xticks unnecessarily rotated

[yui-haider]

Code Sample

import pandas as pd
import matplotlib.pyplot as plt
from io import StringIO

csv_string = """x,y1,y2
0, 1, 1
1, 1, 2
2, 1, 3
3, 4, 2
4, 2, 4
5, 3, 3
"""

data = pd.read_csv(StringIO(csv_string))
dataframe = pd.DataFrame(data)

dataframe.plot(x="x",
               y=["y1", "y2"],
               kind="line",
               subplots=True,
               sharex=True,
               marker=",",
               linewidth=0.5,
               title="Title"
               )

plt.show()

Problem description

The xticks are unnecessarily rotated:

Also the title overlaps the subplot, but I will create a new issue for that.

Expected Output

The xticks shouldn't be rotated.

Output of pd.show_versions()

INSTALLED VERSIONS ------------------ commit : None python : 3.7.2.final.0 python-bits : 32 OS : Windows OS-release : 10 machine : AMD64 processor : Intel64 Family 6 Model 142 Stepping 10, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : None.None

pandas : 0.25.3
numpy : 1.17.3
pytz : 2019.3
dateutil : 2.8.1
pip : 19.3.1
setuptools : 41.6.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.1.1
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
import sys; print('Python %s on %s' % (sys.version, sys.platform))
Python 3.7.2 (tags/v3.7.2:9a3ffc0492, Dec 23 2018, 22:20:52) [MSC v.1916 32 bit (Intel)] on win32

[MarcoGorelli]

Thanks @thehalftruth for the report

Seems this only happens when subplots=True

also happens when use_index=False and the index is all dates

notes to self:

historical work was done in pandas/tools/plotting.py. also, see #8301