Apply shading, formatting and borders to pivoted dataframe - dataframe

Question

I have the following data that has been pivoted:
pip install Jinja2
import pandas as pd
import numpy as np
from numpy import rec, nan
a=rec.array([('FY20', 361.410592 , nan, 21.97, nan, 'Total', 'Fast'),
('FY21', 359.26952604, -1., 22.99, 5., 'Total', 'Fast'),
('FY22', 362.4560529 , 1., 22.77, -1., 'Total', 'Fast'),
('FY23', 371.53543252, 2., 21.92, -4., 'Total', 'Fast'),
('FY24', 374.48894494, 1., 21.88, -0., 'Total', 'Fast'),
('FY25', 377.09481613, 1., 21.85, -0., 'Total', 'Fast'),
('FY20', 67.043756 , nan, 21. , nan, 'Homes', 'Fast'),
('FY21', 110.12145222, 63., 20.95, -0., 'Homes', 'Fast'),
('FY22', 117.46526727, 7., 20.73, -1., 'Homes', 'Fast'),
('FY23', 125.83482531, 7., 18.99, -8., 'Homes', 'Fast'),
('FY24', 126.16748411, 1., 18.95, -0., 'Homes', 'Fast'),
('FY25', 127.786528 , 1., 18.96, 0., 'Homes', 'Fast'),
('FY20', 294.366836 , nan, 22.19, nan, 'Businesses', 'Fast'),
('FY21', 249.14807381, -15., 23.89, 8., 'Businesses', 'Fast'),
('FY22', 245.99078563, -2., 23.74, -1., 'Businesses', 'Fast'),
('FY23', 245.70060721, 0., 23.42, -1., 'Businesses', 'Fast'),
('FY24', 247.32146083, 1., 23.37, -0., 'Businesses', 'Fast'),
('FY25', 250.30828813, 1., 23.33, -0., 'Businesses', 'Fast'),
('FY20', 184.631684 , nan, 15.47, nan, 'Total', 'Medium'),
('FY21', 274.25718084, 49., 15.53, 0., 'Total', 'Medium'),
('FY22', 333.23835913, 21., 15.33, -1., 'Total', 'Medium'),
('FY23', 357.33167549, 7., 15.52, 1., 'Total', 'Medium'),
('FY24', 367.84796426, 3., 15.53, 0., 'Total', 'Medium'),
('FY25', 370.1664439 , 1., 15.53, 0., 'Total', 'Medium'),
('FY20', 46.522416 , nan, 17.89, nan, 'Homes', 'Medium'),
('FY21', 97.63428522, 112., 18.72, 5., 'Homes', 'Medium'),
('FY22', 141.25547499, 46., 17.86, -5., 'Homes', 'Medium'),
('FY23', 157.06766598, 11., 18.33, 3., 'Homes', 'Medium'),
('FY24', 163.02337094, 4., 18.29, -0., 'Homes', 'Medium'),
('FY25', 165.98360465, 1., 18.28, -0., 'Homes', 'Medium'),
('FY20', 138.109268 , nan, 14.66, nan, 'Businesses', 'Medium'),
('FY21', 177.62289562, 28., 13.77, -6., 'Businesses', 'Medium'),
('FY22', 191.98288414, 8., 13.46, -2., 'Businesses', 'Medium'),
('FY23', 200.26400951, 4., 13.31, -1., 'Businesses', 'Medium'),
('FY24', 203.82459332, 2., 13.31, 0., 'Businesses', 'Medium'),
('FY25', 205.18283926, 1., 13.31, 0., 'Businesses', 'Medium')],
dtype=[('FY', 'O'), ('ADV', '<f8'), ('YoY_ADV', '<f8'), ('Yield', '<f8'), ('YoY_Yld', '<f8'), ('Cut', 'O'), ('Product', 'O')])
df = pd.DataFrame(a)
df1=pd.melt(df, id_vars=['FY','Product','Cut'], var_name="Metric", value_name="Value")
df2 = pd.pivot(df1, index=['Metric', 'Product','Cut'],columns=['FY'],values=['Value'])
df2
And looks like this:
I want to apply table styles so I can copy/paste a polished table into PowerPoint but need the following:
Shade columns FY23, FY24, FY25 in orange
Apply formatting: Metric=ADV rounded to zero decimals, Metric=Yield to 2 decimals, and each of YoY_ADV plus YoY_Yld to 1 decimal place
Negative numbers red, otherwise black
Apply frame around table.
Here is my code but I am getting error 'Cannot index with multidimensional key':
# 1. If numbers are negative, make red otherwise black
#####################################################
def color_negative_red(x):
if x < 0:
return 'color: red'
else:
return 'color: black'
# 2. Slide major metrics so formatting can be applied
######################################################
adv_slice=df2.loc[('ADV', slice(None)), :]
yld_slice=df2.loc[('Yield', slice(None)), :]
yoy_adv_slice=df2.loc[('YoY_ADV', slice(None)), :]
yoy_yld_slice=df2.loc[('YoY_Yld', slice(None)), :]
#3. Apply table style
#####################
df2.style.applymap(color_negative_red).set_properties(**{'background-color': 'orange'}, subset=['FY23','FY24','FY25']).format('{:.0f}', subset=adv_slice, na_rep='-').format('{:.2f}', subset=yld_slice, na_rep='-').format('{:.1f}', subset=(yoy_adv_slice,yoy_yld_slice), na_rep='-').set_table_styles([{'selector': '',
'props' : [('border','1px solid black')]},
{'selector': 'th',
'props' : [('border','1px solid black')]},
{'selector': 'td',
'props' : [('border','1px solid black')]}]).set_properties(**{'text-align': 'center'})
What is needed to make the code work?

Answer 1

With some mods:
[![# 1. If numbers are negative, make red otherwise black
#####################################################
def color_negative_red(x):
if x < 0:
return 'color: red'
else:
return 'color: black'
#2. Apply table style
#####################
df2.style.applymap(color_negative_red).set_properties(**{'background-color': 'orange'}, subset=\['FY23','FY24','FY25'\]).\
format('{:.0f}', subset=('ADV',), na_rep='-').\
format('{:.2f}', subset=('Yield',), na_rep='-').\
format('{:.1f}', subset=('YoY_ADV',), na_rep='-').\
format('{:.1f}', subset=('YoY_Yld',), na_rep='-').\
set_table_styles(\[{'selector': '',
'props' : \[('border','0.1px solid black')\]},
{'selector': 'th',
'props' : \[('border','0.5px solid black')\]},
{'selector': 'td',
'props' : \[('border','0.5px solid black')\]}\]).set_properties(**{'text-align': 'center'})][1]][1]