Skip to content
Related Articles

Related Articles

How to Create time related line chart in Pygal?
  • Last Updated : 10 Jul, 2020

Pygal is a Python module that is mainly used to build SVG (Scalar Vector Graphics) graphs and charts. SVG is a vector-based graphics in the XML format that can be edited in any editor. Pygal can create graphs with minimal lines of code that can be easy to understand and write.

Time related chart

Time-related charts can be plotted using the line charts. A line chart or line graph is a type of chart which helps to displays the information as a series of all data points called ‘markers’ and those markers are connected straight through line segments. To plot time-related we have to format the labels. Look at the below examples for better understanding.

Example 1:




# importing pygal
import pygal
from datetime import datetime
import numpy
  
  
# creating line chart object
line_chart = pygal.Line()
  
# naming the title
line_chart.title = 'Time Related chart'
  
# Formatting labels
line_chart.x_labels = map(lambda d: d.strftime('% Y-% m-% d'),
                          [datetime(2020, 1, 10),
                          datetime(2020, 4, 5),
                          datetime(2020, 2, 25),
                          datetime(2020, 8, 12),
                          datetime(2020, 5, 2)])
  
# adding lines
line_chart.add('A', numpy.random.rand(5))
                            
line_chart

Output:



Example 2:




# importing pygal
import pygal
from datetime import datetime
import numpy
  
  
# creating line chart object
line_chart = pygal.StackedLine(fill ="True")
  
# naming the title
line_chart.title = 'Time Related chart'
  
# Formatting labels
line_chart.x_labels = map(lambda d: d.strftime('% Y-% m-% d'),
                          [datetime(2020, 1, 10),
                          datetime(2020, 4, 5),
                          datetime(2020, 2, 25),
                          datetime(2020, 8, 12),
                          datetime(2020, 5, 2)])
  
# adding lines
line_chart.add('A', numpy.random.rand(5))
                            
line_chart

Output:

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up
Recommended Articles
Page :