### GET macro_usa_house_starts Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves US new house starts annualized report data from January 1970 to present. Returns historical data with current values, forecasted values, and previous values measured in units of 10,000 homes. Single request returns all available historical records. ```APIDOC ## GET macro_usa_house_starts ### Description US new house starts annualized report providing historical housing construction data from 1970 to present. Data includes current values, forecasted values, and previous period values. ### Method GET ### Endpoint macro_usa_house_starts ### Target URL https://datacenter.jin10.com/reportType/dc_usa_house_starts ### Parameters #### Query Parameters None - No input parameters required ### Response #### Success Response (200) - **商品** (object) - Product/Report name - **日期** (object) - Date of the report - **今值** (float64) - Current value (Unit: 10,000 homes) - **预测值** (float64) - Forecasted value (Unit: 10,000 homes) - **前值** (float64) - Previous value (Unit: 10,000 homes) ### Request Example ```python import akshare as ak macro_usa_house_starts_df = ak.macro_usa_house_starts() print(macro_usa_house_starts_df) ``` ### Response Example ``` 商品 日期 今值 预测值 前值 0 美国新屋开工总数年化报告 1970-01-01 133.0 NaN NaN 1 美国新屋开工总数年化报告 1970-02-01 109.0 NaN 133.0 2 美国新屋开工总数年化报告 1970-03-01 131.0 NaN 109.0 645 美国新屋开工总数年化报告 2023-12-19 156.0 136.0 135.9 646 美国新屋开工总数年化报告 2024-01-18 146.0 142.6 152.5 649 美国新屋开工总数年化报告 2024-04-16 NaN NaN 152.1 [650 rows x 5 columns] ``` ### Data Range From: 1970-01-01 to Present ### Limitations Single request returns all historical data ``` -------------------------------- ### Get Canada New Housing Starts Data using AkShare (Python) Source: https://akshare.akfamily.xyz/data/macro/macro This snippet shows how to obtain historical new housing starts data for Canada via the `akshare` library. The `macro_canada_new_house_rate` function fetches information from Eastmoney, outputting a DataFrame with '时间', '前值', '现值', and '发布日期' columns. It requires no input parameters and returns all available historical data. ```python import akshare as ak macro_canada_new_house_rate_df = ak.macro_canada_new_house_rate() print(macro_canada_new_house_rate_df) ``` -------------------------------- ### GET /macro_canada_new_house_rate Source: https://akshare.akfamily.xyz/data/macro/macro This endpoint retrieves Canada's new housing starts data from Eastmoney financial data. It returns all historical data in a single call. ```APIDOC ## GET /macro_canada_new_house_rate ### Description This endpoint retrieves Canada's new housing starts data from Eastmoney financial data. It returns all historical data in a single call. ### Method GET ### Endpoint /macro_canada_new_house_rate ### Parameters #### Path Parameters - No path parameters. #### Query Parameters - No query parameters. #### Request Body - No request body. ### Request Example ```python import akshare as ak macro_canada_new_house_rate_df = ak.macro_canada_new_house_rate() print(macro_canada_new_house_rate_df) ``` ### Response #### Success Response (200) - **时间** (object) - Time period. - **前值** (float64) - Previous value, unit: 万. - **现值** (float64) - Current value, unit: 万. - **发布日期** (object) - Release date. #### Response Example ```json [ { "时间": "2022年10月", "前值": 29.96, "现值": 26.71, "发布日期": "2022-11-16" }, { "时间": "2022年09月", "前值": 26.74, "现值": 29.96, "发布日期": "2022-10-14" }, { "时间": "2022年08月", "前值": 27.53, "现值": 26.74, "发布日期": "2022-09-16" }, { "时间": "2022年07月", "前值": 27.37, "现值": 27.53, "发布日期": "2022-08-16" }, { "时间": "2022年06月", "前值": 28.73, "现值": 