Code Sample, a copy-pastable example if possible

I often have dataframes with many obervations and want to have a quick glance at the data using a line plot.

The problem is that the colors of the colormap are either repeated over X observations or hard to distinguish e.g. in case of sequential colormaps.

So my idea was to add random markers to the line plot which is where I got stuck.

Here's an example with one markerstyle:

# -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# dataframe with random data
df = pd.DataFrame(np.random.rand(10, 8))

# plot
df.plot(kind='line', marker='d')
plt.show()

So far, this only seems to be possible with additional matplotlib code as shown in my related question on stackoverflow:

http://stackoverflow.com/questions/39246115/pandas-dataframe-plot-show-random-markers#39247062

Expected Output

It would be nice if one could draw random markers in line plots via a flag, e. g.:

df.plot(kind='line', random_markers=True)

output of pd.show_versions()

commit: None python: 3.5.2.final.0 python-bits: 64 OS: Linux OS-release: 4.4.0-34-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: de_DE.UTF-8

pandas: 0.18.0 nose: 1.3.7 pip: 8.1.2 setuptools: 20.7.0 Cython: 0.23.4 numpy: 1.10.4 scipy: 0.17.0 statsmodels: None xarray: None IPython: 4.1.2 sphinx: None patsy: 0.4.0 dateutil: 2.5.1 pytz: 2016.2 blosc: None bottleneck: 1.0.0 tables: 3.2.2 numexpr: 2.5 matplotlib: 1.5.1 openpyxl: 2.3.2 xlrd: 0.9.4 xlwt: 1.0.0 xlsxwriter: 0.8.4 lxml: 3.6.0 bs4: 4.4.1 html5lib: None httplib2: None apiclient: None sqlalchemy: 1.0.12 pymysql: None psycopg2: None jinja2: 2.8 boto: 2.39.0

Comment From: mroeschke

Thanks for the suggestion but appears there hasn't been much traction or community interest in this feature so closing