Commit 2817d45b authored by Christophe Benz's avatar Christophe Benz
Browse files

Update hostname

parent 6d698947
......@@ -34,7 +34,7 @@ import requests
default_api_base_url = os.environ.get('API_URL') or 'https://api.db.nomics.world/v22/'
default_max_nb_series = 50
default_editor_api_base_url = os.environ.get('EDITOR_API_URL') or 'https://editor.dbnomics.org/api/v1/'
default_editor_api_base_url = os.environ.get('EDITOR_API_URL') or 'https://editor.nomics.world/api/v1/'
editor_apply_endpoint_nb_series_per_post = 100
log = logging.getLogger(__name__)
......@@ -81,7 +81,7 @@ def fetch_series(provider_code=None, dataset_code=None, series_code=None, dimens
If `max_nb_series` is `None`, a default value of 50 series will be used.
If `filters` is not `None`, apply those filters using the Time Series Editor API (Cf https://editor.dbnomics.org/filters)
If `filters` is not `None`, apply those filters using the Time Series Editor API (Cf https://editor.nomics.world/filters)
Return a Python Pandas `DataFrame`.
......@@ -175,7 +175,7 @@ def fetch_series_by_api_link(api_link, max_nb_series=None,
"API link" URLs can be found on DBnomics web site (https://db.nomics.world/) on dataset or series pages
using "Download" buttons.
If `filters` is not `None`, apply those filters using the Time Series Editor API (Cf https://editor.dbnomics.org/filters)
If `filters` is not `None`, apply those filters using the Time Series Editor API (Cf https://editor.nomics.world/filters)
Example:
fetch_series(api_link="https://api.db.nomics.world/v22/series?provider_code=AMECO&dataset_code=ZUTN")
......
%% Cell type:markdown id: tags:
 
# Introduction to DBnomics in Python
 
%% Cell type:markdown id: tags:
 
This tutorial explains how to obtain economic [time series](https://en.wikipedia.org/wiki/Time_series) from [DBnomics](https://db.nomics.world/), how to manipulate them and how to visualize them.
 
We will use well-known Python packages to achieve our goal, like [Pandas](http://pandas.pydata.org/) to represent tabular data, and [Altair](https://altair-viz.github.io/) to create the charts.
 
We will also use the [`dbnomics` Python package](https://git.nomics.world/dbnomics/dbnomics-python-client) to obtain data from the DBnomics Web API.
 
First, let's import those libraries:
 
%% Cell type:code id: tags:
 
``` python
import pandas as pd
import altair as alt
alt.renderers.enable('notebook')
from altair import Chart, Scale, Y
 
from dbnomics import fetch_series, fetch_series_by_api_link
```
 
%% Cell type:markdown id: tags:
 
Note: in this notebook we are going to follow the conventions of the Scientific Python community. In particular, the `df` shortcut for `DataFrame`.
 
%% Cell type:markdown id: tags:
 
## Fetch one time series by code
 
%% Cell type:markdown id: tags:
 
First, let's assume that we know which series we want to download. A series identifier (ID) is defined by three values, formatted like this: `provider_code/dataset_code/series_code`. We can use the `fetch_series` function, previously imported from the `dbnomics` Python package.
 
For example, to fetch the time series `EA19.1.0.0.0.ZUTN` from the ["Unemployment rate" [ZUTN] dataset](https://db.nomics.world/AMECO/ZUTN) belonging to the [AMECO provider](https://db.nomics.world/AMECO):
 
%% Cell type:code id: tags:
 
``` python
df1 = fetch_series('AMECO/ZUTN/EA19.1.0.0.0.ZUTN')
```
 
%% Cell type:markdown id: tags:
 
The returned data is stored in the `df1` variable. Its type is a [Pandas](http://pandas.pydata.org/) [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe).
 
