AKShare - macro data - Hong Kong, China

Author's message

This interface update mainly fixes the problem of interface naming before, standardizes the data format of the returned results, and modifies the corresponding documents. Please upgrade AKShare to version 1.2.60.

Update interface

  • "macro_china_hk_cpi" # Hong Kong, China - consumer price index
  • "macro_china_hk_cpi_ratio" # Hong Kong, China - annual rate of consumer price index
  • "Macro_china_hk_rate_of_employment" # Hong Kong, China - unemployment rate
  • "macro_china_hk_gbp" # Hong Kong, China - GDP
  • "macro_china_hk_gbp_ratio" # Hong Kong, China - year on year GDP
  • "macro_china_hk_building_volume" # Hong Kong, China - number of sale and purchase agreements
  • "macro_china_hk_building_amount" # Hong Kong, China - transaction amount of building sale and purchase contract
  • "macro_china_hk_trade_diff_ratio" # Hong Kong, China - annual rate of commodity trade balance
  • "macro_china_hk_ppi" # Hong Kong, China - annual PPI rate of manufacturing industry

Hong Kong macro

Consumer price index

Interface: macro_china_hk_cpi

Destination address: https://data.eastmoney.com/cjsj/foreign_8_0.html

Description: Oriental Wealth - economic data list - Hong Kong, China - consumer price index

Limit: return all historical data at a time

input parameter

name

type

describe

nothing

nothing

nothing

Output parameters

name

type

describe

time

object

-

Previous value

float64

-

present value

float64

-

Release date

object

-

Interface example

import akshare as ak

macro_china_hk_cpi_df = ak.macro_china_hk_cpi()
print(macro_china_hk_cpi_df)

sample data

     time         Previous value     Present value release date
0    2021-11-01  102.0    NaN  2021-12-21
1    2021-10-01   99.2  102.0  2021-11-22
2    2021-09-01  101.5   99.2  2021-10-22
3    2021-08-01  101.4  101.5  2021-09-20
4    2021-07-01  101.3  101.4  2021-08-19
..          ...    ...    ...         ...
161  2008-06-01   79.7   80.4         NaN
162  2008-05-01   79.5   79.7         NaN
163  2008-04-01   79.0   79.5         NaN
164  2008-03-01   79.0   79.0         NaN
165  2008-02-01   77.9   79.0         NaN

Annual rate of consumer price index

Interface: macro_china_hk_cpi_ratio

Destination address: https://data.eastmoney.com/cjsj/foreign_8_1.html

Description: Oriental Wealth - economic data list - Hong Kong, China - annual rate of consumer price index

Limit: return all historical data at a time

input parameter

name

type

describe

nothing

nothing

nothing

Output parameters

name

type

describe

time

object

-

Previous value

float64

Note unit:%

present value

float64

Note unit:%

Release date

object

-

Interface example

import akshare as ak

macro_china_hk_cpi_ratio_df = ak.macro_china_hk_cpi_ratio()
print(macro_china_hk_cpi_ratio_df)

sample data

     time         Pre value present value        Release date
0    2021-11-01  1.7  NaN  2021-12-21
1    2021-10-01  1.4  1.7  2021-11-22
2    2021-09-01  1.6  1.4  2021-10-22
3    2021-08-01  3.7  1.6  2021-09-20
4    2021-07-01  0.7  3.7  2021-08-19
..          ...  ...  ...         ...
161  2008-06-01  5.7  6.1         NaN
162  2008-05-01  5.4  5.7         NaN
163  2008-04-01  4.2  5.4         NaN
164  2008-03-01  6.3  4.2         NaN
165  2008-02-01  3.2  6.3         NaN

unemployment rate

Interface: macro_china_hk_rate_of_unemployment

Destination address: https://data.eastmoney.com/cjsj/foreign_8_2.html

Description: Oriental Wealth - economic data list - Hong Kong, China - unemployment rate

