Series collection

Trim NA Values

[IPP/taxbenefit_tables/retraites.secteur_prive.regime_general_cnav.reval_s] Coefficient de revalorisation des salaires portés aux comptes

from: 1949=1.2

to: 2025=1.022

min:: 1

max:: 1.32

avg:: 1.051

σ:: 0.054

Series code	1949	1950	1951	1952-04-01	1953-04-01	1955-04-01	1956-04-01	1957-04-01	1958-04-01	1959-04-01	1960-04-01	1961-04-01	1962-04-01	1963-04-01	1964-04-01	1965-04-01	1966-04-01	1967-04-01	1968-04-01	1969	1969-04-01	1969-11-01	1970-04-01	1971-04-01	1972-04-01	1973-04-01	1974	1974-07-01	1975	1975-07-01	1976	1976-07-01	1977	1977-07-01	1978	1978-07-01	1979	1979-07-01	1980	1980-07-01	1981	1981-07-01	1982	1982-07-01	1983	1984	1984-07-01	1985	1985-07-01	1986	1986-10-01	1987	1987-07-01	1988	1988-07-01	1989-07-01	1990	1990-07-01	1991	1991-07-01	1992	1992-07-01	1993	1994	1995	1995-07-01	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2008-09-01	2009-04-01	2010-04-01	2011-04-01	2012-04-01	2013-04-01	2014-04-01	2015-10-01	2016-10-01	2017-10-01	2018	2019	2020	2021	2022	2023	2024	2025
[retraites.secteur_prive.regime_general_cnav.reval_s]	1.2	1.32	1.16	1.1	1.2	1.09	1.085	1.12	1.075	1.135	1.105	1.077	1.15	1.16	1.12	1.11	1.069	1.058	1.056	1.04	1.0435	1.03	1.119	1.101	1.115	1.109	1.082	1.067	1.063	1.096	1.083	1.082	1.086	1.071	1.082	1.044	1.065	1.04	1.054	1.064	1.067	1.062	1.067	1.074	1.04	1.018	1.022	1.034	1.028	1.013	1.005	1.018	1.01	1.026	1.013	1.012	1.0215	1.013	1.017	1.008	1.01	1.018	1.013	1.02	1.012	1.005	1.02	1.012	1.011	1.012	1.005	1.022	1.022	1.015	1.017	1.02	1.018	1.018	1.011	1.008	1.01	1.009	1.021	1.021	1.013	1	1.001	1	1.008	1	1.015	1.01	1.004	1.011	1.008	1.053	1.022

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 = []

# Coefficient de revalorisation des salaires portés aux comptes
df1 = fetch_series("IPP/taxbenefit_tables/retraites.secteur_prive.regime_general_cnav.reval_s")
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()