Now let's display the first rows of this `DataFrame` by using the `head` method, each row representing an observation of the time series:
 
%% Cell type:code id: tags:
 
``` python
df1.head()
```
 
%%%% Output: execute_result
 
@frequency provider_code dataset_code \
0 annual AMECO ZUTN
1 annual AMECO ZUTN
2 annual AMECO ZUTN
3 annual AMECO ZUTN
4 annual AMECO ZUTN
dataset_name series_code \
0 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
1 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
2 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
3 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
4 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
series_name original_period \
0 Annually – (Percentage of active population) –... 1960
1 Annually – (Percentage of active population) –... 1961
2 Annually – (Percentage of active population) –... 1962
3 Annually – (Percentage of active population) –... 1963
4 Annually – (Percentage of active population) –... 1964
period original_value value freq geo unit
0 1960-01-01 NA NaN a ea19 percentage-of-active-population
1 1961-01-01 NA NaN a ea19 percentage-of-active-population
2 1962-01-01 NA NaN a ea19 percentage-of-active-population
3 1963-01-01 NA NaN a ea19 percentage-of-active-population
4 1964-01-01 NA NaN a ea19 percentage-of-active-population
 
%% Cell type:markdown id: tags:
 
In such `DataFrame`, you will always find at least those columns:
- `@frequency`: (harmonized frequency generated by DBnomics)
- `provider_code`
- `dataset_code`
- `dataset_name`
- `series_code`
- `series_name`
- `original_period`: the period as returned by DBnomics
- `period` (`pd.Timestamp`): the first day of `original_period`
- `original_value` (`str` or `float`): the observation value as returned by DBnomics, where not available values are represented by `"NA"`
- `value` (`float` or `np.NaN`): the observation value as returned by DBnomics, where not available values are represented by `np.NaN`
 
Depending on the dataset, other columns can exist, corresponding to the dimensions of the dataset. In `df1` you have `unit`, `geo` and `freq`.
 
%% Cell type:markdown id: tags:
 
Here we use the [Altair](https://altair-viz.github.io/) library to render charts, but you can use any other one like matplotlib, bqplot, plotly, etc.
 
The time series contains "NA" (not available) values in the `value` column, represented by `NaN` values. We remove them to make sure the chart takes most of the available space.
 
%% Cell type:code id: tags:
 
``` python
chart = Chart(df1[df1.value.notna()]).mark_line().encode(
x='period',
y=Y('value', scale=Scale(zero=False)),
)
chart
```
 
%%%% Output: display_data
 
 
%%%% Output: execute_result
 
 
%%%% Output: display_data
 
![](data:image/png;base64,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)
 
%% Cell type:markdown id: tags:
 
## Fetch two time series by code
 
%% Cell type:markdown id: tags:
 
Again, let's assume that we know which series we want to download. We can reuse the `fetch_series` function, this time with two series codes.
 
For example, to fetch the time series `EA19.1.0.0.0.ZUTN` and `DNK.1.0.0.0.ZUTN` from the ["Unemployment rate" [ZUTN] dataset](https://db.nomics.world/AMECO/ZUTN) belonging to the [AMECO provider](https://db.nomics.world/AMECO):
 
%% Cell type:code id: tags:
 
``` python
df2 = fetch_series([
'AMECO/ZUTN/EA19.1.0.0.0.ZUTN',
'AMECO/ZUTN/DNK.1.0.0.0.ZUTN',
])
df2.head()
```
 
%%%% Output: execute_result
 
@frequency provider_code dataset_code \
0 annual AMECO ZUTN
1 annual AMECO ZUTN
2 annual AMECO ZUTN
3 annual AMECO ZUTN
4 annual AMECO ZUTN
dataset_name series_code \
0 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
1 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
2 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
3 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
4 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
series_name original_period \
0 Annually – (Percentage of active population) –... 1960
1 Annually – (Percentage of active population) –... 1961
2 Annually – (Percentage of active population) –... 1962
3 Annually – (Percentage of active population) –... 1963
4 Annually – (Percentage of active population) –... 1964
period original_value value freq geo unit
0 1960-01-01 NA NaN a ea19 percentage-of-active-population
1 1961-01-01 NA NaN a ea19 percentage-of-active-population
2 1962-01-01 NA NaN a ea19 percentage-of-active-population
3 1963-01-01 NA NaN a ea19 percentage-of-active-population
4 1964-01-01 NA NaN a ea19 percentage-of-active-population
 
