How familiar are you with Python Pandas? If pretty much, you may already know that it a great choice for data science and analysis. To learn in detail, take the online quiz to see how well do you know Python Panda and learn more as you play.
A python dict
An ndarray
A scalar value
All of the mentioned
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Structured ndarray
Series
DataFrame
All of the mentioned
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Import pandas as pd
Import panda as py
Import pandaspy as pd
All of the mentioned
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In
Out
Elseif
None of the mentioned
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Pandas consist of set of labeled array data structures
Pandas consist of an integrated group by engine for aggregating and transforming data sets
Pandas consist of moving window statistics
All of the mentioned
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Size, value
Semantic, size
Value, size
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A DataFrame is like a fixed-size dict in that you can get and set values by index label
Series can be be passed into most NumPy methods expecting an ndarray
A key difference between Series and ndarray is that operations between Series automatically align the data based on label
None of the mentioned
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If data is a list, if index is passed the values in data corresponding to the labels in the index will be pulled out
NaN is the standard missing data marker used in pandas
Series acts very similarly to a array
None of the mentioned
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Series is 1D labeled homogeneously-typed array.
DataFrame is general 2D labeled, size-mutable tabular structure with potentially heterogeneously-typed columns.
Panel is generally 2D labeled, also size-mutable array.
None of the mentioned
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