Limit: return all historical data at a time

input parameter

name

type

describe

nothing

nothing

nothing

Output parameters

name

type

describe

time

object

-

Previous value

float64

Note unit:%

present value

float64

Note unit:%

Release date

object

-

Interface example

import akshare as ak

macro_china_hk_rate_of_unemployment_df = ak.macro_china_hk_rate_of_unemployment()
print(macro_china_hk_rate_of_unemployment_df)

sample data

      time        Release date of previous value present value
0    2021-11-01  4.3  NaN  2021-12-16
1    2021-10-01  4.5  4.3  2021-11-16
2    2021-09-01  4.7  4.5  2021-10-21
3    2021-08-01  5.0  4.7  2021-09-16
4    2021-07-01  5.5  5.0  2021-08-18
..          ...  ...  ...         ...
161  2008-06-01  3.3  3.2         NaN
162  2008-05-01  3.3  3.3         NaN
163  2008-04-01  3.3  3.3         NaN
164  2008-03-01  3.3  3.3         NaN
165  2008-02-01  3.4  3.3         NaN

GDP

Interface: macro_china_hk_gbp

Destination address: https://data.eastmoney.com/cjsj/foreign_8_3.html

Description: Oriental Wealth - economic data list - Hong Kong, China - GDP

Limit: return all historical data at a time

input parameter

name

type

describe

nothing

nothing

nothing

Output parameters

name

type

describe

time

object

-

Previous value

float64

Note: HK $100 million

present value

float64

Note: HK $100 million

Release date

object

-

Interface example

import akshare as ak

macro_china_hk_gbp_df = ak.macro_china_hk_gbp()
print(macro_china_hk_gbp_df)

sample data

        time         Previous value     Present value release date
0   2021-09-01      NaN      NaN  NaT
1   2021-06-01      NaN      NaN  NaT
2   2021-03-01      NaN      NaN  NaT
3   2020-12-01      NaN      NaN  NaT
4   2020-09-01      NaN      NaN  NaT
5   2020-06-01      NaN      NaN  NaT
6   2020-03-01      NaN      NaN  NaT
7   2019-12-01      NaN      NaN  NaT
8   2019-09-01      NaN      NaN  NaT
9   2019-06-01  7140.39      NaN  NaT
10  2019-03-01  7018.22  7140.39  NaT
11  2018-12-01  6761.12  7018.22  NaT
12  2018-09-01  6346.83  6761.12  NaT
13  2018-06-01  6879.66  6346.83  NaT
14  2018-03-01  7208.97  6879.66  NaT
15  2017-12-01  6450.58  7208.97  NaT
16  2017-09-01  6034.78  6450.58  NaT
17  2017-06-01  6113.13  6034.78  NaT
18  2017-03-01  6575.42  6113.13  NaT
19  2016-12-01  6227.49  6575.42  NaT
20  2016-09-01  5808.87  6227.49  NaT
21  2016-06-01  5643.75  5808.87  NaT
22  2016-03-01  6138.84  5643.75  NaT
23  2015-12-01  5887.48  6138.84  NaT
24  2015-09-01  5504.83  5887.48  NaT
25  2015-06-01  5432.44  5504.83  NaT
26  2015-03-01  5846.72  5432.44  NaT
27  2014-12-01  5586.83  5846.72  NaT
28  2014-09-01  5185.12  5586.83  NaT
29  2014-06-01  5302.86  5185.12  NaT
30  2014-03-01  5712.28  5302.86  NaT
31  2013-12-01  5427.36  5712.28  NaT
32  2013-09-01  5082.48  5427.36  NaT
33  2013-06-01  5164.48  5082.48  NaT
34  2013-03-01  5558.74  5164.48  NaT
35  2012-12-01  5263.61  5558.74  NaT
36  2012-09-01  4930.73  5263.61  NaT
37  2012-06-01  4996.07  4930.73  NaT
38  2012-03-01  5391.98  4996.07  NaT
39  2011-12-01  5171.76  5391.98  NaT
40  2011-09-01  4882.55  5171.76  NaT
41  2011-06-01  4955.96  4882.55  NaT
42  2011-03-01  5237.14  4955.96  NaT
43  2010-12-01  4976.64  5237.14  NaT
44  2010-09-01  4645.61  4976.64  NaT
45  2010-06-01  4605.68  4645.61  NaT
46  2010-03-01  4924.88  4605.68  NaT
47  2009-12-01  4671.98  4924.88  NaT
48  2009-09-01  4367.06  4671.98  NaT
49  2009-06-01  4267.33  4367.06  NaT
50  2009-03-01  4806.14  4267.33  NaT
51  2008-12-01  4752.53  4806.14  NaT
52  2008-09-01  4505.64  4752.53  NaT
53  2008-06-01  4626.57  4505.64  NaT

