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Imagine I have 10 figures that I would like to show in Jupyter notebook. Using ipywidgets, how can create 10 tabs in a loop? Below I share a sample and if I think of 10 figures, then I would like to create tabs in a loop instead of manual work. Thanks in advance ! Best, DS

%matplotlib inline
import matplotlib.pyplot as plt
import pandas as pd
import ipywidgets as widgets
import numpy as np

out1 = widgets.Output()
out2 = widgets.Output()
data1 = pd.DataFrame(np.random.normal(size = 50))
data2 = pd.DataFrame(np.random.normal(size = 100))

tab = widgets.Tab(children = [out1, out2,])
tab.set_title(0, 'First')
tab.set_title(1, 'Second')
display(tab)

with out1:
    fig1, axes1 = plt.subplots()
    data1.hist(ax = axes1)
    plt.show(fig1)

with out2:
    fig2, axes2 = plt.subplots()
    data2.hist(ax = axes2)
    plt.show(fig2)
Debashish Saha
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1 Answers1

3

OK so here is something i came up with, although you will have to provide data out side of the loop, but this should be help full.

%matplotlib inline
import matplotlib.pyplot as plt
import pandas as pd
import ipywidgets as widgets
import numpy as np

data1 = pd.DataFrame(np.random.normal(size = 50))
data2 = pd.DataFrame(np.random.normal(size = 100))
data =[data1,data2]

sub_tab=[widgets.Output() for i in range(len(data))]
tab = widgets.Tab(sub_tab)
for i in range (len(data)):
    tab.set_title(i,"Tab {}".format(i+1))

    with sub_tab[i]:
        fig, axes = plt.subplots()
        data[i].hist(ax = axes)
        plt.show(fig)
display(tab)
mohsinali
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