Lesson 10-19 Final Review

Question 1

True or False, A try block can be used to detect and handle a file not found error, when trying to open a file for reading.

Answer 1

True

Question 2

True or False, The open() function can be used in order to read as well as write to files.

Answer 2

True

Question 3

True or False, The open() function will read the contents of a file into a variable.

Answer 3

True

Question 4

True or False, The readline() method will return an empty string when there is no more data to read from a file.

Answer 4

True

Question 5

True or False, The string split() method only recognizes the comma as a delimiter

Answer 5

False

Question 6

True or False, The string split() method returns a string result.

Answer 6

True

Question 7

True or False, The result of the open function can be used as part of a for statement to loop over and read each line of a file.

Answer 7

True

Question 8

True or False, The statements in an except block will get executed.

Answer 8

False

Question 9

Which of the following methods can be used to read a line of a file into a string variable?

A.getline()
B.readline()
C.open()
D.all of the above

Answer 9

B.readline()

Question 10

True or False. In order to read a file in Python, the open() function can be used to connect a variable with the file.

Answer 10

True

Question 11

A function that can be used to write data to a file is:
A.write()
B.print()
C.save()

Answer 11

B. print()

Question 12

After all lines of a file have been read, what will a subsequent call to readline() return?
A.
B.”(empty string)
C.0
D.an error

Answer 12

B. “(empty string)

Question 13

Before writing to a text file, what function should be called, to associate a variable with the file?
A.input()
B.print()
C.open()
D.write()

Answer 13

C.open()

Question 14

The primary Python keywords for detecting and handling an exception are:
A.try,except
B.if,else
C.for,while
D.input,print

Answer 14

A. try, except

Question 15

The string returned by the readline() method includes which character at the end of the returned string?
A.\n
B.\t
C.
D.'

Answer 15

A.\n

Question 16

Which function can be used to write items to a text file?
A.print()
B.input()
C.write.Line()
D.save()

Answer 16

A.print()

Question 17

After all lines have been written to a file, what method should be called, to ensure all lines have been saved?
A.open()
B.close()
C.save()
D.end()

Answer 17

B. close()

Question 18

Which statement can be used to associate a text file with a Python variable for subsequent reading?
A.f = open()
B.f = open(‘r’,’input.txt’)
C.f = open(‘input.txt’,’r’)
D.’input.txt’.open()

Answer 18

C.

Question 19

The print() named parameter for specifying what to place between each item is:
A.delim
B.sep
C.csv
D.fieldsep

Answer 19

B.sep.

Question 20

The string split() method returns what type?
A.a string
B.an int
C.a float
D.a list

Answer 20

D.a list

Question 21

An example where Python will generate an exception is:
A. The last item returned from range()
B.A call to open() to read a file that does not exist
C.An infinite loop
D.The use of break in a repetition body

Answer 21

B.

Question 22

The pandas function that can read a comma separated file’s data into a DataFrame is:
A.load_data()

B.read_csv()

C.read_data()

Answer 22

B. read_csv()

Question 23

True or False: When reading data from a file into a DataFrame, the data must be separated by commas.

Answer 23

False

Question 24

True or False: The head() and tail() methods can only show one row of a DataFrame’s data.

Answer 24

False

Question 25

Which can be used to determine the number of columns in a DataFrame? (select the best, most complete, answer) A. the len() function B.the shape property C.the info() method D. the shape property and info method E. the shape property and len() function F.the shape property, info() method, and the len() function

Answer 25

F.

Question 26

The pandas type for storing tabular data is called a: A.DataFrame B.table C.ptable D.Worksheet

Answer 26

A. DataFrame

Question 27

True or False: Python has a built-in table data structure

Answer 27

False

Question 28

True or False: Values in pandas Series cells are limited to int, float, and str types.

