MATLAB provides a workspace environment for defining, manipulating, and saving variable data. The document discusses MATLAB's workspace, variable types, array indexing and operations, logical indexing, basic math operators, and saving and loading data. Functions like help, whos, pwd, and cd allow users to get help, view variables, and navigate directories from the MATLAB command window.
An other important library to discover: Pandas. It defines two other important structures : Series and Data Frames.
Of course, you will find examples of how to use this library, and all the operations related to its data structures.
[Notebooke](https://colab.research.google.com/drive/1hrOfW62t8iYZhclc378J1i15AyPNu9GD)
1. Introduction to MATLAB and programming
2. Workspace, variables and arrays
3. Using operators, expressions and statements
4. Repeating and decision-making
5. Different methods for input and output
6. Common functions
7. Logical vectors
8. Matrices and string arrays
9. Introduction to graphics
10. Loops
11. Custom functions and M-files
Desk reference for data wrangling, analysis, visualization, and programming in Stata. Co-authored with Tim Essam(@StataRGIS, linkedin.com/in/timessam). See all cheat sheets at http://bit.ly/statacheatsheets. Updated 2016/06/03
Deals with CSV Files operations in Pandas like reading, writing, performing joins and other operations in python using dataframes and Series in Pandas.
An other important library to discover: Pandas. It defines two other important structures : Series and Data Frames.
Of course, you will find examples of how to use this library, and all the operations related to its data structures.
[Notebooke](https://colab.research.google.com/drive/1hrOfW62t8iYZhclc378J1i15AyPNu9GD)
1. Introduction to MATLAB and programming
2. Workspace, variables and arrays
3. Using operators, expressions and statements
4. Repeating and decision-making
5. Different methods for input and output
6. Common functions
7. Logical vectors
8. Matrices and string arrays
9. Introduction to graphics
10. Loops
11. Custom functions and M-files
Desk reference for data wrangling, analysis, visualization, and programming in Stata. Co-authored with Tim Essam(@StataRGIS, linkedin.com/in/timessam). See all cheat sheets at http://bit.ly/statacheatsheets. Updated 2016/06/03
Deals with CSV Files operations in Pandas like reading, writing, performing joins and other operations in python using dataframes and Series in Pandas.
MATLAB stands for Matrix Laboratory. MATLAB was written originally
to provide easy access to matrix software developed by the LINPACK (linear system package) and matlab 2012a manual pdf
MATLAB/SIMULINK for Engineering Applications day 2:Introduction to simulinkreddyprasad reddyvari
3 days Hands on workshop on MATLAB/SIMULINK for Engineering Applications:
this workshop aims to make students to aware of MATLAB to do own projects in engineering life with best available technology E-Simulink Softwares and tools.
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Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
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Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
TOP 10 B TECH COLLEGES IN JAIPUR 2024.pptxnikitacareer3
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KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
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3. Getting help
There are several ways of getting help:
Basic help on named commands/functions is echoed to the command
window by:
>> help command-name
A complete help system containing full text of manuals is started by:
>> helpdesk
4. System Environment
• Windows
– MATLAB installed in c:matlab6.5
– Your code…anywhere convenient (e.g. h:matlab)
• Linux (Environment network)
– MATLAB installed in /apps/matlab
– Your code in /home/username/matlab
– Your environment configuration in ~/.matlab
5. startup.m
• The script $matlab_roottoolboxlocalmatlabrc.m
is always run at startup – it reads system
environment variables etc, and initialises
platform dependent settings. If present it will run
a user defined initialisation script: startup.m
– Linux: /home/user/matlab/startup.m
– Windows: $matlab_roottoolboxlocalstartup.m
• Use startup.m for setting paths, forcing
preferred settings, etc.
6. %-------------------------------------
% Matlab startup file for IMB's laptop
%-------------------------------------
%-- add paths for my m-files --
addpath d:/matlab
addpath d:/matlab/bulk2.5
addpath d:/matlab/bulk2.6
addpath d:/matlab/coastal
addpath d:/matlab/lidar
addpath d:/matlab/ndbc
addpath d:/matlab/page
addpath d:/matlab/sections
addpath d:/matlab/sharem
addpath d:/matlab/wavelet
addpath d:/matlab/LEM
addpath d:/matlab/GPSbook
addpath d:/matlab/FAAM
addpath d:/matlab/FAAM/winds
addpath d:/matlab/faam/bae
%-- add netCDF toolbox --
addpath c:/matlab701/bin
addpath c:/matlab701/bin/win32
addpath d:/matlab/netcdf
addpath d:/matlab/netcdf/ncfiles
addpath d:/matlab/netcdf/nctype
addpath d:/matlab/netcdf/ncutility
%-- add path for generic data --
addpath d:/matlab/coastlines % coastline data
addpath d:/cw96/flight_data/jun02 % raw cw96
addpath d:/cw96/flight_data/jun07 % aircraft data
addpath d:/cw96/flight_data/jun11
addpath d:/cw96/flight_data/jun12
addpath d:/cw96/flight_data/jun17
addpath d:/cw96/flight_data/jun19
addpath d:/cw96/flight_data/jun21
addpath d:/cw96/flight_data/jun23
addpath d:/cw96/flight_data/jun26
addpath d:/cw96/flight_data/jun29
addpath d:/cw96/flight_data/jul01
addpath d:/cw96/runs % run definitions for cw96 flights
%----------------------------------------------------------------------
%-- set default figure options --
set(0,'DefaultFigurePaperType','a4')
% this should be the default in EU anyway
set(0,'DefaultFigurePaperUnits','inches')
% v6 defaults to cm for EU countries
set(0,'DefaultFigureRenderer','painters')
% v7 default OpenGL causes problems
Example startup.m file (for my laptop)
7. • addpath – adds directories to
the search path. MATLAB will
look in ALL directories on the
path for:
– Functions and scripts (.m files)
– MATLAB data files (.mat files)
• It will also look in the current
directory
• The ‘set’ commands in the
example startup.m file set
some default graphics
properties, overriding the
defaults – will cover these
later.
