Update pymaf.MafFrame.plot_regplot_tmb:

* Add new optional argument ``to_csv`` to 
:meth:`pymaf.MafFrame.plot_regplot_tmb` method.

CHANGELOG.rst

@@ -8,6 +8,7 @@ Changelog
 * Update ``pyvcf`` submodule to accept "sites-only" VCF.
 * Add new method :meth:`pyvcf.VcfFrame.filter_gsa`.
 * Add new method :meth:`pyvcf.VcfFrame.duplicated`.
+* Add new optional argument ``to_csv`` to :meth:`pymaf.MafFrame.plot_regplot_tmb` method.
 
 0.35.0 (2022-07-12)
 -------------------
@@ -41,7 +42,7 @@ Changelog
 0.32.0 (2022-04-02)
 -------------------
 
-* Add new optional argument ``filter_off`` for :class:`pykallisto.KallistoFrame` constructor, which is useful for generating a simple count or tpm matrix.
+* Add new optional argument ``filter_off`` to :class:`pykallisto.KallistoFrame` constructor, which is useful for generating a simple count or tpm matrix.
 * Add new optional argument ``--dir-path`` to :command:`vcf-call` command for storing intermediate files.
 * Add new optional argument ``--gap_frac`` to :command:`vcf-call` command so that users can control indel calling sensitivity.
 * Add new optional argument ``--group-samples`` to :command:`vcf-call` command so that users can group samples into populations and apply the HWE assumption within but not across the populations.

fuc/api/pymaf.py

@@ -1400,7 +1400,7 @@ def plot_regplot_gene(
 
  def plot_regplot_tmb(
  self, af, subject_col, group_col, a, b, ax=None, figsize=None,
- **kwargs
+ to_csv=None, **kwargs
  ):
  """
  Create a scatter plot with a linear regression model fit visualizing
@@ -1419,6 +1419,8 @@ def plot_regplot_tmb(
  AnnFrame column containing sample group information.
  a, b : str
  Sample group names.
+ to_csv : str, optional
+ Write the plot's data to a CSV file.
  ax : matplotlib.axes.Axes, optional
  Pre-existing axes for the plot. Otherwise, crete a new one.
  figsize : tuple, optional
@@ -1483,6 +1485,10 @@ def one_row(r):
  print(f'R^2 = {results.rsquared:.2f}')
  print(f' P = {results.f_pvalue:.2e}')
 
+ # Write the DataFrame to a CSV file.
+ if to_csv is not None:
+ df.to_csv(to_csv)
+
  return ax
 
  def plot_interactions(