Matplot explanation

1. MatPlotLib
Prerequiste:-
Python
To install Matplotlib we use pip install matplotlib
Import numpy as np
Import matplotlib.pyplot as plt
https://matplotlib.org/
https://vegibit.com/matplotlib-in-jupyter-notebook/
https://www.youtube.com/watch?v=OZOOLe2imFo

2. NumPy and Pandas
 NumPy can be used to perform a wide variety of mathematical operations
on arrays. It adds powerful data structures to Python that guarantee
efficient calculations with arrays and matrices and it supplies an enormous
library of high-level mathematical functions that operate on these arrays
and matrices.
 What is Pandas? Pandas is a Python library used for working with data sets.
It has functions for analyzing, cleaning, exploring, and manipulating data.
The name "Pandas" has a reference to both "Panel Data", and "Python Data
Analysis" and was created by Wes McKinney in 2008.

3. Plots
 Line Plot(default)
 Scatter Plot
 Bar Plot
 Histogram
 Pie Chart
 Box Plot

4. Line Plot
 For This let us take an example of stock prices to understand it better
 to plot the graph we use plt.plot(xdata,ydata,c=‘’,lw=‘’,linestyle=‘’)
 To display the plot we use plt.show()
 C is used to change color of the line
 Lw is used to set line width
 Linestyle is used to set style of aline for example dotted line
 ,”r—”

5. Scatter Plot
 Plt.scatter(xdata,ydata,c=‘’, marker=‘’,s=‘’)
 C is used for colour
 We can use color name or hexacode to specify the colur
 Marker is used to represent how the dots are represented in the graph
 For example marker=‘*’ will put stars as the dots instead of points
 S=‘’ is used to specify the size of points
 For more parameter please visit matplotlib official website and go through
the documentation

6. Bar Plot
 Plt.bar(xdata,ydata,color=‘’,align=‘edge’,width=‘’,edgecolor=‘’,lw=‘’)

7. Histogram
 Plt.hist(data,bins=,cumulative=‘true’)
 We can set no. of bins
 Or specify various bins
 Cumalative generates a cumulative graphs

8. Pie Chart
 Lets us take the example of the various programming language people
prefer
 Plt.pie(data ,label=‘’ explode=‘’ autopct=“%.2f%%
”,pctdistance=‘’,startangle=)
 Explodes need to be another set of array
 Ex explodes=[0,0.3,0.2….]

9. Box Plot
 Example to understand box plot is heights of n no of people
 Heights=np.random.normal(172,8,300)
 Plt.boxplot(heights)
 Plt.show()

10. Plot Customization
 Example income through various years
 Plt.plot(xdata,ydata)
 Plt.title(“Income of john(in RS)”)#generates title of the plot
 Plt.xlabel(“year”)#generates x axis title
 Plt.ylabel(“yearly income in usd”)
 plt.show
 We can also set fontsize= fontname=“” for all the above functions

11. Plot customization
 Plt,legend()
 Location Parameter loc=“lower right”…..

12. Plot Styles
 From matplotlib import style
 https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.ht
ml

13. Sub Plots
 Multiple Plots in an single image

15. Exporting Plots
 Plt.savefig(“name.png”)
 Transperancy,dpi etc are few parameters

16. 3D Graph

17. Animating Graphs