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![Line plot
• Some basic code to plot simple graph.
• Co-ordinates:(1,4)(2,5)(3,1)
import matplotlib.pyplot as plt
plt.plot([1,2,3],[4,5,1])
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-8-2048.jpg)
![Line plot Cont…
• Lets add label to the graph:
import matplotlib.pyplot as plt
x=[1,2,3]
y=[4,5,1]
plt.plot(x , y)
plt.title("Info")
plt.xlabel("x-axis")
plt.ylabel("y-axis")
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-9-2048.jpg)
![Line Plot cont…
import matplotlib.pyplot as plt
x1=[1,2,3]
y1=[4,5,1]
x2=[5,8,10]
y2=[12,16,6]
plt.plot(x1,y1,color='g', label='line one', linewidth=6)
plt.plot(x2,y2,color='b', label='line two', linewidth=6)
plt.title("Info")
plt.xlabel("x-axis")
plt.ylabel("y-axis")
plt.legend()
plt.grid(True, color='k')
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-10-2048.jpg)
![Bar chart
import matplotlib.pyplot as plt
plt.bar([1,2,3],[4,5,1],label='example one')
plt.bar([4,5,7],[6,8,9],label="example two",
color='g')
plt.legend()
plt.title("info")
plt.xlabel("x-axis")
plt.ylabel("y-axis")
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-16-2048.jpg)
![Bar chart cont…
Q)Create Bar chart for following data:
Languages known = [c++,c,java,python,php]
No. of students=[26,25,34,54,23]](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-17-2048.jpg)
![Bar chart cont…
from matplotlib import pyplot as plt
import numpy as np
no_of_students=[22,34,54,34,45]
lang_known=['c','c++','java', 'python', 'php']
plt.bar(lang_known, no_of_students)
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-18-2048.jpg)
![from matplotlib import pyplot as plt Example
import numpy as np
no_of_students=[22,34,54,34,45]
lang_known=['c', 'c++','java', 'python', 'php']
plt.bar(lang_known, no_of_students)
plt.minorticks_on()
plt.grid(which='major', linestyle='-', linewidth='0.5', color='red')
# Customize the minor grid
plt.grid(which='minor', linestyle=':', linewidth='0.5', color='black')
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-19-2048.jpg)
![Example
import numpy as np
import matplotlib.pyplot as plt
data = [30, 25, 50, 20],
[39, 23, 51.5, 17],
[34.8, 21.8, 45, 19]]
X = np.arange(4)
plt.bar(X + 0.00, data[0], color = 'b', width = 0.25,label='raisoni college')
plt.bar(X + 0.25, data[1], color = 'g', width = 0.25,label='JSPM')
plt.bar(X + 0.50, data[2], color = 'r', width = 0.25,label='DPCOE')
plt.legend()
plt.xticks(X,('2015','2016','2017','2018'))
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-20-2048.jpg)
![Assignment
• stud_marks=[45,56,32,67,56,76,34,28,67,70,59,61,
34,42,76,54,52,47]
• bins=[0,25,50,75,100]
• Find the students makes in range 0-24,25-49,50-
74,75-100
• Solution: 0-24: 0
25-49:7
50-74:9
75-100:2](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-22-2048.jpg)
![Solution
import matplotlib.pyplot as plt
stud_marks=[45,56,32,67,56,76,34,28,67,70,59,61,34,42,76,54,52,47]
bins=[0,25,50,75,100]
plt.hist(stud_marks, bins, histtype='bar', rwidth=0.8)
plt.title("Info")
plt.xlabel("x-axis")
plt.ylabel("y-axis")
plt.xticks([0,25,50,75,100])
plt.legend()
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-23-2048.jpg)
![Histogram Example
Q)Draw histogram for following data:
[3,5,8,11,13,2,19,23,22,25,3,10,21,14,9,12,17,
22,23,14]
• Use range as 1-8,9-16,17-25
• plot histogram type as ‘stepfilled’.](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-25-2048.jpg)
![Pie chart example
from matplotlib import pyplot as plt
import numpy as np
langs = ['C', 'C++', 'Java', 'Python', 'PHP']
students = [23,17,35,29,12]
plt.pie(students, labels = langs,autopct='%1.2f%%')
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-27-2048.jpg)
![Example
from matplotlib import pyplot as plt
import numpy as np
langs = ['C', 'C++', 'Java', 'Python', 'PHP']
students = [23,17,35,29,12]
cols=['b' ,'r', 'm', 'y', 'g']
plt.pie(students, labels = langs, colors=cols, autopct='%1.2f%
%',shadow=True ,explode=(0,0.1,0,0,0))
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-28-2048.jpg)
![Scatter Plot
• Scatter plot plots data on vertical & horizontal
axis as per its values.
