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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file laminated-0.1.2.linux-x86_64.tar.gz
.
File metadata
- Download URL: laminated-0.1.2.linux-x86_64.tar.gz
- Upload date:
- Size: 3.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6ee9c41a8a724157b3eaca677bbceb13343566a8b7bc83f9da100b4832ed18f0 |
|
MD5 | 35df62c03affddf132eaef9bfeaeac79 |
|
BLAKE2b-256 | c4aed453d9a75f89c64894cb54e2139611af9affe1d37dfd557d887bc9d1842d |