Feb 10, 2024 · When starting out with matplotlib I find it very useful to look at the gallery examples, where you will find many examples showing the code used to generate each plot. The simple scatter plot example is here.

Oct 6, 2020 · You could use matplotlib to create all the images then use any number of JS programs that act like google maps. Then your preprocessing the data and so the user experience would be really good. The challenge would be getting matplotlib to generate images of chart data that could be tiled.

May 23, 2022 · You want to know how to refer to an iterable of all the data you want to plot for each axis and then just call plt.scatter() once with those iterables assigned to each axis. If you want each point to be a different color and that color to follow that default sequence as you have it, then you use the cmap = plt.get_cmap("tab10") and set the c ...

Jan 8, 2023 · Here is my code: # Creates our figure + axes fig = plt.figure(figsize=(8.0,8.0)) ax = plt.axes(xlim=(0.0,30.0),ylim=(160.0,180.0),title='Sample Title',xlabel='Dates',ylabel='Weights') # This function should be repeatedly called in order to continuously plot user-updated values. # wdtable.x_vals and wdtable.y_vals are separate lists that start off empty but become updated …

Dec 30, 2021 · I'm doing a personal project for my itchy skin. I recorded my itchiness level over a period of 20 days. I'm currently using matplotlib and pandas to try and create a scatter plot for all of the hours and minutes of the day, to see if there is any time of the day when I am typically itchy or more itchy than usual.

Nov 2, 2020 · here is a simple section of my input file for my graph. 1 M 7 3 0.227 2 S 13 4 0.281 3 Y 16 6 0.377 4 Q 16 6 0.461 5 V 11 4 0.494 6 L 5 1 0.510 7 X 1 0 0.512 8 X 1 0 0.766 9 K 7 1 0.745 10 W 11 6 0.741

Dec 5, 2020 · The problem is that your data is currently of type String, because you're reading it straight from a text file. Strings are not ordered by matplotlib, hence the weird y-axis. Try converting your data to Floats. You can either do it number-by-number as you read in the data, or all at the end with a list comprehension.

Jan 30, 2023 · Adding a legend to a scatter plot in matplotlib I'm currently exploring a dataset from kaggle with information of dog breeds, their inteligence and their size. I'm trying to scatter them by height and weight and color them by classification but I'm failing to create a legend for this graph.

Jan 9, 2017 · Agreed, but OP is just stepping out of MATLAB. They'll climb on to better plotting tools in Python as they get comfortable. Matplotlib is a touch of the familiar while they get up to speed with OOP and Python's various other benefits. Eventually, matplotlib will be the anti-Pythonic drag, and OP will go find things like Pyplot or Pyqtgraph.

Apr 21, 2022 · Agree with you. The versatility of matplotlib is insane for scientific plotting. I have used Plotly, Bokeh, Altair and others, and always come back to matplotlib since there is usually some specific behavior that the other libraries cannot reproduce. But this might be due to the much longer development time of matplotlib. The library is decades ...