Matplotlib is one of the most commonly used plotting library in Python. This lesson covers how to create a plot using matplotlib and how to customize matplotlib plot colors and label axes in Python.
last updated: 08 Oct 2018
When you plot time series data in matplotlib, you often want to customize the date format that is presented on the plot. Learn how to customize the date format in a Python matplotlib plot.
last updated: 08 Oct 2018
Sometimes you need to take time series data collected at a higher resolution (for instance many times a day) and summarize it to a daily, weekly or even monthly value. This process is called resampling in Python and can be done using pandas dataframes. Learn how to resample time series data in Python with pandas.
last updated: 08 Oct 2018
Sometimes you have data over a longer time span than you need to run analysis. Learn how to subset your data using a begina and end date in Python.
last updated: 08 Oct 2018
This lesson covers how to deal with dates in Python. It reviews how to convert a field containing dates as strings to a datetime object that Python can understand and plot efficiently. This tutorial also covers how to handle missing data values in Python.
last updated: 08 Oct 2018
Sometimes you want to customize the colorbar and range of values plotted in a raster map. Learn how to create breaks to plot rasters in Python.
last updated: 25 Sep 2018
This lesson covers creating interactive maps with Python in Jupyter Notebook.
last updated: 25 Sep 2018
This lesson covers how to overlay raster data on top of a hillshade in Python and layer opacity arguments.
last updated: 25 Sep 2018
This lesson will discuss some of the challenges associated with working with social media data in science. These challenges include working with non standard text, large volumes of data, API limitations, and geolocation issues.
last updated: 10 Jan 2018
In this lesson you will review how to adjust the extent of a spatial plot in R using the ext() or extent argument and the extent of another layer.
last updated: 10 Jan 2018
In this lesson you learn to use the par() or parameter settings in R to plot several raster RGB plots in R in a grid.
last updated: 10 Jan 2018
In this lesson you review how to remove those pesky borders from a raster plot using base plot in R. We also cover adding legends to your plot outside of the plot extent.
last updated: 10 Jan 2018
This lesson covers how to overlay raster data on a hillshade in R using baseplot and layer opacity arguments.
last updated: 10 Jan 2018
This lesson covers creating a basemap with the ggmap package in R. Given some ongoing bugs with ggmap it also covers the map package as a backup!
last updated: 10 Jan 2018
This lesson introduces the mutate() and group_by() dplyr functions - which allow you to aggregate or summarize time series data by a particular field - in this case you will aggregate data by day to get daily precipitation totals for Boulder during the 2013 floods.
last updated: 30 Jul 2018
This lesson illustrated what your final stream discharge homework plots should look like for the week. Use all of the skills that you've learned in the previous lessons to complete it.
last updated: 10 Jan 2018
Learn how to summarize time series data by day, month or year with Tidyverse pipes in R.
last updated: 10 Jan 2018
Learn how to extract and plot data by a range of dates using pipes in R.
last updated: 30 Jul 2018
Times series data can be manipulated efficiently in R. Learn how to work with, plot and subset data with dates in R.
last updated: 30 Jul 2018
Learn how to plot data and customize your plots using ggplot in R.
last updated: 10 Jan 2018