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| author | adamjanovsky | 2023-11-14 14:53:41 +0100 |
|---|---|---|
| committer | GitHub | 2023-11-14 14:53:41 +0100 |
| commit | f0f7fa7e6784afefb945effbc9834209a673db47 (patch) | |
| tree | bf1cd8f68a4b0b586ed9483fd0c39f7ed566a55d /src/sec_certs/utils/plot_utils.py | |
| parent | 1ccca9ae8afa8e6574e1cbba2c93b8d5428e2b2e (diff) | |
| parent | acfc35f1ced17a4c0918bd6e4e4e146e86552705 (diff) | |
| download | sec-certs-f0f7fa7e6784afefb945effbc9834209a673db47.tar.gz sec-certs-f0f7fa7e6784afefb945effbc9834209a673db47.tar.zst sec-certs-f0f7fa7e6784afefb945effbc9834209a673db47.zip | |
Merge pull request #374 from crocs-muni/bump-req-python-to-3-10
Bump req python to 3 10
Diffstat (limited to 'src/sec_certs/utils/plot_utils.py')
| -rw-r--r-- | src/sec_certs/utils/plot_utils.py | 10 |
1 files changed, 4 insertions, 6 deletions
diff --git a/src/sec_certs/utils/plot_utils.py b/src/sec_certs/utils/plot_utils.py index b9e7ac7c..eca79070 100644 --- a/src/sec_certs/utils/plot_utils.py +++ b/src/sec_certs/utils/plot_utils.py @@ -1,5 +1,3 @@ -from typing import Dict, List, Tuple - from networkx import DiGraph from pandas import DataFrame @@ -20,8 +18,8 @@ def get_cert_property(df: DataFrame, cert_id: int, column: str) -> str: def get_fips_cert_references_graph( - df: DataFrame, cert_id: int, colour_mapper: Dict[str, str] -) -> Tuple[DiGraph, List[str]]: + df: DataFrame, cert_id: int, colour_mapper: dict[str, str] +) -> tuple[DiGraph, list[str]]: if cert_id not in df["cert_id"].unique(): raise ValueError(f"Cert ID: {cert_id} is not in the dataset") @@ -45,7 +43,7 @@ def get_fips_cert_references_graph( return graph, colour_map -def get_most_referenced_cert_graph(df: DataFrame, status_colour_mapper: Dict[str, str]) -> Tuple[DiGraph, List[str]]: +def get_most_referenced_cert_graph(df: DataFrame, status_colour_mapper: dict[str, str]) -> tuple[DiGraph, list[str]]: graph = DiGraph() colour_map = [] max_referenced_by_num = df["incoming_direct_references_count"].max() @@ -66,7 +64,7 @@ def get_most_referenced_cert_graph(df: DataFrame, status_colour_mapper: Dict[str return graph, colour_map -def get_most_referencing_cert_graph(df: DataFrame, status_colour_mapper: Dict[str, str]) -> Tuple[DiGraph, List[str]]: +def get_most_referencing_cert_graph(df: DataFrame, status_colour_mapper: dict[str, str]) -> tuple[DiGraph, list[str]]: graph = DiGraph() colour_map = [] max_referencing_num = df["outgoing_direct_references_count"].max() |
