I am using some python code from kaggle that plots a bar graph. However, when I run it, it does not display the graph. When I run it in the IDE I get the following output:
<matplotlib.axes._subplots.AxesSubplot object at 0x1200b9ba8>
<matplotlib.axes._subplots.AxesSubplot object at 0x1200b9ba8>
<matplotlib.axes._subplots.AxesSubplot object at 0x1200b9ba8>
I have used the .show() method but nothing seems to work.
Here is the link to the code that I am using:
I also have it directly in the question:
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
import matplotlib
from sklearn.linear_model import LinearRegression
# Input data files are available in the "../input/" directory.
# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory
#from subprocess import check_output
#print(check_output(["ls", "../input"]).decode("utf8"))
# Any results you write to the current directory are saved as output.
frame=pd.read_csv('Project_Airplane_Crashes_and_Fatalities_Since_1908.csv',sep=',')
matplotlib.rcParams['figure.figsize'] = (12.0, 8.0)
operator = frame[['Operator','Fatalities']].groupby('Operator').agg(['sum','count'])
fig_ops,((ax1, ax2), (ax3, ax4))=plt.subplots(2,2,sharex=True)
accidents = operator['Fatalities','count'].sort_values(ascending=False)
totalacc = accidents.sum()
accprop = accidents/totalacc
accidents.head(10).plot(kind='bar',title='Accidents by Operator',ax=ax1,grid=True,rot=90)
accprop.head(10).plot(kind='bar',title='Proportion of Total Accidents',ax=ax2,grid=True,rot=90)
fatalities = operator['Fatalities','sum'].sort_values(ascending=False)
fatalities.head(10).plot(kind='bar',title='Fatalities by Operator',ax=ax3,grid=True,rot=90)
totalfatal = fatalities.sum()
fatalprop = fatalities/totalfatal
#print(fatalprop)
fatalprop.head(10).plot(kind='bar',title='Proportion of total Fatalities',ax=ax4,grid=True,rot=90)
Any help would be greatly appreciated.
