-01-10T07:10:35.283014Z",
|
||||
"start_time": "2025-01-10T07:10:35.268876Z"
|
||||
}
|
||||
},
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"# ROE & ROA\n",
|
||||
"roe = income_df[\"n_income\"].values[0] / ((balancesheet_df[\"total_hldr_eqy_inc_min_int\"].values[0] +\n",
|
||||
" last_balancesheet_df[\"total_hldr_eqy_inc_min_int\"].values[0]) / 2)\n",
|
||||
"roa = income_df[\"n_income\"].values[0] / (\n",
|
||||
" (balancesheet_df[\"total_assets\"].values[0] + last_balancesheet_df[\"total_assets\"].values[0]) / 2)\n",
|
||||
"print(f\"ROE: {roe:.4f}\")\n",
|
||||
"print(f\"ROA: {roa:.4f}\")\n",
|
||||
"\n",
|
||||
"# 净利润（转换为百万为单位）\n",
|
||||
"net_profit = income_df[\"n_income\"].values[0] / 1000000\n",
|
||||
"print(f\"净利润: {net_profit:.4f}百万\")\n",
|
||||
"\n",
|
||||
"# 总资产周转率\n",
|
||||
"total_asset_turnover = income_df[\"total_revenue\"].values[0] / (\n",
|
||||
" (balancesheet_df[\"total_assets\"].values[0] + last_balancesheet_df[\"total_assets\"].values[0]) / 2)\n",
|
||||
"print(f\"总资产周转率: {total_asset_turnover:.4f}\")\n",
|
||||
"\n",
|
||||
"# 现金比率\n",
|
||||
"cash_ratio = + balancesheet_df[\"money_cap\"].values[0] / balancesheet_df[\"total_assets\"].values[0]\n",
|
||||
"print(f\"现金比率: {cash_ratio:.4f}\")\n",
|
||||
"\n",
|
||||
"# 收现日数\n",
|
||||
"collection_period = 360 / (income_df[\"total_revenue\"].values[0] / balancesheet_df[\"accounts_receiv\"].values[0])\n",
|
||||
"print(f\"收现日数: {collection_period:.2f} 天\")\n",
|
||||
"\n",
|
||||
"# 销货日数\n",
|
||||
"sales_period = 360 / ((income_df[\"total_revenue\"].values[0]) / balancesheet_df[\"inventories\"].values[0])\n",
|
||||
"print(f\"销货日数: {sales_period:.2f} 天\")\n",
|
||||
"\n",
|
||||
"# 毛利率\n",
|
||||
"gross_profit_margin = (income_df[\"total_revenue\"].values[0] - income_df[\"oper_cost\"].values[0]) / income_df[\n",
|
||||
" \"revenue\"].values[0]\n",
|
||||
"print(f\"毛利率: {gross_profit_margin:.4f}\")\n",
|
||||
"\n",
|
||||
"# 经营利润率\n",
|
||||
"operating_profit_margin = income_df[\"operate_profit\"].values[0] / income_df[\"total_revenue\"].values[0]\n",
|
||||
"print(f\"经营利润率: {operating_profit_margin:.4f}\")\n",
|
||||
"print(f\"经营安全边际率: {(operating_profit_margin / gross_profit_margin):.4f}\")"
|
||||
],
|
||||
"id": "8707ca42171475a8",
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"ROE: 0.0747\n",
|
||||
"ROA: 0.0411\n",
|
||||
"净利润: 701.3791百万\n",
|
||||
"总资产周转率: 0.3745\n",
|
||||
"现金比率: 0.2253\n",
|
||||
"收现日数: 12.95 天\n",
|
||||
"销货日数: 59.70 天\n",
|
||||
"毛利率: 0.2775\n",
|
||||
"经营利润率: 0.1474\n",
|
||||
"经营安全边际率: 0.5312\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"execution_count": 98
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user