Series collection

Trim NA Values

[IPP/taxbenefit_tables/prestations_sociales.education.garantie_pret_etudiant.age_max] Âge maximum jusqu'auquel une personne peut prétendre à la garantie de l'État au prêt étudiant, inclusif

from: 2020-06-08=27

to: 2020-06-08=27

min:: 27

max:: 27

avg:: 27

σ:: 0

Series code	2020-06-08
[prestations_sociales.education.garantie_pret_etudiant.age_max]	27

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 = []

# Âge maximum jusqu'auquel une personne peut prétendre à la garantie de l'État au prêt étudiant, inclusif
df1 = fetch_series("IPP/taxbenefit_tables/prestations_sociales.education.garantie_pret_etudiant.age_max")
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()