27.37, "发布日期": "2022-07-18" } ] ``` ``` -------------------------------- ### GET /macro_euro_ppi_mom Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves the Eurozone PPI (Producer Price Index) month-over-month report. This endpoint provides historical PPI data. ```APIDOC ## GET /macro_euro_ppi_mom ### Description Retrieves the Eurozone PPI month-over-month report, providing historical PPI data from 1981-03-01 to the present. ### Method GET ### Endpoint /macro_euro_ppi_mom ### Parameters #### Path Parameters - **None** #### Query Parameters - **None** #### Request Body - **None** ### Request Example ``` { "example": "No request body required" } ``` ### Response #### Success Response (200) - **商品** (object) - Data series name - **日期** (object) - Date of the data - **今值** (float64) - Current value, unit: % - **预测值** (float64) - Forecast value, unit: % - **前值** (float64) - Previous value, unit: % #### Response Example ``` { "商品": "欧元区PPI月率", "日期": "1981-03-01", "今值": 1.0, "预测值": null, "前值": null } ``` ``` -------------------------------- ### GET /macro_euro_retail_sales_mom Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves the Eurozone retail sales month-over-month report. This endpoint provides historical retail sales data. ```APIDOC ## GET /macro_euro_retail_sales_mom ### Description Retrieves the Eurozone retail sales month-over-month report, providing historical retail sales data from 2000-03-01 to the present. ### Method GET ### Endpoint /macro_euro_retail_sales_mom ### Parameters #### Path Parameters - **None** #### Query Parameters - **None** #### Request Body - **None** ### Request Example ``` { "example": "No request body required" } ``` ### Response #### Success Response (200) - **商品** (object) - Data series name - **日期** (object) - Date of the data - **今值** (float64) - Current value, unit: % - **预测值** (float64) - Forecast value, unit: % - **前值** (float64) - Previous value, unit: % #### Response Example ``` { "商品": "欧元区零售销售月率", "日期": "2000-03-01", "今值": 0.7, "预测值": null, "前值": null } ``` ``` -------------------------------- ### GET /macro_euro_employment_change_qoq Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves the Eurozone employment change quarter-over-quarter report. This endpoint provides historical employment data. ```APIDOC ## GET /macro_euro_employment_change_qoq ### Description Retrieves the Eurozone employment change quarter-over-quarter report, providing historical employment data from 2008-03-17 to the present. ### Method GET ### Endpoint /macro_euro_employment_change_qoq ### Parameters #### Path Parameters - **None** #### Query Parameters - **None** #### Request Body - **None** ### Request Example ``` { "example": "No request body required" } ``` ### Response #### Success Response (200) - **商品** (object) - Data series name - **日期** (object) - Date of the data - **今值** (float64) - Current value, unit: % - **预测值** (float64) - Forecast value, unit: % - **前值** (float64) - Previous value, unit: % #### Response Example ``` { "商品": "欧元区季调后就业人数季率", "日期": "2008-03-17", "今值": 0.2, "预测值": 0.0, "前值": 0.3 } ``` ``` -------------------------------- ### GET /macro_china_qyspjg Source: https://akshare.akfamily.xyz/data/macro/macro Fetches the Enterprise Commodity Price Index for China from Eastmoney, with data available from 2005 onwards. ```APIDOC ## GET /macro_china_qyspjg ### Description Fetches the Enterprise Commodity Price Index for China from Eastmoney, with data available from 2005 onwards. ### Method GET ### Endpoint /macro_china_qyspjg ### Parameters #### Path Parameters None #### Query Parameters None #### Request Body None ### Request Example None ### Response #### Success Response (200) - **月份** (object) - - **总指数-指数值** (float64) - - **总指数-同比增长** (float64) - 注意单位: % - **总指数-环比增长** (float64) - 注意单位: % - **农产品-指数值** (float64) - - **农产品-同比增长** (float64) - 注意单位: % - **农产品-环比增长** (float64) - 注意单位: % - **矿产品-指数值** (float64) - - **矿产品-同比增长** (float64) - 注意单位: % - **矿产品-环比增长** (float64) - 注意单位: % - **煤油电-指数值** (float64) - - **煤油电-同比增长** (float64) - 注意单位: % - **煤油电-环比增长** (float64) - 注意单位: % #### Response Example { "data": [ { "月份": "2022年09月份", "总指数-指数值": 101.70, "总指数-同比增长": -5.746061, "总指数-环比增长": -2.272727, "农产品-指数值": null, "农产品-同比增长": null, "农产品-环比增长": null, "矿产品-指数值": null, "矿产品-同比增长": null, "矿产品-环比增长": null, "煤油电-指数值": 111.80, "煤油电-同比增长": -4.931973, "煤油电-环比增长": -2.272727 }, { "月份": "2022年08月份", "总指数-指数值": 102.30, "总指数-同比增长": -4.925651, "总指数-环比增长": -1.970865, "农产品-指数值": null, "农产品-同比增长": null, "农产品-环比增长": null, "矿产品-指数值": null, "矿产品-同比增长": null, "矿产品-环比增长": null, "煤油电-指数值": 114.40, "煤油电-同比增长": -0.608167, "煤油电-环比增长": -1.970865 }, { "月份": "2022年07月份", "总指数-指数值": 103.10, "总指数-同比增长": -4.448563, "总指数-环比增长": -3.233831, "农产品-指数值": null, "农产品-同比增长": null, "农产品-环比增长": null, "矿产品-指数值": null, "矿产品-同比增长": null, "矿产品-环比增长": null, "煤油电-指数值": 116.70, "煤油电-同比增长": 1.214224, "煤油电-环比增长": -3.233831 } ] } ``` -------------------------------- ### Fetch US New House Starts Annualized Report with AKShare Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves US new house starts annualized report data from Jin10 datacenter. Returns historical data from January 1, 1970 to present with columns for commodity name, date, current value, forecasted value, and previous value. All values are in units of 10,000 homes (万户). Single API call returns all available historical records. ```python import akshare as ak macro_usa_house_starts_df = ak.macro_usa_house_starts() print(macro_usa_house_starts_df) ``` -------------------------------- ### Fetch Eurozone Manufacturing PMI Initial Report - Python Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves Eurozone manufacturing PMI initial values using the macro_euro_manufacturing_pmi() function from AKShare. Returns historical data from 2008-02-22 to present with current, forecast, and previous values in percentage format. No input parameters required; returns all historical data in a single call. ```python import akshare as ak macro_euro_manufacturing_pmi_df = ak.macro_euro_manufacturing_pmi() print(macro_euro_manufacturing_pmi_df) ``` -------------------------------- ### Fetch US Initial Jobless Claims Report with AKShare (Python) Source: https://akshare.akfamily.xyz/data/macro/macro This snippet demonstrates how to retrieve historical data for the US Initial Jobless Claims Report using the `ak.macro_usa_initial_jobless()` function from the AKShare library. The data includes current value, forecast, and previous value, with units in tens of thousands. It covers data from 1970-01-01 to the present. ```Python import akshare as ak macro_usa_initial_jobless_df = ak.macro_usa_initial_jobless() print(macro_usa_initial_jobless_df) ``` -------------------------------- ### GET /macro/germany/cpi/yearly Source: https://akshare.akfamily.xyz/data/macro/macro 获取东方财富-数据中心-经济数据一览-德国-消费者物价指数年率终值的所有历史数据。该接口提供德国消费者物价指数的年度变化数据。 ```APIDOC ## GET /macro/germany/cpi/yearly ### Description 获取东方财富-数据中心-经济数据一览-德国-消费者物价指数年率终值的所有历史数据。该接口提供德国消费者物价指数的年度变化数据。 ### Method GET ### Endpoint /macro/germany/cpi/yearly ### Parameters #### Path Parameters - 无 #### Query Parameters - 无 #### Request Body - 无 ### Request Example ```python import akshare as ak macro_germany_cpi_yearly_df = ak.macro_germany_cpi_yearly() print(macro_germany_cpi_yearly_df) ``` ### Response #### Success Response (200) - **时间** (object) - 数据所属时间 - **前值** (float64) - 前一期数值 - **现值** (float64) - 当前期数值 - **发布日期** (object) - 数据发布日期 #### Response Example ```json [ { "时间": "2008年01月", "前值": 3.1, "现值": 2.9, "发布日期": "2008-02-16" }, { "时间": "2008年02月", "前值": 2.9, "现值": 3.0, "发布日期": "2008-03-18" }, { "时间": "2008年03月", "前值": 3.0, "现值": 3.3, "发布日期": "2008-04-16" } ] ``` ``` -------------------------------- ### Retrieve China New House Price Index for Specific Cities using AKShare Python Source: https://akshare.akfamily.xyz/data/macro/macro This example illustrates how to obtain China's monthly new house price index data for specified cities via `akshare`. It retrieves historical data from January 2011 to the present, including year-on-year, month-on-month, and fixed-base indices for both new commercial and second-hand residential properties. The `macro_china_new_house_price()` function requires `city_first` and `city_second` string parameters to specify the cities of interest. ```python import akshare as ak macro_china_new_house_price_df = ak.macro_china_new_house_price(city_first="北京", city_second="上海") print(macro_china_new_house_price_df) ``` -------------------------------- ### GET /macro/germany/cpi/monthly Source: https://akshare.akfamily.xyz/data/macro/macro 获取东方财富-数据中心-经济数据一览-德国-消费者物价指数月率终值的所有历史数据。该接口提供德国消费者物价指数的月度变化数据。 ```APIDOC ## GET /macro/germany/cpi/monthly ### Description 获取东方财富-数据中心-经济数据一览-德国-消费者物价指数月率终值的所有历史数据。该接口提供德国消费者物价指数的月度变化数据。 ### Method GET ### Endpoint /macro/germany/cpi/monthly ### Parameters #### Path Parameters - 无 #### Query Parameters - 无 #### Request Body - 无 ### Request Example ```python import akshare as ak macro_germany_cpi_monthly_df = ak.macro_germany_cpi_monthly() print(macro_germany_cpi_monthly_df) ``` ### Response #### Success Response (200) - **时间** (object) - 数据所属时间 - **前值** (float64) - 前一期数值 - **现值** (float64) - 当前期数值 - **发布日期** (object) - 数据发布日期 #### Response Example ```json [ { "时间": "2008年01月", "前值": 0.7, "现值": -0.4, "发布日期": "2008-02-16" }, { "时间": "2008年02月", "前值": -0.4, "现值": 0.6, "发布日期": "2008-03-18" }, { "时间": "2008年03月", "前值": 0.6, "现值": 0.5, "发布日期": "2008-04-16" } ] ``` ``` -------------------------------- ### Fetch China Local and Foreign Currency Deposit Data with AKShare (Python) Source: https://akshare.akfamily.xyz/data/macro/macro This example shows how to obtain historical data for local and foreign currency deposits in China using AKShare's `macro_china_wbck` interface. The data is sourced from Eastmoney, covers monthly periods from February 2008, and includes current month value, year-on-year growth, month-on-month growth, and cumulative value in CNY billions. ```python import akshare as ak macro_china_wbck_df = ak.macro_china_wbck() print(macro_china_wbck_df) ``` -------------------------------- ### GET /macro/germany/ifo Source: https://akshare.akfamily.xyz/data/macro/macro 获取东方财富-数据中心-经济数据一览-IFO商业景气指数的所有历史数据。该接口返回德国IFO商业景气指数的月度数据，包括前值、现值和发布日期。 ```APIDOC ## GET /macro/germany/ifo ### Description 获取东方财富-数据中心-经济数据一览-IFO商业景气指数的所有历史数据。该接口返回德国IFO商业景气指数的月度数据，包括前值、现值和发布日期。 ### Method GET ### Endpoint /macro/germany/ifo ### Parameters #### Path Parameters - 无 #### Query Parameters - 无 #### Request Body - 无 ### Request Example ```python import akshare as ak macro_germany_ifo_df = ak.macro_germany_ifo() print(macro_germany_ifo_df) ``` ### Response #### Success Response (200) - **时间** (object) - 数据所属时间 - **前值** (float64) - 前一期数值 - **现值** (float64) - 当前期数值 - **发布日期** (object) - 数据发布日期 #### Response Example ```json [ { "时间": "2008年01月", "前值": 98.3, "现值": 97.9, "发布日期": "2008-01-25" }, { "时间": "2008年02月", "前值": 97.9, "现值": 