%% Cell type:code id: tags:
 
``` python
chart = Chart(df2.query("period >= '2000'")).mark_line().encode(
x='period',
y=Y('value', scale=Scale(zero=False)),
color='series_code',
)
chart
```
 
%%%% Output: display_data
 
 
%%%% Output: execute_result
 
 
%%%% Output: display_data
 
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)
 
%% Cell type:markdown id: tags:
 
## Fetch time series by code mask
 
%% Cell type:markdown id: tags:
 
The code mask notation is a very concise way to select one or many time series at once. It is not compatible with all the providers (see [this list](https://git.nomics.world/dbnomics/dbnomics-api/blob/293603323b907ed3200580ab0ebe01ce60789972/dbnomics_api/application.cfg#L21)).
 
Quick description: given 3 dimensions "frequency", "country" and "indicator", you can select:
- one time series by giving its code: `"M.FR.PCPIEC_IX"`
- many series by enumerating dimensions codes: `"M.FR+DE.PCPIEC_IX"` is equivalent to `["M.FR.PCPIEC_IX", "M.DE.PCPIEC_IX"]`
- many series by skipping a dimension, repeating `"."` in the code mask: `"M..PCPIEC_IX"` is equivalent to `["M.country1.PCPIEC_IX", "M.country2.PCPIEC_IX", ..., "M.countryN.PCPIEC_IX"]`
 
%% Cell type:code id: tags:
 
``` python
code_mask_df = fetch_series("IMF", "CPI", series_code="M.FR+DE.PCPIEC_IX+PCPIA_IX")
code_mask_df = code_mask_df.query("period >= '2000' and period < '2002'")
code_mask_df.head()
```
 
%%%% Output: execute_result
 
@frequency provider_code dataset_code dataset_name \
540 monthly IMF CPI Consumer Price Index (CPI)
541 monthly IMF CPI Consumer Price Index (CPI)
542 monthly IMF CPI Consumer Price Index (CPI)
543 monthly IMF CPI Consumer Price Index (CPI)
544 monthly IMF CPI Consumer Price Index (CPI)
series_code series_name original_period \
540 M.DE.PCPIA_IX Monthly – Germany – Clothing and footwear 2000-01
541 M.DE.PCPIA_IX Monthly – Germany – Clothing and footwear 2000-02
542 M.DE.PCPIA_IX Monthly – Germany – Clothing and footwear 2000-03
543 M.DE.PCPIA_IX Monthly – Germany – Clothing and footwear 2000-04
544 M.DE.PCPIA_IX Monthly – Germany – Clothing and footwear 2000-05
period original_value value FREQ INDICATOR REFERENCE_PERIOD \
540 2000-01-01 93.2517 93.25172 M PCPIA_IX 2015A
541 2000-02-01 93.0622 93.06219 M PCPIA_IX 2015A
542 2000-03-01 93.2517 93.25172 M PCPIA_IX 2015A
543 2000-04-01 93.3465 93.34650 M PCPIA_IX 2015A
544 2000-05-01 93.2517 93.25172 M PCPIA_IX 2015A
REF_AREA
540 DE
541 DE
542 DE
543 DE
544 DE
 
%% Cell type:code id: tags:
 
``` python
chart = Chart(code_mask_df).mark_line().encode(
x='period',
y=Y('value', scale=Scale(zero=False)),
color='series_code',
)
chart
```
 
%%%% Output: display_data
 
 
%%%% Output: execute_result
 
 
%%%% Output: display_data
 
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)
 
%% Cell type:markdown id: tags:
 
## Fetch time series by dimension
 
%% Cell type:markdown id: tags:
 
Searching by dimension is a less concise way to select time series than using the code mask, but it's universal: some fetchers are not compatible with the code mask notation.
 