8. The WORKSPACE
• MATLAB maintains an active workspace, any
variables (data) loaded or defined here are
always available.
• Some commands to examine workspace, move
around, etc:
>> who
Your variables are:
x y
who : lists variables in workspace
9. >> whos
Name Size Bytes Class
x 3x1 24 double array
y 3x2 48 double array
Grand total is 9 elements using 72 bytes
whos : lists names and basic properties of variables in the workspace
>> pwd
ans =
D:
>> cd cw96jun02
>> dir
. 30m_wtv.mat edson2km.mat jun02_30m_runs.mat
.. 960602_sst.mat edson_2km_bulk.mat
pwd, cd, dir, ls : similar to operating system (but no option switches)
10. VARIABLES
• Everything (almost) is treated as a double-
precision floating point array by default
– Typed variables (integer, float, char,…) are supported,
but usually used only for specific applications. Not all
operations are supported for all typed variables.
– [IDL uses typed variables, but allows mixing of
types...at least to some extent]
11. >> x=[1 2 3]
x =
1 2 3
>> x=[1,2,3]
x =
1 2 3
>> x=[1
2
3
4];
>> x=[1;2;3;4]
x =
1
2
3
4
When defining variables, a space or
comma separates elements on a
row.
A newline or semicolon forces a
new row; these 2 statements are
equivalent.
NB. you can break definitions across
multiple lines.
12. • 1 & 2D arrays are treated as formal matrices
– Matrix algebra works by default:
>> a=[1 2];
>> b=[3
4];
>> a*b
ans =
11
>> b*a
ans =
3 6
4 8
1x2 row oriented array (vector)
(Trailing semicolon suppresses display of output)
2x1 column oriented array
Result of matrix multiplication depends on
order of terms (non-cummutative)
13. • Element-by-element operation is forced by
preceding operator with ‘.’
>> a=[1 2];
>> b=[3
4];
>> a.*b
??? Error using ==> times
Matrix dimensions must agree. Size and shape must match
14. >> a=[1 2]
A =
1 2
>> b=[3 4];
>> a.*b
ans =
3 8
>> c=a+b
c =
4 6
Matrix addition & subtraction
operate element-by-element
anyway. Dimensions of
matrix must still match!
No trailing semicolon,
immediate display of result
Element-by-element
multiplication
15. >> A = [1:3;4:6;7:9]
A =
1 2 3
4 5 6
7 8 9
>> mean(A)
ans =
4 5 6
>> sum(A)
ans =
12 15 18
Most common functions operate on
columns by default
17. >> A = [1:3;4:6;7:9]
A =
1 2 3
4 5 6
7 8 9
>> A(2,3)
ans =
6
>> A(1:3,2)
ans =
2
5
8
>> A(2,:)
ans =
4 5 6
The colon indicates a range, a:b (a to b)
A colon on its own indicates ALL values
18. THE COLON OPERATOR
• Colon operator occurs in several forms
– To indicate a range (as above)
– To indicate a range with non-unit increment
>> N = 5:10:35
N =
5 15 25 35
>> P = [1:3; 30:-10:10]
P =
1 2 3
30 20 10
19. • To extract ALL the elements of an array (extracts
everything to a single column vector)
>> A = [1:3; 10:10:30;
100:100:300]
A =
1 2 3
10 20 30
100 200 300
>> A(:)
ans =
1
10
100
2
20
200
3
30
300
20. LOGICAL INDEXING
• Instead of indexing arrays directly, a logical
mask can be used – an array of same size, but
consisting of 1s and 0s – usually derived as
result of a logical expression.
>> X = [1:10]
X =
1 2 3 4 5 6 7 8 9 10
>> ii = X>6
ii =
0 0 0 0 0 0 1 1 1 1
>> X(ii)
ans =
7 8 9 10
21. Basic Operators
+, -, *, / : basic numeric operators
: left division (matrix division)
^ : raise to power
’ : transpose (of matrix) – flip along diagonal
• fliplr(), flipud() : flip matrix about
vertical and horizontal axes.
22. SAVING DATA
• MATLAB uses its own platform independent file format
for saving data – files have a .mat extension
– The ‘save’ command saves variables from the
workspace to a named file (or matlab.mat if no
filename given)
• save filename – saves entire workspace to filename.mat
• save var1 var2 … filename – saves named variables
to filename.mat
– By default save overwrites an existing file of the same
name, the –append switch forces appending data to
an existing file (but variables of same name will be
overwritten!)
• save var1 var2 filename -append
23. – Data is recovered with the ‘load’ command
• load filename – loads entire .mat file
• load filename var1 var2 …– loads named variables
• load filename –ascii – loads contents of an ascii
flatfile in a variable ‘filename’.
The ascii file must contain a rectangular array of numbers so
that it loads into a single matrix.
• X=load(‘filename’,’-ascii’) – loads the ascii file into
a variable ‘X’
• save var1 filename –ascii – saves a single variable
to an ascii flat file (rectangular array of numbers)
24. • There have been changes to the internal format of .mat files
between MATLAB v4 and v5 (major changes to allow arrays
with more than 2 dimensions, structures, cell arrays…), and
again with v7 (minor change to use unicode instead of ascii).
Later versions will load old format files. You can force save to
an old file format with –v4 and –v6 switches
save filename –v6