Description
Code Sample, a copy-pastable example if possible
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
pd.Series(np.random.random(1000)).plot(logy=True)
pd.Series(np.random.random(1000)).plot(secondary_y=True, logy=True)
plt.show()Problem description
When I plot some data and set both the secondary_y and logy parameters to True, the logy parameter is not respected. Instead, the secondary y axis still uses linear scaling.
Expected Output
The secondary y axis should use logarithmic scaling.
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.7.2.final.0
python-bits: 64
OS: Linux
OS-release: 4.19.0-2-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: de_DE.UTF-8
LOCALE: de_DE.UTF-8
pandas: 0.24.1
pytest: 4.1.1
pip: 18.1
setuptools: 40.6.3
Cython: None
numpy: 1.16.1
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 5.8.0
sphinx: 1.8.3
patsy: None
dateutil: 2.7.3
pytz: 2018.9
blosc: None
bottleneck: None
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 3.0.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: 4.3.1
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None