Series collection
- from
- 1964-01-01=900
- to
- 2021-01-01=3,492.37
- min:
- 900
- max:
- 18,253
- avg:
- 7,897.568
- σ:
- 5,830.75
| Series code | 1964-01-01 | 1964-11-01 | 1965-07-01 | 1966-01-01 | 1966-07-01 | 1967-01-01 | 1967-10-01 | 1968-01-01 | 1968-07-01 | 1969-10-01 | 1970-10-01 | 1971-10-01 | 1972-10-01 | 1973-07-01 | 1974-01-01 | 1974-07-01 | 1975-01-01 | 1975-04-01 | 1976-01-01 | 1976-07-01 | 1977-01-01 | 1977-07-01 | 1977-12-01 | 1978-07-01 | 1979-01-01 | 1979-07-01 | 1979-12-01 | 1980-06-01 | 1981-01-01 | 1981-07-01 | 1982-01-01 | 1982-07-01 | 1983-01-01 | 1983-07-01 | 1984-01-01 | 1984-07-01 | 1985-01-01 | 1985-07-01 | 1986-01-01 | 1986-10-01 | 1987-01-01 | 1987-07-01 | 1988-01-01 | 1988-07-01 | 1989-01-01 | 1989-07-01 | 1990-01-01 | 1990-07-01 | 1991-01-01 | 1991-07-01 | 1992-01-01 | 1992-07-01 | 1993-01-01 | 1994-01-01 | 1995-01-01 | 1995-07-01 | 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 | 2008-09-01 | 2009-04-01 | 2010-04-01 | 2011-04-01 | 2012-04-01 | 2013-04-01 | 2015-10-01 | 2017-10-01 | 2019-01-01 | 2020-01-01 | 2021-01-01 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [retraites.secteur_prive.regime_general_cnav.reversion_minimum] | 900 | 1000 | 1100 | 1150 | 1250 | 1300 | 1400 | 1450 | 1550 | 1650 | 1750 | 1850 | 2100 | 2250 | 2450 | 3000 | 3250 | 3500 | 3750 | 4000 | 4300 | 4750 | 5250 | 5800 | 6400 | 7000 | 7400 | 7900 | 8500 | 9400 | 10100 | 10900 | 11300 | 11750 | 11960 | 12220 | 12640 | 12990 | 13160 | 13230 | 13470 | 13600 | 13950 | 14130 | 14310 | 14490 | 14800 | 14990 | 15245 | 15365 | 15520 | 15800 | 16010 | 16331 | 16527 | 16610 | 16943 | 17147 | 17336 | 17683 | 17860 | 18253 | 2843.87 | 2886.53 | 2935.6 | 2994.31 | 3048.2 | 3103.06 | 3137.19 | 3162.28 | 3193.9 | 3222.64 | 3290.31 | 3359.4 | 3403.07 | 3406.47 | 3433.72 | 3444.02 | 3478.46 | 3492.37 |
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 = []
# Minimum de pension de réversion
df1 = fetch_series("IPP/taxbenefit_tables/retraites.secteur_prive.regime_general_cnav.reversion_minimum")
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()