Answer 28

False

Question 29

What type of result is returned by the DataFrame head() method? A.DataFrame B.Series C.List D.Dictionary

Answer 29

A.DataFrame

Question 30

What does the DataFrame shape property indicate? A.The number of rows and columns of the DataFrame B.If the DataFrame is rectangular or another shape C.The number of empty cells in the DataFrame D.none of these

Answer 30

A.

Question 31

One approach to determine the number of missing values in a DataFrame is to: A. the info() method B.use the missing method C.use for repetition and count the number of None values D.find the total of each column

Answer 31

A. the info() method

Question 32

True or False: Each DataFrame column optionally has a name

Answer 32

False

Question 33

True or False: For efficiency, pandas uses the Python float type to represent numbers.

Answer 33

Flase

Question 34

What pandas function can be used to read a tabular text file and return a DataFrame? A.read_csv() B.read_data() C.read_text() D.load_data()

Answer 34

A.read_csv()

Question 35

True or False,Pandas main focus is on non-tabular data.

Answer 35

False

Question 36

True or False: The pandas read_csv() function requires files to in CSV (comma-separated value) format.

Answer 36

False

Question 37

In order to sort a DataFrame without creating a new DataFrame, the parameter specified is: A.inplace B.ascending C.newframe D.copydf

Answer 37

A.inplace

Question 38

The tolist() method returns: A. a list from a series B.a series from a list C.a series from a DataFrame D.None of these options

Answer 38

A.

Question 39

If df is a DataFrame, and 'colname' is one of its column names, the expression df['colname'] returns: A.a DataFrame B.a Series C.a Python List D.None of these options

Answer 39

B. a Series

Question 40

If df is a DataFrame, and 'colname1' and 'colname2' are two of its column names, the expression df[['colname1', 'colname2']] returns: A.a DataFrame B.a Series C.a Python List D.None of these options

Answer 40

A. a DataFrame

Question 41

The method to sort a DataFrame is: A.sort() B.sorted() C.sort_values() D.order()

Answer 41

C.sort_values()

Question 42

If df is a DataFrame, and colname is one of its columns, which is a valid filter expression? (Select the best, most complete, answer) A. df[df.colname==100] B. df[df['colname']==100] C.df[colname==100] D. None of the options E. All the options F. Both A&B

Answer 42

F. A&B

Question 43

If df is a DataFrame, and 'rowname' is a name of one of its rows, which expression returns a row of the DataFrame? A. df.iloc['rowname'] B. df.loc['rowname'] C. df.rowname D. None of the options E. All of the options

Answer 43

B.

Question 44

How can values in a pandas Series method be accessed as a Python list? A.using the tolist() method B.using the getlist() method C.using the list constructor D.any of these

Answer 44

A. using the tolist() method

Question 45

For a DataFrame df, how can its first row be accessed? A. df.iloc[0] B. df[0] C.df.loc[0] D. any of these

Answer 45

A.

Question 46

If df is a pandas DataFrame with a column named 'Sales', what type of result is returned by df['Sales'] ? A.pandas Series B.a list C.a dictionary D.a pandas DataFrame

Answer 46

A. Pandas Series

Question 47

For several methods, pandas provides the ____named parameter, to indicate whether a new DataFrame is returned, or an existing DataFrame is updated.

Answer 47

inplace

Question 48

If df is a pandas DataFrame with a column named 'Sales', what expression is an example of a filter expression? A. df[df.Sales > 100] B. df.filter('Sales > 100') C. [df.Sales > 100] D. filter(Sales > 100)

Answer 48

A.

Question 49

How can one row of a DataFrame be accessed? A. using the .loc[] accessor B. using the column name C. using curly braces D. none of these

Answer 49

A.

Question 50

Which DataFrame method can be used with for, to iterate over the rows of a DataFrame? A.iterrows() B.row() C.for() D.index()

Answer 50

A. iterrows

Question 51

What is the purpose of descriptive analytics in an analytics project? A.To predict future outcomes B.To prescribe actions based on data analysis C.To summarize and understand what has happened or is happening D.To transform and standardize data

Answer 51

C.