The following example fetches many series from the ["Doing Business" [DB]](https://db.nomics.world/WB/DB) dataset of the [World Bank](https://db.nomics.world/WB) provider, selecting for time series about France, Italy and Spain (`country` dimension), and the indicator "Procedures required to start a business - Women (number)" (`indicator` dimension):
 
%% Cell type:code id: tags:
 
``` python
df3 = fetch_series("WB", "DB", dimensions={
"country": ["FR", "IT", "ES"],
"indicator": ["IC.REG.COST.PC.FE.ZS.DRFN"],
})
df3.head()
```
 
%%%% Output: execute_result
 
@frequency provider_code dataset_code dataset_name \
0 annual WB DB Doing Business
1 annual WB DB Doing Business
2 annual WB DB Doing Business
3 annual WB DB Doing Business
4 annual WB DB Doing Business
series_code \
0 IC.REG.COST.PC.FE.ZS.DRFN-ES
1 IC.REG.COST.PC.FE.ZS.DRFN-ES
2 IC.REG.COST.PC.FE.ZS.DRFN-ES
3 IC.REG.COST.PC.FE.ZS.DRFN-ES
4 IC.REG.COST.PC.FE.ZS.DRFN-ES
series_name original_period \
0 Starting a business: Cost - Women (% of income... 2004
1 Starting a business: Cost - Women (% of income... 2005
2 Starting a business: Cost - Women (% of income... 2006
3 Starting a business: Cost - Women (% of income... 2007
4 Starting a business: Cost - Women (% of income... 2008
period original_value value ATTRIBUTE country \
0 2004-01-01 91.60 91.60 ES
1 2005-01-01 91.52 91.52 ES
2 2006-01-01 91.76 91.76 ES
3 2007-01-01 91.89 91.89 ES
4 2008-01-01 92.47 92.47 ES
indicator
0 IC.REG.COST.PC.FE.ZS.DRFN
1 IC.REG.COST.PC.FE.ZS.DRFN
2 IC.REG.COST.PC.FE.ZS.DRFN
3 IC.REG.COST.PC.FE.ZS.DRFN
4 IC.REG.COST.PC.FE.ZS.DRFN
 
%% Cell type:markdown id: tags:
 
To know the codes of the time series you got:
 
%% Cell type:code id: tags:
 
``` python
df3.series_code.unique().tolist()
```
 
%%%% Output: execute_result
 
['IC.REG.COST.PC.FE.ZS.DRFN-ES',
'IC.REG.COST.PC.FE.ZS.DRFN-FR',
'IC.REG.COST.PC.FE.ZS.DRFN-IT']
 
%% Cell type:code id: tags:
 
``` python
chart = Chart(df3).mark_line().encode(
x='period',
y=Y('value', scale=Scale(zero=False)),
color='series_code',
)
chart
```
 
%%%% Output: display_data
 
 
%%%% Output: execute_result
 
 
%%%% Output: display_data
 
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)
 
%% Cell type:markdown id: tags:
 
## Fetch time series by API link
 
%% Cell type:markdown id: tags:
 
When you don't know the codes of the dimensions, provider, dataset or series, you can:
 
- go to the page of a dataset on DBnomics website, for example [Doing Business](https://db.nomics.world/WB/DB),
- select some dimensions by using the input widgets of the left column,
- click on "Copy API link" in the menu of the "Download" button,
- use the `fetch_series_by_api_link` function such as below.
 
