global_prevalence(pango_lin, mutations, cumulative, lineage_crumbs=False) -------------------------------------------------------------------------- .. autofunction:: outbreak_data.global_prevalence Example: Get global info on lineage 'XBB':: df = outbreak_data.global_prevalence('xbb') print(df) .. code-block:: :caption: 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]