97.8, "发布日期": "2008-02-25" }, { "时间": "2008年03月", "前值": 97.8, "现值": 97.9, "发布日期": "2008-03-25" } ] ``` ``` -------------------------------- ### Fetch Eurozone CPI Month-on-Month Report with AKShare (Python) Source: https://akshare.akfamily.xyz/data/macro/macro This snippet demonstrates how to obtain historical data for the Eurozone CPI Month-on-Month Report using the `ak.macro_euro_cpi_mom()` function from the AKShare library. The data includes current value, forecast, and previous value, with units in percentage. It covers data from 1990-03-01 to the present. ```Python import akshare as ak macro_euro_cpi_mom_df = ak.macro_euro_cpi_mom() print(macro_euro_cpi_mom_df) ``` -------------------------------- ### Fetch China Producer Price Index (PPI) Data - Python Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves China's Producer Price Index for industrial products from 2006 onwards with monthly data. Returns current month index values, year-over-year growth rates in percentages, and cumulative index values. ```python import akshare as ak macro_china_ppi_df = ak.macro_china_ppi() print(macro_china_ppi_df) ``` -------------------------------- ### GET macro_rmb_loan Source: https://akshare.akfamily.xyz/data/macro/macro 获取新增人民币贷款的宏观数据。该接口返回所有历史数据，包括月份、新增贷款总额、同比环比变化率以及累计贷款统计信息。 ```APIDOC ## GET macro_rmb_loan ### Description 获取同花顺数据中心宏观数据中的新增人民币贷款统计信息，包括月度新增贷款总额、同比增长率、环比增长率以及累计贷款数据。 ### Method GET ### Endpoint https://data.10jqka.com.cn/macro/loan/ ### Parameters #### Query Parameters 无 #### Request Body 无 ### Request Example ```python import akshare as ak macro_rmb_loan_df = ak.macro_rmb_loan() print(macro_rmb_loan_df) ``` ### Response #### Success Response (200) 返回 DataFrame 格式的数据，包含以下字段： - **月份** (string) - 数据统计月份，格式为 YYYY-MM - **新增人民币贷款-总额** (float64) - 该月新增人民币贷款总额（单位：亿元） - **新增人民币贷款-同比** (string) - 新增贷款同比增长率（百分比格式） - **新增人民币贷款-环比** (string) - 新增贷款环比增长率（百分比格式） - **累计人民币贷款-总额** (float64) - 累计人民币贷款总额（单位：亿元） - **累计人民币贷款-同比** (string) - 累计贷款同比增长率（百分比格式） #### Response Example ``` 月份 新增人民币贷款-总额 新增人民币贷款-同比 新增人民币贷款-环比 累计人民币贷款-总额 累计人民币贷款-同比 0 2023-04 7188.0 11.37% -81.52% 2261643.47 12.15% 1 2023-05 13600.0 -28.04% 89.20% 2275271.41 11.78% 2 2023-06 30500.0 8.54% 124.26% 2305766.69 11.74% 3 2023-07 3459.0 -49.06% -88.66% 2309226.18 11.54% 4 2023-08 13600.0 8.80% 293.18% 2322806.64 11.52% 5 2023-09 23100.0 -6.48% 69.85% 2345924.92 11.31% 6 2023-10 7384.0 20.03% -68.03% 2353309.12 11.33% 7 2023-11 10900.0 -9.92% 47.62% 2364196.44 11.21% 8 2023-12 11700.0 -16.43% 7.34% 2375905.37 11.03% 9 2024-01 49200.0 0.41% 320.51% 2425047.89 10.36% 10 2024-02 14500.0 -19.89% -70.53% 2439604.04 10.11% 11 2024-03 30900.0 -20.57% 113.10% 2470492.81 9.58% 12 2024-04 7300.0 1.56% -76.38% 2477817.72 9.56% 13 2024-05 9500.0 -30.15% 30.14% 2487269.61 9.32% 14 2024-06 21300.0 -30.16% 124.21% 2508526.52 8.79% 15 2024-07 2600.0 -24.83% -87.79% 2511136.90 8.74% 16 2024-08 9000.0 -33.82% 246.15% 2520166.54 8.50% 17 2024-09 15900.0 -31.17% 76.67% 2536108.31 8.11% 18 2024-10 5000.0 -32.29% -68.55% 2541043.57 7.98% 19 2024-11 5800.0 -46.79% 16.00% 2546826.79 7.72% 20 2024-12 9900.0 -15.38% 70.69% 2556778.21 7.61% 21 2025-01 51300.0 4.27% 418.18% 2607690.85 7.53% 22 2025-02 10100.0 -30.34% -80.31% 2617778.05 7.30% 23 2025-03 36400.0 17.80% 260.40% 2654136.68 7.43% 24 2025-04 2800.0 -61.64% -92.31% 2656987.42 7.23% 25 2025-05 6200.0 -34.74% 121.43% 2663212.50 7.07% 26 2025-06 22400.0 5.16% 261.29% 2685590.16 7.06% 27 2025-07 -500.0 -119.23% -102.23% 2685099.78 6.93% 28 2025-08 5900.0 -34.44% 1280.00% 2690987.15 6.78% 29 2025-09 12900.0 -18.87% 118.64% 2703902.22 6.62% ``` ### Notes - 接口返回所有历史数据，无需指定时间范围参数 - 数据来源：同花顺数据中心宏观数据板块 - 单次请求返回完整的历史数据集 ``` -------------------------------- ### GET /macro/germany/trade/adjusted Source: https://akshare.akfamily.xyz/data/macro/macro 获取东方财富-数据中心-经济数据一览-德国-贸易帐(季调后)的所有历史数据。