Series collection
- from
- 1991=NA
- to
- 2001=61
- min:
- 61
- max:
- 400
- avg:
- 230.5
- σ:
- 169.5
- from
- 1992-01-01=1,000
- to
- 2001-01-01=153
- min:
- 153
- max:
- 1,000
- avg:
- 576.5
- σ:
- 423.5
- from
- 1992-01-01=1,200
- to
- 2001-01-01=183
- min:
- 183
- max:
- 1,200
- avg:
- 691.5
- σ:
- 508.5
| Series code | 1992-01-01 | 2001-01-01 |
|---|---|---|
| [impot_revenu.calcul_reductions_impots.enfants_scolarises.lycee] | 1000 | 153 |
| [impot_revenu.calcul_reductions_impots.enfants_scolarises.universite] | 1200 | 183 |
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 = []
# Montant de la réduction d'impôts sur le revenu (IR) par enfant à charge fréquentant un collège (case 7EA)
df1 = fetch_series("IPP/taxbenefit_tables/impot_revenu.calcul_reductions_impots.enfants_scolarises.college")
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]))
# Montant de la réduction d'impôts sur le revenu (IR) par enfant à charge fréquentant un lycée d'enseignement général et technologique ou un lycée professionnel (case 7EC)
df2 = fetch_series("IPP/taxbenefit_tables/impot_revenu.calcul_reductions_impots.enfants_scolarises.lycee")
df2["series_id"] = df2[["provider_code", "dataset_code", "series_code"]].agg('/'.join, axis=1)
dfs.append(df2)
# display(df2)
display(px.line(df2, x="period", y="value", title=df2.series_id[0]))
# Montant de la réduction d'impôts sur le revenu (IR) par enfant à charge suivant une formation d'enseignement supérieur (case 7EF)
df3 = fetch_series("IPP/taxbenefit_tables/impot_revenu.calcul_reductions_impots.enfants_scolarises.universite")
df3["series_id"] = df3[["provider_code", "dataset_code", "series_code"]].agg('/'.join, axis=1)
dfs.append(df3)
# display(df3)
display(px.line(df3, x="period", y="value", title=df3.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()