Question 52

What is a reason for standardizing data? A.To predict future outcomes accurately B.Enable meaningful comparisons regardless of scale of the original data C.To summarize data and understand trends D.To identify outliers in the dataset

Answer 52

B.

Question 53

What does the shape attribute of a DataFrame tell you? A.The size of the DataFrame memory B.The number of rows and columns in the DataFrame C.The data types of the columns in the DataFrame D.The unique values in the DataFrame

Answer 53

B.

Question 54

What is the general syntax to use the describe() function on a column? A.dataframe.describe(column_name) B.column_name.describe() C.describe(dataframe, column_name) D.dataframe['column_name'].describe()

Answer 54

D.

Question 55

What is the purpose of the describe() function? A.Calculate the mean, median, and mode of a column B.Generate graphical analysis such as bar charts and histograms C.Provide summary statistics of a DataFrame D.Apply advanced transformations to data

Answer 55

C.

Question 56

What does the describe() method provide for a numerical column? A.mean, median B.minimum and maximum values C.standard deviation and quartiles D.All of the options E.None of the options

Answer 56

D.

Question 57

What does the unique() function in pandas do? A.Returns the count of unique values in a column B.Returns the unique values in a column C.Returns the most frequent value in a column D.Returns the average of unique values in a column

Answer 57

B. Returns the unqiue values in a column

Question 58

What type of analytics tells us what is likely to happen next? A.Descriptive Analytics B.Predictive Analytics C.Prescriptive Analytics D.Explanatory Analytics

Answer 58

B.

Question 59

How can you read an Excel file into a pandas DataFrame? A.pd.read_excel('filename.xlsx') B.pd.read_csv('filename.csv') C.pd.read_file('filename')

Answer 59

A.

Question 60

How can you insert a new column into a specific position in a DataFrame? A.add_column() B.insert() C.new_column() D.append_column()

Answer 60

B.insert()

Question 61

What is the purpose of the tail() function in pandas? A.Group data based on specified fields B.Display the first few rows of the DataFrame C.Calculate summary statistics D.Display the last few rows of the DataFrame

Answer 61

D.

Question 62

What does the shape function return for a DataFrame? A.Total number of rows and columns B.Number of unique values in each column C.Summary statistics for each column D.The first few rows of the DataFrame

Answer 62

A.

Question 63

Using the sort_values() method, how can you sort the results of a groupby operation in descending order? A.By setting the ascending parameter to True B.By using the sort_values() function C.By using the get_group() function D.By setting the ascending parameter to False

Answer 63

D

Question 64

How can you set the index of a DataFrame to a specific column? A.Using the groupby() function B.Using the sort_values() function C.Using the shape() function D.Using the set_index() function

Answer 64

D.

Question 65

What is the purpose of the agg() function in pandas? A.Sort data in ascending order B.Group data based on specified fields C.Calculate summary statistics D.Filter data based on conditions

Answer 65

C.

Question 66

What is the purpose of the groupby() function in pandas? A.Sort data in ascending order B.Group rows of data based on specified fields C.Calculate summary statistics D.Filter data based on conditions

Answer 66

B.

Question 67

What does the dropna parameter do in the groupby() method? A.Controls whether to show observed values for categorical groupers B.Controls whether to drop NA values together with row/column C.Controls whether to sort group keys D.Controls whether to return object with group labels as the index

Answer 67

B.

Question 68

What is the default sorting order of sort_values() in pandas? A.Descending Order B.Randome Order C.Ascending Order D.No specfic order

Answer 68

C.

Question 69

True or False: The groupby() function returns a new DataFrame containing the grouped data.

Answer 69

False

Question 70

To sort a DataFrame based on one or more columns, we can use the sort_values() function with the parameter by='column_name' and specify the column(s) we want to ____ by.

