Series collection
- from
- 1959-01-01=1
- to
- 2022-01-01=1.011
- min:
- 1
- max:
- 1.27
- avg:
- 1.052
- σ:
- 0.061
| Series code | 1959-01-01 | 1961-01-01 | 1962-01-01 | 1963-01-01 | 1964-01-01 | 1965-01-01 | 1966-01-01 | 1967-01-01 | 1968-01-01 | 1969-01-01 | 1970-01-01 | 1971-01-01 | 1972-01-01 | 1973-01-01 | 1974-01-01 | 1975-01-01 | 1976-01-01 | 1977-01-01 | 1978-01-01 | 1979-01-01 | 1980-01-01 | 1981-01-01 | 1982-01-01 | 1983-01-01 | 1984-01-01 | 1985-01-01 | 1986-01-01 | 1987-01-01 | 1988-01-01 | 1989-01-01 | 1990-01-01 | 1991-01-01 | 1992-01-01 | 1993-01-01 | 1994-01-01 | 1995-01-01 | 1996-01-01 | 1997-01-01 | 1998-01-01 | 1999-01-01 | 2000-01-01 | 2001-01-01 | 2002-01-01 | 2003-01-01 | 2004-01-01 | 2005-01-01 | 2006-01-01 | 2007-01-01 | 2008-01-01 | 2009-01-01 | 2010-01-01 | 2011-01-01 | 2012-01-01 | 2013-01-01 | 2014-01-01 | 2015-01-01 | 2016-01-01 | 2017-01-01 | 2018-01-01 | 2019-01-01 | 2020-01-01 | 2021-01-01 | 2022-01-01 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [retraites.secteur_public.pension_civile.revalorisation_pension_au_31_decembre] | 1 | 1.26985598952651 | 1.20007302719189 | 1.1085855422118 | 1.05808847271553 | 1.04000732399524 | 1.05621025858415 | 1.08489698307579 | 1.15365025466893 | 1.10080598060974 | 1.11471354166667 | 1.10982658959538 | 1.08209538702111 | 1.1342674707343 | 1.18794774546987 | 1.17679147036945 | 1.15924116125323 | 1.11185682326622 | 1.09635599159075 | 1.13750498206457 | 1.13273137697517 | 1.11981799797776 | 1.06002143622722 | 1.05483323911815 | 1.04304245283019 | 1.02353651176826 | 1 | 1.02371794871795 | 1.03723404255319 | 1.02732240437158 | 1.01596113809854 | 1.03297491039427 | 1 | 1.01824817518248 | 1.01181683899557 | 1.02498107494322 | 1 | 1.0108275328693 | 1.01173708920188 | 1.00550747442958 | 1.02006420545746 | 1.02214930270714 | 1.01668056713928 | 1 | 1.015 | 1.02 | 1.018 | 1.018 | 1.019088 | 1.01 | 1.009 | 1.021 | 1.021 | 1.013 | 1 | 1.001 | 1 | 1.008 | 1 | 1.003 | 1.01 | 1.004 | 1.011 |
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 cummulée par année de perception de la valeur des pensions au 31 décembre
df1 = fetch_series("IPP/taxbenefit_tables/retraites.secteur_public.pension_civile.revalorisation_pension_au_31_decembre")
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()