Series collection

Trim NA Values

[openfisca-tunisia/parameters/impot_revenu.deductions.famille.age_sup] Age limite (exclu) des enfants de supérieur à charge

from: 1990-01-01=25

to: 1990-01-01=25

min:: 25

max:: 25

avg:: 25

σ:: 0

Series code	1990-01-01
[impot_revenu.deductions.famille.age_sup]	25

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 limite (exclu) des enfants de supérieur à charge
df1 = fetch_series("openfisca-tunisia/parameters/impot_revenu.deductions.famille.age_sup")
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()