Plotly: How to plot multiple columns on one scatter plot?

Question

I have a dataframe such as the following:

      col_1  col_2  col_3
0              True           True           True
1              True           True           True
2              True           True           True
3              True           True           True
4              True           True           True

I would like to create a plot where:

x axis is the index value
y axis has got three rows (one for each column), where a scatter point is present on that row if it is False. Else it is not present.

Is this possible?

Columns in a scatter plot? Could you include an image of what you would like to accomplish? The code for any attempts you've made would be great too. And perhaps a more complete dataset where alle the values are not equal to True, since the cases where the values are False seem to be of more interest. — vestland
– vestland, Commented Jan 6, 2020 at 20:51

vbs · Accepted Answer · 2020-01-06 19:59:21Z

1

Is it this what you are after? I've set some random elements to False just to illustrate.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

df = pd.DataFrame([[True]*3]*5, columns=['col1', 'col2', 'col3'])
df.iloc[0, 2] = False
df.iloc[1, 1] = False
df.iloc[4, 0] = False

x, y = np.where(df == False)
y = y + 1  # just to match example columns names

plt.figure()
plt.scatter(x, y)
plt.show()

answered Jan 6, 2020 at 19:59

vbs

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2 Comments

Daniel Paczuski Bak Over a year ago

I'd like to do this with plotly, if possible. And, ideally, the y axis would be labeled with the names of the columns rather than arbitrary y values.

vbs Over a year ago

Oops, sorry, had totally missed the first word in your post!

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