Function plot_cluster_means has a Cognitive Complexity of 14 (exceeds 5 allowed). Consider refactoring. Open
def plot_cluster_means(cluster_means: Dict[int, dict]) -> None:
"""
Generate line plots of cluster means and 95% confidence intervals for each time series variable.
Parameters- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function clusters_for_plotting has a Cognitive Complexity of 11 (exceeds 5 allowed). Consider refactoring. Open
def clusters_for_plotting(
cluster_members: Dict[int, np.ndarray],
) -> Dict[int, dict]:
"""
Organize clustered arrays into format ready for plotting.- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function plot_clusters has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def plot_clusters(dict_to_plot: Dict[int, dict]) -> None:
"""
Generate line plots of all cluster members per time series variable per cluster.
Parameters- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function get_cluster_means has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def get_cluster_means(dict_to_plot: Dict[int, dict]) -> Dict[int, dict]:
"""
Get time series variables' mean values and 95% confidence intervals at each time point per cluster.
Parameters- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"