Dictionary like object with layers support
Project description
Laminated provide dictionary like object with the layers support. The general suppose is a data set with fluctuations in differents pieces.
Quick Examples
Example 1
from laminated import Laminated
# The company FOO has employeers with this paymenths in month
inition_employee_pay = {
'John': 120000,
'Mike': 150000,
'Sara': 80000,
'David': 60000,
}
l = Laminated()
l.add_layer(
name='2017-01',
data=inition_employee_pay,
)
# John have increase pays in february
l.add_layer(
name='2017-02',
data={
'John': 130000,
},
)
# March have no any differences, that layer is empty
l.add_layer({}, '2017-03')
# In April Sara groing up
l.add_layer(
name='2017-04',
data={
'Sara': 100000,
},
)
# how many company FOO spend money on they workers by months
amount = 0
for month in l.get_layers_names():
for employee in l:
amount += l.get_value_at_layer(month, employee)
# the result will be 1690000
print('Total amount of pays is {}'.format(amount))
Project details
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