In this post we will see example of plotting multiple histograms on the same plot using Matplotlib in Python. Let us first load Matplotlib and numpy to make overlapping histograms with Matplotlib in Python. We will simulate data using NumPy's random module. First we … [Read more...] about Overlapping Histograms with Matplotlib in Python
Histogram
How To Make Histograms with Matplotlib in Python?
In this post, we will see an example of how to make histogram with Matplotlib library in Python. Matplotlib's pyplot module is designed to make a number of types of plots with Matplotlib. We will use pyplot module's function hist() to make histograms with matplotlib. Let us … [Read more...] about How To Make Histograms with Matplotlib in Python?
5 tips to make better histograms with ggplot2 in R
Histograms are of great use to visualize a uni-variate distribution. As ggplot2 defines, histograms "Visualise the distribution of a single continuous variable by dividing the x axis into bins and counting the number of observations in each bin." ggplot2's geom_histogram() … [Read more...] about 5 tips to make better histograms with ggplot2 in R
How to Add Outline/Edge Color to Histogram in Seaborn?
In this tutorial, we will see an example of adding edge color/edge line to histograms made with Seaborn. Let us load the packages needed to make histogram with outlines using Seaborn. We will use Seattle weather data from vega_datasets to make histograms. Let us … [Read more...] about How to Add Outline/Edge Color to Histogram in Seaborn?
Histograms with Seaborn in Python
Histograms are a type of barchart, that visualizes how a quantitative variable is distributed. With the right histogram we can quickly learn about the variable. For example, we can learn what is the most common value, what is the minimum and maximum and what is the spread of the … [Read more...] about Histograms with Seaborn in Python