Answer 70

sort

Question 71

What parameter of the groupby() method is used to determine the groups for grouping a DataFrame in Python? A.axis B.asindex C.by D.level

Answer 71

C. by

Question 72

By default, which of the following statements is true about sort_values() in pandas? A.It modifies the original DataFrame B.It can only sort by a single column. C.It returns a new DataFrame with the sorted data. D.It requires the columns to be of string data type.

Answer 72

C

Question 73

In the sort_values() function, which sorting algorithm is the default choice for the kind parameter? A.quicksort B.mergesort C.heapsort D.stable

Answer 73

A. quicksort

Question 74

In the groupby() method, if the sort parameter is set to False, what does it affect? A.The order of observations within each group B.The order of rows within each group C.The order of columns within each group D.The order of group keys

Answer 74

D.

Question 75

What is the purpose of the sort_values() method in pandas? A.To sort a DataFrame based on the values along a specified axis. B.To sort a DataFrame based on the index labels. C.To sort a DataFrame based on column levels. D. To sort a DataFrame based on multiple sort orders.

Answer 75

A.

Question 76

The groupby() function in Pandas is used to ___ a DataFrame based on one or more columns

Answer 76

group

Question 77

What is the purpose of the as_index parameter in the groupby() function? A.It specifies the column(s) to group by B.It determines whether the groups should be treated as separate dataframes. C. It determines the sorting order of the groups D.It sets the index of the resulting grouped DataFrame

Answer 77

D

Question 78

Which parameter in the sort_values() function specifies the name or list of names to sort by? A.axis B.by C.ascending D.inplace

Answer 78

B. by

Question 79

What is the default value for the ascending parameter? A.False B.True C.None D.'quicksort'

Answer 79

B.True

Question 80

True or False:The groupby() function can be applied to multiple columns by passing a list of column names to the by parameter, like df.groupby(by = ['column1', 'column2']).

Answer 80

True

Question 81

To sort a DataFrame in descending order, we can set the parameter ascending of the sort_values() function to ___.

Answer 81

False

Question 82

What does the dtypes() method return for a pandas DataFrame? A.The number of rows in the DataFrame B.The number of columns in the DataFrame C.The data types of the columns in the DataFrame D.The index labels of the DataFrame

Answer 82

C.

Question 83

Which method is used to check whether a value in a pandas DataFrame is null or missing? A.isnull() B.dtypes() C.fillna() D.replace()

Answer 83

A.isnull()

Question 84

What does the replace() method do in pandas? A.Replaces all values in a DataFrame with a specified value B.Replaces specific values in a DataFrame with other specified values C.Replaces missing values with a specified value in a DataFrame D.Replaces the data types of columns in a DataFrame

Answer 84

B.

Question 85

For numeric columns, pandas uses what value to represent missing data? a) Python None b) empty string c) NumPy NaN (a) and (c) (a) and (b) All of the options None of the options

Answer 85

C. NumPy Nan

Question 86

What method can be used to locate DataFrame cells with missing data? (Select the best, most complete, answer) a) ismissing() b) isna() c) novalue() (a) and (b) (a) and (c) All of the options None of the options

Answer 86

B. isna()

Question 87

What does the isnull() function in Python return? A. True if the value is null, False otherwise B.True if the value is non-null, False otherwise. C. True if the value is missing, False otherwise. D. None of these options

Answer 87

A.

Question 88

Which method is designed to replace missing values in a pandas DataFrame with a specified value? (Select the most efficient method) A. isnull() B. dtypes() C. filna() D. replace()

Answer 88

C.

Question 89

Which method can be used for replacement when the to_replace parameter is a scalar, list, or tuple, and the value parameter is None? A. 'pad' B. 'ffill' C. 'bfill' D. All of the above E. None of the above

Answer 89

D.

Question 90

If the limit parameter is set to a value greater than 0 in the fillna() function, what does it indicate? A. The maximum number of entries along the entire axis where NaNs will be filled B. The maximum number of consecutive NaN values to forward/backward fill C. The maximum number of columns to fill with NaN values D. The maximum number of rows to fill with NaN values

Answer 90

B.

