Data Exploration and Analysis - Data Visualization

Customize Dates on Time Series Plots in Python Using Matplotlib

When you plot time series data using the matplotlib package in Python, you often want to customize the date format that is presented on the plot. Learn how to customize the date format on time series plots created using matplotlib.

last updated: 03 Mar 2020

Work With Datetime Format in Python - Time Series Data

Python provides a datetime object for storing and working with dates. Learn how you can convert columns in a pandas dataframe containing dates and times as strings into datetime objects for more efficient analysis and plotting.

last updated: 03 Mar 2020

Customize Your Plots Using Matplotlib

Matplotlib is the most commonly used plotting library in Python. Learn how to customize the colors, symbols, and labels on your plots using matplotlib.

last updated: 03 Mar 2020

Customize your Maps in Python using Matplotlib: GIS in Python

When making maps, you often want to create legends, customize colors, adjust zoom levels, or even make interactive maps. Learn how to customize maps created using vector data in Python with matplotlib, geopandas, and folium.

last updated: 30 Jan 2020

Customize Map Extents in Python: GIS in Python

When making maps, sometimes you want to zoom in to a specific area in your map. Learn how to adjust the x and y limits of your matplotlib and geopandas map to change the spatial extent that is displayed.

last updated: 30 Jan 2020

Customize Matplotlib Raster Maps in Python

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: 01 Apr 2020

Interactive Maps in Python

Folium is a Python package that can be used to create interactive maps in Jupyter Notebook. Learn how to create interactive maps with raster overlays in Python using Folium.

last updated: 02 Apr 2020

Plot Spatial Raster Data in Python.

When plotting rasters, you often want to overlay two rasters, add a legend, or make the raster interactive. Learn how to make a map of raster data that has these attributes using Python.

last updated: 03 Mar 2020

Work With Twitter Social Media Data in R - An Introduction

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: 08 Jan 2020

Adjust plot extent in R.

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: 03 Sep 2019

Plot Grid of Spatial Plots in R.

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: 03 Sep 2019