Series collection

[IPP/taxbenefit_tables/taxation_indirecte.tva.taux_reduit] Taux réduit de la taxe sur la valeur ajoutée (TVA)

from: 1954-07-01=0.075

to: 1982-07-01=0.055

min:: 0.055

max:: 0.1

avg:: 0.074

σ:: 0.013

Series code	1954-07-01	1955-07-01	1968-12-01	1970	1972	1982-07-01
[taxation_indirecte.tva.taux_reduit]	0.075	0.1	0.07	0.075	0.07	0.055

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 = []

# Taux réduit de la taxe sur la valeur ajoutée (TVA)
df1 = fetch_series("IPP/taxbenefit_tables/taxation_indirecte.tva.taux_reduit")
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()