Question
Asked By – Roman
I have a pandas dataframe and would like to plot values from one column versus the values from another column. Fortunately, there is plot
method associated with the data-frames that seems to do what I need:
df.plot(x='col_name_1', y='col_name_2')
Unfortunately, it looks like among the plot styles (listed here after the kind
parameter) there are not points. I can use lines or bars or even density but not points. Is there a work around that can help to solve this problem.
Now we will see solution for issue: How to plot two columns of a pandas data frame using points
Answer
You can specify the style
of the plotted line when calling df.plot
:
df.plot(x='col_name_1', y='col_name_2', style='o')
The style
argument can also be a dict
or list
, e.g.:
import numpy as np
import pandas as pd
d = {'one' : np.random.rand(10),
'two' : np.random.rand(10)}
df = pd.DataFrame(d)
df.plot(style=['o','rx'])
All the accepted style formats are listed in the documentation of matplotlib.pyplot.plot
.
This question is answered By – sodd
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