Mastering Matplotlib Offset Copy

Introduction

In this lab, we will learn how to use transforms.offset_copy to position a drawing element, such as a text string, at a specified offset in screen coordinates relative to a location given in any coordinates. We will use the Matplotlib library in Python to create a scatter plot and a polar plot, and then add text to each plot using offset_copy.

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Skills Graph

%%%%{init: {'theme':'neutral'}}%%%% flowchart RL python(("`Python`")) -.-> python/BasicConceptsGroup(["`Basic Concepts`"]) matplotlib(("`Matplotlib`")) -.-> matplotlib/BasicConceptsGroup(["`Basic Concepts`"]) matplotlib(("`Matplotlib`")) -.-> matplotlib/PlottingDataGroup(["`Plotting Data`"]) matplotlib(("`Matplotlib`")) -.-> matplotlib/AdvancedPlottingGroup(["`Advanced Plotting`"]) python(("`Python`")) -.-> python/ControlFlowGroup(["`Control Flow`"]) python(("`Python`")) -.-> python/DataStructuresGroup(["`Data Structures`"]) python(("`Python`")) -.-> python/ModulesandPackagesGroup(["`Modules and Packages`"]) python(("`Python`")) -.-> python/DataScienceandMachineLearningGroup(["`Data Science and Machine Learning`"]) python(("`Python`")) -.-> python/FunctionsGroup(["`Functions`"]) python/BasicConceptsGroup -.-> python/comments("`Comments`") matplotlib/BasicConceptsGroup -.-> matplotlib/importing_matplotlib("`Importing Matplotlib`") matplotlib/BasicConceptsGroup -.-> matplotlib/figures_axes("`Understanding Figures and Axes`") matplotlib/PlottingDataGroup -.-> matplotlib/line_plots("`Line Plots`") matplotlib/AdvancedPlottingGroup -.-> matplotlib/subplots("`Subplots`") matplotlib/AdvancedPlottingGroup -.-> matplotlib/polar_charts("`Polar Charts`") python/BasicConceptsGroup -.-> python/variables_data_types("`Variables and Data Types`") python/BasicConceptsGroup -.-> python/numeric_types("`Numeric Types`") python/BasicConceptsGroup -.-> python/type_conversion("`Type Conversion`") python/ControlFlowGroup -.-> python/for_loops("`For Loops`") python/DataStructuresGroup -.-> python/tuples("`Tuples`") python/ModulesandPackagesGroup -.-> python/importing_modules("`Importing Modules`") python/DataScienceandMachineLearningGroup -.-> python/numerical_computing("`Numerical Computing`") python/DataScienceandMachineLearningGroup -.-> python/data_visualization("`Data Visualization`") python/FunctionsGroup -.-> python/build_in_functions("`Build-in Functions`") subgraph Lab Skills python/comments -.-> lab-49001{{"`Matplotlib Offset Copy`"}} matplotlib/importing_matplotlib -.-> lab-49001{{"`Matplotlib Offset Copy`"}} matplotlib/figures_axes -.-> lab-49001{{"`Matplotlib Offset Copy`"}} matplotlib/line_plots -.-> lab-49001{{"`Matplotlib Offset Copy`"}} matplotlib/subplots -.-> lab-49001{{"`Matplotlib Offset Copy`"}} matplotlib/polar_charts -.-> lab-49001{{"`Matplotlib Offset Copy`"}} python/variables_data_types -.-> lab-49001{{"`Matplotlib Offset Copy`"}} python/numeric_types -.-> lab-49001{{"`Matplotlib Offset Copy`"}} python/type_conversion -.-> lab-49001{{"`Matplotlib Offset Copy`"}} python/for_loops -.-> lab-49001{{"`Matplotlib Offset Copy`"}} python/tuples -.-> lab-49001{{"`Matplotlib Offset Copy`"}} python/importing_modules -.-> lab-49001{{"`Matplotlib Offset Copy`"}} python/numerical_computing -.-> lab-49001{{"`Matplotlib Offset Copy`"}} python/data_visualization -.-> lab-49001{{"`Matplotlib Offset Copy`"}} python/build_in_functions -.-> lab-49001{{"`Matplotlib Offset Copy`"}} end

Import Libraries

We will start by importing the necessary libraries: numpy and matplotlib.pyplot.

import numpy as np
import matplotlib.pyplot as plt

Create Data

Next, we will create some data to use in our plots. We will use numpy to create two arrays, xs and ys, that we will use as the x and y coordinates for our scatter plot.

xs = np.arange(7)
ys = xs**2

Create a Scatter Plot

We will now create a scatter plot using the plot function from matplotlib.pyplot.

fig = plt.figure(figsize=(5, 10))
ax = plt.subplot(2, 1, 1)

## Plot the data
for x, y in zip(xs, ys):
    plt.plot(x, y, 'ro')

Add Text to the Scatter Plot

Now we will add text to our scatter plot using offset_copy. We will first create a transform that positions the text at a specified offset in screen coordinates relative to a location given in any coordinates. Then, we will use the text function from matplotlib.pyplot to add the text to the plot.

## Create the transform
trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,
                                       x=0.05, y=0.10, units='inches')

## Add text to the plot
for x, y in zip(xs, ys):
    plt.text(x, y, '%d, %d' % (int(x), int(y)), transform=trans_offset)

Create a Polar Plot

We will now create a polar plot using the polar function from matplotlib.pyplot.

ax = plt.subplot(2, 1, 2, projection='polar')

## Plot the data
for x, y in zip(xs, ys):
    plt.polar(x, y, 'ro')

Add Text to the Polar Plot

Finally, we will add text to our polar plot using offset_copy and the text function from matplotlib.pyplot.

## Create the transform
trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,
                                       y=6, units='dots')

## Add text to the plot
for x, y in zip(xs, ys):
    plt.text(x, y, '%d, %d' % (int(x), int(y)),
             transform=trans_offset,
             horizontalalignment='center',
             verticalalignment='bottom')

Summary

In this lab, we learned how to use transforms.offset_copy to position a drawing element at a specified offset in screen coordinates relative to a location given in any coordinates. We used this function to add text to a scatter plot and a polar plot created using the matplotlib.pyplot library in Python.

Matplotlib Offset Copy