From 2faed7b4c855f6176381f9e546da7be55727eccb Mon Sep 17 00:00:00 2001
From: Samuel Hinton <samuelreay@gmail.com>
Date: Fri, 30 Oct 2020 11:19:10 +1000
Subject: [PATCH] Fixes #83

Creating new formatters per x and y axis instead of a global formatter
---
 README.md                      |  4 +++-
 chainconsumer/chainconsumer.py |  2 +-
 chainconsumer/plotter.py       | 14 ++++++++------
 3 files changed, 12 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index 70cb3ee7..f82bf932 100644
--- a/README.md
+++ b/README.md
@@ -64,8 +64,10 @@ post, it can be solved by explicitly install the `matplotlib` dependency `dvipng
 
 ### Update History
 
-##### 0.31.2, 0.31.3
+##### 0.32.0
+* Fixing matplotlib axis formatter issue.
 
+##### 0.31.2, 0.31.3
 * Conda-forge updates
 
 ##### 0.31.1
diff --git a/chainconsumer/chainconsumer.py b/chainconsumer/chainconsumer.py
index 66ef5eea..c987c39a 100644
--- a/chainconsumer/chainconsumer.py
+++ b/chainconsumer/chainconsumer.py
@@ -20,7 +20,7 @@ class ChainConsumer(object):
 
     """
 
-    __version__ = "0.31.3"
+    __version__ = "0.32.0"
 
     def __init__(self):
         logging.basicConfig(level=logging.INFO)
diff --git a/chainconsumer/plotter.py b/chainconsumer/plotter.py
index 2410b141..9f413a57 100644
--- a/chainconsumer/plotter.py
+++ b/chainconsumer/plotter.py
@@ -445,7 +445,7 @@ def plot_walks(
                 if i == 0 and plot_posterior:
                     for chain in chains:
                         if chain.posterior is not None:
-                            self._plot_walk(ax, "$\log(P)$", chain.posterior - chain.posterior.max(), convolve=convolve, color=chain.config["color"])
+                            self._plot_walk(ax, r"$\log(P)$", chain.posterior - chain.posterior.max(), convolve=convolve, color=chain.config["color"])
                 else:
                     if log_weight is None:
                         log_weight = np.any([chain.weights.mean() < 0.1 for chain in chains])
@@ -939,9 +939,6 @@ def _get_figure(self, all_parameters, flip, figsize=(5, 5), external_extents=Non
         fig, axes = plt.subplots(n, n, figsize=figsize, squeeze=False, gridspec_kw=gridspec_kw)
         fig.subplots_adjust(left=0.1, right=0.95, top=0.95, bottom=0.1, wspace=0.05 * spacing, hspace=0.05 * spacing)
 
-        formatter = ScalarFormatter(useOffset=False)
-        formatter.set_powerlimits((-3, 4))
-
         extents = self._get_custom_extents(all_parameters, chains, external_extents)
 
         if plot_hists:
@@ -953,6 +950,11 @@ def _get_figure(self, all_parameters, flip, figsize=(5, 5), external_extents=Non
         for i, p1 in enumerate(params1):
             for j, p2 in enumerate(params2):
                 ax = axes[i, j]
+                formatter_x = ScalarFormatter(useOffset=True)
+                formatter_x.set_powerlimits((-3, 4))
+                formatter_y = ScalarFormatter(useOffset=True)
+                formatter_y.set_powerlimits((-3, 4))
+
                 display_x_ticks = False
                 display_y_ticks = False
                 if i < j:
@@ -1001,7 +1003,7 @@ def _get_figure(self, all_parameters, flip, figsize=(5, 5), external_extents=Non
                         _ = [l.set_fontsize(tick_font_size) for l in ax.get_xticklabels()]
                         if not logx:
                             ax.xaxis.set_major_locator(MaxNLocator(max_ticks, prune="lower"))
-                            ax.xaxis.set_major_formatter(formatter)
+                            ax.xaxis.set_major_formatter(formatter_x)
                         else:
                             ax.xaxis.set_major_locator(LogLocator(numticks=max_ticks))
                     else:
@@ -1012,7 +1014,7 @@ def _get_figure(self, all_parameters, flip, figsize=(5, 5), external_extents=Non
                         _ = [l.set_fontsize(tick_font_size) for l in ax.get_yticklabels()]
                         if not logy:
                             ax.yaxis.set_major_locator(MaxNLocator(max_ticks, prune="lower"))
-                            ax.yaxis.set_major_formatter(formatter)
+                            ax.yaxis.set_major_formatter(formatter_y)
                         else:
                             ax.yaxis.set_major_locator(LogLocator(numticks=max_ticks))
                     else: