Data Visualization Matplotlib
Data Visualization (Matplotlib)
Data Visualization (Matplotlib)
Contents
1. Introduction ................................................................................................................................. 3 2. Python Visualization Tools ......................................................................................................... 4 3. Matplotlib..................................................................................................................................... 4 4. Import Matplotlib ........................................................................................................................ 4 5. Matplotlib ............................................................................................. 5
5.1 Plotting from a script............................................................................................................ 5 5.2 Plotting from an IPython shell ............................................................................................. 5 5.3 Plotting from a Jupyter notebook ....................................................................................... 5 6. Matplotlib Object Hierarchy ....................................................................................................... 5 7. Matplotlib API .............................................................................................................................. 6 8. Pyplot API .................................................................................................................................... 6 8.1 Formatting the style of plot ................................................................................................. 9 8.2 ................................................. 9 9. Object-Oriented API .................................................................................................................. 10 9.1 Objects and Reference.........................................................................................................11 9.2 Figure and Axes ....................................................................................................................11 10. Figure and Subplots ................................................................................................................ 12 12. Multiline Plots .......................................................................................................................... 13 13. Parts of a Plot.......................................................................................................................... 13 14. Saving the Plot ........................................................................................................................ 13 14.1 Supported file formats...................................................................................................... 14 15. Line Plot ................................................................................................................................... 14 16. Scatter Plot .............................................................................................................................. 14 17. Histogram ................................................................................................................................ 15 18. Bar Chart .................................................................................................................................. 16 19. Horizontal Bar Chart ............................................................................................................... 16 20. Error Bar Chart ........................................................................................................................ 16
Matplotlib Page-1
Data Visualization (Matplotlib)
21. Stacked Bar Chart....................................................................................................................17
22. Pie Chart...................................................................................................................................17
23. Boxplot ..................................................................................................................................... 18
24. Area Chart ................................................................................................................................ 18
25. Contour Plot.............................................................................................................................19
26. Styles with Matplotlib Plots .................................................................................................... 19
27. Grid (Adding a grid) ...................................................................................20
28. Handling axes...........................................................................................................................20
29. X Y (Handling X and Y ticks) ................................21
30. X Y (Adding labels).....................................................22
31. (Adding a title) ...................................................................................22
32. Legend ......................................................................................................................23
33. Control Colours ........................................................................................................................24
33.1 Colour abbreviation Colour name ........................................................................................24
34. Control Line Styles...................................................................................................................24
34.1 Style Styles......................................................................................................................... 25
34.2 Marker Styles ..................................................................................................................... 25
Matplotlib Page -2
Data Visualization (Matplotlib)
Data Visualization (Matplotlib)
Matplotlib Python programming language data visualization tool Matplotlib object hierarchy plot customization techniques
1. Introduction
X Y () X X Y Y
Matplot X Y plt.plot(x,y) plt.plot(x,y) plt .plot() x,y () plt matplotlib.pyplot Python package library .plot() function x, y X Y X Y .plot()function plt Python library plt.show() Python .show()
plt.plot(x,y)
import matplotlib.pyplot as plt x = [1,2,3,4,5] y = [2,5,6,9,10] plt.plot(x,y) plt.show()
Data Visualization Data Visualization (numerical data) input chart figure (table) output Data Visualization
Matplotlib Matplotlib Python programming language data visualization tool Python visualization tool Matplotlib
Matplotlib Page-3
Data Visualization (Matplotlib)
2. Python Visualization Tools
Python data scientist language . Python data
visualization Python data visualization
tools
Matplotlib
Seaborn
pandas
Bokeh
Plotly
ggplot
pygal
Data visualization tool Matplotlib
3. Matplotlib
Matplotlib Python programming language plotting library Python visualization package plotting library
Matplotlib like PDF, SVG, JPG, PNG, BMP and GIF format
Line plot, scatter plot, histogram, bar chart, error charts, pie chart, box plot, visualization 3D Matplotlib pandas Seabor Python library Matplotlib access
Matplotlib John Hunter Neurobiology Electrocorticography (ECoG) (visualize ) Python programming language open-source tool Matplotlib data visualization
4. Import Matplotlib
Python data visualization () Matplotlib import Import matplotlib.pyplot Terninal p ip list pip install matplotlib install Requirement already satisfied install import matplotlib
Matplotlib pyplot pyplot import
import matplotlib.pyplot pyplot import as keyword Matplotlib Page -4
import matplotlib.pyplot as plt
Data Visualization (Matplotlib)
import numpy as np import pandas as pd
# #
5. Matplotlib
Matplotlib plt.show() command Matplotlib plot () () command
? plotting from a script, ? plotting from an IPython shell or ? plotting from a Jupyter notebook. 5.1 Plotting from a script Python script Matplotlib plt.show() command Python session plt.show() command plot script
5.2 Plotting from an IPython shell IPython shell Matplotlib zoon (interactively)
IPython %matplotlib magic command Matplotlib mode
5.3 Plotting from a Jupyter notebook Jupyter Notebook ( IPython Notebook )
web brower %matplotlib command () Input output
? %matplotlib notebook ? interactive plot web brower embedded zoon
%matplotlib inline ? static image output static image zoon %matplotlib inline
6. Matplotlib Object Hierarchy Matplotlib Object Hierarchy
Matplotlib Python object (nested) Hierarchy
Matplotlib Page-5
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- basic plotting with python and matplotlib
- getting started with matplotlib
- numpy matplotlib troy p kling
- data visualization matplotlib
- week 4 university of california berkeley
- sage 9 4 reference manual 2d graphics
- scientific plotting with matplotlib sersol
- dna features viewer a sequence annotations formatting and
- audience tutorialspoint
- programming and computational thinking xii 30 marks
Related searches
- data visualization cheat sheet
- data visualization in r
- python data visualization packages
- matplotlib add data labels
- python data visualization modules
- best python data visualization libraries
- data visualization libraries in python
- data visualization in python
- best data visualization python
- python data visualization tool
- python data visualization libraries
- data visualization cheatsheet