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); 