Year on year GDP

Interface: macro_china_hk_gbp_ratio

Destination address: https://data.eastmoney.com/cjsj/foreign_8_4.html

Description: Oriental Wealth - economic data list - Hong Kong, China - year on year GDP

Limit: return all historical data at a time

input parameter

name

type

describe

nothing

nothing

nothing

Output parameters

name

type

describe

time

object

-

Previous value

float64

Note unit:%

present value

float64

Note unit:%

Release date

object

-

Interface example

import akshare as ak

macro_china_hk_gbp_ratio_df = ak.macro_china_hk_gbp_ratio()
print(macro_china_hk_gbp_ratio_df)

sample data

    time         Pre value present value       Release date
0   2021-09-01  NaN  NaN         NaT
1   2021-06-01  NaN  NaN         NaT
2   2021-03-01  NaN  NaN         NaT
3   2020-12-01  NaN  NaN         NaT
4   2020-09-01  NaN  NaN         NaT
5   2020-06-01  NaN  NaN         NaT
6   2020-03-01  NaN  NaN         NaT
7   2019-12-01  NaN  NaN         NaT
8   2019-09-01  NaN  NaN         NaT
9   2019-06-01  NaN  NaN         NaT
10  2019-03-01  1.2  NaN         NaT
11  2018-12-01  2.8  1.2         NaT
12  2018-09-01  3.6  2.8  2018-11-16
13  2018-06-01  4.6  3.6  2018-08-10
14  2018-03-01  3.4  4.6  2018-05-11
15  2017-12-01  3.6  3.4  2018-02-28
16  2017-09-01  3.9  3.6  2017-11-10
17  2017-06-01  4.3  3.9  2017-08-14
18  2017-03-01  3.2  4.3  2017-06-19
19  2016-12-01  2.0  3.2  2017-03-20
20  2016-09-01  1.8  2.0  2016-11-11
21  2016-06-01  0.8  1.8  2016-08-12
22  2016-03-01  1.9  0.8  2016-05-13
23  2015-12-01  2.3  1.9  2016-02-24
24  2015-09-01  3.1  2.3  2015-11-13
25  2015-06-01  2.4  3.1  2015-08-14
26  2015-03-01  2.4  2.4  2015-05-15
27  2014-12-01  2.9  2.4  2015-02-25
28  2014-09-01  2.0  2.9  2014-11-14
29  2014-06-01  2.7  2.0  2014-08-15
30  2014-03-01  2.8  2.7  2014-05-16
31  2013-12-01  3.1  2.8  2014-02-26
32  2013-09-01  3.1  3.1  2013-11-15
33  2013-06-01  3.4  3.1  2013-08-20
34  2013-03-01  3.1  3.4         NaT
35  2012-12-01  1.8  3.1         NaT
36  2012-09-01  1.0  1.8         NaT
37  2012-06-01  0.8  1.0         NaT
38  2012-03-01  3.0  0.8         NaT
39  2011-12-01  3.9  3.0         NaT
40  2011-09-01  5.1  3.9         NaT
41  2011-06-01  7.6  5.1         NaT
42  2011-03-01  6.3  7.6         NaT
43  2010-12-01  6.5  6.3         NaT
44  2010-09-01  6.4  6.5         NaT
45  2010-06-01  7.9  6.4         NaT
46  2010-03-01  2.5  7.9         NaT
47  2009-12-01 -1.7  2.5         NaT
48  2009-09-01 -3.1 -1.7         NaT
49  2009-06-01 -7.8 -3.1         NaT
50  2009-03-01 -2.7 -7.8         NaT
51  2008-12-01  0.9 -2.7         NaT
52  2008-09-01  4.0  0.9         NaT
53  2008-06-01  7.0  4.0         NaT

