Data Visualization with Python Week 1

Artist Layer main objects

Composed of one main object-Artist

FigureCanvas

Defines and encompasses the area onto which the figure is drawn

Composite Artist object

Examples are Axis, Tick, Axes, and Figure

Primitive Artist object

Examples are Line2D, Rectangle, Circle, and Text

The three built-in interface classes of the Backend Layer

FigureCanvas, Renderer, Event

Event

Handles user inputs such as keystrokes and mouse clicks

Renderer

Knows how to draw on the FigureCanvas

Types of Artist objects

Primitive Composite

Matplotlib Architecture

Scripting Layer (pyplot) Artist Layer (Artist) Backend Layer (FigureCanvas, Renderer, Event)

Examples that correspond to individual Artist instances

Title, lines, tick labels, and images

Use the artist layer to create a stacked area plot of the data in the pandas dataframe, area_df.

ax = area_df.plot(kind='area', figsize=(20, 10)) ax.set_title('Plot Title') ax.set_ylabel('Vertical Axis Label') ax.set_xlabel('Horizontal Axis Label')

Create a histogram of a pandas series, series_data, and align the bin edges with the horizontal tick marks.

count, bin_edges = np.histogram(series_data) series_data.plot(kind='hist', xticks = bin_edges)

Create a stacked area plot of the data in the pandas dataframe, area_df, with a transparency value of 0.35

import matplotlib.pyplot as plt transparency = 0.35 area_df.plot(kind='area', alpha=transparency, figsize=(20, 10)) plt.title('Plot Title') plt.ylabel('Vertical Axis Label') plt.xlabel('Horizontal Axis Label') plt.show()

Code to use Event

matplotlib.backend_bases.Event

Code to use FigureCanvas

matplotlib.backend_bases.FigureCanvas

Code to use Renderer

matplotlib.backend_bases.Renderer

Given a pandas dataframe, question, create a horizontal bar chart of the data in question

question.plot(kind='barh')

By default area plots are

stacked