Place multiple plots into one big axis at specific coordinates

I am trying to put multiple matplotlib subplots into a big axis, where tick labels on the big axis correspond to some parameter values for which the data in each subplot has been obtained. Here's an example,

import matplotlib.pyplot as plt

data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]



# x and y coordinates for the big plot

x_coords = list(set([k[0] for k in data.keys()]))

y_coords = list(set([k[1] for k in data.keys()]))



labels = ['Frogs', 'Hogs', 'Dogs']

explode = (0.05, 0.05, 0.05)  #

colors = ['gold', 'beige', 'lightcoral']



fig, axes = plt.subplots(len(y_coords), len(x_coords))



for row_topToDown in range(len(y_coords)):

    row = (len(y_coords)-1) - row_topToDown

    for col in range(len(x_coords)):

        axes[row][col].pie(data[(x_coords[col], y_coords[row_topToDown])], explode=explode, colors = colors, 

        autopct=None, pctdistance = 1.4, 

        shadow=True, startangle=90, radius=0.7, 

        wedgeprops = {'linewidth':1, 'edgecolor':'Black'}

                                     )

        axes[row][col].axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

        axes[row][col].set_title('(' + str(x_coords[col]) + ', ' + str(y_coords[row_topToDown]) + ')')



fig.tight_layout()        

plt.show()

and here's how I'd like the output to look like:
enter image description here

edited Nov 30 '18 at 21:17

asked Nov 19 '18 at 21:29

user3076813

6928

I think every information you need is here

– user8408080
Nov 19 '18 at 21:42

In that post the aim is to place a smaller plot inside each subplot, which is not exactly what I want, i.e., to place all subplots inside a bigger axis, wherein each subplot corresponds to a specific xy-coordinate on that big frame. Particularly, I have a hard time setting the ticks and tick labels on the bigger frame to correspond to each subplot.

– user3076813
Nov 20 '18 at 0:29

add a comment |

import matplotlib.pyplot as plt

data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]



# x and y coordinates for the big plot

x_coords = list(set([k[0] for k in data.keys()]))

y_coords = list(set([k[1] for k in data.keys()]))



labels = ['Frogs', 'Hogs', 'Dogs']

explode = (0.05, 0.05, 0.05)  #

colors = ['gold', 'beige', 'lightcoral']



fig, axes = plt.subplots(len(y_coords), len(x_coords))



for row_topToDown in range(len(y_coords)):

    row = (len(y_coords)-1) - row_topToDown

    for col in range(len(x_coords)):

        axes[row][col].pie(data[(x_coords[col], y_coords[row_topToDown])], explode=explode, colors = colors, 

        autopct=None, pctdistance = 1.4, 

        shadow=True, startangle=90, radius=0.7, 

        wedgeprops = {'linewidth':1, 'edgecolor':'Black'}

                                     )

        axes[row][col].axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

        axes[row][col].set_title('(' + str(x_coords[col]) + ', ' + str(y_coords[row_topToDown]) + ')')



fig.tight_layout()        

plt.show()

and here's how I'd like the output to look like:
enter image description here

edited Nov 30 '18 at 21:17

asked Nov 19 '18 at 21:29

user3076813

6928

I think every information you need is here

– user8408080
Nov 19 '18 at 21:42

In that post the aim is to place a smaller plot inside each subplot, which is not exactly what I want, i.e., to place all subplots inside a bigger axis, wherein each subplot corresponds to a specific xy-coordinate on that big frame. Particularly, I have a hard time setting the ticks and tick labels on the bigger frame to correspond to each subplot.

– user3076813
Nov 20 '18 at 0:29

add a comment |

import matplotlib.pyplot as plt

data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]



