BUG: df.plot(subplots=False) not drawing as expected

[mrfrizzz]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

class ProcessPlotter(object):
    def __init__(self):
        self.index = False
        self.columns = []
        self.df = False
        self._df = pd.DataFrame()

    def terminate(self):
        plt.close('all')

    # HERE 
    # data sample 
    # {(4, 0): -0.009916651004225008, (4, 1): -1.0548021013814015e-07, (4, 3): -0.000925287713841344, (4, 5): -0.32002892931690496, (4, 6): -0.09059265200196842}
    def _dataframe(self, data):
        _datetime = dt.datetime.now().strftime('%H:%M:%S.%f')
        _data = { _datetime: data}
        _from_to = [k for k, v in data.items()]
        _df = pd.DataFrame(_data, index=_from_to)
        self._df = pd.concat([self._df, _df], axis=1)
        print(self._df)
        print(self._df.transpose())
        return self._df.transpose()

    def call_back(self):
        while self.pipe.poll():
            data = self.pipe.recv()
            if data is None:
                self.terminate()
                return False
            else:
                # HERE switching subplots value
                self._dataframe(data).plot(style='.', subplots=True, rot=45,
                    ax=self.ax, sharex=True, sharey=True)

            self.fig.canvas.draw()
        return True


    def __call__(self, pipe):
        self.pipe = pipe
        self.fig, self.ax = plt.subplots(sharex=True, sharey=True)
        timer = self.fig.canvas.new_timer(interval=1000)
        timer.add_callback(self.call_back)
        timer.start()
        plt.subplots_adjust(bottom=0.1, top=1, left=0.1, right=1)
        plt.legend()
        plt.show()

Issue Description

df.plot(.., subplots=True, ..) everything is fine

df.plot(.., subplots=False, ..) duplicate labels, label colors changing every draw, not sharing the same x

print(self._df)

print(self._df.transpose())

Expected Behavior

A merge of all subplots using subplots=False

Installed Versions

INSTALLED VERSIONS

commit : 87cfe4e
python : 3.10.6.final.0
python-bits : 64
OS : Darwin
OS-release : 21.6.0
Version : Darwin Kernel Version 21.6.0: Mon Aug 22 20:17:10 PDT 2022; root:xnu-8020.140.49~2/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG :
LOCALE :

pandas : 1.5.0
numpy : 1.23.3
pytz : 2022.2.1
dateutil : 2.8.2
setuptools : 63.4.3
pip : 22.2.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.6.0
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : 1.4.15
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : 2022.2

[mrfrizzz]

Using the full date format:

#_datetime = dt.datetime.now().strftime('%H:%M:%S.%f')
_datetime = dt.datetime.now()

and plotting one by one

# HERE switching subplots value
#self._dataframe(data).plot(style='.', subplots=True, rot=45, ax=self.ax, sharex=True, sharey=True)
df = self._dataframe(data)
for k in df:
  if k not in self._from_to_colors:
    self._from_to_colors[k] = "#%06x" % random.randint(0, 0xFFFFFF)
  df[k].plot(style=".--", color=self._from_to_colors[k], grid=True, label=f"{df[k]}", stacked=True, rot=45, ax=self.ax)

I only miss the legend

[mrfrizzz]

got legend

_lines = [Line2D([0],[0],color=self._from_to_colors[k],lw=6) for k in self._from_to_colors]
_labels = [k for k in self._from_to_colors]
self.ax.legend(_lines, _labels)

[zhuoyahuang]

Hi, i couldn't really reproduce the issue and i don't think i understand what you are trying to get to with subplot = False.
looks like axis got messed up when you try to use subplots = False with your first example.

Can you please provide us with a cleaner example if this is still an issue? Thank you @mrfrizzz