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NEW QUESTION: 1
次の形式のsalesDataという名前のPythonデータフレームがあります。
データフレームは、次のように長いデータ形式にピボット解除する必要があります。
変換を実行するには、Pythonのpandas.melt（）関数を使用する必要があります。
コードセグメントをどのように完成させる必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: dataFrame
Syntax: pandas.melt(frame, id_vars=None, value_vars=None, var_name=None, value_name='value', col_level=None)[source] Where frame is a DataFrame Box 2: shop Paramter id_vars id_vars : tuple, list, or ndarray, optional Column(s) to use as identifier variables.
Box 3: ['2017','2018']
value_vars : tuple, list, or ndarray, optional
Column(s) to unpivot. If not specified, uses all columns that are not set as id_vars.
Example:
df = pd.DataFrame({'A': {0: 'a', 1: 'b', 2: 'c'},
'B': {0: 1, 1: 3, 2: 5},
'C': {0: 2, 1: 4, 2: 6}})
pd.melt(df, id_vars=['A'], value_vars=['B', 'C'])
A variable value
0 a B 1
1 b B 3
2 c B 5
3 a C 2
4 b C 4
5 c C 6
References:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.melt.html

NEW QUESTION: 2
仮想ネットワークを含むAzureサブスクリプションがあります。仮想ネットワークには、次の表に示すサブネットが含まれています。

サブスクリプションには、次の表に示す仮想マシンが含まれています。

すべての仮想マシンに対してジャストインタイム（JIT）VMアクセスを有効にします。
JITで保護されている仮想マシンを特定する必要があります。
どの仮想マシンを特定する必要がありますか？
A. VM1、VM2、VM、およびVM4
B. VM1およびVMSのみ
C. VM4のみ
D. VM1.VM3。およびVM4のみ
Answer: C

NEW QUESTION: 3
文章を完成させるには、回答領域で適切なオプションを選択してください。

Answer:
Explanation:

NEW QUESTION: 4
顧客は、次の仕様でコンピューターを作成しました。
シングルヘキサコアプロセッサ
8GB DDR4メモリ
256GB SSDドライブ
内蔵グラフィックカード
32ビットWindows OS
オーディオ編集ソフトウェア
コンピュータは動作しているようですが、OSは3.5GBのRAMしか使用できないと報告しています。次のうちどれが問題を修正しますか？
A. デュアルヘキサコアプロセッサ
B. 16GB DDR4メモリ
C. 64ビットWindows OS
D. 512G​​B SSDドライブ
Answer: C