import matplotlib.pyplot as plt
x=[1,2,3]
y=[4,5,1]
plt.scatter(x, y)
plt.title("Info")
plt.xlabel("x-axis")
plt.ylabel("y-axis")
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-30-2048.jpg)
![Example
import matplotlib.pyplot as plt
girls_grades = [89, 90, 70, 89, 100, 80, 90, 100, 80, 34]
boys_grades = [30, 29, 49, 48, 100, 48, 38, 45, 20, 30]
grades_range = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
plt.scatter(grades_range, girls_grades, color='r',label='girls grade',linewidths=3)
plt.scatter(grades_range, boys_grades, color='b',label='boys grade',linewidths=3)
plt.xlabel('Grades Range')
plt.ylabel('Grades Scored')
plt.title('scatter plot',color='r',loc='left')
plt.legend()
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-31-2048.jpg)
![Assignment
• Write a Python program to draw a scatter plot
comparing two subject marks of Mathematics and
Science. Use marks of 10 students.
• Test Data:
math_marks = [88, 92, 80, 89, 100, 80, 60, 100, 80,
34]
science_marks = [35, 79, 79, 48, 100, 88, 32, 45, 20,
30]
marks_range = [10, 20, 30, 40, 50, 60, 70, 80, 90,
100]](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-32-2048.jpg)
![Stack plots
• Stackplots are formed by plotting different
datasets vertically on top of one another
rather than overlapping with one another.
import numpy as np
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5]
y1 = [1, 1, 2, 3, 5]
y2 = [0, 4, 2, 6, 8]
y3 = [1, 3, 5, 7, 9]
labels = ["Fibonacci ", "Evens", "Odds"]
plt.stackplot(x, y1, y2, y3, labels=labels)
plt.legend(loc='upper left')
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-33-2048.jpg)
![Example
import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0.0, 20.0, 1)
s = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]
plt.subplot(2,1,1)
plt.title('subplot(2,1,1)')
plt.plot(t,s)
plt.subplot(2,1,2)
plt.title('subplot(2,1,2)')
plt.plot(t,s,'r-')
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-35-2048.jpg)
![Example
import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0.0, 20.0, 1)
s = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]
plt.subplot(2,2,1)
plt.title('subplot(2,2,1)')
plt.plot(t,s,'k')
plt.subplot(2,2,2)
plt.title('subplot(2,2,2)')
plt.plot(t,s,'r')
plt.subplot(2,2,3)
plt.title('subplot(2,2,3)')
plt.plot(t,s,'g')
plt.subplot(2,2,4)
plt.title('subplot(2,2,4)')
plt.plot(t,s,'y')
plt.show()](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-36-2048.jpg)
![References
[1] https://www.geeksforgeeks.org/python-
introduction-matplotlib/
[2]https://matplotlib.org
[3]https://www.tutorialspoint.com/matplotlib/
index.htm](https://image.slidesharecdn.com/usingmatplotlib-241007093526-8827f426/75/Python-chart-plotting-using-Matplotlib-pptx-38-2048.jpg)
More Related Content
Similar to Python chart plotting using Matplotlib.pptx
Python chart plotting using Matplotlib.pptx
- 1. Using Matplotlib Ms. SonaliMahendra Sonavane G. H. Raisoni Institute of Engineering & Technology, Pune
- 2. Contents • Why DataVisualization? • What is Data Visualization? • What is matplotlib? • Types of charts • Basic of matplotlib • Bar chart • Histogram • Pie chart • Scatter chart • Stack plot • Subplot • References
- 3. Need of DataVisualization • Humans can remember/understand things easily when it is in picture form.
- 4. Cont… • Data visualizationhelps us to rapidly understand the data and alter different variables as per our requirement.
- 5. What is DataVisualization? • Data visualization is the graphical representation of information & data. • Common ways of Data Visualization are: – Tables – Charts – Graphs – Maps
- 6. What is matplotlib? •Matplotlib is widely used Python library for data visualization. • It is a library for generating 2 Dimensional plots from data in arrays. • It was invented by John Hunter in the year 2002. • Matplotlib has many plots like pie chart, line, bar chart, scatter plot, histogram, area plot etc. • Matplotlib is inscribed in Python and uses NumPy library, the numerical mathematics extension of Python.
