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NEW QUESTION: 1
The ''SAP OS/DB Migration Check'' is mandatory for each
A. Test system
B. Development system
C. Production system
D. Quality assurance system
Answer: C

NEW QUESTION: 2
Refer to the exhibit.

Fill in the blank to complete the query parameter and value so that the result set is returned in reverse chronological order (most recent first) based on when message were entered.

Answer:
Explanation:
?sortBy=lastactivity

NEW QUESTION: 3
Which of the following criteria influence picking location determination? Note: There are 3 correct
answers to this question.
A. The customer material number
B. The Shipping Point
C. Storage Conditions
D. The plant
E. The route
Answer: B,C,D

NEW QUESTION: 4
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で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了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ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