Pandas Assume all arrays are NumPy arrays, all Series are Pandas series, etc., unless otherwise specified. Create a series containing odd numbers $3$ to $11.$ Assign just the values of the series to $1.$ Assign just the indices of the series to Q$2.$ Index to obtain the third value of the series. Assign it to Q$3.$ Slice the series to obtain the following:

$[27$; $39$; dtype: int$64]$

Assign it to Q$4.-$ Slice the series to obtain the following: $[$ Sc ie; nc ef; or all; dtype: object $]$ Assign it to Q$8.-$ Create series from the following two dictionaries:

$[\{$A$^\text{'}$: $\text{'}^\text{'},^\text{'}$ B$^\text{'}$:$^\text{'}$ b$^\text{'},^\text{'}$ C$^\text{'}$:$^\text{'}$ C$^\text{'}\}$; $\{$A$^\text{'}$: $1,^\text{'}$ B$^\text{'}$: $2,^\text{'}$ C$^\text{'}$: $3\}]$

Then create a dataframe from those series to obtain the following: Assign it to Q$9.-$ Assign Q$9\text{'}$s row and column indices to $10$ and $11,$ respectively. $-$ Index Q$9$ to obtain the following: $[$ A $1$; B $2$; C $3]$ Name: numbers, dtype: int$64$ Assign it to Q$12.$