- 7. Types of Plot LinePlot Stack Plot Scatter plot Pie Chart Histogram Bar Chart
- 8. Line plot • Somebasic code to plot simple graph. • Co-ordinates:(1,4)(2,5)(3,1) import matplotlib.pyplot as plt plt.plot([1,2,3],[4,5,1]) plt.show()
- 9. Line plot Cont… •Lets add label to the graph: import matplotlib.pyplot as plt x=[1,2,3] y=[4,5,1] plt.plot(x , y) plt.title("Info") plt.xlabel("x-axis") plt.ylabel("y-axis") plt.show()
- 10. Line Plot cont… importmatplotlib.pyplot as plt x1=[1,2,3] y1=[4,5,1] x2=[5,8,10] y2=[12,16,6] plt.plot(x1,y1,color='g', label='line one', linewidth=6) plt.plot(x2,y2,color='b', label='line two', linewidth=6) plt.title("Info") plt.xlabel("x-axis") plt.ylabel("y-axis") plt.legend() plt.grid(True, color='k') plt.show()
- 11.
- 12. Line plot featuresCont… • fontsize • fontstyle: normal,italic,oblique • fontweight: normal,bold,heavy,light,ultrabold,ultralight • backgroundcolor: any color • rotation: any angle
- 13. Example import matplotlib.pyplot asplt from pylab import * x =linspace(-3, 3, 30) y = x**2 plt.plot(x, y) plt.show()
- 14. Example import matplotlib.pyplot asplt from pylab import * x =linspace(-3, 3, 30) y = sin(x) plt.plot(x, y,"g.") plt.show()
- 15. Example import matplotlib.pyplot asplt from pylab import * x =linspace(-3, 3, 30) plt.plot(x, sin(x)) plt.plot(x, cos(x), 'r-') plt.plot(x, -sin(x), 'g--') plt.show()
- 16. Bar chart import matplotlib.pyplotas plt plt.bar([1,2,3],[4,5,1],label='example one') plt.bar([4,5,7],[6,8,9],label="example two", color='g') plt.legend() plt.title("info") plt.xlabel("x-axis") plt.ylabel("y-axis") plt.show()
- 17. Bar chart cont… Q)CreateBar chart for following data: Languages known = [c++,c,java,python,php] No. of students=[26,25,34,54,23]
- 18. Bar chart cont… frommatplotlib import pyplot as plt import numpy as np no_of_students=[22,34,54,34,45] lang_known=['c','c++','java', 'python', 'php'] plt.bar(lang_known, no_of_students) plt.show()
- 19. from matplotlib importpyplot as plt Example import numpy as np no_of_students=[22,34,54,34,45] lang_known=['c', 'c++','java', 'python', 'php'] plt.bar(lang_known, no_of_students) plt.minorticks_on() plt.grid(which='major', linestyle='-', linewidth='0.5', color='red') # Customize the minor grid plt.grid(which='minor', linestyle=':', linewidth='0.5', color='black') plt.show()
- 20. Example import numpy asnp import matplotlib.pyplot as plt data = [30, 25, 50, 20], [39, 23, 51.5, 17], [34.8, 21.8, 45, 19]] X = np.arange(4) plt.bar(X + 0.00, data[0], color = 'b', width = 0.25,label='raisoni college') plt.bar(X + 0.25, data[1], color = 'g', width = 0.25,label='JSPM') plt.bar(X + 0.50, data[2], color = 'r', width = 0.25,label='DPCOE') plt.legend() plt.xticks(X,('2015','2016','2017','2018')) plt.show()
- 21. Histogram • A histogramis an correct illustration of the distribution of numeric data • To create a histogram, use following steps: Bin is collection of values. Distribute the entire values into a chain of intervals. Sum how many values are in each interval.
- 22. Assignment • stud_marks=[45,56,32,67,56,76,34,28,67,70,59,61, 34,42,76,54,52,47] • bins=[0,25,50,75,100] •Find the students makes in range 0-24,25-49,50- 74,75-100 • Solution: 0-24: 0 25-49:7 50-74:9 75-100:2
- 23. Solution import matplotlib.pyplot asplt stud_marks=[45,56,32,67,56,76,34,28,67,70,59,61,34,42,76,54,52,47] bins=[0,25,50,75,100] plt.hist(stud_marks, bins, histtype='bar', rwidth=0.8) plt.title("Info") plt.xlabel("x-axis") plt.ylabel("y-axis") plt.xticks([0,25,50,75,100]) plt.legend() plt.show()
- 24. Histogram • Histogram types –‘bar’ is a customary bar chart type histogram. In this several data are arranged as bars side by side. – ‘barstacked’ is another bar-type histogram where numerous data are arranged on top of each other. – ‘step’ makes a lineplot which is not filled. – ‘stepfilled’ produces a lineplot which is filled by default.
- 25. Histogram Example Q)Draw histogramfor following data: [3,5,8,11,13,2,19,23,22,25,3,10,21,14,9,12,17, 22,23,14] • Use range as 1-8,9-16,17-25 • plot histogram type as ‘stepfilled’.
