Are you a python programmer who loves to develop software in python language? If so, try out these pandas quiz questions with answers and check how well you know about the python library. Pandas is a python library software used for data manipulation and analysis. It is a fast, flexible, and easy-to-use tool. If you want to make your basics See morestrong in python language, you surely need to pass this quiz with 80% marks. So, take up the test and see if you are a Pythoneer.
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
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Intersection
Union
Total
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Structured ndarray
Series
DataFrame
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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
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DataFrame.from_items
DataFrame.from_records
DataFrame.from_dict
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DataFrame.from_items
DataFrame.from_records
DataFrame.from_dict
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Getting columns
Setting columns
Deleting columns
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Import pandas
Import pandas as p
From pandas import *
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1 dimensional array
2 dimensional array
3 dimensional array
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To create a GUI programming
To create a database
To create a High level array
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0
1
2
3
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1 dimensional array
2 dimensional array
3 dimensional array
None of the above
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Series
DataFrame
Both of the above
None of the above
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Read_json
Read_pickle
Read_hdf
Read_csv
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Read_csv function
Pivot_table function
Apply function
Merge function
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To_clipboard
To_text
To_stata
To_msgpack
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Moving window statistics is present in pandas.
Pandas have a set of array data structures which are labelled.
Pandas consists of an integrated group by engine for transforming and aggregating data sets.
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Size, value
Value,size
Semantic, size
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A.append(b)
A.extend(b)
Any one of the above
None of the above
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True
False
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True
False
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True
False
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True
False
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True
False
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True
False
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True
False
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True
False
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True
False
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False
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