Aligning table to x-axis using matplotlib python

Question

I'm trying to get the python tables for a bar plot to be aligned. For example in the attached graph, you'll see that x-axis is not properly aligned to the vertical line that is down by the python table.

I tried modifying the scale of the figure

I want the font size of the table to be 40 so that it will be visible when i print the IEEEtran paper.

#!/usr/bin/env python
import csv
import numpy as np
import matplotlib.pyplot as plt
import matplotlib

def plot_bar(dataset):
    matplotlib.rc('font', family='sans-serif')
    matplotlib.rc('font', serif='Helvetica Neue')
    matplotlib.rc('text', usetex='false')
    matplotlib.rcParams.update({'font.size': 30})
    fig = plt.figure()
    ax = fig.add_subplot(111)
    fig = matplotlib.pyplot.gcf()
    fig.set_size_inches(30.0,7.5)
    N = len(dataset[1])

    Load    = dataset[0]
    QoS     = dataset[1]
    Energy  = dataset[2]

    ind = np.arange(N)
    width = 0.35

    plt.tick_params(axis='both', which='major', labelsize=35, pad=15)
    plt.tick_params(axis='y', which='minor', labelsize=35, pad=15)



    rects1 = ax.bar(ind, QoS, width,
                color='0.2',
                label='HP')

    rects3 = ax.bar(ind+width, Energy, width,
                color='0.4',
                label='OM')

    lns = [rects1, rects3]
    labs = [l.get_label() for l in lns]

    ax.legend(lns, labs, ncol=2)

    ax.set_xlim(-width,len(ind)+width)
    ax.set_ylim(0, 16000)

    ax.set_ylabel('RPS/Watt', fontsize=35)
    ax.set_xlabel('Percentage of Max Capacity', fontsize=35)

    xTickMarks = dataset[0]
    ax.set_xticks(ind+width)
    xtickNames = ax.set_xticklabels(xTickMarks)
    plt.setp(xtickNames, rotation=0, fontsize=40)
    plt.xticks([])
    ax.yaxis.grid()

    cell_text = [['2S-0.65GHz', '3S-0.65GHz', '4S-0.65GHz', '4S-0.65GHz', '2B2S-1.15GHz', '2B2S-1.15GHz', '3B2S-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz','2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz'],
            ['2S-0.65GHz', '3S-0.65GHz', '4S-0.65GHz', '4S-0.65GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz', '2B-1.15GHz']]
    colors=['0.2','0.4']
    rows = ['HP','OM']
    Loc='right'
    the_table = plt.table(cellText=cell_text,
                          rowLabels=rows,
                          colLabels=Load,
                          rowColours=colors,
                        cellLoc='right',
                          loc='bottom')
    the_table.scale(1,2.5)

    the_table.auto_set_font_size(False)
    the_table.set_fontsize(12)
    plt.subplots_adjust(left=0.2, bottom=0.2)

    ax.xaxis.labelpad = 70

    ax.yaxis.labelpad = 20
    fig.savefig('rps-watt' +'.eps',format='eps',bbox_inches='tight', pad_inches=0.1, dpi=1000)

dataset = [['29%', '40%', '51%', '63%', '69%', '71%', '74%', '77%', '80%', '83%', '86%', '89%', '91%', '94%', '97%', '100%'], [6524.0, 8749.0, 10470.0, 13096.0, 13126.0, 12965.0, 13493.0, 13717.0, 14351.0, 14993.0, 15308.0, 14320.0, 13179.0, 9809.0, 10168.0, 10621.0], [6524.0, 8749.0, 10470.0, 13096.0, 6827.0, 5586.0, 7697.0, 8205.0, 8298.0, 8733.0, 8887.0, 9278.0, 9659.0, 9809.0, 10168.0, 10621.0]]
plot_bar(dataset)

any update please? I am searching on how to change the width on matplotlib.. but didn't find anything — tandem
– tandem, Commented May 14, 2016 at 16:41
Try to make your code self-contained so that it executes for us (incluide data) and cut it down as much as possible to only show the essential problam. That way answers are more likely. — tfv
– tfv, Commented May 14, 2016 at 18:49

johnml1135 · Accepted Answer · 2016-05-18 14:16:54Z

10

+50

I think this is what you are looking for.
-added a parameter "spare_width" that makes it so the bar graph is proper.
-resized the legend font and xlabel spacing to look better and not block the data.
-added the "ggplot" style - I like it better.
-increased font size to 35 by moving the frequency (GHz) to it's own line and setting height through bbox.

