Series collection
[IPP/taxbenefit_tables/prestations_sociales.education.depart1825.proportion_maximum] Part maximale du montant du séjour prise en charge pour les bénéficiaires de l'aide Départ 18-25
- from
- 2014-09-05=0.5
- to
- 2022-Q1=0.8
- min:
- 0.5
- max:
- 0.9
- avg:
- 0.74
- σ:
- 0.132
| Series code | 2014-09-05 | 2020-Q1 | 2021-06-02 | 2021-09-30 | 2022-Q1 |
|---|---|---|---|---|---|
| [prestations_sociales.education.depart1825.proportion_maximum] | 0.5 | 0.75 | 0.9 | 0.75 | 0.8 |
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 = []
# Part maximale du montant du séjour prise en charge pour les bénéficiaires de l'aide Départ 18-25
df1 = fetch_series("IPP/taxbenefit_tables/prestations_sociales.education.depart1825.proportion_maximum")
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()