Dynamic Plotting with IpyWidgets

Question

So I'm trying to create a cell that refreshes plots using a slider. Here is the code,

slider = FloatSlider(0.1)
slider.max = 1
slider.min = 0
plt.plot(figsize=(15,10))

def plot_corr_graph_summary(lod):
    plt.clf()
    corrMatrix_Crushed = df_summary_virtual_physical_split.iloc[:,int(lod):].corr()
    sns.heatmap(corrMatrix_Crushed, annot=False)
    plt.show()

def level_of_detail(change):
    if slider.value >= 0.2:
        plot_corr_graph_summary(6-slider.value*10)

slider.observe(level_of_detail, 'value')
slider

The result looks like,

How do I make the plots overwrite one another, I am trying to use plt.clf() in my function but nothing seems to be happening.

Akash Sonthalia · Accepted Answer · 2020-04-25 18:29:32Z

1

Got it!

using

from IPython.display import clear_output

The cell output is HTML! Need to flush that, not the plot.

clear_output()

Will do the trick.

answered Apr 25, 2020 at 18:29

Akash Sonthalia

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