Tugas Probabilitas Statistika

Tugas Probabilitas Statistika

Nama : Didi Ardiansyah

NPM : 1215031021

Kelas A

Sintax Program

import numpy as np

import matplotlib.pyplot as plt

N = 5

TenagaAirMeans = (3501.5, 3504.4, 3508.6, 3682.6, 3844.7)

ind = np.arange(N)  # the x locations for the groups

width = 0.05  # the width of the bars

plt.subplot(111)

rects1 = plt.bar(ind, TenagaAirMeans, width,

                    color='b',

                    error_kw=dict(elinewidth=5, ecolor='blue'))

TenagaUapMeans = (7114.0, 8764.0, 8764.0, 13045.5, 15775.5)

rects2 = plt.bar(ind+width, TenagaUapMeans, width,

                    color='r',

                    error_kw=dict(elinewidth=5, ecolor='red'))

TenagaGasMeans = (1885.6, 2496.7, 2570.6, 3634.7, 3250.4)

rects3 = plt.bar(ind+(width*2), TenagaGasMeans, width,

                    color='magenta',

                    error_kw=dict(elinewidth=5, ecolor='magenta'))

TenagaGasUapMeans = (6280.9, 7371.0, 7371.0, 8029.3, 8619.0)

rects4 = plt.bar(ind+(width*3), TenagaGasUapMeans, width,

                    color='cyan',

                    error_kw=dict(elinewidth=5, ecolor='cyan'))

TenagaPanasBumiMeans = (415.0, 830.0, 415.0, 1130.0, 1131.3)

rects5 = plt.bar(ind+(width*4), TenagaPanasBumiMeans, width,

                    color='g',

                    error_kw=dict(elinewidth=5, ecolor='green'))

TenagaDieselMeans = (2956.2, 3020.8, 2980.8, 3327.8, 2633.0)

rects6 = plt.bar(ind+(width*5), TenagaDieselMeans, width,

                    color='orange',

                    error_kw=dict(elinewidth=5, ecolor='orange'))

# add some

plt.ylabel('nilai')

plt.title('Kapasitas Terpasang (MW) Perusahaan Listrik Negara (PLN) menurut Jenis Pembangkit Listrik 2007-2011')

plt.xticks(ind+width, ('2007', '2008', '2009', '2010', '2011') )

plt.legend( (rects1[0], rects2[0], rects3[0], rects4[0], rects5[0], rects6[0]), ('TenagaAir', 'TenagaUap', 'TenagaGas', 'TenagaGasUap', 'TenagaPanasBumi', 'TenagaDiesel') )

def autolabel(rects):

    # attach some text labels

    for rect in rects:

        height = rect.get_height()

        plt.text(rect.get_x()+rect.get_width()/4., 1.01*height, '%d'%int(height),

                ha='left', va='bottom')

autolabel(rects1)

autolabel(rects2)

autolabel(rects3)

autolabel(rects4)

autolabel(rects5)

autolabel(rects6)

plt.show()

Link Data : http://www.bps.go.id/tab_sub/view.php?kat=2&tabel=1&daftar=1&id_subyek=07&notab=4