%% Cell type:code id: tags:
 
``` python
df4 = fetch_series_by_api_link("https://api.db.nomics.world/v22/series/WB/DB?observations=1&dimensions=%7B%22country%22%3A%5B%22FR%22%2C%22IT%22%2C%22ES%22%5D%2C%22indicator%22%3A%5B%22IC.REG.COST.PC.FE.ZS.DRFN%22%5D%7D")
df4.head()
```
 
%%%% Output: execute_result
 
@frequency provider_code dataset_code dataset_name \
0 annual WB DB Doing Business
1 annual WB DB Doing Business
2 annual WB DB Doing Business
3 annual WB DB Doing Business
4 annual WB DB Doing Business
series_code \
0 IC.REG.COST.PC.FE.ZS.DRFN-ES
1 IC.REG.COST.PC.FE.ZS.DRFN-ES
2 IC.REG.COST.PC.FE.ZS.DRFN-ES
3 IC.REG.COST.PC.FE.ZS.DRFN-ES
4 IC.REG.COST.PC.FE.ZS.DRFN-ES
series_name original_period \
0 Starting a business: Cost - Women (% of income... 2004
1 Starting a business: Cost - Women (% of income... 2005
2 Starting a business: Cost - Women (% of income... 2006
3 Starting a business: Cost - Women (% of income... 2007
4 Starting a business: Cost - Women (% of income... 2008
period original_value value ATTRIBUTE country \
0 2004-01-01 91.60 91.60 ES
1 2005-01-01 91.52 91.52 ES
2 2006-01-01 91.76 91.76 ES
3 2007-01-01 91.89 91.89 ES
4 2008-01-01 92.47 92.47 ES
indicator
0 IC.REG.COST.PC.FE.ZS.DRFN
1 IC.REG.COST.PC.FE.ZS.DRFN
2 IC.REG.COST.PC.FE.ZS.DRFN
3 IC.REG.COST.PC.FE.ZS.DRFN
4 IC.REG.COST.PC.FE.ZS.DRFN
 
%% Cell type:code id: tags:
 
``` python
chart = Chart(df4).mark_line().encode(
x='period',
y=Y('value', scale=Scale(zero=False)),
color='series_code',
)
chart
```
 
%%%% Output: display_data
 
 
%%%% Output: execute_result
 
 
%%%% Output: display_data
 
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)
 
%% Cell type:markdown id: tags:
 
The chart is exactly the same than the previous one.
 
%% Cell type:markdown id: tags:
 
## Fetch time series from the cart
 
%% Cell type:markdown id: tags:
 
On the [cart page](https://db.nomics.world/cart) of the DBnomics website, click on "Copy API link" and copy-paste it as an argument of the `fetch_series_by_api_link` function.
 
Please note that when you update your cart, you have to copy this link again, because the link itself contains the IDs of the series in the cart.
 
%% Cell type:code id: tags:
 
``` python
cart_df = fetch_series_by_api_link("https://api.db.nomics.world/v22/series?series_ids=AMECO%2FZUTN%2FEA19.1.0.0.0.ZUTN&observations=1")
cart_df.head()
```
 
%%%% Output: execute_result
 
@frequency provider_code dataset_code \
0 annual AMECO ZUTN
1 annual AMECO ZUTN
2 annual AMECO ZUTN
3 annual AMECO ZUTN
4 annual AMECO ZUTN
dataset_name series_code \
0 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
1 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
2 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
3 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
4 Unemployment rate: total :- Member States: def... EA19.1.0.0.0.ZUTN
series_name original_period \
0 Annually – (Percentage of active population) –... 1960
1 Annually – (Percentage of active population) –... 1961
2 Annually – (Percentage of active population) –... 1962
3 Annually – (Percentage of active population) –... 1963
4 Annually – (Percentage of active population) –... 1964
period original_value value freq geo unit
0 1960-01-01 NA NaN a ea19 percentage-of-active-population
1 1961-01-01 NA NaN a ea19 percentage-of-active-population
2 1962-01-01 NA NaN a ea19 percentage-of-active-population
3 1963-01-01 NA NaN a ea19 percentage-of-active-population
4 1964-01-01 NA NaN a ea19 percentage-of-active-population
 
%% Cell type:markdown id: tags:
 
## Mix different frequencies on the same chart
 
%% Cell type:code id: tags: