datawrangler.util

datawrangler.util.btwn(x, a, b)[source]

Test whether the values of an array (or scalar) are between the given bounds (inclusive)

Parameters

param x:: a numeric scalar or Array
param a:: lower bound– a numeric scalar or an Array of the same shape as x
param b:: upper bound– a numeric scalar or an Array of the same shape as x

Returns

return:: True if the values in the given Array are between the given bounds (inclusive), and False otherwise.

datawrangler.util.depth(x)[source]

Determine the maximum depth of a list or array (i.e., maximum amount of nesting, across all elements)

Parameters

param x:: an array-like object

Returns

return:: The depth of the object

datawrangler.util.array_like(x, force_literal=False)[source]

Determine whether an object can be treated as a Numpy Array for wrangling purposes

Parameters

param x:: the object
param force_literal:: specify whether strings should be interpreted strictly (if force_literal == True) or whether they may refer to files or URLs (if force_literal == False). Default: False

Returns

return:: True (if the object can be treated like an Array) or False otherwise

datawrangler.util.dataframe_like(x, debug=False)[source]

Determine whether an object can be treated as a Pandas DataFrame for wrangling purposes

Parameters

param x:: the object
param debug:: internal flag (default: False) that prints out why an object is not dataframe like

Returns

return:: True (if the object can be treated like a DataFrame) or False otherwise