i've a dataframe which looks like this:
count time outcount outtime
151 9:01 151 9:05
198 9:35 190 9:39
0 - 5 10:25
I want to color entire row where count is not equal to outcount, and print the entire dataframe in python shell. I am able to apply colored formatting in jupyter notebook using following function:
def highlight_greater(x):
y = 'yellow'
m1 = x['count'] != x['outcount']
df1 = pd.DataFrame('background-color: ', index=x.index, columns=x.columns)
df1['count'] = np.where(m1, 'background-color: {}'.format(y), df1['count'])
return df1
df.style.apply(highlight_greater, axis=None)
However, df.style.apply does not work in python shell, can someone guide me how to get the desired result in python shell.