Question 91

What is the default value of the inplace parameter in the replace() function? A.True B.False C.None D.It depends on context

Answer 91

B. False

Question 92

Which method involves imputing missing values with the overall mean of the feature? A.Regression replacement B.Median replacement C.Use prior knowledge to estimate the value D.Mean replacement

Answer 92

D.

Question 93

Which method involves replacing missing values with an educated guess based on the analyst's expertise in the area? A. Use prior knowledge to estimate the value B. Median replacement C.Mean replacement D.Regression replacement

Answer 93

A.

Question 94

What should be done regardless of the method used for missing data? (a) Create a new feature indicating if missing data was imputed (b) Repeat the analysis with and without missing data (c) Use regression replacement for imputing missing values (d) Remove all records with missing data (e)All of the options (f) (a) and (b) (g) (a) and (c) (h) (a) and (d)

Answer 94

F.

Question 95

What does the fillna() function in pandas return when the inplace parameter is set to True? A.The original DataFrame with missing values filled B.A new DataFrame with missing values filled C.None D.An error will be raised if inplace is set to Tru

Answer 95

C.

Question 96

Which parameter in the fillna() function specifies the method to use for filling missing values? A.values B.method C.inplace D.limit

Answer 96

B. Method

Question 97

Which parameter of the replace() function in Python's pandas library is used to specify the values that will be replaced? A.to_replace B.value C.inplace D.limit

Answer 97

A.

Question 98

Which method can be used to process each value of a given column? a) each() b) apply() c) lambda()

Answer 98

B. apply()

Question 99

A category column can be created using which method? A. category() B.astype() C. unique()

Answer 99

B.astype()

Question 100

Which can be used to review the datatype of a DataFrame Column A. the dtype Property B.the info() method C. the python type() function D. Both A&B

Answer 100

D. Both A&B

Question 101

The method to display the set of values occurring in a data frame column is: A. occuring() B. unique() C. tolist()

Answer 101

B. unique()

Question 102

What method can be used to see which rows have duplicate values within a certain column? A.the is_unqiue property B.the duplicated() method C.the isna() method

Answer 102

B.

Question 103

Which can be used to see if a column has unique values? A.the is_unqiue property B.the duplicated() method C.the info() mehtod

Answer 103

A. the is_unqiue property

Question 104

Assume a Python list has valid values for a given data frame column. To create a new data frame column indicating which rows have valid values, we can use: A. the split method() B. a lambda method with an in expression C. list slicing

Answer 104

B.

Question 105

New string columns can be created from a single data frame column using which method? A.multicol() B.split() C.astype()

Answer 105

B. split()

Question 106

True or False: A lambda function can be used in combination with the pandas apply() method.

Answer 106

True

Question 107

The pandas DataFrame method that can be used to filter out duplicate values is: A. drop_duplicates() B. filter_repeats() C. drop_matched() D. filter_matched()

Answer 107

A.

Question 108

Which is not a rule for read_csv() as related to numbers: A. If a column has integer values and some missing values, pandas will use the Python int type or None for the values in the column B.If any value of a column is non-numeric, the column's values are represented as Python types as opposed to NumPy types C. If all values in a column are numeric and any value has decimal places, the column is represented as a NumPy float

Answer 108

A.

Question 109

For a pandas DataFrame df, which expression can be used to find rows with missing values for the column named id? A. df[df.id.isna()] B. df.id.isna C. df.id.False D. df.missing('id')

Answer 109

A.

