Create a function named CustomFig that takes a DataFrame with a mix of categorical and numerical variables as input. The purpose of this function is to generate a figure consisting of two rows: the first row will display bar charts for all categorical variables, while the second row will display histograms for all numerical variables.

To accommodate cases where there are unequal number of columns such as $3$ categorical and $2$ numerical, the function dynamically removes any unused axes in each row. Additionally, the function sets the spacing between rows and subplots using wspace$=0\mathrm{.}35$ and hspace$=0\mathrm{.}6$ to ensure proper visual clarity. the solution should be like this below def CustomFig$($dataframe$)$:

pass

data $=\{$

'CatColumn$1\text{'}$: $[\text{'}$A$\text{'},\text{'}$B$\text{'},\text{'}$A$\text{'},\text{'}$B$\text{'},\text{'}$A$\text{'},\text{'}$A$\text{'},\text{'}$B$\text{'},\text{'}$B$\text{'},\text{'}$A$\text{'},\text{'}$B$\text{'}],$

'CatColumn$2\text{'}$: $[\text{'}$X$\text{'},\text{'}$Y$\text{'},\text{'}$X$\text{'},\text{'}$X$\text{'},\text{'}$Y$\text{'},\text{'}$Y$\text{'},\text{'}$Y$\text{'},\text{'}$X$\text{'},\text{'}$X$\text{'},\text{'}$Y$\text{'}],$

'CatColumn$3\text{'}$: $[\text{'}$cat$1\text{'},$ 'cat$1\text{'},$ 'cat$1\text{'},$ 'cat$1\text{'},$ 'cat$2\text{'},$ 'cat$2\text{'},$ 'cat$3\text{'},$ 'cat$3\text{'},$ 'cat$3\text{'},$ 'cat$3\text{'}],$

'NumColumn$1\text{'}$: np$.$random.randn$(10),$

'NumColumn$2\text{'}$: np$.$random.randn$(10),$

$\}$

# Creating the DataFrame

df$2=$ pd$.$DataFrame$($data$)$

# Displaying the DataFrame