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#PYTHON REAL TIME 3D EARTHQUAKE MAP UPDATE#
So, this script will update the csv file every second. If you want to learn to convert a json file to csv file, you can read our tutorial here. In this script I have used nsetools to fetch the live quote price of infosys as q (which is a json) and then I have written the time (using datetime and stftime) and last price in a csv file using csv module. With open('python_live_plot_data.csv', 'a') as f: And then we will create a Realtime plot of that data.įirst of all, I have created a script called ‘python_live_plot_data.py’ to create ‘python_live_plot_data.csv’ file. Now, we will be using an API to get realtime data of Infosys (‘INFY’) and then update a CSV file with that data. Python realtime plotting from a CSV using an API For rest of the code, you can follow our complete tutorial series. We have used FuncAnimation to keep on updating the plot using the animate function every second (1000 ms). Then we have cleared the plot using plt.cla() and finally plotted it using plt.plot(). We have used index and randint function for the same. In this code to create python live plot, first of all we have created two empty lists for x_values and y_values, then we have created an animate function to append values to those list. # python_live_plot.pyįrom matplotlib.animation import FuncAnimationĪni = FuncAnimation(plt.gcf(), animate, 1000) Create a file called python_live_plot.py and start coding. We will be using python’s inbuilt modules like random, count from itertools etc. I hope you will find some usecase for creating python realtime plots and this tutorial would be helpful to you.įirst of all, we will be created a python realtime linegraph using a local script.
#PYTHON REAL TIME 3D EARTHQUAKE MAP SERIAL#
Such kind of live plots can be extremely useful to plot live data from serial ports, apis, sensors etc. So, in the later part of this tutorial we will be creating matplotlib live/ realtime plot from a data api. The csv file will be created and updated using an api. In the beginning, we will be plotting realtime data from a local script and later on we will create a python live plot from an automatically updating csv file.
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In this tutorial, we will learn to plot live data in python using matplotlib.