Doc updates on plts

fooof/plts/fg.py

@@ -1,8 +1,8 @@
-"""Plots for FOOOFGroup object.
+"""Plots for the FOOOFGroup object.
 
 Notes
 -----
-This file contains plotting functions that take as input a FOOOFGroup() object.
+This file contains plotting functions that take as input a FOOOFGroup object.
 """
 
 from fooof.core.io import fname, fpath
@@ -17,11 +17,11 @@
 
 @check_dependency(plt, 'matplotlib')
 def plot_fg(fg, save_fig=False, file_name='FOOOF_group_fit', file_path=None):
-    """Plots a figure with subplots covering the group results from a FOOOFGroup object.
+    """Plots a figure with subplots covering the results from a FOOOFGroup object.
 
     Parameters
     ----------
-    fg : FOOOFGroup() object
+    fg : FOOOFGroup object
         FOOOFGroup object, containing results from fitting a group of power spectra.
     save_fig : boolean, optional, default: False
         Whether to save out a copy of the plot.
@@ -59,7 +59,7 @@ def plot_fg_ap(fg, ax=None):
 
     Parameters
     ----------
-    fg : FOOOFGroup() object
+    fg : FOOOFGroup object
         Group object from which to plot data.
     ax : matplotlib.Axes, optional
         Figure axes upon which to plot.
@@ -80,7 +80,7 @@ def plot_fg_gf(fg, ax=None):
 
     Parameters
     ----------
-    fg : FOOOFGroup() object
+    fg : FOOOFGroup object
         Group object from which to plot data.
     ax : matplotlib.Axes, optional
         Figure axes upon which to plot.
@@ -96,7 +96,7 @@ def plot_fg_peak_cens(fg, ax=None):
 
     Parameters
     ----------
-    fg : FOOOFGroup() object
+    fg : FOOOFGroup object
         Group object from which to plot data.
     ax : matplotlib.Axes, optional
         Figure axes upon which to plot.

fooof/plts/fm.py

@@ -1,8 +1,8 @@
-"""Plots for FOOOF object.
+"""Plots for the FOOOF object.
 
 Notes
 -----
-This file contains plotting functions that take as input a FOOOF() object.
+This file contains plotting functions that take as input a FOOOF object.
 """
 
 import numpy as np
@@ -24,7 +24,7 @@ def plot_fm(fm, plt_log=False, save_fig=False, file_name='FOOOF_fit', file_path=
 
     Parameters
     ----------
-    fm : FOOOF() object
+    fm : FOOOF object
         FOOOF object, containing a power spectrum and (optionally) results from fitting.
     plt_log : boolean, optional, default: False
         Whether or not to plot the frequency axis in log space.
@@ -43,7 +43,7 @@ def plot_fm(fm, plt_log=False, save_fig=False, file_name='FOOOF_fit', file_path=
 
     ax = check_ax(ax)
 
-    # Log Plot Settings - note that power values in FOOOF objects are already logged
+    # Log settings. Note that power values in FOOOF objects are already logged
     log_freqs = plt_log
     log_powers = False
 
@@ -69,7 +69,7 @@ def plot_peak_iter(fm):
 
     Parameters
     ----------
-    fm : FOOOF() object
+    fm : FOOOF object
         FOOOF object, with model fit, data and settings available.
     """
 
@@ -79,7 +79,7 @@ def plot_peak_iter(fm):
 
     for ind in range(n_gauss + 1):
 
-        # Note: this forces to create a new plotting axes per iteration
+        # This forces to create a new plotting axes per iteration
         ax = check_ax(None)
 
         plot_spectrum(fm.freqs, flatspec, linewidth=2.0, label='Flattened Spectrum', ax=ax)

fooof/plts/spectra.py

@@ -32,7 +32,7 @@ def plot_spectrum(freqs, power_spectrum, log_freqs=False, log_powers=False,
     power_spectrum : 1d array
         Y-axis data, power values for spectrum to plot.
     log_freqs : boolean, optional, default: False
-        Whether or not to take the log of the power axis before plotting.
+        Whether or not to take the log of the frequency axis before plotting.
     log_powers : boolean, optional, default: False
         Whether or not to take the log of the power axis before plotting.
     ax : matplotlib.Axes, optional
@@ -72,10 +72,11 @@ def plot_spectra(freqs, power_spectra, log_freqs=False, log_powers=False, labels
     power_spectra : 2d array or list of 1d array
         Y-axis data, power values for spectra to plot.
     log_freqs : boolean, optional, default: False
-        Whether or not to take the log of the power axis before plotting.
+        Whether or not to take the log of the frequency axis before plotting.
     log_powers : boolean, optional, default: False
         Whether or not to take the log of the power axis before plotting.
-    labels " "
+    labels : list of str, optional
+        Legend labels, for each power spectrum.
     ax : matplotlib.Axes, optional
         Figure axes upon which to plot.
     plot_style : callable, optional, default: style_spectrum_plot

fooof/plts/style.py

@@ -4,14 +4,32 @@
 ###################################################################################################
 
 def check_n_style(style_func, *args):
-    """"Check is a style function has been passed, and apply if so."""
+    """"Check is a style function has been passed, and apply if so.
+
+    Parameters
+    ----------
+    style_func : callable or None
+        Function to apply styling to a plot axis.
+    *args
+        Inputs to the style plot.
+    """
 
     if style_func:
         style_func(*args)
 
 
 def style_spectrum_plot(ax, log_freqs, log_powers):
-    """Define to styling for a power spectrum plot."""
+    """Define to styling for a power spectrum plot.
+
+    Parameters
+    ----------
+    ax : matplotlib.Axes
+        Figure axes to apply styling to
+    log_freqs : boolean
+        Whether the frequency axis is plotted in log space.
+    log_powers : boolean
+        Whether the power axis is plotted in log space.
+    """
 
     # Get labels, based on log status
     xlabel = 'Frequency' if not log_freqs else 'log(Frequency)'

fooof/plts/templates.py

@@ -1,8 +1,9 @@
 """Plot templates for the FOOOF module.
 
-Notes:
-- These are template plot structures used in reports and/or other plots.
-    - They are not expected to be used / imported separately.
+Notes
+-----
+These are template plot structures for FOOOF plots and/or reports.
+They are not expected to be used directly by the user.
 """
 
 import numpy as np
@@ -67,12 +68,12 @@ def plot_scatter_2(data_0, label_0, data_1, label_1, title=None, ax=None):
     data_0 : 1d array
         Data to plot on the first axis.
     label_0 : str
-        Label for the data on the first axis, to be set as the y-axis label.
+        Label for the data on the first axis, to be set as the axis label.
     data_1 : 1d array
         Data to plot on the second axis.
     label_0 : str
-        Label for the data on the second axis, to be set as the y-axis label.
-    title : str
+        Label for the data on the second axis, to be set as the axis label.
+    title : str, optional
         Title for the plot.
     ax : matplotlib.Axes, optional
         Figure axes upon which to plot.

fooof/plts/utils.py

@@ -3,7 +3,7 @@
 Notes
 -----
 These utility functions should be considered private.
-    They are not expected to be called directly by the user.
+They are not expected to be called directly by the user.
 """
 
 from numpy import log10
@@ -26,7 +26,7 @@ def set_alpha(n_pts):
 
     Returns
     -------
-    n_pts : float
+    alpha : float
         Value for alpha to use for plotting.
     """