Cannot plot empty Series #27758
Description
Code Sample
import pandas as pd import matplotlib.pyplot as plt ax = plt.subplots(1)[1] ax.set_xlim((0, 10)) ax.set_ylim((0, 10)) x = pd.Series([], index=pd.Index([], dtype=float), dtype=float) x.plot(ax=ax)Problem description
It is not possible to .plot() an empty Series or DataFrame. When .plot() is called on an empty Series or DataFrame, an exception is raised:
~/software/venv-scipy/lib/python3.7/site-packages/pandas/plotting/_matplotlib/core.py in _compute_plot_data(self) 412 # no non-numeric frames or series allowed 413 if is_empty: --> 414 raise TypeError("no numeric data to plot") 415 416 # GH25587: cast ExtensionArray of pandas (IntegerArray, etc.) to TypeError: no numeric data to plot This is problematic because code path which are supposed to work can suddenly fail when the data to plot is empty (for example, there was no data for the requested time-range).
In order to be robust to this, the code needs to include a lot of things such as:
if not x.empty: x.plot(ax=ax) `` #### Expected Output #### Output of ``pd.show_versions()`` <details> INSTALLED VERSIONS ------------------ commit : None python : 3.7.4.final.0 python-bits : 64 OS : Linux OS-release : 4.19.0-5-amd64 machine : x86_64 processor : byteorder : little LC_ALL : None LANG : fr_FR.utf8 LOCALE : fr_FR.UTF-8 pandas : 0.25.0 numpy : 1.17.0 pytz : 2019.2 dateutil : 2.8.0 pip : 18.1 setuptools : 40.8.0 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 2.10.1 IPython : 7.7.0 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 </details>