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Get Started - Initial Setup

  • Python instllation and set up
    • Download Anaconda
    • Create virtual environments

Lesson 1 - Data IO

  • Station Data format
    • Variable information for hourly data
  • Reading time-series station data
    • Setup the modules
    • Read the CSV data
    • Generate timestamps (YY-MM-DD HH:MM:SS)
    • Create new data frame
    • Save the data
    • Organize file and directory structure
  • Another method of merged data files (shell script)
    • Merge multiple datasets

Lesson 2 - Data management

  • Converting time zone to Mountain Time
    • Conversion of local time from UTC
    • Sample program for creating a new MT dated data set
  • Remove duplicate data and Connect to one series
    • Function of data insertion
    • Sample program for inserting (time series) dataset into a master file

Lesson 3 - QC/QA

  • Data required for quality control
    • Remove outliers
    • Remove spikes

Lesson 4 - Analysis

  • Analysis of time average
    • Resample function
    • Plots
    • Sample porgram
  • Analysis of daily maximum temperature
    • Calculated daily maximum/minimum data

Lesson 5 - Visualization

  • Plot time series data
    • Description of data structure and variables
  • Visualization tips
    • Change plot background color
    • Color name list
  • Map Projection (using Cartopy)
    • Monthly dataset
    • Monthly temperature plots on a map
    • Create animation
    • Gallery
  • Map Projection (using PyGMT)
    • Monthly dataset
    • Monthly temperature plots on a map
    • Create animation
    • Gallery
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© Copyright 2021, Megumi Chikamoto.

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