def heatmap_contingency_overlaps(df_dev,
df_act,
figsize=(18, 12),
z_scale='log',
idle=False):
"""
"""
cbarlabel = 'second overlap'
title = 'Cross correlation activites'
if idle:
df_act = add_idle(df_act.copy())
df_con = contingency_table_interval_overlaps(df_act, df_dev)
tmp = df_con.reset_index()
tmp['index'] = tmp['device'] + ' ' + tmp['val'].astype(str)
tmp = tmp.set_index('index')
tmp = tmp.drop(['device', 'val'], axis=1)
# convert time to seconds
tmp = tmp.astype(int) / 1000000000
vals = tmp.values.T
acts = tmp.columns
devs = list(tmp.index)
#if z_scale == 'log':
# format_func = lambda x, p: func_formatter_sec(np.exp(x), p)
#else:
format_func = lambda x, p: func_formatter_sec(x, p)
valfmt = matplotlib.ticker.FuncFormatter(format_func)
heatmap_contingency(vals,
acts,
devs,
cbarlabel,
title,
valfmt,
figsize,
z_scale=z_scale)
def heatmap_contingency_triggers_01(df_devs=None,
df_acts=None,
df_con_tab_01=None,
figsize=None,
idle=True,
z_scale=None,
numbers=None,
file_path=None):
"""
Plot the device on and off triggers against the activities
Parameters
----------
df_devs : pd.DataFrame, optional
recorded devices from a dataset. For more information refer to
:ref:`user guide<device_dataframe>`. If the parameter *df_devs* is not set,
the parameter *df_con_tab* has to be set.
df_acts : pd.DataFrame, optional
recorded activities from a dataset. Fore more information refer to the
:ref:`user guide<activity_dataframe>`. If the parameter *df_acts* is not set,
the parameter *df_con_tab* has to be set.
df_con_tab_01 : pd.DataFrame, optional
A precomputed contingency table. If the *df_con_tab* parameter is given, parameters
*df_acts* and *df_devs* are ignored. The contingency table can be computed
in :ref:`stats <stats_dna_con_dur>`.
figsize : (float, float), optional
width, height in inches. If not provided, the figsize is inferred by automatically.
z_scale : {"log", "linear"}, default: 'log'
The axis scale type to apply.
numbers : bool, default: True
Whether to display numbers inside the heatmaps fields or not.
idle : bool, default: False
Determines whether gaps between activities should be assigned
the activity *idle* or be ignored.
file_path : str, optional
If set, saves the plot under the given file path and return *None* instead
of returning the figure.
Examples
--------
>>> from pyadlml.plot import plot_hm_contingency_trigger_01
>>> plot_hm_contingency_trigger_01(data.df_devices, data.df_activities)
.. image:: ../_static/images/plots/cont_hm_trigger_01.png
:height: 300px
:width: 500 px
:scale: 100 %
:alt: alternate text
:align: center
Returns
-------
fig : Figure or None
If the parameter file_path is specified, the method return None rather than a matplotlib figure.
"""
assert (df_devs is not None
and df_acts is not None) or df_con_tab_01 is not None
title = 'On/Off triggers'
cbarlabel = 'counts'
textcolors = ("white", "black")
log = (z_scale == 'log')
# if log than let automatically infer else
valfmt = (None if log else "{x:.0f}")
if df_con_tab_01 is None:
df_con = contingency_triggers_01(df_devs.copy(), df_acts, idle=idle)
else:
df_con = df_con_tab_01.copy()
# rename labels
df_con = df_con.reset_index(drop=False)
df_con['index'] = df_con['index'].apply(lambda x: x
if "Off" in x else "On")
df_con = df_con.set_index('index')
vals = df_con.values.T
acts = df_con.columns
devs = list(df_con.index)
heatmap_contingency(acts,
devs,
vals,
title,
cbarlabel,
textcolors=textcolors,
valfmt=valfmt,
z_scale=z_scale,
numbers=numbers,
figsize=figsize)
def heatmap_contingency_overlaps(df_devs=None, df_acts=None, df_con_tab=None, figsize=None, \
z_scale='log', idle=False, numbers=True, file_path=None):
"""
Plots a heatmap the device on and off intervals are measured against
the activities
Parameters
----------
df_devs : pd.DataFrame, optional
recorded devices from a dataset. For more information refer to
:ref:`user guide<device_dataframe>`. If the parameter *df_devs* is not set,
the parameter *df_con_tab* has to be set.
df_acts : pd.DataFrame, optional
recorded activities from a dataset. Fore more information refer to the
:ref:`user guide<activity_dataframe>`. If the parameter *df_acts* is not set,
the parameter *df_con_tab* has to be set.
df_con_tab : pd.DataFrame, optional
A precomputed contingency table. If the *df_con_tab* parameter is given, parameters
*df_acts* and *df_devs* are ignored. The contingency table can be computed
in :ref:`stats <stats_dna_con_dur>`.
figsize : (float, float), optional
width, height in inches. If not provided, the figsize is inferred by automatically.
z_scale : {"log", "linear"}, default: 'log'
The axis scale type to apply.
numbers : bool, default: True
Whether to display numbers inside the heatmaps fields or not.
idle : bool, default: False
Determines whether gaps between activities should be assigned
the activity *idle* or be ignored.
file_path : str, optional
If set, saves the plot under the given file path and return *None* instead
of returning the figure.
Examples
--------
>>> from pyadlml.plot import plot_hm_contingency_duration
>>> plot_hm_contingency_duration(data.df_devices, data.df_activities)
.. image:: ../_static/images/plots/cont_hm_duration.png
:height: 300px
:width: 800 px
:scale: 90 %
:alt: alternate text
:align: center
Returns
-------
fig : Figure or None
If the parameter file_path is specified, the method return None rather than a matplotlib figure.
"""
assert (df_devs is not None
and df_acts is not None) or df_con_tab is not None
title = 'Mutual time: activities vs. devices'
cbarlabel = 'mutual time in seconds'
if df_con_tab is None:
if idle:
df_acts = add_idle(df_acts.copy())
df_con = contingency_duration(df_devs, df_acts)
else:
df_con = df_con_tab
# convert time (ns) to seconds
df_con = df_con.astype(int) / 1000000000
# rename labels
df_con = df_con.reset_index(drop=False)
df_con['index'] = df_con['index'].apply(lambda x: x
if "Off" in x else "On")
df_con = df_con.set_index('index')
# set values
vals = df_con.values.T
acts = df_con.columns.values
devs = list(df_con.index)
valfmt = matplotlib.ticker.FuncFormatter(
lambda x, p: func_formatter_seconds2time(x, p))
heatmap_contingency(acts,
devs,
vals,
title,
cbarlabel,
valfmt=valfmt,
figsize=figsize,
z_scale=z_scale,
numbers=numbers)