78 lines
1.7 KiB
Markdown
78 lines
1.7 KiB
Markdown
## Fred
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For the ST.Louis Fred data, we mainly focus on the ["Main Economic Indicators" Series](https://fred.stlouisfed.org/tags/series?t=mei)
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```python
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from CEDA.economic.Fred import *
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usa = FredData(country="usa")
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usa_toc = usa.toc()
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data = usa.download_data(sid="LFAC24FEUSM647N")
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```
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## Eurostat
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```python
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from CEDA.economic.Eurostat import *
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eurostat = EurostatData(language="en")
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eurostat_toc = eurostat.toc()
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GDP_related = eurostat.search_toc(query="GDP")
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nama_10_gdp = eurostat.download_data(datasetcode="nama_10_gdp")
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tet00004 = eurostat.download_data(datasetcode="tet00004")
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```
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## ECB
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```python
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from CEDA.economic.ECB import *
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ecb = ECBData()
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ecb_toc = ecb.toc()
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AME = ecb.download_data(datasetname="AME")
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```
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## OECD
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```python
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from CEDA.economic.OECD import *
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oecd = OECDData()
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oecd_toc = oecd.toc()
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oecd_tos = oecd.tos(dataset="QNA")
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data = oecd.download_data(dataset="QNA", query="QNA/CAN.B1_GE.CQRSA.Q")
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```
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## NBSC
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```python
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from CEDA.economic.NBSC import *
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nbsc = NBSCData(language="en", period="monthly")
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nbsc_nodes = nbsc.tree_generation()
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nbsc_toc = nbsc.toc(nodes=nbsc_nodes)
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A010301 = nbsc.download_data(nid="A010301")
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```
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## Xinhua
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```python
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from CEDA.economic.XinHua import *
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xhdata = XHData()
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toc = xhdata.toc()
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data = xhdata.download_data(iid=12006) # GDP
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```
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## BOJ
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```python
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from CEDA.economic.BOJ import *
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boj = BOJData()
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boj_toc = boj.toc()
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survey = boj.download_data("Survey")
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```
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## EPU
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```python
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from CEDA.economic.EPU import *
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country_list, annotations = country_list()
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can_epu = EPUData(country="Canada")
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mainland_china_epu = EPUData(country="China")
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can_data, can_reference = can_epu.download()
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mainland_china_data, cn_reference = mainland_china_epu.download()
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``` |