Series collection
[openfisca-tunisia/parameters/marche_travail.smig_48h_mensuel] Salaire minimum interprofessionnel garanti (Smig) mensuel - régime 48h par semaine
- from
- 1975-06-01=30.16
- to
- 2025-01-01=528.32
- min:
- 30.16
- max:
- 528.32
- avg:
- 230.55
- σ:
- 117.145
| Series code | 1975-06-01 | 1980-05-01 | 1982-02-01 | 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_mensuel] | 30.16 | 54.704 | 54.704 | 123.016 | 125.016 | 132.912 | 134.992 | 142.896 | 144.976 | 147.056 | 154.128 | 160.16 | 162.24 | 164.32 | 170.352 | 172.848 | 178.88 | 180.96 | 186.992 | 195.52 | 202.592 | 211.12 | 218.192 | 224.224 | 231.296 | 239.824 | 251.888 | 260.624 | 272.48 | 286 | 301.808 | 319.904 | 338 | 357.136 | 378.56 | 403.104 | 429.312 | 459.264 | 491.504 | 528.32 |
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) mensuel - régime 48h par semaine
df1 = fetch_series("openfisca-tunisia/parameters/marche_travail.smig_48h_mensuel")
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()