DataFunctions Class#

class DataFunctions.Functions#

Bases: object

Provides various functions when manipulating COVID data. These functions are mainly to be used with List data and will help you to do certain things. Any functions that will be reused should be put here.

Calc_CFR(lag, deaths, cases)#

Calculates the CFR with a specified lag in days.

Args:

lag: Integer Value, the amount of lag in days to have between the cases and deaths.
deaths: List, a list of deaths.
cases: List, a list of cases.

Returns:

A List of values that is the ((deaths + lag) / cases) given as a percentage.

add_aged_data(cat, L_Limit, h_Limit, govData)#

This method will iterate through age cats and add the data together using the add_datasets Method.

Args:

cat: String Value, this will be either deaths or cases.
L_Limit: Integer Value, this is the lower age limit 0 - 18.
h_Limit: Integer Value, this is the upper age limit 0 - 18.
govData: toolset.LoadDataSets object, this is the LoadDataSets object thats passed to this class.

add_datasets(set1, set2)#

Adds 2 datasets, both datasets must be of the same length This can be used to add deaths from different age groups together for instance O/P will be newSet[1] = data1[1] + data2[1], newSet[2] = data1[2] + data2[2], newSet[n] = data1[n] + data2[n], etc.

Args:

set1: List, the first list to add to the next list.
set2: List, the second list to add to the first list.

Returns:

A List that contains both lists set1 + set2.

calc_ratio_as_int(data1, data2)#

Used to divide one number by another and returning the result as an integer Can be use to calculate CFR or other ratios, use this when wnating data to plot on a graph.

Args:

data1: Integer Value, this value will be divided by the next.
data2: Integer Value, this value will divide the above value; data1/data2.

Returns:

An Integer value representing the percentage.

calc_ratio_as_int_noList(data1, data2)#

Used to divide one number by another and returning the result as an integer Can be use to calculate CFR or other ratios, use this when wanting data to plot on a graph Use this when data1 is a list but data2 is a single value.

Args:

data1: List, the values to be used to calculate the ratio.
data2: Integer Value, a single value to be use as the denominator for the calculation.

Returns:

A list of calulated values.

calc_ratio_as_percentage(data1, data2)#

Used to divide one number by another and returning the result as a string percentage Can be use to calculate CFR or other ratios, use this when wanting percentages for a table that are formatted.

Args:: >data1: Integer Value, this value will be divided by the next. >data2: Integer Value, this value will divide the above value; data1/data2.
Returns:: A string value with the percentage follows by % sign.

calc_time_series_per_million(data, age_group)#

Pass in an list of data and this will calculate the per million for that time series list the data list should just be a list of time series numbers. You also need toLoad pass in the age group 0 toLoad 18.

Args:: >data: List, timseries data that contain the numbers such as case or death figures. >age_group: Integer Value, age group from 0 to 18, the method will get population data from toolset.LoadDatasets.
Returns:: A time series list with per million amounts for the selected age group.

calc_total_per_million(data, age_group)#

Pass in a list of data and this will calculate the total per million for that list the data list should just be a list of time series numbers. You also need to pass in the age group 0 to 18.

Args:

data: List, timseries data that contain the numbers such as case or death figures.
age_group: Integer Value, age group from 0 to 18, the method will get population data from toolset.LoadDatasets.

Returns:

A single integer value that will be the amount per million for the selected age group.

get_first_records(days_to_sub, data)#

Returns the first n amount of records

Args:

days_to_sub: Integer Value, amount of days to return from the start of the dataset.
data: List, this is the full dataset as a list.

Returns:

A List of the first n values from the original dataset.

get_last_records(days_to_sub, data)#

Will return n amount of last records, so for instance if you want the last 90 days of cases you would pass the arguments 90 and govData.get_new_cases().

Args:

days_to_sub: Integer Value, amount of days to return from the end of the dataset.
data: List, this is the full dataset as a list.

Returns:

A List of the last n values from the original dataset.

scale_data(data, scale_factor)#

Uae this when you want to scale data in a list.

Args:

data: List, the data to be scaled.
scale_factor: Float Value, by how much to scale the data for a 25% increase use 1.25, etc.

Returns:

A List with the scaled values.

CovidDashboard Class

BenchMark Class