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1 step 1 kakaku.com/bicycle/bicycle-battery/ web web Chrome cntl + Source Code and Copy cd 'kakaku_com_bicycle_bicycle-battery.html' In [166]: from bs4 import BeautifulSoup In [167]: html = open('kakaku_com_bicycle_bicycle-battery_2017.html') soup = BeautifulSoup(html, "html.parser") source code <""><"/"> "Label" find_all ="listname" "listnum"

2 In [168]: soup.find_all("label")

3 Out[168]: [<label for="01"> </label>, <label for="02"> </label>, <label for="searchitem0_maker"><span class="listname"> < /span><span class="listnum">(74)</span></label>, <label for="searchitem1_maker"><span class="listname"> </span ><span class="listnum">(51)</span></label>, <label for="searchitem2_maker"><span class="listname"> < /span><span class="listnum">(39)</span></label>, <label for="searchitem3_maker"><span class="listname"> </sp an><span class="listnum">(11)</span></label>, <label for="searchitem4_maker"><span class="listname"> </span ><span class="listnum">(1)</span></label>, <label for="searchitem0_price"><span class="listname"> 24,999 </ span><span class="listnum">(45)</span></label>, <label for="searchitem1_price"><span class="listname">25,000 28,999 </span><span class="listnum">(53)</span></label>, <label for="searchitem2_price"><span class="listname">29,000 32,999 </span><span class="listnum">(40)</span></label>, <label for="searchitem3_price"><span class="listname">33,000 </ span><span class="listnum">(38)</span></label>, <label><input id="rank1_1" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank1_2" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank1_3" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank2_1" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank2_2" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank2_3" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank3_1" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank3_2" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank3_3" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank4_1" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank4_2" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank4_3" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank5_1" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank5_2" name="chkproductid" type="checkbox" va lue="k "/></label>, <label><input id="rank5_3" name="chkproductid" type="checkbox" va lue="k "/></label>, <label for="lithium_ion"> </label>, <label for="nickel_metal_hydride"> </label>]

4 In [169]: a = soup.find_all("span",{"class":"listname"}) b = soup.find_all("span",{"class":"listnum"}) span span class = 'listname' bs In [170]: a Out[170]: [<span class="listname"> </span>, <span class="listname"> </span>, <span class="listname"> </span>, <span class="listname"> </span>, <span class="listname"> </span>, <span class="listname"> 24,999 </span>, <span class="listname">25,000 28,999 </span>, <span class="listname">29,000 32,999 </span>, <span class="listname">33,000 </span>] In [6]: b Out[6]: [<span class="listnum">(74)</span>, <span class="listnum">(51)</span>, <span class="listnum">(39)</span>, <span class="listnum">(11)</span>, <span class="listnum">(1)</span>, <span class="listnum">(45)</span>, <span class="listnum">(53)</span>, <span class="listnum">(40)</span>, <span class="listnum">(38)</span>] In [171]: name_list = [] for name in a: name_list.append(name.get_text())

5 In [14]: name_list Out[14]: [' ', ' ', ' ', ' ', ' ', ' 24,999 ', '25,000 28,999 ', '29,000 32,999 ', '33,000 '] In [172]: num_list = [] for num in b: num_list.append(num.get_text()) In [11]: num_list Out[11]: ['(74)', '(51)', '(39)', '(11)', '(1)', '(45)', '(53)', '(40)', '( 38)'] num_list "str" '(74)' list pandas DataFrame import In [173]: import numpy as np import pandas as pd from pandas import DataFrame, Series

6 In [7]: import matplotlib.pyplot as plt %matplotlib inline In [8]: font = {'family': 'AppleGothic'} plt.rc('font', **font) AppleGothic In [174]: df2=dataframe(num_list) #list DataFrame In [175]: df2 # Out[175]: 0 0 (74) 1 (51) 2 (39) 3 (11) 4 (1) 5 (45) 6 (53) 7 (40) 8 (38)

7 In [176]: df2[0] # (74) 74 Out[176]: 0 (74) 1 (51) 2 (39) 3 (11) 4 (1) 5 (45) 6 (53) 7 (40) 8 (38) Name: 0, dtype: object In [177]: df2[0][1].strip('()') # '(74)' '74' () df2[0][j] j+1 '()' Out[177]: '51' In [178]: int(df2[0][1].strip('()')) # int() #'51' int( )= Out[178]: 51 In [25]: len(df2) Out[25]: 9 In [179]: i=0 new_df =[] while i < len(df2): new_df.append(df2[0][i].strip('()')) i +=1 # list '()'

8 In [180]: new_df Out[180]: ['74', '51', '39', '11', '1', '45', '53', '40', '38'] In [39]: new_df2 = [] j =0 while j < len(df2): new_df2.append(int(new_df[j])) j +=1 new_df2 # Out[39]: [74, 51, 39, 11, 1, 45, 53, 40, 38] In [181]: df3 = DataFrame(new_df2, index=name_list) # DataFrame name_list # len(name_list) = len(num_list) In [41]: df3 # Out[41]: , ,000 28, ,000 32, ,000 38

9 In [44]: df3.plot(kind='bar') # matplotlib.pyplot import Out[44]: <matplotlib.axes._subplots.axessubplot at 0x11aee8128> In [64]: df3[:5].plot(kind='barh', title='bicycle Battery # of products by makers') Out[64]: <matplotlib.axes._subplots.axessubplot at 0x11a7b6a58>

10 In [61]: df3[5:].plot(kind='bar', title='bicycle Battery Price Dist') Out[61]: <matplotlib.axes._subplots.axessubplot at 0x11d2de6d8> In [83]: df4=df3[:5] df4.plot.pie(subplots=true) Out[83]: array([<matplotlib.axes._subplots.axessubplot object at 0x11e0a8e8 0>], dtype=object)

11 In [165]: # df.index[j] j+1 df3.index[5] Out[165]: ' 24,999 ' In [85]: df4=df3.index.str.replace(' ','upto') df4 #df4 index DataFrame Out[85]: Index([' ', ' ', ' ', ' ', ' ', 'u pto24,999 ', '25,000 upto28,999 ', '29,000 upto32,999 ', '33,000 upto '], dtype='object') In [182]: df3.index.str.contains(' ') # Out[182]: array([false, False, False, False, False, True, True, True, Tr ue], dtype=bool) In [183]: # ' ' import sys i=0 for i in np.arange(len(df3)): if df3.index.str.contains(' ')[i]==true: sys.exit(i) i An exception has occurred, use %tb to see the full traceback. SystemExit: 5 To exit: use 'exit', 'quit', or Ctrl-D. In [ ]:

12 In [ ]: In [184]: df3[0][1] Out[184]: 51 In [185]: type(i) # int64 i Out[185]: 5 In [186]: df3[:i] Out[186]: In [187]: #g = df3.index.str.replace(' ','-') df3[i:] Out[187]: 0 24, ,000 28, ,000 32, , In [ ]:

13 In [194]: DF.to_csv('bicycle-battery_ csv')?? CSV In [190]: df3[i:].plot(kind='barh', title='bicycle Battery Price Dist') Out[190]: <matplotlib.axes._subplots.axessubplot at 0x11b5169e8>

14 In [191]: df3[:i].plot(kind='barh', title='bicycle Battery Price Dist') Out[191]: <matplotlib.axes._subplots.axessubplot at 0x11b6f49b0> In [ ]: In [ ]:

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