# x and y coordinates for the big plot

x_coords = list(set([k[0] for k in data.keys()]))

y_coords = list(set([k[1] for k in data.keys()]))



labels = ['Frogs', 'Hogs', 'Dogs']

explode = (0.05, 0.05, 0.05)  #

colors = ['gold', 'beige', 'lightcoral']



fig, axes = plt.subplots(len(y_coords), len(x_coords))



for row_topToDown in range(len(y_coords)):

    row = (len(y_coords)-1) - row_topToDown

    for col in range(len(x_coords)):

        axes[row][col].pie(data[(x_coords[col], y_coords[row_topToDown])], explode=explode, colors = colors, 

        autopct=None, pctdistance = 1.4, 

        shadow=True, startangle=90, radius=0.7, 

        wedgeprops = {'linewidth':1, 'edgecolor':'Black'}

                                     )

        axes[row][col].axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

        axes[row][col].set_title('(' + str(x_coords[col]) + ', ' + str(y_coords[row_topToDown]) + ')')



fig.tight_layout()        

plt.show()

and here's how I'd like the output to look like:
enter image description here

edited Nov 30 '18 at 21:17

asked Nov 19 '18 at 21:29

user3076813

6928

import matplotlib.pyplot as plt

data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]



# x and y coordinates for the big plot

x_coords = list(set([k[0] for k in data.keys()]))

y_coords = list(set([k[1] for k in data.keys()]))



labels = ['Frogs', 'Hogs', 'Dogs']

explode = (0.05, 0.05, 0.05)  #

colors = ['gold', 'beige', 'lightcoral']



fig, axes = plt.subplots(len(y_coords), len(x_coords))



for row_topToDown in range(len(y_coords)):

    row = (len(y_coords)-1) - row_topToDown

    for col in range(len(x_coords)):

        axes[row][col].pie(data[(x_coords[col], y_coords[row_topToDown])], explode=explode, colors = colors, 

        autopct=None, pctdistance = 1.4, 

        shadow=True, startangle=90, radius=0.7, 

        wedgeprops = {'linewidth':1, 'edgecolor':'Black'}

                                     )

        axes[row][col].axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

        axes[row][col].set_title('(' + str(x_coords[col]) + ', ' + str(y_coords[row_topToDown]) + ')')



fig.tight_layout()        

plt.show()

and here's how I'd like the output to look like:
enter image description here

python matplotlib subplot

edited Nov 30 '18 at 21:17

asked Nov 19 '18 at 21:29

user3076813

6928

edited Nov 30 '18 at 21:17

asked Nov 19 '18 at 21:29

user3076813

6928

edited Nov 30 '18 at 21:17

asked Nov 19 '18 at 21:29

user3076813

6928

asked Nov 19 '18 at 21:29

user3076813

6928

asked Nov 19 '18 at 21:29

user3076813

6928

I think every information you need is here

– user8408080
Nov 19 '18 at 21:42

In that post the aim is to place a smaller plot inside each subplot, which is not exactly what I want, i.e., to place all subplots inside a bigger axis, wherein each subplot corresponds to a specific xy-coordinate on that big frame. Particularly, I have a hard time setting the ticks and tick labels on the bigger frame to correspond to each subplot.

– user3076813
Nov 20 '18 at 0:29

add a comment |

I think every information you need is here

– user8408080
Nov 19 '18 at 21:42

In that post the aim is to place a smaller plot inside each subplot, which is not exactly what I want, i.e., to place all subplots inside a bigger axis, wherein each subplot corresponds to a specific xy-coordinate on that big frame. Particularly, I have a hard time setting the ticks and tick labels on the bigger frame to correspond to each subplot.

– user3076813
Nov 20 '18 at 0:29

I think every information you need is here

– user8408080
Nov 19 '18 at 21:42

In that post the aim is to place a smaller plot inside each subplot, which is not exactly what I want, i.e., to place all subplots inside a bigger axis, wherein each subplot corresponds to a specific xy-coordinate on that big frame. Particularly, I have a hard time setting the ticks and tick labels on the bigger frame to correspond to each subplot.

– user3076813
Nov 20 '18 at 0:29

add a comment |

1 Answer
1

active

oldest

votes

I see two options:

A. use a single axes

You may plot all pie charts to the same axes. Use the center and radius argument to scale the pies in data coordinates. This could look as follows.

import matplotlib.pyplot as plt

data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]



labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.2]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, ax = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax.pie(d, explode=explode, colors = colors, center=(x,y), 

            shadow=True, startangle=90, radius=radius, 

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.annotate("({},{})".format(x,y), xy = (x, y+radius), 

                xytext = (0,5), textcoords="offset points", ha="center")



ax.set_frame_on(True)

xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

ax.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)

fig.tight_layout()        

plt.show()

enter image description here

B. use inset axes

You can put each pie in its own axes and position the axes in data coordinates. This is facilitated by using mpl_toolkits.axes_grid1.inset_locator.inset_axes. The main difference to the above is that you may use a non-equal aspect of the parent axes, and that it's not possible to use tight_layout.

