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description=In this tutorial, I will show you how to create graphs using Python s matplotlib library. I will show you how to install the library, and I ll walk you through some examples.;

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introducing python s matplotlib library envato tuts skip to content get every type of asset for any type of project and access to ai tools from 16 50 m design business photo video web design code code view all code start learning wordpress wordpress view all wordpress plugin development theme development mobile development mobile development view all mobile development ios development ios templates android development android templates react native development react native templates ionic development ionic templates corona firebase kotlin javascript javascript view all javascript react vue js node jquery angular web apis php php view all php laravel php scripts codeigniter yii coding fundamentals coding fundamentals view all coding fundamentals oop functional programming databases sql security testing workflow design patterns rest api machine learning authentication version control git performance xml ajax regular expressions tools terminal and cli python python view all python django 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learning django all python ruby start learning ruby on rails all ruby game development cloud hosting start learning aws web servers hosting scaling all cloud hosting music get unlimited creative assets home code python introducing python s matplotlib library in this tutorial i will show you how to create graphs using python s matplotlib library i will show you how to install the library and i ll walk you through some examples scroll to top abder rahman ali apr 30 2023 6 min read english english bahasa indonesia copied to clipboard python coding fundamentals as a researcher who writes publications regularly i m frequently faced with the issue of producing neat graphs this wasn t always easy for me and i had to use the available tools in the best way i could but i wasn t satisfied with the graphs i produced most of the time i always used to wonder how other researchers produced their neat graphs this issue started to diminish after i came across python s library matplotlib which produces such neat graphs as mentioned on the library s website matplotlib is a python 2d plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms matplotlib can be used in python scripts the python and ipython shell ala matlab or mathematica web application servers and six graphical user interface toolkits matplotlib tries to make easy things easy and hard things possible you can generate plots histograms power spectra bar charts errorcharts scatterplots etc with just a few lines of code in this tutorial i m going to show you how to install matplotlib and then i ll walk you through some examples if you re interested in digging deeper into python and learning how to use the power of python to handle data why not check out these two courses learn to code with python derek jensen 09 mar 2017 data handling with python derek jensen 18 jul 2016 installing matplotlib installing matplotlib is very simple i m currently working on a macos machine so i will show you how to install the library on that operating system please see the matplotlib installation page for more information on installing matplotlib on other operating systems matplotlib can be installed by running the following commands in your terminal i m going to use pip but you can use other tools 1 curl o https bootstrap pypa io get pip py 2 python get pip py 3 pip install matplotlib that s it you now have matplotlib up and running just as simple as that drawing basic plots let s now look at some examples of using matplotlib the first set of examples will be on drawing some basic plots line plot let s consider a simple example of drawing a line plot using matplotlib in this case we are going to use matplotlib pyplot which provides a matlab like plotting framework in other words it provides a collection of command style functions that enable matplotlib to work like matlab let s say we wanted to plot a line for the following set of points 1 x 4 8 13 17 20 2 y 54 67 98 78 45 this can be done using the following script 1 import matplotlib pyplot as plt 2 plt plot 4 8 13 17 20 54 67 98 78 45 3 plt show notice that we represented the x and y points as lists in this case the result will be as follows the line in the figure above is the default line that gets drawn for us in terms of shape and color we can customize that by changing the shape and color of the line using some symbols specifiers from the matlab plot documentation so let s say we wanted to draw a green dashed line with diamonds markers the specifiers we need in this case are g d in our script above we place the specifiers as follows 1 plt plot 4 8 13 17 20 54 67 98 78 45 g d in which case the figure line plot will look as follows we have drawn a simple line plot but we need insights into what the data represents let s change that by adding a title and