Paul Kanda Toshiaki knnkanda

## 20180414scraping.ipynb

      
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                knnkanda
                / 20180414scraping.ipynb
            
            
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              April 16, 2018 10:10
            
          
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## 20180408_yahoo_author.ipynb

      
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                knnkanda
                / 20180408_yahoo_author.ipynb
            
            
              Created
              April 8, 2018 07:38
            
          
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## %matplotlib inline
%matplotlib inline
# グラフ化
import pandas as pd
# pandasを pdに入れる
df = pd.read_csv("population.csv")
#pdの結果をdfに入れる
df.plot.bar(y=["2016"],x=["prefecture"])
#dfをbarチャートでプロット、x縦軸に人数 Y横軸に都市名を入れる

## %matplotlib inline
%matplotlib inline
# グラフ化
import pandas as pd
# pandasを pdに入れる
df = pd.read_csv("population.csv")
#pdの結果をdfに入れる
df.plot.bar(y=["2016"],x=["prefecture"])
#dfをbarチャートでプロット、x縦軸に人数 Y横軸に都市名を入れる

## %matplotlib inline
%matplotlib inline
# グラフ化
import pandas as pd
# pandasを pdに入れる
df = pd.read_csv("population.csv")
#pdの結果をdfに入れる
df.plot.bar(y=["2016"],x=["prefecture"])
#dfをbarチャートでプロット、x縦軸に人数 Y横軸に都市名を入れる

## csv from
 import pandas as pd
 pd.read_csv("population.csv")

## calendar month
import calendar
tc= calendar.TextCalendar(firstweekday=0)
print(tc.prmonth(2018, 4))

## 20180318Python_programing.ipynb

      
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                knnkanda
                / 20180318Python_programing.ipynb
            
            
              Created
              March 18, 2018 07:37
            
              
                Bloombergデータのスクレイピング方法
              
          
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## apple marketcap.ipynb

      
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                knnkanda
                / apple marketcap.ipynb
            
            
              Last active
              March 18, 2018 06:58
            
              
                20180318bs4
              
          
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## 日本の広告費 2017年媒体別
[pieChart title="日本の広告費2017年 出典:電通"]
['媒体', '売上'],
['インターネット',15094],
['テレビ',19478],
['新聞',5147],
['雑誌',2023],
['ラジオ',1290],
['屋外',3208],
['交通',2002],
['折込',3701],
	%matplotlib inline
	# グラフ化
	import pandas as pd
	# pandasを pdに入れる
	df = pd.read_csv("population.csv")
	#pdの結果をdfに入れる
	df.plot.bar(y=["2016"],x=["prefecture"])
	#dfをbarチャートでプロット、x縦軸に人数 Y横軸に都市名を入れる
	import calendar
	tc= calendar.TextCalendar(firstweekday=0)
	print(tc.prmonth(2018, 4))
	[pieChart title="日本の広告費2017年出典:電通"]
	['媒体', '売上'],
	['インターネット',15094],
	['テレビ',19478],
	['新聞',5147],
	['雑誌',2023],
	['ラジオ',1290],
	['屋外',3208],
	['交通',2002],
	['折込',3701],