11 PMI Analysis

Interfaces implemented in this chapter are listed below; uncovered indicators are noted under “To be added” at the end.

Purchasing Managers’ Index

Interface: macro_china_pmi

Source URL: http://data.eastmoney.com/cjsj/pmi.html

Description: Purchasing Managers’ Index; monthly data from 200801 to present

Limits: Returns all historical data in a single call

Input

Name	Type	Description
-	-	-

Output

Name	Type	Description
Month	object	-
Manufacturing-Index	float64	-
Manufacturing-YoY	float64	Unit: %
Non-manufacturing-Index	float64	-
Non-manufacturing-YoY	float64	Unit: %

Example

import meshare as ms

macro_china_pmi_df = ms.macro_china_pmi()
print(macro_china_pmi_df)

Sample data

    Month  Manufacturing-Index  Manufacturing-YoY  Non-manufacturing-Index  Non-manufacturing-YoY
  Oct 2022    49.2  0.000000     48.7  -7.061069
  Sep 2022    50.1  1.008065     50.6  -4.887218
  Aug 2022    49.4 -1.397206     52.6  10.736842
  Jul 2022    49.0 -2.777778     53.8   0.938086
  Jun 2022    50.2 -1.375246     54.7   2.242991
..         ...     ...       ...      ...        ...
May 2008    53.3 -4.308797     57.4  -7.717042
Apr 2008    59.2  1.023891     58.4  -3.311258
Mar 2008    58.4  4.099822     58.9   1.202749
Feb 2008    53.4  0.564972     59.3  -2.145215
Jan 2008    53.0 -3.811252     60.2  -0.331126

Official manufacturing PMI

Interface: macro_china_pmi_yearly

Source URL: https://datacenter.jin10.com/reportType/dc_chinese_manufacturing_pmi

Description: China official manufacturing PMI; data from 20050201 to present

Limits: Returns all historical data in a single call

Input

Name	Type	Description
-	-	-

Output

Name	Type	Description
Item	object	-
Date	object	-
Actual	float64	-
Forecast	float64	-
Previous	float64	-

Example

import meshare as ms

macro_china_pmi_yearly_df = ms.macro_china_pmi_yearly()
print(macro_china_pmi_yearly_df)

Sample data

             Item        Date      Actual   Forecast Previous
  China official manufacturing PMI  2005-02-01  54.7   NaN   NaN
  China official manufacturing PMI  2005-03-01  54.5   NaN  54.7
  China official manufacturing PMI  2005-04-01  57.9   NaN  54.5
  China official manufacturing PMI  2005-05-01  56.7   NaN  57.9
  China official manufacturing PMI  2005-06-01  52.9   NaN  56.7
..          ...         ...   ...   ...   ...
China official manufacturing PMI  2023-11-30  49.4  49.7  49.5
China official manufacturing PMI  2023-12-31  49.0  49.5  49.4
China official manufacturing PMI  2024-01-31  49.2  49.2  49.0
China official manufacturing PMI  2024-03-01  49.1  49.1  49.2
China official manufacturing PMI  2024-03-31  50.8  50.1  49.1
[233 rows x 5 columns]

Official non-manufacturing PMI

Interface: macro_china_non_man_pmi

Source URL: https://datacenter.jin10.com/reportType/dc_chinese_non_manufacturing_pmi

Description: China official non-manufacturing PMI; data from 20160101 to present

Limits: Returns all historical data in a single call

Input

Name	Type	Description
-	-	-

Output

Name	Type	Description
Item	object	-
Date	object	-
Actual	float64	Unit: %
Forecast	float64	Unit: %
Previous	float64	Unit: %

Example

import meshare as ms

macro_china_non_man_pmi_df = ms.macro_china_non_man_pmi()
print(macro_china_non_man_pmi_df)