Question 110

Which pandas method can generate category labels based on numeric ranges? A.cut() B.range() C.category() D.snip()

Answer 110

A. cut()

Question 111

Which pandas Series method generate the set of unique values in a Series? A.unique() B.distinct() C.keys() D.values()

Answer 111

A.uniue()

Question 112

Which pandas method can create numeric values? A.to_numeric B.number() C.gennum() D.asfloat()

Answer 112

A.to_numeric

Question 113

Which pandas method can be used to filter out rows with missing values? a) dropna() b) filter() c) isnull() d) exclude()

Answer 113

A.dropna()

Question 114

Which pandas method can create Timestamp values? A.to_datetime() B.time() C.gentime() D.astime()

Answer 114

A.to_datetime()

Question 115

Which is a valid pandas expression, to create a new column in percent from another column in decimal? A. df['tax_pct'] = df['tax_dec'] * 100 B. df['tax_pct'] *= 100 C. df['tax_pct'] = df.scale('tax_dec', 100) D. df['tax_pct'] = df.tax_dec % 100

Answer 115

A.

Question 116

True or False: For data preparation, replacing original data as opposed to creating new data is generally preferred.

Answer 116

False

Question 117

What type of argument is provided to the pandas apply() method? ​ A. function B.string C.list D.dictionary

Answer 117

A. function

Question 118

Which pandas Series method can be used to generate several string columns from a single column A.str.split() B.generate() C.expand() D.tokenize()

Answer 118

A.str.split()

Question 119

Inter-field validity checks can be implemented with A. Both of these B. DataFrame filter expression C. the DataFrame apply()

Answer 119

A. Both of these

Question 120

The Series method to return which rows have duplicated values is: A.duplicated() B.repeated() C.nonunique() D.not_unqiue()

Answer 120

A. Duplicated()

Question 121

What pandas Series property indicate the type used for the data? A.dtype B.type C.info D.none of these

Answer 121

A. dtype

Question 122

Which pandas method can be used to create a column with a particular NumPy datatype size? A.astype() B.type() C.memsize() D.minimize()

Answer 122

A.astype()

Question 123

Which pandas DataFrame method can be used to generate a new DataFrame with a different organization of the data? A. All of these B. Melt() C.transpose() D. pivot()

Answer 123

A. All of these

Question 124

Which Series property indicates if its values are distinct? a) is_unqiue b) distinct c) unique d) is_distinct

Answer 124

A. is_unqiue

Question 125

What is the purpose of the axis parameter in the concat() method? A.It specifies the columns to be concatenated. B.It specifies the rows to be concatenated. C.It specifies the axis to concatenate along. D.It renames the index labels of the concatenated DataFrame.

Answer 125

C.

Question 126

Which parameter of the merge() method specifies the type of merge to be performed? a) right b) how c) on d) validate

Answer 126

B. how

Question 127

Which of the following statements about the concat() method in pandas is correct? (select all that apply) A.concat() is used to combine two or more DataFrames vertically B.concat() is used to combine two or more DataFrames horizontally C.concat() is used to sort a DataFrame in ascending order D.concat() is used to rename columns in a DataFrame.

Answer 127

A&B

Question 128

Which parameter of the DataFrame.join() method specifies the columns to join on? A.other B.on C.how D.validate

Answer 128

B.on

Question 129

What does the indicator parameter of the merge() method do? A. Adds a column to the output DataFrame indicating the source of each row B.Sorts the join keys lexicographically in the result DataFrame C. Specifies the column names to be added as suffixes to overlapping columns D. Determines whether a copy of the merged objects is created

Answer 129

A.

Question 130

What is the default value for the 'how' parameter in the DataFrame.join() method? A.left B.right C.outer D.inner

Answer 130

A.left

Question 131

Which of the following statements is true about the pandas.DataFrame.join method? (select all that apply) A.The join method performs a merge operation based on the index labels of the two DataFrames. B.The join method performs an inner join by default. C.The join method supports joining on multiple columns. D. The join method modifies the original DataFrame in-place

Answer 131

A&C

Question 132

Which parameter determines the axis to concatenate along in the pandas.concat function? A. join B.axis C.ignore_index D.keys

Answer 132

B. axis

Question 133

When concatenating all Series along the index (axis=0) in the pandas.concat function, what type of object is returned? A. Series B. DataFrame C. Mutliindex D. ndarray

Answer 133

A. Series

Question 134

What is the default join type used in the merge() function in Pandas? A.inner join B.left join C.right join D.Outer join

Answer 134

A. Inner join

Question 135

What does the 'sort' parameter of the DataFrame.join() method control? A.Sorting the resulting joined DataFrame by the join key B.Sorting the columns of the left frame C.Sorting the columns of the right frame D.Sorting the index of the resulting joined DataFrame

Answer 135

A.

