Let's improve the last chart with some information!

To improve the 'readability' of this plot, we can set the **labels on the axis**, set **the title** for the chart, and add a **label to the colormap legend**. All the things but the last one can be done within the `.set` function applied to the `Axes` object. Within the `.set()` function we can pass `xlabel`, `ylabel` and `title` to set labels for the x-axis, y-axis, and title for an entire plot respectively. To add the title for colormap legend, we first need to assign `.colorbar()` to some variable. Then, we need to call `Axes` object (usually `ax`) and call `.set_xlabel()` (or `.set_ylabel()` for vertical text) function passing the required label as an argument.

# Import the libraries
import numpy as np
import matplotlib.pyplot as plt

# Reading the data
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/ed80401e-2684-4bc4-a077-99d13a386ac7/gapminder2017.csv', index_col = 0)

# Create Figure and Axes objects
fig, ax = plt.subplots()

# Initialize a scatter plot and colorbar
cax = ax.scatter(data['gdp per capita'], data['internet users'], c = data['life exp'], cmap = 'cividis')

# Add information on chart
ax.set(xlabel = 'GDP per capita, $', ylabel = 'Share of population with Internet access, %', 
      title = 'GDP per capita, Internet availability and Life expectancy')


# Add colormap and its legend
cbar = fig.colorbar(cax)
cbar.ax.set_xlabel('Life expectancy')

# Display the plot
plt.show()

In this section, we will be introduced to the very basics of matplotlib - creating empty Figure and Axes, how to build a line plot, display multiple lines on one plot, add a legend, customize line type, and so on...

In this section, we will learn about other chart types, such as bar plots, histograms, box plots, how to set necessary parameters and customize them.

In this section, we will learn the scatter plots - one of the easiest ways to discover the relationships in your data.

Visualization in Python with matplotlib

Making Chart Informative