import matplotlib.pyplot as plt

from mpl_toolkits.axes_grid1.inset_locator import inset_axes



data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]





labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.05]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, axes = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax = inset_axes(axes, "100%", "100%", 

                    bbox_to_anchor=(x-radius, y-radius, radius*2, radius*2),

                    bbox_transform=axes.transData, loc="center")

    ax.pie(d, explode=explode, colors = colors,

            shadow=True, startangle=90,

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.set_title("({},{})".format(x,y))





xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

axes.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)



plt.show()

enter image description here

For how to put a legend outside the plot, I would refer you to How to put the legend out of the plot. And for how to create a legend for a pie chart to How to add a legend to matplotlib pie chart?

Also Python - Legend overlaps with the pie chart may be of interest.

edited Nov 30 '18 at 21:18

answered Nov 20 '18 at 0:30

ImportanceOfBeingErnest

127k12131207

Both of your methods work perfectly fine for pie charts since you're working with radius. Is there a more general solution that works for any type of graph where radius is irrelevant (e.g., line plots)?

– user3076813
Nov 26 '18 at 21:40

Sure, just rename radius to something else.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:43

Sorry. I might be talking about something very obvious that is not very clear to me. I meant radius is a keyword argument for function pie, which determines the size of the pie, but we may not have such a single parameter to set the size for other plot types (like a linear).

– user3076813
Nov 26 '18 at 21:53

Ok, obviously you cannot use the solution A. For solution B. there is no radius defined inside of pie. Hence you can just ignore it.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:54

Is it possible to get around the problem of not being able to use tight_layout for Method B through using add_axes and set_position instead of using inset_axes?

– user3076813
Nov 27 '18 at 18:31

|
show 4 more comments

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1 Answer
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active

oldest

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1 Answer
1

active

oldest

votes

I see two options:

A. use a single axes

You may plot all pie charts to the same axes. Use the center and radius argument to scale the pies in data coordinates. This could look as follows.

import matplotlib.pyplot as plt

data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]



labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.2]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, ax = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax.pie(d, explode=explode, colors = colors, center=(x,y), 

            shadow=True, startangle=90, radius=radius, 

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.annotate("({},{})".format(x,y), xy = (x, y+radius), 

                xytext = (0,5), textcoords="offset points", ha="center")



ax.set_frame_on(True)

xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

ax.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)

fig.tight_layout()        

plt.show()

enter image description here

B. use inset axes

import matplotlib.pyplot as plt

from mpl_toolkits.axes_grid1.inset_locator import inset_axes



data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]





labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.05]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, axes = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax = inset_axes(axes, "100%", "100%", 

                    bbox_to_anchor=(x-radius, y-radius, radius*2, radius*2),

                    bbox_transform=axes.transData, loc="center")

    ax.pie(d, explode=explode, colors = colors,

            shadow=True, startangle=90,

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.set_title("({},{})".format(x,y))





xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

axes.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)



plt.show()

enter image description here

edited Nov 30 '18 at 21:18

answered Nov 20 '18 at 0:30

ImportanceOfBeingErnest

127k12131207

Both of your methods work perfectly fine for pie charts since you're working with radius. Is there a more general solution that works for any type of graph where radius is irrelevant (e.g., line plots)?

– user3076813
Nov 26 '18 at 21:40

Sure, just rename radius to something else.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:43

Sorry. I might be talking about something very obvious that is not very clear to me. I meant radius is a keyword argument for function pie, which determines the size of the pie, but we may not have such a single parameter to set the size for other plot types (like a linear).

– user3076813
Nov 26 '18 at 21:53

Ok, obviously you cannot use the solution A. For solution B. there is no radius defined inside of pie. Hence you can just ignore it.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:54

Is it possible to get around the problem of not being able to use tight_layout for Method B through using add_axes and set_position instead of using inset_axes?

