Series collection
[openfisca-tunisia/parameters/marche_travail.smig_48h_horaire] Salaire minimum interprofessionnel garanti (Smig) horaire - régime 48h par semaine
- from
- 1961-04-01=0.076
- to
- 2025-01-01=2.54
- min:
- 0.076
- max:
- 2.54
- avg:
- 0.885
- σ:
- 0.61
| Series code | 1961-04-01 | 1966-01-01 | 1968-05-01 | 1971-05-01 | 1974-01-01 | 1975-06-01 | 1977-02-01 | 1978-05-01 | 1979-05-01 | 1980-02-01 | 1980-05-01 | 1981-04-01 | 1982-02-01 | 1983-01-01 | 1986-07-01 | 1987-11-01 | 1988-04-01 | 1989-08-01 | 1990-01-01 | 1991-08-01 | 1992-05-01 | 1992-08-01 | 1993-05-01 | 1993-08-01 | 1994-08-01 | 1995-05-01 | 1996-05-01 | 1996-09-09 | 1997-07-20 | 1997-11-07 | 1998-08-20 | 1999-05-01 | 1999-08-19 | 2000-05-01 | 2001-07-01 | 2002-07-01 | 2003-07-01 | 2004-07-01 | 2005-09-01 | 2006-07-01 | 2007-07-01 | 2008-07-01 | 2009-08-01 | 2010-07-01 | 2011-05-01 | 2012-07-01 | 2014-05-01 | 2015-05-01 | 2016-08-01 | 2018-05-01 | 2019-05-01 | 2020-10-01 | 2022-10-01 | 2024-05-01 | 2025-01-01 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [marche_travail.smig_48h_horaire] | 0.076 | 0.084 | 0.084 | 0.104 | 0.13 | 0.145 | 0.193 | 0.21425 | 0.232 | 0.23896 | 0.263 | 0.311 | 0.409 | 0.457 | 0.481 | 0.505 | 0.529 | 0.543 | 0.591 | 0.601 | 0.639 | 0.649 | 0.687 | 0.697 | 0.707 | 0.741 | 0.77 | 0.78 | 0.79 | 0.819 | 0.831 | 0.86 | 0.87 | 0.899 | 0.94 | 0.974 | 1.015 | 1.049 | 1.078 | 1.112 | 1.153 | 1.211 | 1.253 | 1.31 | 1.375 | 1.451 | 1.538 | 1.625 | 1.717 | 1.82 | 1.938 | 2.064 | 2.208 | 2.363 | 2.54 |
Loading chart
This Python snippet uses the DBnomics Python client to download the series of your cart and plot each of them with a line chart.
This is a starting point that you can customize. Plotly is used here, however any other chart library can be used.
You can start by copying it to a Jupyter Notebook , for example.
If you add series to your cart, you will need to copy-paste the new lines of the source code.
import plotly.express as px
import pandas as pd
from dbnomics import fetch_series
dfs = []
# Salaire minimum interprofessionnel garanti (Smig) horaire - régime 48h par semaine
df1 = fetch_series("openfisca-tunisia/parameters/marche_travail.smig_48h_horaire")
df1["series_id"] = df1[["provider_code", "dataset_code", "series_code"]].agg('/'.join, axis=1)
dfs.append(df1)
# display(df1)
display(px.line(df1, x="period", y="value", title=df1.series_id[0]))
df_all = pd.concat(dfs)
fig = px.line(df_all, x="period", y="value", color="series_code", title="All the cart")
fig.update_layout(legend={"xanchor": "right", "yanchor": "bottom"})
fig.show()