Series collection
[openfisca-tunisia/parameters/retraite.cnrps.age_legal.civil.cadres_actifs] Age légal de de départ à la retraite pour certains cadres actifs et ouvriers
- from
- 1959-02-01=55
- to
- 2020-01-01=57
- min:
- 55
- max:
- 57
- avg:
- 56
- σ:
- 0.816
| Series code | 1959-02-01 | 2019-07-01 | 2020-01-01 |
|---|---|---|---|
| [retraite.cnrps.age_legal.civil.cadres_actifs] | 55 | 56 | 57 |
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 = []
# Age légal de de départ à la retraite pour certains cadres actifs et ouvriers
df1 = fetch_series("openfisca-tunisia/parameters/retraite.cnrps.age_legal.civil.cadres_actifs")
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()