Seriesできること

import pandas as pd

1	import pandas as pd

Contents

1 ■通常の辞書
2 >>> banana 3 orange 2 dtype: int64
3 ■辞書どうしの結合
4 ■条件抽出　フィルタリング
5 ■インデックス参照,key,キーから取得
6 ■値,value,キーワードから取得
7 apple 10 banana 8 kiwifruit 3 dtype: int64

■通常の辞書

<span class="cm-variable">fruits</span> = {<span class="cm-string">"banana"</span>: <span class="cm-number">3</span>, <span class="cm-string">"orange"</span>: <span class="cm-number">2</span>}
<span class="cm-builtin">print</span>(<span class="cm-variable">pd</span>.<span class="cm-property">Series</span>(<span class="cm-variable">fruits</span>))

fruits = {"banana": 3, "orange": 2}

print(pd.Series(fruits))

`>>> banana 3 orange 2 dtype: int64`

■辞書どうしの結合

<span role="presentation">index = ["cup", "chair", "table", "kagaku", "pictre"]
data = [7012, 9406, 9609, 3824,9701]

</span>

index = ["cup", "chair", "table", "kagaku", "pictre"]

data = [7012, 9406, 9609, 3824,9701]

<span role="presentation"><span class="cm-variable">series</span> = <span class="cm-variable">pd</span>.<span class="cm-property">Series</span>(<span class="cm-variable">data</span>, <span class="cm-variable">index</span>=<span class="cm-variable">index</span>)</span>

1	<span role="presentation"><span class="cm-variable">series</span> = <span class="cm-variable">pd</span>.<span class="cm-property">Series</span>(<span class="cm-variable">data</span>, <span class="cm-variable">index</span>=<span class="cm-variable">index</span>)</span>

<span role="presentation"></span>print(<span class="cm-variable">series</span>)&gt;&gt;&gt;

1	<span role="presentation"></span>print(<span class="cm-variable">series</span>)>>>

cup       7012
chair     9406
table     9609
kagaku    3824
pictre    9701
dtype: int64

cup 7012

chair 9406

table 9609

kagaku 3824

pictre 9701

dtype: int64

■条件抽出　フィルタリング

<span role="presentation"><span class="cm-comment"># series内の要素のうち、値が5以上10未満の要素を含むSeriesを作り、seriesに再代入</span></span>

1	<span role="presentation"><span class="cm-comment"># series内の要素のうち、値が5以上10未満の要素を含むSeriesを作り、seriesに再代入</span></span>

<span role="presentation"><span class="cm-variable">series</span> = <span class="cm-variable">series</span>[<span class="cm-variable">series</span> <span class="cm-operator">&gt;</span>= <span class="cm-number">5</span>][<span class="cm-variable">series</span> <span class="cm-operator">&lt;</span> <span class="cm-number">10</span>]</span>

series = series[series >= 5][series < 10]

<span role="presentation"></span><span role="presentation"><span class="cm-builtin">print</span><span class=" CodeMirror-matchingbracket">(</span><span class="cm-variable">series</span><span class=" CodeMirror-matchingbracket">)</span></span>

1	<span role="presentation"></span><span role="presentation"><span class="cm-builtin">print</span><span class=" CodeMirror-matchingbracket">(</span><span class="cm-variable">series</span><span class=" CodeMirror-matchingbracket">)</span></span>

■インデックス参照,key,キーから取得

<span role="presentation"><span class="cm-comment"># seriesの2から4までの3つをitems1に代入

index = ["apple", "orange", "banana", "strawberry", "kiwifruit"]
data = [10, 5, 8, 12, 3]
series = pd.Series(data, index=index)</span></span>

# seriesの2から4までの3つをitems1に代入

index = ["apple", "orange", "banana", "strawberry", "kiwifruit"]

data = [10, 5, 8, 12, 3]

series = pd.Series(data, index=index)

items1 = series[1:4] 結果 orange 5 banana 8 strawberry 12 dtype: int64

■値,value,キーワードから取得

index = [“apple”, “orange”, “banana”, “strawberry”, “kiwifruit”]
data = [10, 5, 8, 12, 3]
series = pd.Series(data, index=index)

<span role="presentation"><span class="cm-variable">items2</span>=<span class="cm-variable">series</span>[[<span class="cm-string">"apple"</span>,<span class="cm-string">"banana"</span>,<span class="cm-string">"kiwifruit"</span>]]</span>

				1

						<span role="presentation"><span class="cm-variable">items2</span>=<span class="cm-variable">series</span>[[<span class="cm-string">"apple"</span>,<span class="cm-string">"banana"</span>,<span class="cm-string">"kiwifruit"</span>]]</span>

<span role="presentation">​</span>

				1

						<span role="presentation">​</span>

結果

				1

						結果

apple 10
banana 8
kiwifruit 3
dtype: int64

■ソート

index = [“a”, “b”, “c”, “d”, “e”]
data = [10, 5, 8, 12, 3]
series = pd.Series(data, index=index)

# seriesをインデックスに基づいてアルファベット順にソートしたSeriesをitems1に代入
items1 = series.sort_index()

# seriesをデータについて値の大きさを昇順にソートしたSeriesをitems2に代入
items2 = series.sort_values()

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​ ■通常の辞書

>>> banana 3 orange 2 dtype: int64

■辞書どうしの結合

■条件抽出 フィルタリング

■インデックス参照,key,キーから取得

■値,value,キーワードから取得

apple 10 banana 8 kiwifruit 3 dtype: int64

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■通常の辞書

`>>> banana 3 orange 2 dtype: int64`

■条件抽出　フィルタリング

apple 10
banana 8
kiwifruit 3
dtype: int64

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