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www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Agenda
➢ Why Data Visualization?
➢ What Is Data Visualization?
➢ What Is Matplotlib?
➢ Types Of Plots
➢ Getting Started
Most read
9
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
What is Matplolib?
Matplotlib is a Python package used for 2D graphics
Most read
11
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Types of Plots
Bar graph Histograms Scatter Plot
Pie Plot Hexagonal Bin Plot Area Plot
Most read
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Python Matplotlib
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Agenda
➢ Why Data Visualization?
➢ What Is Data Visualization?
➢ What Is Matplotlib?
➢ Types Of Plots
➢ Getting Started
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Why Data Visualization?
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Why Data Visualization?
Human brain can process information easily when it is in pictorial or graphical form
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Why Data Visualization?
Data visualization allows us to quickly interpret the data and adjust different variables to see their effect
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
What Is Data Visualization?
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
What Is Data Visualization?
Data visualization is the presentation of data in a pictorial or graphical format.
Visualize
Analyse
Document
Insight
Transform
Data set
Finding
Insights In
Data
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
What Is Matplotlib?
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
What is Matplolib?
Matplotlib is a Python package used for 2D graphics
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Types Of Plots
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Types of Plots
Bar graph Histograms Scatter Plot
Pie Plot Hexagonal Bin Plot Area Plot
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Getting Started
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Getting Started
Here's some basic code to generate one of the most simple graph.
from matplotlib import pyplot as plt
#Plotting to our canvas
plt.plot([1,2,3],[4,5,1])
#Showing what we plotted
plt.show()
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Getting Started
Lets add title and labels to our graph
from matplotlib import pyplot as plt
x = [5,8,10]
y = [12,16,6]
plt.plot(x,y)
plt.title('Info')
plt.ylabel('Y axis')
plt.xlabel('X axis')
plt.show()
Title
Labels
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Adding Style To Our Graph
from matplotlib import pyplot as plt
from matplotlib import style
style.use('ggplot')
x = [5,8,10]
y = [12,16,6]
x2 = [6,9,11]
y2 = [6,15,7]
plt.plot(x,y,'g',label='line one', linewidth=5)
plt.plot(x2,y2,'c',label='line two',linewidth=5)
plt.title('Epic Info')
plt.ylabel('Y axis')
plt.xlabel('X axis')
plt.legend()
plt.grid(True,color='k')
plt.show()
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Bar Graph
import matplotlib.pyplot as plt
plt.bar([1,3,5,7,9],[5,2,7,8,2], label="Example one")
plt.bar([2,4,6,8,10],[8,6,2,5,6], label="Example two", color='g')
plt.legend()
plt.xlabel('bar number')
plt.ylabel('bar height')
plt.title('Info')
plt.show()
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Histogram
import matplotlib.pyplot as plt
population_ages =
[22,55,62,45,21,22,34,42,42,4,99,102,110,120,121,122,130,111,115,112,80,75,6
5,54,44,43,42,48]
bins = [0,10,20,30,40,50,60,70,80,90,100,110,120,130]
plt.hist(population_ages, bins, histtype='bar', rwidth=0.8)
plt.xlabel('x')
plt.ylabel('y')
plt.title('Histogram')
plt.legend()
plt.show()
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Scatter Plot
import matplotlib.pyplot as plt
x = [1,2,3,4,5,6,7,8]
y = [5,2,4,2,1,4,5,2]
plt.scatter(x,y, label='skitscat', color='k)
plt.xlabel('x')
plt.ylabel('y')
plt.title('Scatter Plot')
plt.legend()
plt.show()
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Stack Plot
import matplotlib.pyplot as plt
days = [1,2,3,4,5]
sleeping = [7,8,6,11,7]
eating = [2,3,4,3,2]
working = [7,8,7,2,2]
playing = [8,5,7,8,13]
plt.plot([],[],color='m', label='Sleeping', linewidth=5)
plt.plot([],[],color='c', label='Eating', linewidth=5)
plt.plot([],[],color='r', label='Working', linewidth=5)
plt.plot([],[],color='k', label='Playing', linewidth=5)
plt.stackplot(days, sleeping,eating,working,playing, colors=['m','c','r','k'])
plt.xlabel('x')
plt.ylabel('y')
plt.title('Stck Plot')
plt.legend()
plt.show()
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Pie Chart
import matplotlib.pyplot as plt
slices = [7,2,2,13]
activities = ['sleeping','eating','working','playing']
cols = ['c','m','r','b']
plt.pie(slices,
labels=activities,
colors=cols,
startangle=90,
shadow= True,
explode=(0,0.1,0,0),
autopct='%1.1f%%')
plt.title('Pie Plot')
plt.show()
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Working With Multiple Plots
import numpy as np
import matplotlib.pyplot as plt
def f(t):
return np.exp(-t) * np.cos(2*np.pi*t)
t1 = np.arange(0.0, 5.0, 0.1)
t2 = np.arange(0.0, 5.0, 0.02)
plt.subplot(211)
plt.plot(t1, f(t1), 'bo', t2, f(t2))
plt.subplot(212)
plt.plot(t2, np.cos(2*np.pi*t2))
plt.show()
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Session In A Minute
Why Data Visualization? What Is Data Visualization?
Types Of Plots Getting Started
What Is Matplotlib?
Working With Multiple Plots
www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
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