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jfmejiat
Asked: 2022-07-19 07:50:27 +0800 CST 2022-07-19 07:50:27 +0800 CST

Problem to correctly visualize the data of a graph in Python

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After a long time I returned to Python again and I am currently replicating some data with Matplotlib from the following graph:

Figure 3(a), example

The code is the following:

x_1=[0.000,100.943,150.943,201.887,250.943,350.000]
y_1=[0.000,28.135,56.269,85.933,99.388,100.000]

plt.xlim(0,400)
plt.ylim(0,100)

plt.title('(a)')

plt.ylabel('Elimnación de TPHs (%)')
plt.xlabel('Temperatura (°C)')

for pos in ['right', 'top']: 
    plt.gca().spines[pos].set_visible(False)

plt.plot(x_1,y_1,'ok-', markersize=15)

plt.show()

plt.savefig('3.1 (a).png')

When I run the code I get the following:

enter image description here

How can I make the plot data not look 'clipped' without having to change the bounds? and How can I scale the x-axis so that it is 100 by 100 with all the numbers?

python

1 Answers

  1. Best Answer

    How can I make the plot data not look 'clipped' without having to change the bounds?

    Set clip_on=Falseas argument of plt.plot:

    plt.plot(x_1, y_1, 'ok-', markersize=15, clip_on=False)

    How can I scale the x axis so that it is 100 by 100 with all the numbers?

    Use plt.xticksand set the values ​​you want to plot. In this case, from 0 to 400 with an increment of 100:

    plt.xticks(range(0, 401, 100))

    Equivalently using numpy:

    plt.xticks(np.arange(0, 400 + 1, 100))
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