Visualizing Any Data

The spiral_frequencies and cloud_frequencies methods utilize the Spiral and Cloud classes, respectively. You can use these classes to plot any data.

As an example, let's use data on the most-spoken first languages from the CIA World Factbook.

In [1]:

data = {'Mandarin Chinese': 12.3, 'Spanish': 6.0, 'English': 5.1, 'Arabic': 5.1, 'Hindi': 3.5, 'Bengali': 3.3, 'Portuguese': 3.0, 'Russian': 2.1, 'Japanese': 1.7, 'Punjabi Western': 1.3, 'Javanese': 1.1}

data = {'Mandarin Chinese': 12.3, 'Spanish': 6.0, 'English': 5.1, 'Arabic': 5.1, 'Hindi': 3.5, 'Bengali': 3.3, 'Portuguese': 3.0, 'Russian': 2.1, 'Japanese': 1.7, 'Punjabi Western': 1.3, 'Javanese': 1.1}

Spiral¶

To create a spiral plot, use the plot method.

In [2]:

from ScanPyImports.plotter import Spiral

spiral=Spiral() 
# Prepare the data 
# = > Sort by ascending order
data = dict(sorted(data.items(), key=lambda item: item[1]))
labels = data.keys()
values = data.values()

fig, ax, bars, texts = spiral.plot(labels,values)

from ScanPyImports.plotter import Spiral spiral=Spiral() # Prepare the data # = > Sort by ascending order data = dict(sorted(data.items(), key=lambda item: item[1])) labels = data.keys() values = data.values() fig, ax, bars, texts = spiral.plot(labels,values)

Cloud¶

To create a cloud plot, use the plot method.

In [3]:

from ScanPyImports.plotter import Cloud 
cloud = Cloud()
fig, ax, wc, im = cloud.plot(data)

from ScanPyImports.plotter import Cloud cloud = Cloud() fig, ax, wc, im = cloud.plot(data)