Plotting Mat File In Python

Scipy is a really popular python library used for scientific computing and quite naturally they have a method which lets you read in mat files.

Plotting mat file in python.

The recommended way of plotting data from a file is therefore to use dedicated functions such as numpy loadtxt or pandas read csv to read the data. Python build in functions read readline and readlines in general a text file txt is the most common file we will deal with. Struct its lat element can. The result is a numpy array.

Here is the documentation of the plot method for you to further explore. Coming from the academia the annotations for the dataset was in the mat format. Matlab up to 7 1 mat files created with matlab up to version 7 1 can be read using the mio module part of scipy io reading structures and arrays of structures is supported elements are accessed with the same syntax as in matlab. Plotting curves from file data as explained earlier matplotlib only handles plotting.

Reading them in is definitely the easy part. After reading a structure called e g. Output of above program looks like this. Here we use numpy which is a general purpose array processing package in python.

Note that pandas dataframe plot is a convenient wrapper around matplotlib to create simple plots. Then plot the obtained data using matplotlib. Could anyone please let me know that why i can t plot this spectrum mat file kindly if someone show me the procedure for plotting mat files. You can get the file used in this post here.

The scipy s module loadmat and savemat can easily read and write the data stored in the python variable into the mat file respectively. By the way in this spectrum mat file there are two columns e g x axis frequency and y axis scale and 401 rows. To get corresponding y axis values we simply use predefined np sin method on the numpy array. These are more powerful and faster.

If you want to plot data stored in a file you will have to use python code to selection from matplotlib plotting cookbook book. To set the x axis values we use np arange method in which first two arguments are for range and third one for step wise increment. The numbers provided to the plot method are interpreted as the y values to create the plot. Text files are structured as a sequence of lines where each line includes a sequence of characters.