Sample data

                Item          Date    Actual   Forecast    Previous
  China official non-manufacturing PMI report  2007-02-01  60.4   NaN   NaN
  China official non-manufacturing PMI report  2007-03-01  60.6   NaN  60.4
  China official non-manufacturing PMI report  2007-04-01  58.2   NaN  60.6
  China official non-manufacturing PMI report  2007-05-01  60.4   NaN  58.2
  China official non-manufacturing PMI report  2007-06-01  62.2   NaN  60.4
..             ...         ...   ...   ...   ...
China official non-manufacturing PMI report  2023-11-30  50.2  51.1  50.6
China official non-manufacturing PMI report  2023-12-31  50.4  50.5  50.2
China official non-manufacturing PMI report  2024-01-31  50.7  50.6  50.4
China official non-manufacturing PMI report  2024-03-01  51.4  50.9  50.7
China official non-manufacturing PMI report  2024-03-31  53.0  51.3  51.4
[209 rows x 5 columns]

Caixin manufacturing PMI final

Interface: macro_china_cx_pmi_yearly

Source URL: https://datacenter.jin10.com/reportType/dc_chinese_caixin_manufacturing_pmi

Description: China Caixin manufacturing PMI final; data from 20120120 to present

Limits: Returns all historical data in a single call

Input

Name	Type	Description
-	-	-

Output

Name	Type	Description
Item	object	-
Date	object	-
Actual	float64	-
Forecast	float64	-
Previous	float64	-

Example

import meshare as ms

macro_china_cx_pmi_yearly_df = ms.macro_china_cx_pmi_yearly()
print(macro_china_cx_pmi_yearly_df)

Sample data

                 Item          Date    Actual   Forecast    Previous
  China Caixin manufacturing PMI final report  2012-01-20  48.8   NaN  48.7
  China Caixin manufacturing PMI final report  2012-02-22  49.7   NaN  48.8
  China Caixin manufacturing PMI final report  2012-03-22  48.1   NaN  49.6
  China Caixin manufacturing PMI final report  2012-04-23  49.1   NaN  48.3
  China Caixin manufacturing PMI final report  2012-05-02  49.3   NaN  49.1
..              ...         ...   ...   ...   ...
China Caixin manufacturing PMI final report  2023-12-01  50.7  49.3  49.5
China Caixin manufacturing PMI final report  2024-01-02  50.8  50.4  50.7
China Caixin manufacturing PMI final report  2024-02-01  50.8  50.8  50.8
China Caixin manufacturing PMI final report  2024-03-01  50.9  50.7  50.8
China Caixin manufacturing PMI final report  2024-04-01  51.1  51.0  50.9
[201 rows x 5 columns]

Caixin services PMI

Interface: macro_china_cx_services_pmi_yearly

Source URL: https://datacenter.jin10.com/reportType/dc_chinese_caixin_services_pmi

Description: China Caixin services PMI report; data from 20120405 to present

Limits: Returns all historical data in a single call

Input

Name	Type	Description
-	-	-

Output

Name	Type	Description
Item	object	-
Date	object	-
Actual	float64	-
Forecast	float64	-
Previous	float64	-

Example

import meshare as ms

macro_china_cx_services_pmi_yearly_df = ms.macro_china_cx_services_pmi_yearly()
print(macro_china_cx_services_pmi_yearly_df)

Sample data

               Item          Date    Actual   Forecast    Previous
  China Caixin services PMI report  2012-04-05  53.3   NaN  53.9
  China Caixin services PMI report  2012-05-04  54.1   NaN  53.3
  China Caixin services PMI report  2012-06-05  54.7   NaN  54.1
  China Caixin services PMI report  2012-07-04  52.3   NaN  54.7
  China Caixin services PMI report  2012-08-03  53.1   NaN  52.3
..            ...         ...   ...   ...   ...
China Caixin services PMI report  2023-12-05  51.5  50.7  50.4
China Caixin services PMI report  2024-01-04  52.9  51.6  51.5
China Caixin services PMI report  2024-02-05  52.7  53.0  52.9
China Caixin services PMI report  2024-03-05  52.5  52.9  52.7
China Caixin services PMI report  2024-04-03  52.7  52.7  52.5
[148 rows x 5 columns]