Recursively adding joypy.joyplot as subplot to one matplotlib plot

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I have been using joypy for plotting what is called ridgeline/joy plots. I want to divide my dataframe equally into several parts, and recursively making each one of them as joy plot and adding them altogether for the ease of visualisation. Without doing so I just get one very long plot which is difficult to view. I have tried using subplots and making a new joypy.joyplot within a for-loop, but no success :(

import joypy

import mplcursors

from matplotlib import cm

import matplotlib.pyplot as plt



data = pd.DataFrame(np.random.rand(180,7), columns=list('ABCDEFG'))



x_range = list(range(len(data)))

fig, axes = joypy.joyplot(data, kind="values", x_range=x_range, colormap=cm.Set2,

                         figsize=(100,10))

axes[-1].set_xticks(x_range);

mplcursors.cursor(hover=True)



fig.savefig('joyplot.png', bbox_inches='tight')

What I have tried:

import joypy

from matplotlib import cm

import matplotlib.pyplot as plt



f, a = plt.subplots(2, 1)

data = pd.DataFrame(np.random.rand(180,7), columns=list('ABCDEFG'))



for c, i in enumerate(range(0, len(data), 50)):

    x_range = list(range(i, i+50, 1))

    fig, axes = joypy.joyplot(data[i:i+50], kind="values", x_range=x_range, colormap=cm.Set2,

                             figsize=(100,10),

                             title="Emotion evolution over an interview")

    # I don't know what to do here so the current fig can be added as subplot..

    a[c].set_xticks(x_range);



fig.show()

Also, does anyone know how to make the plot interactive, as when my mouse hover over the plot then the its value of the y-axis appears. mplcursors doesn't seem to work. Any help is appreciated! Thanks.

edited Nov 16 '18 at 17:45

asked Nov 16 '18 at 15:51

Blue482

1,06821429

1

Your code is not runnable. How would you imagine someone to find out what "without success" means?

– ImportanceOfBeingErnest
Nov 16 '18 at 16:27

You're right. Sorry about that. I have edited the original question now. Thanks!

– Blue482
Nov 16 '18 at 17:24

1

I don't think you can use subplots. Even if subplots were possible, they would still take exactly the same space in the figure, right? So what exactly would be the desired outcome?

– ImportanceOfBeingErnest
Nov 16 '18 at 17:39

1

I think I understand what you are trying to do. But why? Where is the difference between having 6 curves below each other compared to having 2 times 3 curves below each other? Anyways, with joypy you cannot create subplots. So if you want to tell how the final plot is supposed to look like, one can probably provide a solution without the use of joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 17:59

1

No there isn't. Two options: (a) modify the joypy source code (b) don't use joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 18:26

|
show 4 more comments

import joypy

import mplcursors

from matplotlib import cm

import matplotlib.pyplot as plt



data = pd.DataFrame(np.random.rand(180,7), columns=list('ABCDEFG'))



x_range = list(range(len(data)))

fig, axes = joypy.joyplot(data, kind="values", x_range=x_range, colormap=cm.Set2,

                         figsize=(100,10))

axes[-1].set_xticks(x_range);

mplcursors.cursor(hover=True)



fig.savefig('joyplot.png', bbox_inches='tight')

What I have tried:

import joypy

from matplotlib import cm

import matplotlib.pyplot as plt



f, a = plt.subplots(2, 1)

data = pd.DataFrame(np.random.rand(180,7), columns=list('ABCDEFG'))



for c, i in enumerate(range(0, len(data), 50)):

    x_range = list(range(i, i+50, 1))

    fig, axes = joypy.joyplot(data[i:i+50], kind="values", x_range=x_range, colormap=cm.Set2,

                             figsize=(100,10),

                             title="Emotion evolution over an interview")

    # I don't know what to do here so the current fig can be added as subplot..

    a[c].set_xticks(x_range);



fig.show()

edited Nov 16 '18 at 17:45

asked Nov 16 '18 at 15:51

Blue482

1,06821429

1

Your code is not runnable. How would you imagine someone to find out what "without success" means?

– ImportanceOfBeingErnest
Nov 16 '18 at 16:27

You're right. Sorry about that. I have edited the original question now. Thanks!

– Blue482
Nov 16 '18 at 17:24

1

I don't think you can use subplots. Even if subplots were possible, they would still take exactly the same space in the figure, right? So what exactly would be the desired outcome?

– ImportanceOfBeingErnest
Nov 16 '18 at 17:39

1

I think I understand what you are trying to do. But why? Where is the difference between having 6 curves below each other compared to having 2 times 3 curves below each other? Anyways, with joypy you cannot create subplots. So if you want to tell how the final plot is supposed to look like, one can probably provide a solution without the use of joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 17:59

1

No there isn't. Two options: (a) modify the joypy source code (b) don't use joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 18:26

|
show 4 more comments

import joypy

import mplcursors

from matplotlib import cm

import matplotlib.pyplot as plt



data = pd.DataFrame(np.random.rand(180,7), columns=list('ABCDEFG'))



x_range = list(range(len(data)))

fig, axes = joypy.joyplot(data, kind="values", x_range=x_range, colormap=cm.Set2,

