plottingutils
#
Useful code snippets for making commonly used plots in Raphtory.
Attributes#
motif_im_dir = Path(__file__).parents[1].absolute().as_posix() + '/motif-images/'
module-attribute
#
Functions#
global_motif_heatplot(motifs, cmap='YlGnBu', **kwargs)
#
Out-of-the-box plotting of global motif counts corresponding to the layout in Motifs in Temporal Networks (Paranjape et al)
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
motifs
|
list | ndarray
|
1 dimensional length-40 array of motifs, which should be the list of motifs returned from the |
required |
**kwargs
|
arguments to |
{}
|
Returns:
| Type | Description |
|---|---|
Axes
|
ax item containing the heatmap with motif labels on the axes. |
to_motif_matrix(motifs, data_type=int)
#
Converts a 40d vector of global motifs to a 2d grid of motifs corresponding to the layout in Motifs in Temporal Networks (Paranjape et al)
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
motifs
|
list | ndarray
|
1 dimensional length-40 array of motifs. |
required |
Returns:
| Type | Description |
|---|---|
ndarray
|
6x6 array of motifs whose ijth element is M_ij in Motifs in Temporal Networks (Paranjape et al). |
human_format(num)
#
Converts a number over 1000 to a string with 1 d.p and the corresponding letter. e.g. with input 24134, 24.1k as a string would be returned. This is used in the motif plots to make annotated heatmap cells more concise.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
num
|
int
|
number to be abbreviated |
required |
Returns:
| Type | Description |
|---|---|
str
|
number in abbreviated string format. |
cdf(observations, normalised=True)
#
Returns x coordinates and y coordinates for a cdf (cumulative density function) from a list of observations.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
observations
|
list
|
list of observations, should be numeric |
required |
normalised
|
bool
|
if true, y coordinates normalised such that y is the probability of finding a value less than or equal to x, if false y is the number of observations less than or equal to x. Defaults to True. |
True
|
Returns:
| Type | Description |
|---|---|
Tuple[ndarray, ndarray]
|
the x and y coordinates for the cdf |
ccdf(observations, normalised=True)
#
Returns x coordinates and y coordinates for a ccdf (complementary cumulative density function) from a list of observations.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
observations
|
list
|
list of observations, should be numeric |
required |
normalised
|
(bool, optional)
|
Defaults to True. If true, y coordinates normalised such that y is the probability of finding a value greater than than or equal to x, if false y is the number of observations greater than or equal to x. |
True
|
Returns:
| Type | Description |
|---|---|
Tuple[ndarray, ndarray]
|
x and y coordinates for the cdf |
lorenz(observations)
#
Returns x coordinates and y coordinates for a Lorenz Curve from a list of observations.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
observations
|
list
|
list of observations, should be numeric |
required |
Returns:
| Type | Description |
|---|---|
Tuple[ndarray, ndarray]
|
x and y coordinates for the cdf |