[FIXED] Graph not showing up on Jupyter lab

Issue

The below set of code previously worked well and I was able to visualise the boxplot graph well. This code was previously used in another project of mine, and it worked perfectly well. There were no changes done to this piece of code, and it is being reused here.

I have a 'df' dataframe and I am trying to create boxplots to visualise outliers. Unfortunately, the graph doesn't seem to visualise anything. I am not sure what is wrong with my set of code. Could someone please help?

df = pd.DataFrame({'TotalPrice':[1.000, 0.650, 0.0075, 0.0025, 0.200], 
                   'Voltage':[13.47, 13.41, 13.41, 13.41, 13.41], 
                   'ConversionFactor':[934.0, 934.0, 2580.0, 934.0, 934.0],
                    'Litres':[40.0, 26.0, 3.0, 1.0, 8.0]})

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import style

import warnings
warnings.filterwarnings("ignore")

%matplotlib inline
%pylab inline

df = pd.read_csv('dataset.csv')

fig, ax = plt.subplots(1,4, figsize = (8, 4))

ax[0].boxplot(df.TotalPrice)
ax[1].boxplot(df.Voltage)
ax[2].boxplot(df.ConversionFactor)
ax[3].boxplot(df.Litres);

The dataframe sample:

Solution

If you change from inline to notebook, and remove your pylab reference, it will work as expected within Jupyter Notebook:

%matplotlib notebook  #< not inline
# %pylab inline       #< this is not needed

Answered By - pfabri