Question 136

Which parameter of the DataFrame.join() method specifies the columns to join on? A.other B.on C.how D.issuffix

Answer 136

B. on

Question 137

Which parameters in the merge() function specifies the column(s) to merge on? A. left_on B. right_on C. on D. by E. how F. suffixes

Answer 137

A,B,C

Question 138

What is the default value for the join parameter in the pandas.concat function? A.inner B.outer C.left D.right

Answer 138

B.outer

Question 139

What is the default value for the 'how' parameter of the DataFrame.join() method? A.left B.right C.outer D.inner

Answer 139

A. left

Question 140

In a left join operation using merge(), what happens to the unmatched rows from the right DataFrame? A.They are included in the result with NaN values B.They are dropped from the result C.They are duplicated in the result D.They are excluded from the merge operation

Answer 140

A.

Question 141

If the ignore_index parameter is set to True in the pandas.concat function, what happens to the index values along the concatenation axis? ​ A.They are dropped silently B.They are replaced with sequential numbers. C.They are kept as they are. D.They are sorted in ascending order.

Answer 141

B

Question 142

Which method is used to combine DataFrame or named Series objects with a database-style join? A.concat() B.join() C.merge() D.append(

Answer 142

C.merge()

Question 143

In order to visualize data in a pandas DataFrame, you can use: A.chart() method B.plot() method C.visualize() method D.all of the above

Answer 143

B. plot() method

Question 144

To review the distribution of data, the DataFrame plot() method's kind parameter can be set to: A.'dist' B.'hist' C.'bin' D.None of the above

Answer 144

B.'hist'

Question 145

The named parameter of the DataFrame plot() method to select the type of chart is called: A.type B.kind C.chart D.none of the above

Answer 145

B.kind

Question 146

In order to refine a pandas chart, you can use which package? A.pychart B.Matplotlib C.numpy D.None of the above

Answer 146

B.Matplotlib

Question 147

Which pandas method can be used to generate a chart? A.chart() B.visualize() C.plot() D.Any of these

Answer 147

C.plot()

Question 148

When generating a scatter chart using seaborn, which named parameters must be set? A.x,y B.horiz,vert C.indep,dep D.None of these

Answer 148

A. x,y

Question 149

True or False, Matplotlib statements can be used to refine a chart generated by pandas

Answer 149

True

Question 150

What argument(s) can be provided to the pandas plot() method to generate a stacked bar chart? ​ A. kind='stacked_bar' B.kind='bar', stacked=True C.type='bar', subtype='stacked' D.type='stacked bar'

Answer 150

B.

Question 151

To generate a dual Y axis line chart, which named parameter is passed to the pandas() plot() method? A. dualy B. y2 C. secondary_y D. None of these

Answer 151

C. secondary_y

Question 152

The DataFrame plot() method has the named parameter ____________ , which is set to get a particular type of chart. A.type B.chart C.chart_type D.kind

Answer 152

D. kind

Question 153

When generating a histogram with pandas plot(), which named parameter controls the number of bins? A.bins B.hiswidth C.count D.width

Answer 153

A. bins

Question 154

When creating a chart, by default pandas generates a line chart with the DataFrame's ____ for the X axis.

Answer 154

Index

Question 155

When generating a scatter chart using pandas, which named parameters must be set? A.x,y B.horiz,vert C.indep, dep D.None of these

Answer 155

A. x,y