A library for Time-Series exploration, analysis & modelling.
Project description
tseuler
A library for Time Series exploration, analysis & modelling. This includes -
As of now, this libray is in pre-alpha phase, i.e there is a lot of work still left before its first stable release.
TSMAD - Time Series Mini Analysis DashBoard.
Functionalities Include
- A mini Dashboard for Time Series Analysis, with multiple variations to each kind of analysis
TSSTATS - Time Series Statistical Functions
Functionalities Include:
- Entropy Calculations
- Intervention Analysis (In Future)
Example
Installation
Installation
pip install tseuler
Usage
-
Instantiating a DashBoard
import pandas as pd from tseuler import TSMAD # Read the Time Series DataFrame df = pd.read_csv('TimeSeriesdata3.csv', index_col=0) # Create a DashBoard! tb = TSMAD(tsdata=df, data_desc='Temperature Data', target_column = ['AverageTemperature'], categorical_columns = ['Country', 'City'])
Versions
tseuler
has been built upon:-
- pandas
- numpy
- panel
- altair
- matplotlib
- statsmodels
v0.0.1 : Original Package
- Added TSMAD
Project details
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