该接口返回德国季调后贸易帐的月度数据。 ```APIDOC ## GET /macro/germany/trade/adjusted ### Description 获取东方财富-数据中心-经济数据一览-德国-贸易帐(季调后)的所有历史数据。该接口返回德国季调后贸易帐的月度数据。 ### Method GET ### Endpoint /macro/germany/trade/adjusted ### Parameters #### Path Parameters - 无 #### Query Parameters - 无 #### Request Body - 无 ### Request Example ```python import akshare as ak macro_germany_trade_adjusted_df = ak.macro_germany_trade_adjusted() print(macro_germany_trade_adjusted_df) ``` ### Response #### Success Response (200) - **时间** (object) - 数据所属时间 - **前值** (float64) - 前一期数值 - **现值** (float64) - 当前期数值 - **发布日期** (object) - 数据发布日期 #### Response Example ```json [ { "时间": "2008年01月", "前值": 15.5, "现值": 17.2, "发布日期": "2008-03-10" }, { "时间": "2008年02月", "前值": 17.2, "现值": 16.3, "发布日期": "2008-04-10" }, { "时间": "2008年03月", "前值": 16.3, "现值": 16.8, "发布日期": "2008-05-09" } ] ``` ``` -------------------------------- ### GET macro_euro_manufacturing_pmi Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves the Eurozone Manufacturing PMI Preliminary Report. This endpoint provides historical data from 2008-02-22 to the present, returning all available historical data in a single request. ```APIDOC ## GET macro_euro_manufacturing_pmi ### Description Retrieves the Eurozone Manufacturing PMI Preliminary Report. This endpoint provides historical data from 2008-02-22 to the present, returning all available historical data in a single request. ### Method GET ### Endpoint macro_euro_manufacturing_pmi ### Parameters #### Path Parameters - No path parameters. #### Query Parameters - No query parameters. #### Request Body - No request body. ### Request Example ```python import akshare as ak macro_euro_manufacturing_pmi_df = ak.macro_euro_manufacturing_pmi() print(macro_euro_manufacturing_pmi_df) ``` ### Response #### Success Response (200) - **商品** (object) - - **日期** (object) - - **今值** (float64) - 注意单位: % - **预测值** (float64) - 注意单位: % - **前值** (float64) - 注意单位: % #### Response Example ``` 商品 日期 今值 预测值 前值 0 欧元区制造业PMI初值 2008-02-22 52.3 52.5 52.8 1 欧元区制造业PMI初值 2008-03-03 52.3 52.3 52.3 2 欧元区制造业PMI初值 2008-03-20 52.0 52.0 52.3 3 欧元区制造业PMI初值 2008-04-01 52.0 52.0 52.0 4 欧元区制造业PMI初值 2008-04-23 51.8 51.6 52.0 .. ... ... ... ... ... 353 欧元区制造业PMI初值 2022-09-23 48.5 48.7 49.6 354 欧元区制造业PMI初值 2022-10-03 48.4 48.5 49.6 355 欧元区制造业PMI初值 2022-10-24 46.6 47.8 48.4 356 欧元区制造业PMI初值 2022-11-02 46.4 46.6 48.4 357 欧元区制造业PMI初值 2022-11-23 NaN NaN 46.4 ``` ``` -------------------------------- ### GET /macro_china_czsr Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves monthly data on China's fiscal revenue from January 2008 to the present. ```APIDOC ## GET /macro_china_czsr ### Description This endpoint provides monthly data on China's fiscal revenue, covering the period from January 2008 to the present. It includes current month's revenue, year-on-year growth, month-on-month growth, accumulated revenue, and accumulated year-on-year growth. ### Method GET ### Endpoint /macro_china_czsr ### Parameters #### Path Parameters None #### Query Parameters None #### Request Body None ### Request Example {} ### Response #### Success Response (200) - **月份** (object) - Month of the data. - **当月** (float64) - Current month's fiscal revenue (Unit: 亿元). - **当月-同比增长** (float64) - Current month's year-on-year growth rate (Unit: %). - **当月-环比增长** (float64) - Current month's month-on-month growth rate (Unit: %). - **累计** (float64) - Accumulated fiscal revenue (Unit: 亿元). - **累计-同比增长** (float64) - Accumulated