labels on the x and y axis we will use the following data which shows the average rainfall distribution in new york city 1 month jan feb mar apr may jun jul aug sep oct nov dec 2 rainfall 83 81 97 104 107 91 102 102 102 79 102 91 let s plot the line for the data above 1 import matplotlib pyplot as plt 2 3 month jan feb mar apr may jun jul aug sep oct nov dec 4 rainfall 83 81 97 104 107 91 102 102 102 79 102 91 5 6 plt plot month rainfall 7 plt xlabel month 8 plt ylabel rainfall in mm 9 plt title average rainfall in new york 10 plt show the resulting figure looks like this scatter plot a scatter plot is a graph that shows the relationship between two sets of data such as the relationship between age and height in this section i m going to show you how we can draw a scatter plot using matplotlib let s take two sets of data x and y for which we want to find their relationship scatter plot 1 x 2 4 6 7 9 13 19 26 29 31 36 40 48 51 57 67 69 71 78 88 2 y 54 72 43 2 8 98 109 5 35 28 48 83 94 84 73 11 464 75 200 54 the scatter plot can be drawn using the following script 1 import matplotlib pyplot as plt 2 x 2 4 6 7 9 13 19 26 29 31 36 40 48 51 57 67 69 71 78 88 3 y 54 72 43 2 8 98 109 5 35 28 48 83 94 84 73 11 464 75 200 54 4 plt scatter x y 5 plt show the output of this script is of course you can change the color of the markers in addition to other settings as shown in the documentation let s also add a title and labels to the scatter plot 1 import matplotlib pyplot as plt 2 x 2 4 6 7 9 13 19 26 29 31 36 40 48 51 57 67 69 71 78 88 3 y 54 72 43 2 8 98 109 5 35 28 48 83 94 84 73 11 464 75 200 54 4 plt xlabel x axis 5 plt ylabel y axis 6 plt title a simple scatter plot 7 plt scatter x y 8 plt show the figure now looks like this you can also change the color of the markers and add a grid 1 import matplotlib pyplot as plt 2 x 2 4 6 7 9 13 19 26 29 31 36 40 48 51 57 67 69 71 78 88 3 y 54 72 43 2 8 98 109 5 35 28 48 83 94 84 73 11 464 75 200 54 4 plt xlabel x axis 5 plt ylabel y axis 6 plt title a simple scatter plot 7 plt grid true 8 plt scatter x y c green 9 plt show the figure now looks like this histograms a histogram is a graph that displays the frequency of data using bars where numbers are grouped in ranges in other words the frequency of each data element in the list is shown using the histogram the grouped numbers in the form of ranges are called bins let s look at an example to understand this more let s say that the list of data we want to find the histogram for is as follows 1 x 2 4 6 5 42 543 5 3 73 64 42 97 63 76 63 8 73 97 23 45 56 89 45 3 23 2 5 78 23 56 67 78 8 3 78 34 67 23 324 234 43 544 54 33 223 443 444 234 76 432 233 23 232 243 222 221 254 222 276 300 353 354 387 364 309 2 the python script we can use to display the histogram for the above data is 1 import matplotlib pyplot as plt 2 x 2 4 6 5 42 543 5 3 73 64 42 97 63 76 63 8 73 97 23 45 56 89 45 3 23 2 5 78 23 56 67 78 8 3 78 34 67 23 324 234 43 544 54 33 223 443 444 234 76 432 233 23 232 243 222 221 254 222 276 300 353 354 387 364 309 3 num_bins 6 4 n bins patches plt hist x num_bins facecolor green 5 plt xlabel x axis 6 plt ylabel y axis 7 8 plt title a simple histogram 9 plt show when you run the script you should get something similar to the following graph histogram there are of course more parameters for the function hist as shown in the documentation further reading this tutorial was a scratch on the surface for working with graphs in python there is more to matplotlib and you can do many interesting things with this library if you want to learn more about matplotlib and see other types of figures you can create with this library one place could be the examples section of the matplotlib website there are also some interesting books on the topic such as mastering matplotlib and matplotlib plotting cookbook conclusion as we saw in this tutorial python can be extended to perform interesting tasks by utilizing third party libraries i have shown an example of such a library namely matplotlib as i mentioned in the introduction of this tutorial producing neat looking graphs wasn t an easy task for me especially when i wanted to present such graphs in scientific publications matplotlib gave the solution to this issue because you are able not only to produce nice looking graphs in an easy manner but also to have control i e parameters over such graphs since you are using a programming language to generate them in our case python python coding fundamentals by abder rahman ali like your all in one creative asset toolkit start now unlimited downloads from 16 50 month get access to over one million creative assets on envato over 9 million digital assets everything you need for your next creative project create beautiful logos designs mockups in seconds design like a professional without photoshop join the community share ideas host meetups lead discussions collaborate discover about envato our pricing plans stock video video templates royalty free music stock photos fonts popular searches license user terms license terms terms conditions privacy policy 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