Learn Python In 3 Days: Step by Step Guide for Beginners to Advanced by GIBSON DARRIL

Author:GIBSON, DARRIL [GIBSON, DARRIL]
Language: eng
Format: epub
Publisher: UNKNOWN
Published: 2020-06-28T16:00:00+00:00

The program used to generate the above figure is given below: In this case the only line of code to change from the previous example is:

The chart is constructed such that the lengths of the different bars are proportional to the size of the category they represent. The x-axis represents the different categories and so has

no scale. In order to emphasise the fact that the categories are discrete, a gap is left between the bars on the x-axis. The y-axis does have a scale and this indicates the units of measurement.

6.6.1 Hori]ontal Bar Charts

Bar charts are normally drawn so that the bars are vertical which means that the taller the bar, the larger the category. However, it is also possible to draw bar charts so that the bars are horizontal which means that the longer the bar, the larger the category. This is a particularly effective way of presenting a large number of different categories when there is insufficient space to fit all the columns required for a vertical bar chart across the page.

In Matplotlib the pyplot.barh() function can be used to generate a horizontal bar chart:

pyplot.barh(x_values, sizes, tick_label = labels)

6.6.2 Coloured Bars

It is also common to colour different bars in the chart in different colours or using different shades. This can help to distinguish one bar from another. An example is given below:

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.