global_prevalence(pango_lin, mutations, cumulative, lineage_crumbs=False)
- outbreak_data.global_prevalence(pango_lin, mutations=None, cumulative=None, server='api.outbreak.info')
Returns the global daily prevalence of a PANGO lineage
- Arguments:
- pangolin_lineage:
(Required).
- mutations:
(Optional). Comma separated list of mutations.
- cumulative:
(Optional). If true returns the cumulative global prevalence since the first day of detection.
- return:
A pandas dataframe.
Example: Get global info on lineage ‘XBB’:
df = outbreak_data.global_prevalence('xbb')
print(df)
Output:
date total_count lineage_count total_count_rolling \
0 2021-06-29 15453 2 10772.428571
1 2021-06-30 13101 0 11060.571429
2 2021-07-01 13088 0 11495.000000
3 2021-07-02 11562 0 11890.571429
4 2021-07-03 8310 0 11845.571429
.. ... ... ... ...
713 2023-06-12 27 0 112.428571
714 2023-06-13 8 0 61.714286
715 2023-06-14 1 0 36.000000
716 2023-06-15 1 0 25.285714
717 2023-06-17 1 0 8.000000
lineage_count_rolling proportion proportion_ci_lower \
0 0.285714 0.000027 4.558329e-08
1 0.285714 0.000026 4.439232e-08
2 0.285714 0.000025 4.271630e-08
3 0.285714 0.000024 4.129377e-08
4 0.285714 0.000024 4.145063e-08
.. ... ... ...
713 0.142857 0.001271 4.374452e-06
714 0.000000 0.000000 7.888011e-06
715 0.000000 0.000000 1.354537e-05
716 0.000000 0.000000 1.944577e-05
717 0.000000 0.000000 5.949030e-05
proportion_ci_upper
0 0.000233
1 0.000227
2 0.000218
3 0.000211
4 0.000212
.. ...
713 0.022129
714 0.039548
715 0.066944
716 0.094683
717 0.262217
[718 rows x 8 columns]