CI: unpin numpy and matplotlib pandas-dev#35779 (pandas-dev#35780)

Author: fangchenli

doc/source/user_guide/visualization.rst

@@ -668,6 +668,7 @@ A ``ValueError`` will be raised if there are any negative values in your data.
    plt.figure()
 
 .. ipython:: python
+   :okwarning:
 
    series = pd.Series(3 * np.random.rand(4),
                       index=['a', 'b', 'c', 'd'], name='series')
@@ -742,6 +743,7 @@ If you pass values whose sum total is less than 1.0, matplotlib draws a semicirc
    plt.figure()
 
 .. ipython:: python
+   :okwarning:
 
    series = pd.Series([0.1] * 4, index=['a', 'b', 'c', 'd'], name='series2')
 

environment.yml

@@ -3,8 +3,7 @@ channels:
   - conda-forge
 dependencies:
   # required
-  # Pin numpy<1.19 until MPL 3.3.0 is released.
-  - numpy>=1.16.5,<1.19.0
+  - numpy>=1.16.5
   - python=3
   - python-dateutil>=2.7.3
   - pytz
@@ -73,7 +72,7 @@ dependencies:
   - ipykernel
   - ipython>=7.11.1
   - jinja2  # pandas.Styler
-  - matplotlib>=2.2.2,<3.3.0  # pandas.plotting, Series.plot, DataFrame.plot
+  - matplotlib>=2.2.2  # pandas.plotting, Series.plot, DataFrame.plot
   - numexpr>=2.6.8
   - scipy>=1.2
   - numba>=0.46.0

pandas/core/frame.py

@@ -2600,7 +2600,7 @@ def to_html(
              1   column_2  1000000 non-null  object
              2   column_3  1000000 non-null  object
             dtypes: object(3)
-            memory usage: 188.8 MB"""
+            memory usage: 165.9 MB"""
         ),
         see_also_sub=(
             """

pandas/core/series.py

@@ -4637,7 +4637,7 @@ def memory_usage(self, index=True, deep=False):
         >>> s.memory_usage()
         144
         >>> s.memory_usage(deep=True)
-        260
+        244
         """
         v = super().memory_usage(deep=deep)
         if index:

pandas/plotting/_matplotlib/boxplot.py

@@ -294,7 +294,7 @@ def maybe_color_bp(bp, **kwds):
 
     def plot_group(keys, values, ax):
         keys = [pprint_thing(x) for x in keys]
-        values = [np.asarray(remove_na_arraylike(v)) for v in values]
+        values = [np.asarray(remove_na_arraylike(v), dtype=object) for v in values]
         bp = ax.boxplot(values, **kwds)
         if fontsize is not None:
             ax.tick_params(axis="both", labelsize=fontsize)

requirements-dev.txt

@@ -1,7 +1,7 @@
 # This file is auto-generated from environment.yml, do not modify.
 # See that file for comments about the need/usage of each dependency.
 
-numpy>=1.16.5,<1.19.0
+numpy>=1.16.5
 python-dateutil>=2.7.3
 pytz
 asv
@@ -47,7 +47,7 @@ bottleneck>=1.2.1
 ipykernel
 ipython>=7.11.1
 jinja2
-matplotlib>=2.2.2,<3.3.0
+matplotlib>=2.2.2
 numexpr>=2.6.8
 scipy>=1.2
 numba>=0.46.0