import csv
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('ggplot')
import matplotlib

def plot_bar(dataset):
    matplotlib.rc('font', family='sans-serif')
    matplotlib.rc('font', serif='Helvetica Neue')
    matplotlib.rc('text', usetex='false')
    matplotlib.rcParams.update({'font.size': 30})
    fig = plt.figure()
    ax = fig.add_subplot(111)
    fig = matplotlib.pyplot.gcf()
    fig.set_size_inches(30.0,7.5)
    N = len(dataset[1])

    Load    = dataset[0]
    QoS     = dataset[1]
    Energy  = dataset[2]

    ind = np.arange(N)
    width = 0.35
    spare_width = (1 - width*2)/2

    plt.tick_params(axis='both', which='major', labelsize=35, pad=15)
    plt.tick_params(axis='y', which='minor', labelsize=35, pad=15)



    rects1 = ax.bar(ind, QoS, width,
                color='0.2',
                label='HP')

    rects3 = ax.bar(ind+width, Energy, width,
                color='0.4',
                label='OM')

    lns = [rects1, rects3]
    labs = [l.get_label() for l in lns]

    ax.legend(lns, labs, ncol=2, fontsize=30,framealpha=0)

    ax.set_xlim(-spare_width,len(ind)-spare_width)
    ax.set_ylim(0, 16000)

    ax.set_ylabel('RPS/Watt', fontsize=35)
    ax.set_xlabel('Percentage of Max Capacity', fontsize=35)

    xTickMarks = dataset[0]
    ax.set_xticks(ind+width)
    xtickNames = ax.set_xticklabels(xTickMarks)
    plt.setp(xtickNames, rotation=0, fontsize=40)
    plt.xticks([])
    ax.yaxis.grid()

    cell_text = [['2S\n0.65', '3S\n0.65', '4S\n0.65', '4S\n0.65', 
                  '2B2S\n1.15','2B2S\n1.15', '3B2S\n1.15', '2S\n1.15', 
                  '2S\n1.15', '2S\n1.15', '2S\n1.15','2S\n1.15', 
                  '2S\n1.15', '2S\n1.15', '2S\n1.15', '2S\n1.15'],
            ['2S\n0.65', '3S\n0.65', '4S\n0.65', '4S\n0.65',
             '2S\n1.15', '2S\n1.15', '2S\n1.15', '2S\n1.15', 
             '2S\n1.15', '2S\n1.15', '2S\n1.15', '2S\n1.15', 
             '2S\n1.15', '2S\n1.15', '2S\n1.15', '2B\n1.15']]
    colors=['0.2','0.4']
    rows = ['HP\nGHz','OM\nGHz']
    Loc='right'
    the_table = plt.table(cellText=cell_text,
                          rowLabels=rows,
                          colLabels=Load,
                          rowColours=colors,
                        cellLoc='center',
                          loc='bottom',
                          bbox=[0,-0.65,1,0.65])#x,y,w,h
    the_table.scale(1,2.5)

    the_table.auto_set_font_size(False)
    the_table.set_fontsize(35)
    plt.subplots_adjust(left=0.2, bottom=0.2)

    ax.xaxis.labelpad = 260

    ax.yaxis.labelpad = 20
    fig.savefig('rps-watt' +'.eps',format='eps',bbox_inches='tight', pad_inches=0.1, dpi=1000)

dataset = [['29%', '40%', '51%', '63%', '69%', '71%', '74%', '77%', '80%', '83%', '86%', '89%', '91%', '94%', '97%', '100%'], [6524.0, 8749.0, 10470.0, 13096.0, 13126.0, 12965.0, 13493.0, 13717.0, 14351.0, 14993.0, 15308.0, 14320.0, 13179.0, 9809.0, 10168.0, 10621.0], [6524.0, 8749.0, 10470.0, 13096.0, 6827.0, 5586.0, 7697.0, 8205.0, 8298.0, 8733.0, 8887.0, 9278.0, 9659.0, 9809.0, 10168.0, 10621.0]]
plot_bar(dataset)

This plot created using WinPython-64bit-3.4.4.1Qt5 download here

edited May 18, 2016 at 14:16

answered May 17, 2016 at 13:06

johnml1135

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10 Comments

tandem Over a year ago

at 69% and 71%, 2B2S is scratching the left border. can we also make it right aligned? and the fontsize of the table has to be much greater than 12. to be visible on a 1 single column IEEE paper

tandem Over a year ago

Thanks for the edit @johnml1135. I was looking at the possibility of using Coretype-frequency at the same place because for some HP and OM do not necessarily have the same value for GHz. Plus the fontsize is a bit too small :(

tandem Over a year ago

Thanks!. I think that does that job.

tandem Over a year ago

With the code you gave. the Y-Axis is not generated. I removed 'ggplot' and the y-axis is generate. but looks really nasty

tandem Over a year ago

I just realized that it is an issue only with ggplot. with classic, no issues.. wonder why

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