– user3076813
Nov 27 '18 at 18:31

|
show 4 more comments

I see two options:

A. use a single axes

You may plot all pie charts to the same axes. Use the center and radius argument to scale the pies in data coordinates. This could look as follows.

import matplotlib.pyplot as plt

data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]



labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.2]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, ax = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax.pie(d, explode=explode, colors = colors, center=(x,y), 

            shadow=True, startangle=90, radius=radius, 

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.annotate("({},{})".format(x,y), xy = (x, y+radius), 

                xytext = (0,5), textcoords="offset points", ha="center")



ax.set_frame_on(True)

xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

ax.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)

fig.tight_layout()        

plt.show()

enter image description here

B. use inset axes

import matplotlib.pyplot as plt

from mpl_toolkits.axes_grid1.inset_locator import inset_axes



data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]





labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.05]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, axes = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax = inset_axes(axes, "100%", "100%", 

                    bbox_to_anchor=(x-radius, y-radius, radius*2, radius*2),

                    bbox_transform=axes.transData, loc="center")

    ax.pie(d, explode=explode, colors = colors,

            shadow=True, startangle=90,

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.set_title("({},{})".format(x,y))





xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

axes.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)



plt.show()

enter image description here

edited Nov 30 '18 at 21:18

answered Nov 20 '18 at 0:30

ImportanceOfBeingErnest

127k12131207

Both of your methods work perfectly fine for pie charts since you're working with radius. Is there a more general solution that works for any type of graph where radius is irrelevant (e.g., line plots)?

– user3076813
Nov 26 '18 at 21:40

Sure, just rename radius to something else.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:43

Sorry. I might be talking about something very obvious that is not very clear to me. I meant radius is a keyword argument for function pie, which determines the size of the pie, but we may not have such a single parameter to set the size for other plot types (like a linear).

– user3076813
Nov 26 '18 at 21:53

Ok, obviously you cannot use the solution A. For solution B. there is no radius defined inside of pie. Hence you can just ignore it.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:54

Is it possible to get around the problem of not being able to use tight_layout for Method B through using add_axes and set_position instead of using inset_axes?

– user3076813
Nov 27 '18 at 18:31

|
show 4 more comments

I see two options:

A. use a single axes

You may plot all pie charts to the same axes. Use the center and radius argument to scale the pies in data coordinates. This could look as follows.

import matplotlib.pyplot as plt

data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]



labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.2]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, ax = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax.pie(d, explode=explode, colors = colors, center=(x,y), 

            shadow=True, startangle=90, radius=radius, 

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.annotate("({},{})".format(x,y), xy = (x, y+radius), 

                xytext = (0,5), textcoords="offset points", ha="center")



ax.set_frame_on(True)

xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

ax.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)

fig.tight_layout()        

plt.show()

enter image description here

B. use inset axes

import matplotlib.pyplot as plt

from mpl_toolkits.axes_grid1.inset_locator import inset_axes



data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]





labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.05]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, axes = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax = inset_axes(axes, "100%", "100%", 

                    bbox_to_anchor=(x-radius, y-radius, radius*2, radius*2),

                    bbox_transform=axes.transData, loc="center")

    ax.pie(d, explode=explode, colors = colors,

            shadow=True, startangle=90,

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.set_title("({},{})".format(x,y))





xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

axes.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)



plt.show()

enter image description here

edited Nov 30 '18 at 21:18

answered Nov 20 '18 at 0:30

ImportanceOfBeingErnest

127k12131207

I see two options:

A. use a single axes

You may plot all pie charts to the same axes. Use the center and radius argument to scale the pies in data coordinates. This could look as follows.

import matplotlib.pyplot as plt

data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]



labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.2]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, ax = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax.pie(d, explode=explode, colors = colors, center=(x,y), 

            shadow=True, startangle=90, radius=radius, 

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.annotate("({},{})".format(x,y), xy = (x, y+radius), 

                xytext = (0,5), textcoords="offset points", ha="center")



ax.set_frame_on(True)

xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

ax.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)

fig.tight_layout()        

plt.show()

enter image description here

B. use inset axes

import matplotlib.pyplot as plt

from mpl_toolkits.axes_grid1.inset_locator import inset_axes



data = {}

data[(10, 10)] = [0.45, 0.30, 0.25]

data[(10, 20)] = [0.2, 0.5, 0.3]

data[(20, 10)] = [0.1, 0.3, 0.6]

