I'm trying to create a line plot of a ~30.000 entries long array using pandas_bokeh in jupyter-notebook but constant values seem to be invisible when .
When I further I can see that the data points are there but somehow dashed.
I tried the options provided on the pandas_bokeh github page: https://github.com/PatrikHlobil/Pandas-Bokeh#lineplot
My current workaround is to use the plot_data_points=True
argument with very small square markers.
This is a minimum example to replicate the issue:
import numpy as np
import pandas as pd
import pandas_bokeh
pandas_bokeh.output_notebook()
pd.set_option("plotting.backend", "pandas_bokeh")
a = np.empty(2000)
a.fill(7)
test = pd.DataFrame(a, columns=['a'])
test.plot()
I'm using
This is truly a bug which should go to GitHub.
I made a small modification to your exmaple
import pandas as pd
import pandas_bokeh
df = pd.DataFrame({'a':7}, index=pd.RangeIndex(20))
df['x'] = df.index
df.plot_bokeh(kind='line')
And the output it this:
As you can see the figure draws different types of lines with the same parameter set for both lines.
As long this is broken, you can use plain bokeh. To create this figure using bokeh, this is the example:
from bokeh.plotting import show, figure, output_notebook
output_notebook()
p = figure(width=600, height=400)
p.line(x='index', y='a', source=test)
show(p)