Python matplotlib how to add total value on top of stacked bar chart

Question

import matplotlib
import matplotlib.pyplot as plt
import numpy as np

colors = dict()
colors['sats'] = 'b'
colors['cache'] = 'orange'
colors['3h'] = 'k'
colors['memory'] = 'g'
colors['integer'] = 'r'
#####################################
sz = np.array([ 2.,  4.,  6.,  8.])


t1 = np.array([  5.9718688 ,  13.23303584,  23.9000157 ,  37.94884449])
t2 = np.array([  7.38123836,  16.45442501,  29.56201748,  46.60925727])
t3 = np.array([   8.87223103,   19.89443438,   36.27273578,   57.65372517])
t4 = np.array([   9.88902238,   22.11467593,   40.2324561 ,   63.90151877])
t4 -= t3
t3 -= t2
t2 -= t1
plt.bar(sz, t1, color=colors['sats'], edgecolor='white', label="SATS")
plt.bar(sz, t2, bottom=np.array(t1), color=colors['cache'], edgecolor='white', label="Caching values")
plt.bar(sz, t3, bottom=np.array(t1)+np.array(t2), color=colors['memory'], edgecolor='white', label="Optimizing memory access")
plt.bar(sz, t4, bottom=np.array(t1)+np.array(t2)+np.array(t3), color=colors['integer'], edgecolor='white', label="Integer SATS")
plt.ylim(top=70)
plt.xlabel('Filter radius')
plt.ylabel('Cumulative speedup ratio')
plt.legend()
plt.savefig("benchmark-cpu-relativit.pdf", transparent = True, bbox_inches = 'tight', pad_inches = 0)
plt.close()

So I want to add the total value on top of the bars. For example, first bar should have 10, second bar should have 22, ...

I tried barh but I get error TypeError: bar() got multiple values for keyword argument 'bottom'

Check here: https://stackoverflow.com/questions/21688028/displaying-totals-above-stacked-bars-in-barchart-matplotlib-pyplot/21688214 — IoaTzimas, Sep 14 '20 at 09:28
Does this answer your question? [Displaying totals above stacked bars in barchart: matplotlib.pyplot](https://stackoverflow.com/questions/21688028/displaying-totals-above-stacked-bars-in-barchart-matplotlib-pyplot) — JohanC, Sep 14 '20 at 11:56

JQTs · Accepted Answer · 2021-07-16T20:34:02.597

I made mine a function. My next goal is to get totals for all areas in my case counties, and display that as well. Feel free to take out the function aspect. Not needed.

This part I believe you have, but wanted to keep everything together

def getTotalCounts(dfSS): 
county = dfSS.groupby(['County']).count()  # this will put "COUNTY"on Y-Axis and  
                                           #counts all the values from other columns
counts = county.loc[:,"Number of Vehicles Removed"]  # left side :  all rows , right side: is the column we want to look at. 

counts.plot(kind='bar', x='county', y='counts') #this makes our bar chart from the 
                                                #data.

#This added totals for each section to the top of our bar chart, centered

   for i in range(len(county)):   
    plt.text(i, counts[i], counts[i], ha='center', va='bottom') #i for each index. [i] 
     # for the height of counts(the bar/number of "whatever you're counting")
     # the 2nd count[i] is for displaying numbers but we can put "text" there

More add-ons if needed

plt.title('Total Vehicle Removal Counts By County') #title the bar chart
plt.xlabel("Counties")  # labels the X-Axis on our graph
plt.ylabel('Vehicles Removed')  # labels the Y-Axis on our graph
plt.legend()  # add a legend for our graph

# plt.xticks([1,2,3]) # change to x tick values and how much they go or down by
# plt.yticks([1,2,3]) # change to y tick values and how much they go or down by

plt.show()  # show or print out the graph to view

Side note this is not for stacked bar charts, but individual bars in our bar chart.

Python matplotlib how to add total value on top of stacked bar chart

1 Answers1