Series collection
[openfisca-tunisia/parameters/marche_travail.smig_40h_mensuel] Salaire minimum interprofessionnel garanti (Smig) mensuel - régime 40h par semaine
- from
- 1961-04-01=13.173
- to
- 2025-01-01=448.238
- min:
- 13.173
- max:
- 448.238
- avg:
- 158.966
- σ:
- 108.067
| 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_40h_mensuel] | 13.173 | 14.56 | 14.56 | 18.026 | 22.533 | 25.133 | 35.133 | 38.817 | 40.212 | 41.418 | 45.586 | 55.586 | 75.586 | 83.906 | 88.066 | 92.226 | 96.386 | 99.386 | 107.706 | 109.706 | 116.318 | 118.398 | 124.971 | 127.051 | 129.131 | 135.024 | 140.051 | 142.131 | 144.211 | 149.237 | 151.664 | 156.691 | 158.771 | 163.798 | 170.905 | 176.799 | 183.906 | 189.8 | 194.827 | 200.721 | 207.828 | 217.88 | 225.16 | 235.04 | 246.306 | 259.479 | 274.559 | 289.639 | 305.586 | 323.439 | 343.892 | 365.732 | 390.692 | 417.558 | 448.238 |
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 40h par semaine
df1 = fetch_series("openfisca-tunisia/parameters/marche_travail.smig_40h_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()