Series collection
[openfisca-tunisia/parameters/marche_travail.salaire_de_base_40h_mensuel] salaire de base mensuel - régime 40h par semaine
- from
- 2008-07=187.88
- to
- 2014-05=244.559
- min:
- 187.88
- max:
- 244.559
- avg:
- 213.071
- σ:
- 19.541
| Series code | 2008-07 | 2009-08 | 2010-07 | 2011-05 | 2012-07 | 2014-05 |
|---|---|---|---|---|---|---|
| [marche_travail.salaire_de_base_40h_mensuel] | 187.88 | 195.16 | 205.04 | 216.306 | 229.479 | 244.559 |
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 de base mensuel - régime 40h par semaine
df1 = fetch_series("openfisca-tunisia/parameters/marche_travail.salaire_de_base_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()