Series collection
- from
- 1968-07-08=0.07
- to
- 2023-07-01=0.019
- min:
- 0
- max:
- 0.1
- avg:
- 0.035
- σ:
- 0.025
| Series code | 1968-07-08 | 1974-07-01 | 1974-12-30 | 1975-06-02 | 1975-10-06 | 1976-04-05 | 1976-10-04 | 1977-04-04 | 1977-10-03 | 1978-04-03 | 1978-10-02 | 1979-04-02 | 1979-10-01 | 1980-04-01 | 1980-10-01 | 1981-04-01 | 1981-10-01 | 1982-04-01 | 1982-11-01 | 1983-04-01 | 1984-04-01 | 1984-10-01 | 1985-04-01 | 1985-10-01 | 1986-04-01 | 1986-10-01 | 1987-04-01 | 1987-10-01 | 1988-10-01 | 1989-10-01 | 1990-10-01 | 1991-07-01 | 1992-07-01 | 1994-07-01 | 1995-07-01 | 1996-07-01 | 1997-07-01 | 1998-07-01 | 1999-07-01 | 2000-07-01 | 2001-07-01 | 2002-07-01 | 2003-07-01 | 2004-07-01 | 2006-07-01 | 2007-07-01 | 2008-07-01 | 2009-07-01 | 2010-07-01 | 2011-07-01 | 2012-07-01 | 2017-07-01 | 2018-07-01 | 2019-07-01 | 2020-07-01 | 2021-07-01 | 2022-07-01 | 2023-04-01 | 2023-07-01 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [chomage.allocations_assurance_chomage.sr_alloc.sr_alloc] | 0.07 | 0.1 | 0.07 | 0.06 | 0.07 | 0.06 | 0.07 | 0.064 | 0.056 | 0.061 | 0.074 | 0.05 | 0.062 | 0.0713 | 0.0824 | 0.0664 | 0.0743 | 0.0831 | 0.016 | 0.04 | 0.035 | 0.028 | 0.0245 | 0.025 | 0 | 0.018 | 0.015 | 0.017 | 0.03 | 0.036 | 0.039 | 0.021 | 0.027 | 0.021 | 0.022 | 0.0245 | 0.022 | 0.019 | 0.0122 | 0.02 | 0.024 | 0.015 | 0.0215 | 0.01 | 0.02 | 0.0195 | 0.025 | 0.01 | 0.012 | 0.015 | 0.02 | 0.0065 | 0.007 | 0.007 | 0.004 | 0.006 | 0.029 | 0.019 | 0.019 |
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 = []
# Revalorisation du salaire de référence des allocations chômage
df1 = fetch_series("IPP/taxbenefit_tables/chomage.allocations_assurance_chomage.sr_alloc.sr_alloc")
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()