Number of sale and purchase agreements in Hong Kong, China

Interface: macro_china_hk_building_volume

Destination address: https://data.eastmoney.com/cjsj/foreign_8_5.html

Description: Oriental Wealth - economic data list - Hong Kong, China - number of building sale and purchase contracts

Limit: return all historical data at a time

input parameter

name

type

describe

nothing

nothing

nothing

Output parameters

name

type

describe

time

object

-

Previous value

float64

-

present value

float64

-

Release date

object

-

Interface example

import akshare as ak

macro_china_hk_building_volume_df = ak.macro_china_hk_building_volume()
print(macro_china_hk_building_volume_df)

sample data

     time          Previous value    Present value release date
0    2021-11-01   6250   7239  2021-12-03
1    2021-10-01   7400   6250  2021-11-03
2    2021-09-01   7875   7400  2021-10-06
3    2021-08-01   9957   7875  2021-09-03
4    2021-07-01   9381   9957  2021-08-05
..          ...    ...    ...         ...
161  2008-06-01  10138  11876         NaN
162  2008-05-01  10945  10138         NaN
163  2008-04-01  10993  10945         NaN
164  2008-03-01  14384  10993         NaN
165  2008-02-01  16984  14384         NaN

Transaction amount of building sale and purchase contract in Hong Kong, China

Interface: macro_china_hk_building_amount

Destination address: https://data.eastmoney.com/cjsj/foreign_8_6.html

Description: Oriental Wealth - economic data list - Hong Kong, China - transaction amount of building sale and purchase contract

Limit: return all historical data at a time

input parameter

name

type

describe

nothing

nothing

nothing

Output parameters

name

type

describe

time

object

-

Previous value

float64

Note: HK $100 million

present value

float64

Note: HK $100 million

Release date

object

-

Interface example

import akshare as ak

macro_china_hk_building_amount_df = ak.macro_china_hk_building_amount()
print(macro_china_hk_building_amount_df)

sample data

      time      Previous value      present value        Release date
0    2021-11-01  613.64  629.98  2021-12-03
1    2021-10-01  668.06  613.64  2021-11-03
2    2021-09-01  704.48  668.06  2021-10-06
3    2021-08-01  939.91  704.48  2021-09-03
4    2021-07-01  925.60  939.91  2021-08-05
..          ...     ...     ...         ...
161  2008-06-01  339.72  574.79         NaN
162  2008-05-01  335.09  339.72         NaN
163  2008-04-01  440.17  335.09         NaN
164  2008-03-01  519.74  440.17         NaN
165  2008-02-01  677.74  519.74         NaN

Annual rate of merchandise trade balance in Hong Kong, China

Interface: macro_china_hk_trade_diff_ratio

Destination address: https://data.eastmoney.com/cjsj/foreign_8_7.html

Description: Oriental Wealth - list of economic data - Hong Kong, China - annual rate of commodity trade balance

Limit: return all historical data at a time

input parameter

name

type

describe

nothing

nothing

nothing

Output parameters

name

type

describe

time

object

-

Previous value

float64

Note unit:%

present value

float64

Note unit:%

Release date

object

-

Interface example

import akshare as ak

macro_china_hk_trade_diff_ratio_df = ak.macro_china_hk_trade_diff_ratio()
print(macro_china_hk_trade_diff_ratio_df)

sample data

      time          Previous value          Present value release date
0    2021-11-01  -17.118294         NaN  NaT
1    2021-10-01  233.945171  -17.118294  NaT
2    2021-09-01   79.803090  233.945171  NaT
3    2021-08-01   17.322914   79.803090  NaT
4    2021-07-01   21.337092   17.322914  NaT
..          ...         ...         ...  ...
161  2008-06-01   92.302304   23.387719  NaT
162  2008-05-01  -21.249636   92.302304  NaT
163  2008-04-01   -0.699128  -21.249636  NaT
164  2008-03-01  109.659467   -0.699128  NaT
165  2008-02-01   69.070295  109.659467  NaT

