Fix MPL compat again

pandas/plotting/_compat.py

@@ -18,6 +18,7 @@ def inner():
     return inner
 
 
+_mpl_eq_2_1_0 = _mpl_version('2.1.0', operator.eq)
 _mpl_ge_2_1_0 = _mpl_version('2.1.0', operator.ge)
 _mpl_eq_2_2_0 = _mpl_version('2.2.0', operator.eq)
 _mpl_ge_2_2_0 = _mpl_version('2.2.0', operator.ge)

pandas/tests/plotting/common.py

@@ -53,6 +53,7 @@ def setup_method(self, method):
         import matplotlib as mpl
         mpl.rcdefaults()
 
+        self.mpl_eq_2_1_0 = plotting._compat._mpl_eq_2_1_0()
         self.mpl_ge_2_1_0 = plotting._compat._mpl_ge_2_1_0()
         self.mpl_eq_2_2_0 = plotting._compat._mpl_eq_2_2_0()
         self.mpl_ge_2_2_0 = plotting._compat._mpl_ge_2_2_0()

pandas/tests/plotting/test_datetimelike.py

@@ -406,10 +406,10 @@ def test_get_finder(self):
     def test_finder_daily(self):
         day_lst = [10, 40, 252, 400, 950, 2750, 10000]
 
-        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0:
-            # 2.2.0 (exactly) or >= 3.0.0
+        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0 or self.mpl_eq_2_1_0:
+            # 2.1.0, 2.2.0 (exactly) or >= 3.0.0
             xpl1 = xpl2 = [Period('1999-1-1', freq='B').ordinal] * len(day_lst)
-        else:  # 2.1.0, 2.2.2, 2.2.3, 2.2.4
+        else:  # 2.1.2, 2.2.2, 2.2.3, 2.2.4
             xpl1 = [7565, 7564, 7553, 7546, 7518, 7428, 7066]
             xpl2 = [7566, 7564, 7554, 7546, 7519, 7429, 7066]
 
@@ -435,10 +435,10 @@ def test_finder_daily(self):
     def test_finder_quarterly(self):
         yrs = [3.5, 11]
 
-        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0:
-            # 2.2.0 (exactly) or >= 3.0.0
+        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0 or self.mpl_eq_2_1_0:
+            # 2.1.0, 2.2.0 (exactly) or >= 3.0.0
             xpl1 = xpl2 = [Period('1988Q1').ordinal] * len(yrs)
-        else:  # 2.1.0, 2.2.2, 2.2.3, 2.2.4
+        else:  # 2.1.2, 2.2.2, 2.2.3, 2.2.4
             xpl1 = [68, 68]
             xpl2 = [72, 68]
 
@@ -464,10 +464,10 @@ def test_finder_quarterly(self):
     def test_finder_monthly(self):
         yrs = [1.15, 2.5, 4, 11]
 
-        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0:
-            # 2.2.0 (exactly) or >= 3.0.0
+        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0 or self.mpl_eq_2_1_0:
+            # 2.1.0, 2.2.0 (exactly) or >= 3.0.0
             xpl1 = xpl2 = [Period('Jan 1988').ordinal] * len(yrs)
-        else:  # 2.1.0, 2.2.2, 2.2.3, 2.2.4
+        else:  # 2.1.2, 2.2.2, 2.2.3, 2.2.4
             xpl1 = [216, 216, 204, 204]
             xpl2 = [216, 216, 216, 204]
 
@@ -501,10 +501,10 @@ def test_finder_monthly_long(self):
 
     @pytest.mark.slow
     def test_finder_annual(self):
-        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0:
-            # 2.2.0 (exactly) or >= 3.0.0
+        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0 or self.mpl_eq_2_1_0:
+            # 2.1.0, 2.2.0 (exactly) or >= 3.0.0
             xp = [1987, 1988, 1990, 1990, 1995, 2020, 2070, 2170]
-        else:  # 2.1.0, 2.2.2, 2.2.3, 2.2.4
+        else:  # 2.1.2, 2.2.2, 2.2.3, 2.2.4
             xp = [1986, 1986, 1990, 1990, 1995, 2020, 1970, 1970]
 
         xp = [Period(x, freq='A').ordinal for x in xp]
@@ -556,8 +556,8 @@ def test_gaps(self):
         line = lines[0]
         data = line.get_xydata()
 
-        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0:
-            # 2.2.0 (exactly) or >= 3.0.0
+        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0 or self.mpl_eq_2_1_0:
+            # 2.1.0, 2.2.0 (exactly) or >= 3.0.0
             data = np.ma.MaskedArray(data, mask=isna(data), fill_value=np.nan)
 
         assert isinstance(data, np.ma.core.MaskedArray)
@@ -576,8 +576,8 @@ def test_gaps(self):
         line = lines[0]
         data = line.get_xydata()
 
-        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0:
-            # 2.2.0 (exactly) or >= 3.0.0
+        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0 or self.mpl_eq_2_1_0:
+            # 2.1.0, 2.2.0 (exactly) or >= 3.0.0
             data = np.ma.MaskedArray(data, mask=isna(data), fill_value=np.nan)
 
         assert isinstance(data, np.ma.core.MaskedArray)
@@ -595,8 +595,8 @@ def test_gaps(self):
         assert len(lines) == 1
         line = lines[0]
         data = line.get_xydata()
-        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0:
-            # 2.2.0 (exactly) or >= 3.0.0
+        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0 or self.mpl_eq_2_1_0:
+            # 2.1.0, 2.2.0 (exactly) or >= 3.0.0
             data = np.ma.MaskedArray(data, mask=isna(data), fill_value=np.nan)
 
         assert isinstance(data, np.ma.core.MaskedArray)
@@ -619,8 +619,8 @@ def test_gap_upsample(self):
 
         line = lines[0]
         data = line.get_xydata()
-        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0:
-            # 2.2.0 (exactly) or >= 3.0.0
+        if self.mpl_ge_3_0_0 or self.mpl_eq_2_2_0 or self.mpl_eq_2_1_0:
+            # 2.1.0, 2.2.0 (exactly) or >= 3.0.0
             data = np.ma.MaskedArray(data, mask=isna(data), fill_value=np.nan)
 
         assert isinstance(data, np.ma.core.MaskedArray)