year-on-year growth rate (Unit: %). #### Response Example ```json [ { "月份": "2008年01月份", "当月": 7396.64, "当月-同比增长": 42.352305, "当月-环比增长": 135.21271, "累计": 7396.64, "累计-同比增长": 42.4 }, { "月份": "2008年02月份", "当月": 4158.75, "当月-同比增长": 36.552139, "当月-环比增长": -43.775147, "累计": 11555.39, "累计-同比增长": 40.2 }, { "月份": "2025年09月份", "当月": 15678.00, "当月-同比增长": 2.584571, "当月-环比增长": 26.854924, "累计": 163876.00, "累计-同比增长": 0.5 } ] ``` ``` -------------------------------- ### GET /macro_info_ws Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves macro calendar data from Wallstreetcn for a specified date. Returns data for the given date. ```APIDOC ## GET /macro_info_ws ### Description Retrieves macro calendar data from Wallstreetcn for a specified date. Returns data for the given date. ### Method GET ### Endpoint /macro_info_ws ### Parameters #### Path Parameters - No path parameters. #### Query Parameters - **date** (str) - Required - Specifies the date for which to retrieve data, e.g., "20240514". #### Request Body - No request body. ### Request Example ```json { "date": "20240514" } ``` ### Response #### Success Response (200) - **时间** (object) - Time of the event. - **地区** (object) - Region/Country of the event. - **事件** (object) - Description of the event. - **重要性** (int64) - Importance level of the event. - **今值** (float64) - Current value. - **预期** (float64) - Expected value. - **前值** (float64) - Previous value. - **链接** (object) - Link to more information about the event. #### Response Example ```json [ { "时间": "2024-05-14 01:00:00", "地区": "", "事件": "", "重要性": 0, "今值": null, "预期": null, "前值": null, "链接": "" }, { "时间": "2024-05-14 07:50:00", "地区": "日本", "事件": "日本第一季度GDP年化季率初值", "重要性": 3, "今值": -2.0, "预期": -1.5, "前值": 0.4, "链接": "https://wallstreetcn.com/calendar/JP111746/ove..." } ] ``` ``` -------------------------------- ### Fetch China Consumer Price Index (CPI) Data - Python Source: https://akshare.akfamily.xyz/data/macro/macro Retrieves China's Consumer Price Index data from 2008 onwards with monthly granularity. Returns national, urban, and rural CPI metrics including current month values, year-over-year growth, and month-over-month growth rates. All growth rates are in percentage units. ```python import akshare as ak macro_china_cpi_df = ak.macro_china_cpi() print(macro_china_cpi_df) ``` -------------------------------- ### Fetch Eurozone Retail Sales Month-on-Month Report with AKShare Python Source: https://akshare.akfamily.xyz/data/macro/macro This snippet shows how to fetch the historical Eurozone Retail Sales month-on-month report using the `macro_euro_retail_sales_mom` interface from the AKShare library. The data ranges from 2000-03-01 to the present, providing '商品' (item), '日期' (date), '今值' (current value), '预测值' (forecast value), and '前值' (previous value). The '今值', '预测值', and '前值' are expressed as percentages. ```python import akshare as ak macro_euro_retail_sales_mom_df = ak.macro_euro_retail_sales_mom() print(macro_euro_retail_sales_mom_df) ``` -------------------------------- ### Fetch Eurozone Quarterly GDP Year-on-Year Report with AKShare (Python) Source: https://akshare.akfamily.xyz/data/macro/macro This snippet illustrates how to retrieve historical data for the Eurozone Quarterly GDP Year-on-Year Report using the `ak.macro_euro_gdp_yoy()` function from the AKShare library. The data includes current value, forecast, and previous value, with units in percentage. It covers data from 2013-11-14 to the present. ```Python import akshare as ak macro_euro_gdp_yoy_df = ak.macro_euro_gdp_yoy() print(macro_euro_gdp_yoy_df) ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.