tseuler 0.0.3.dev0

A library for Time-Series exploration, analysis & modelling.

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

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Installation

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Installation

pip install tseuler

Usage

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• 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

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tseuler has been built upon:-

• pandas
• numpy
• panel
• altair
• matplotlib
• statsmodels

v0.0.1 : Original Package

• Added TSMAD