                         figsize=(100,10))

axes[-1].set_xticks(x_range);

mplcursors.cursor(hover=True)



fig.savefig('joyplot.png', bbox_inches='tight')

What I have tried:

import joypy

from matplotlib import cm

import matplotlib.pyplot as plt



f, a = plt.subplots(2, 1)

data = pd.DataFrame(np.random.rand(180,7), columns=list('ABCDEFG'))



for c, i in enumerate(range(0, len(data), 50)):

    x_range = list(range(i, i+50, 1))

    fig, axes = joypy.joyplot(data[i:i+50], kind="values", x_range=x_range, colormap=cm.Set2,

                             figsize=(100,10),

                             title="Emotion evolution over an interview")

    # I don't know what to do here so the current fig can be added as subplot..

    a[c].set_xticks(x_range);



fig.show()

edited Nov 16 '18 at 17:45

asked Nov 16 '18 at 15:51

Blue482

1,06821429

import joypy

import mplcursors

from matplotlib import cm

import matplotlib.pyplot as plt



data = pd.DataFrame(np.random.rand(180,7), columns=list('ABCDEFG'))



x_range = list(range(len(data)))

fig, axes = joypy.joyplot(data, kind="values", x_range=x_range, colormap=cm.Set2,

                         figsize=(100,10))

axes[-1].set_xticks(x_range);

mplcursors.cursor(hover=True)



fig.savefig('joyplot.png', bbox_inches='tight')

What I have tried:

import joypy

from matplotlib import cm

import matplotlib.pyplot as plt



f, a = plt.subplots(2, 1)

data = pd.DataFrame(np.random.rand(180,7), columns=list('ABCDEFG'))



for c, i in enumerate(range(0, len(data), 50)):

    x_range = list(range(i, i+50, 1))

    fig, axes = joypy.joyplot(data[i:i+50], kind="values", x_range=x_range, colormap=cm.Set2,

                             figsize=(100,10),

                             title="Emotion evolution over an interview")

    # I don't know what to do here so the current fig can be added as subplot..

    a[c].set_xticks(x_range);



fig.show()

python matplotlib plot data-visualization

edited Nov 16 '18 at 17:45

asked Nov 16 '18 at 15:51

Blue482

1,06821429

edited Nov 16 '18 at 17:45

asked Nov 16 '18 at 15:51

Blue482

1,06821429

edited Nov 16 '18 at 17:45

asked Nov 16 '18 at 15:51

Blue482

1,06821429

asked Nov 16 '18 at 15:51

Blue482

1,06821429

asked Nov 16 '18 at 15:51

Blue482

1,06821429

1

Your code is not runnable. How would you imagine someone to find out what "without success" means?

– ImportanceOfBeingErnest
Nov 16 '18 at 16:27

You're right. Sorry about that. I have edited the original question now. Thanks!

– Blue482
Nov 16 '18 at 17:24

1

I don't think you can use subplots. Even if subplots were possible, they would still take exactly the same space in the figure, right? So what exactly would be the desired outcome?

– ImportanceOfBeingErnest
Nov 16 '18 at 17:39

1

I think I understand what you are trying to do. But why? Where is the difference between having 6 curves below each other compared to having 2 times 3 curves below each other? Anyways, with joypy you cannot create subplots. So if you want to tell how the final plot is supposed to look like, one can probably provide a solution without the use of joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 17:59

1

No there isn't. Two options: (a) modify the joypy source code (b) don't use joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 18:26

|
show 4 more comments

1

Your code is not runnable. How would you imagine someone to find out what "without success" means?

– ImportanceOfBeingErnest
Nov 16 '18 at 16:27

You're right. Sorry about that. I have edited the original question now. Thanks!

– Blue482
Nov 16 '18 at 17:24

1

I don't think you can use subplots. Even if subplots were possible, they would still take exactly the same space in the figure, right? So what exactly would be the desired outcome?

– ImportanceOfBeingErnest
Nov 16 '18 at 17:39

1

I think I understand what you are trying to do. But why? Where is the difference between having 6 curves below each other compared to having 2 times 3 curves below each other? Anyways, with joypy you cannot create subplots. So if you want to tell how the final plot is supposed to look like, one can probably provide a solution without the use of joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 17:59

1

No there isn't. Two options: (a) modify the joypy source code (b) don't use joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 18:26

Your code is not runnable. How would you imagine someone to find out what "without success" means?

– ImportanceOfBeingErnest
Nov 16 '18 at 16:27

You're right. Sorry about that. I have edited the original question now. Thanks!

– Blue482
Nov 16 '18 at 17:24

I don't think you can use subplots. Even if subplots were possible, they would still take exactly the same space in the figure, right? So what exactly would be the desired outcome?

– ImportanceOfBeingErnest
Nov 16 '18 at 17:39

I think I understand what you are trying to do. But why? Where is the difference between having 6 curves below each other compared to having 2 times 3 curves below each other? Anyways, with joypy you cannot create subplots. So if you want to tell how the final plot is supposed to look like, one can probably provide a solution without the use of joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 17:59

No there isn't. Two options: (a) modify the joypy source code (b) don't use joypy.

– ImportanceOfBeingErnest
Nov 16 '18 at 18:26

|
show 4 more comments

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