Function to drop missing values?

(a)  

The function df. (a)   in Pandas gives summary statistics of numerical columns.

(a)   is a technique of reducing dimensionality by creating new features (like PCA).

The function np. (a)   (0,1,5) generates 5 equally spaced numbers between 0 and 1.
(write the function name)

The function (a)   is used to display the legend of the plot.
(give the function name without . and (), example: plt scatter)

The function df.isnull().sum() is used to count the number of (a)   values in each column.

To concatenate two DataFrames vertically, we use pd. (a)   ([df1, df2]).

np.random. (a)   (3,3) generates a 3×3 matrix of random numbers between 0 and 1.

To display multiple plots together, we use plt. (a)   ().

The method df. (a)   () gives the count of unique values per column.
Answer:

The term (a)   refers to data points that significantly deviate from others.

The method df. (a)   () sorts a DataFrame by index instead of values.

(give the answer without underscore "_" )

To check the data type of elements in a NumPy array, we use array. (a)   .

The function np. (a)   (5) creates values from 0 up to but not including 5.

The function np.mean(array, axis= (a)   ) computes mean along the columns.

The function plt. (a)   () is used to set the label of the y axis.

If the mean < median, the data distribution is said to be (a)   skewed.

To replace specific values in a column, we use df['col']. (a)   (old, new).

• The attribute array. (a)   gives the total number of elements in the array.