Annual PPI rate of manufacturing industry in Hong Kong, China

Interface: macro_china_hk_ppi

Destination address: https://data.eastmoney.com/cjsj/foreign_8_8.html

Description: Oriental Wealth - economic data list - Hong Kong, China - annual PPI rate of manufacturing industry

Limit: return all historical data at a time

input parameter

name

type

describe

-

-

-

Output parameters

name

type

describe

time

object

-

Previous value

float64

Note unit:%

present value

float64

Note unit:%

Release date

object

-

Interface example

import akshare as ak

macro_china_hk_ppi_df = ak.macro_china_hk_ppi()
print(macro_china_hk_ppi_df)

sample data

     time    Previous value    present value        Release date
0   2021-09-01  2.70   NaN  2021-12-13
1   2021-06-01  1.70  2.70  2021-09-13
2   2021-03-01  2.90  1.70  2021-06-15
3   2020-12-01  3.80  2.90  2021-03-12
4   2020-09-01  1.30  3.80  2020-12-14
5   2020-06-01  1.30  1.30  2020-09-14
6   2020-03-01  1.10  1.30  2020-06-12
7   2019-12-01  1.40  1.10  2020-03-13
8   2019-09-01  0.80  1.40         NaT
9   2019-06-01  0.80  0.80  2019-09-12
10  2019-03-01  0.30  0.80  2019-06-14
11  2018-12-01  0.10  0.30  2019-03-14
12  2018-09-01  3.80  0.10  2018-12-14
13  2018-06-01  3.80  3.80  2018-09-13
14  2018-03-01  3.50  3.80  2018-06-14
15  2017-12-01  3.70  3.50  2018-03-13
16  2017-09-01  3.70  3.70  2017-12-14
17  2017-06-01  4.20  3.70  2017-09-14
18  2017-03-01  4.00  4.20  2017-06-13
19  2016-12-01  3.90  4.00  2017-03-13
20  2016-09-01  0.40  3.90  2016-12-13
21  2016-06-01 -2.80  0.40  2016-09-13
22  2016-03-01 -3.20 -2.80  2016-06-14
23  2015-12-01 -4.40 -3.20  2016-03-14
24  2015-09-01 -2.80 -4.40  2015-12-14
25  2015-06-01 -0.60 -2.80  2015-09-14
26  2015-03-01 -1.20 -0.60  2015-06-12
27  2014-12-01  1.30 -1.20  2015-03-13
28  2014-09-01 -0.40  1.30  2014-12-12
29  2014-06-01 -6.30 -0.40  2014-09-12
30  2014-03-01 -5.50 -6.30  2014-06-20
31  2013-12-01 -5.20 -5.50  2014-03-20
32  2013-09-01 -2.40 -5.20  2013-12-12
33  2013-06-01  0.60 -2.40  2013-11-20
34  2013-03-01 -1.00  0.60  2013-08-20
35  2012-12-01 -1.49 -1.00  2013-03-14
36  2012-09-01 -0.62 -1.49  2012-12-13
37  2012-06-01  3.64 -0.62  2012-09-13
38  2012-03-01  6.61  3.64  2012-06-14
39  2011-12-01  9.59  6.61  2012-03-12
40  2011-09-01  8.97  9.59  2011-12-13
41  2011-06-01  8.17  8.97  2011-09-15
42  2011-03-01  7.62  8.17  2011-06-13
43  2010-12-01  6.43  7.62  2011-03-11
44  2010-09-01  5.92  6.43  2010-12-13
45  2010-06-01  4.10  5.92  2010-09-13
46  2010-03-01 -0.30  4.10  2010-06-14
47  2009-12-01 -2.00 -0.30  2010-03-12
48  2009-09-01 -2.97 -2.00  2009-12-14
49  2009-06-01 -1.40 -2.97  2009-09-14
50  2009-03-01  3.90 -1.40  2009-06-12
51  2008-12-01  5.80  3.90  2009-03-13
52  2008-09-01  6.90  5.80  2008-12-12
53  2008-06-01  5.90  6.90  2008-09-12

Added by Rykin on Wed, 12 Jan 2022 02:46:25 +0200