- 26. Pie Chart • APie Chart can show sequence of data. • The information points in a pie chart are displayed as a percentage of the total pie. following are the parameters used for a pie chart : • X: array like, The wedge sizes. • Labels list: A arrangement of strings which provides the tags/name for each slice. • Colors: An order of matplotlibcolorargs through which the pie chart will rotate. If Not any, It uses the the currently active cycle color. • Autopct : It is a string used to name the pie slice with their numeric value. The name is placed inside the pie slice. The format of the name is enclosed in %pct%.
- 27. Pie chart example frommatplotlib import pyplot as plt import numpy as np langs = ['C', 'C++', 'Java', 'Python', 'PHP'] students = [23,17,35,29,12] plt.pie(students, labels = langs,autopct='%1.2f%%') plt.show()
- 28. Example from matplotlib importpyplot as plt import numpy as np langs = ['C', 'C++', 'Java', 'Python', 'PHP'] students = [23,17,35,29,12] cols=['b' ,'r', 'm', 'y', 'g'] plt.pie(students, labels = langs, colors=cols, autopct='%1.2f% %',shadow=True ,explode=(0,0.1,0,0,0)) plt.show()
- 29. Assignment • Write aPython programming to create a pie chart with a title of the popularity of programming Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7and explode java and PHP content. • Also add title as “popularity of programming ”
- 30. Scatter Plot • Scatterplot plots data on vertical & horizontal axis as per its values. import matplotlib.pyplot as plt x=[1,2,3] y=[4,5,1] plt.scatter(x, y) plt.title("Info") plt.xlabel("x-axis") plt.ylabel("y-axis") plt.show()
- 31. Example import matplotlib.pyplot asplt girls_grades = [89, 90, 70, 89, 100, 80, 90, 100, 80, 34] boys_grades = [30, 29, 49, 48, 100, 48, 38, 45, 20, 30] grades_range = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100] plt.scatter(grades_range, girls_grades, color='r',label='girls grade',linewidths=3) plt.scatter(grades_range, boys_grades, color='b',label='boys grade',linewidths=3) plt.xlabel('Grades Range') plt.ylabel('Grades Scored') plt.title('scatter plot',color='r',loc='left') plt.legend() plt.show()
- 32. Assignment • Write aPython program to draw a scatter plot comparing two subject marks of Mathematics and Science. Use marks of 10 students. • Test Data: math_marks = [88, 92, 80, 89, 100, 80, 60, 100, 80, 34] science_marks = [35, 79, 79, 48, 100, 88, 32, 45, 20, 30] marks_range = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
- 33. Stack plots • Stackplotsare formed by plotting different datasets vertically on top of one another rather than overlapping with one another. import numpy as np import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y1 = [1, 1, 2, 3, 5] y2 = [0, 4, 2, 6, 8] y3 = [1, 3, 5, 7, 9] labels = ["Fibonacci ", "Evens", "Odds"] plt.stackplot(x, y1, y2, y3, labels=labels) plt.legend(loc='upper left') plt.show()
- 34. Working with multipleplots • In Matplotlib, subplot() function is used to plot two or more plots in one figure. • Matplotlib supports various types of subplots i.e. 2x1 horizontal ,2x1 vertical, or a 2x2 grid.
- 35. Example import matplotlib.pyplot asplt import numpy as np t = np.arange(0.0, 20.0, 1) s = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20] plt.subplot(2,1,1) plt.title('subplot(2,1,1)') plt.plot(t,s) plt.subplot(2,1,2) plt.title('subplot(2,1,2)') plt.plot(t,s,'r-') plt.show()
- 36. Example import matplotlib.pyplot asplt import numpy as np t = np.arange(0.0, 20.0, 1) s = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20] plt.subplot(2,2,1) plt.title('subplot(2,2,1)') plt.plot(t,s,'k') plt.subplot(2,2,2) plt.title('subplot(2,2,2)') plt.plot(t,s,'r') plt.subplot(2,2,3) plt.title('subplot(2,2,3)') plt.plot(t,s,'g') plt.subplot(2,2,4) plt.title('subplot(2,2,4)') plt.plot(t,s,'y') plt.show()
- 37. Example • Draw subplotfor each sin(x), cos(x),-sin(x) and –cos(x) function • import matplotlib.pyplot as plt from pylab import * x =linspace(-3, 3, 30) plt.plot(x, sin(x)) plt.plot(x, cos(x), 'r-') plt.plot(x, -sin(x), 'g--') Plt.plot(x,-cos(x),’y:’) plt.show()
- 38.
- 39.