data[(20, 20)] = [0.6, 0.15, 0.25]

data[(30, 10)] = [0.4, 0.35, 0.25]

data[(30, 20)] = [0.5, 0.1, 0.4]





labels = ['Frogs', 'Hogs', 'Dogs']

explode = [.05]*3

colors = ['gold', 'beige', 'lightcoral']

radius = 4

margin = 2



fig, axes = plt.subplots()



for x,y in data.keys():

    d = data[(x,y)]

    ax = inset_axes(axes, "100%", "100%", 

                    bbox_to_anchor=(x-radius, y-radius, radius*2, radius*2),

                    bbox_transform=axes.transData, loc="center")

    ax.pie(d, explode=explode, colors = colors,

            shadow=True, startangle=90,

            wedgeprops = {'linewidth':1, 'edgecolor':'Black'})



    ax.set_title("({},{})".format(x,y))





xaxis = list(set([x for x,y in data.keys()]))

yaxis = list(set([y for x,y in data.keys()]))

axes.set(aspect="equal", 

       xlim=(min(xaxis)-radius-margin,max(xaxis)+radius+margin), 

       ylim=(min(yaxis)-radius-margin,max(yaxis)+radius+margin), 

       xticks=xaxis, yticks=yaxis)



plt.show()

enter image description here

edited Nov 30 '18 at 21:18

answered Nov 20 '18 at 0:30

ImportanceOfBeingErnest

127k12131207

edited Nov 30 '18 at 21:18

answered Nov 20 '18 at 0:30

ImportanceOfBeingErnest

127k12131207

answered Nov 20 '18 at 0:30

ImportanceOfBeingErnest

127k12131207

answered Nov 20 '18 at 0:30

ImportanceOfBeingErnest

127k12131207

Both of your methods work perfectly fine for pie charts since you're working with radius. Is there a more general solution that works for any type of graph where radius is irrelevant (e.g., line plots)?

– user3076813
Nov 26 '18 at 21:40

Sure, just rename radius to something else.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:43

Sorry. I might be talking about something very obvious that is not very clear to me. I meant radius is a keyword argument for function pie, which determines the size of the pie, but we may not have such a single parameter to set the size for other plot types (like a linear).

– user3076813
Nov 26 '18 at 21:53

Ok, obviously you cannot use the solution A. For solution B. there is no radius defined inside of pie. Hence you can just ignore it.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:54

Is it possible to get around the problem of not being able to use tight_layout for Method B through using add_axes and set_position instead of using inset_axes?

– user3076813
Nov 27 '18 at 18:31

|
show 4 more comments

Both of your methods work perfectly fine for pie charts since you're working with radius. Is there a more general solution that works for any type of graph where radius is irrelevant (e.g., line plots)?

– user3076813
Nov 26 '18 at 21:40

Sure, just rename radius to something else.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:43

Sorry. I might be talking about something very obvious that is not very clear to me. I meant radius is a keyword argument for function pie, which determines the size of the pie, but we may not have such a single parameter to set the size for other plot types (like a linear).

– user3076813
Nov 26 '18 at 21:53

Ok, obviously you cannot use the solution A. For solution B. there is no radius defined inside of pie. Hence you can just ignore it.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:54

Is it possible to get around the problem of not being able to use tight_layout for Method B through using add_axes and set_position instead of using inset_axes?

– user3076813
Nov 27 '18 at 18:31

Both of your methods work perfectly fine for pie charts since you're working with radius. Is there a more general solution that works for any type of graph where radius is irrelevant (e.g., line plots)?

– user3076813
Nov 26 '18 at 21:40

Sure, just rename radius to something else.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:43

Sorry. I might be talking about something very obvious that is not very clear to me. I meant radius is a keyword argument for function pie, which determines the size of the pie, but we may not have such a single parameter to set the size for other plot types (like a linear).

– user3076813
Nov 26 '18 at 21:53

Ok, obviously you cannot use the solution A. For solution B. there is no radius defined inside of pie. Hence you can just ignore it.

– ImportanceOfBeingErnest
Nov 26 '18 at 21:54

Is it possible to get around the problem of not being able to use tight_layout for Method B through using add_axes and set_position instead of using inset_axes?

– user3076813
Nov 27 '18 at 18:31

|
show 4 more comments

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