Change the Formatting of labels inside the legend of matplotlib

I want to customize the Legends in matplotlib.

I want to order the labels inside the legends horizontally and remove the handle as well. Color of the labels must be same as the line color.

Currently I have set the handle as invisible, but not able to change the ordering of labels.

Looking forward for expert advice.

Expected output:

enter image description here

What I have achieved so far is the following,

import numpy as np

import matplotlib.pyplot as plt

x = np.linspace(0, 20, 1000)

y1 = np.sin(x)

y2 = np.cos(x)



plt.figure(figsize=(10,7))

lines=

lines.append(plt.plot(x, y1, '-b', label='sine')[0])

lines.append(plt.plot(x, y2, '-r', label='cosine')[0])

plt.legend(loc='upper left')

plt.ylim(-1.5, 2.0)

for item_legend,handle,line in zip(plt.legend().get_texts(),plt.gca().get_legend().legendHandles,lines):

    plt.setp(item_legend, color=line.get_color(),size=30)

    handle.set_visible(False)



plt.show()

output:

enter image description here

Thanks.

EDIT:
If I set

plt.legend(loc='upper left', ncols=2)

Labels are aligned in one row but all the previous formatting gets removed.

edited Jan 1 at 16:07

asked Jan 1 at 15:46

AI_Learning

3,57921033

add a comment |

I want to customize the Legends in matplotlib.

I want to order the labels inside the legends horizontally and remove the handle as well. Color of the labels must be same as the line color.

Currently I have set the handle as invisible, but not able to change the ordering of labels.

Looking forward for expert advice.

Expected output:

enter image description here

What I have achieved so far is the following,

import numpy as np

import matplotlib.pyplot as plt

x = np.linspace(0, 20, 1000)

y1 = np.sin(x)

y2 = np.cos(x)



plt.figure(figsize=(10,7))

lines=

lines.append(plt.plot(x, y1, '-b', label='sine')[0])

lines.append(plt.plot(x, y2, '-r', label='cosine')[0])

plt.legend(loc='upper left')

plt.ylim(-1.5, 2.0)

for item_legend,handle,line in zip(plt.legend().get_texts(),plt.gca().get_legend().legendHandles,lines):

    plt.setp(item_legend, color=line.get_color(),size=30)

    handle.set_visible(False)



plt.show()

output:

enter image description here

Thanks.

EDIT:
If I set

plt.legend(loc='upper left', ncols=2)

Labels are aligned in one row but all the previous formatting gets removed.

edited Jan 1 at 16:07

asked Jan 1 at 15:46

AI_Learning

3,57921033

add a comment |

I want to customize the Legends in matplotlib.

I want to order the labels inside the legends horizontally and remove the handle as well. Color of the labels must be same as the line color.

Currently I have set the handle as invisible, but not able to change the ordering of labels.

Looking forward for expert advice.

Expected output:

enter image description here

What I have achieved so far is the following,

import numpy as np

import matplotlib.pyplot as plt

x = np.linspace(0, 20, 1000)

y1 = np.sin(x)

y2 = np.cos(x)



plt.figure(figsize=(10,7))

lines=

lines.append(plt.plot(x, y1, '-b', label='sine')[0])

lines.append(plt.plot(x, y2, '-r', label='cosine')[0])

plt.legend(loc='upper left')

plt.ylim(-1.5, 2.0)

for item_legend,handle,line in zip(plt.legend().get_texts(),plt.gca().get_legend().legendHandles,lines):

    plt.setp(item_legend, color=line.get_color(),size=30)

    handle.set_visible(False)



plt.show()

output:

enter image description here

Thanks.

EDIT:
If I set

plt.legend(loc='upper left', ncols=2)

Labels are aligned in one row but all the previous formatting gets removed.

edited Jan 1 at 16:07

asked Jan 1 at 15:46

AI_Learning

3,57921033

I want to customize the Legends in matplotlib.

I want to order the labels inside the legends horizontally and remove the handle as well. Color of the labels must be same as the line color.

Currently I have set the handle as invisible, but not able to change the ordering of labels.

Looking forward for expert advice.

Expected output:

enter image description here

What I have achieved so far is the following,

import numpy as np

import matplotlib.pyplot as plt

x = np.linspace(0, 20, 1000)

y1 = np.sin(x)

y2 = np.cos(x)



plt.figure(figsize=(10,7))

lines=

lines.append(plt.plot(x, y1, '-b', label='sine')[0])

lines.append(plt.plot(x, y2, '-r', label='cosine')[0])

plt.legend(loc='upper left')

plt.ylim(-1.5, 2.0)

for item_legend,handle,line in zip(plt.legend().get_texts(),plt.gca().get_legend().legendHandles,lines):

    plt.setp(item_legend, color=line.get_color(),size=30)

    handle.set_visible(False)



plt.show()

output:

enter image description here

Thanks.

EDIT:
If I set

plt.legend(loc='upper left', ncols=2)

Labels are aligned in one row but all the previous formatting gets removed.

python matplotlib

edited Jan 1 at 16:07

asked Jan 1 at 15:46

AI_Learning

3,57921033

edited Jan 1 at 16:07

asked Jan 1 at 15:46

AI_Learning

3,57921033

edited Jan 1 at 16:07

asked Jan 1 at 15:46

AI_Learning

3,57921033

asked Jan 1 at 15:46

AI_Learning

3,57921033

asked Jan 1 at 15:46

AI_Learning

3,57921033

add a comment |

1 Answer
1

active

oldest

votes

This is how you can do it. The key to left alignment here is to use handletextpad=0 and handlelength=0. The columnspacing here controls the horizontal space between the two columns of the legend. Putting the handle length to 0 would simply show the legend texts. You can then finally adapt the color of the legend texts according to the respective curves.

l = plt.legend(loc='upper left', ncol=2, handlelength=0, handletextpad=0, columnspacing=0.5, fontsize=36)



handles = plt.gca().get_legend().legendHandles



for i, text in enumerate(l.get_texts()):

    text.set_color(lines[i].get_color())

EDIT (based on the comments)

You can avoid manually specifying the number of columns by using the length of the lines as ncol while defining the legend as

l = plt.legend(loc='upper left',ncol=len(lines), handlelength=-0.2, columnspacing=-0.2, fontsize=36)

You can also remove/hide the handle by using the transparency parameter alpha by setting it to 0 as

handles[i].set_alpha(0)

or by hiding it as

handles[i].set_visible(False)

enter image description here

edited Jan 1 at 17:05

answered Jan 1 at 16:15

Bazingaa

15.9k21328

Thanks @Bazingaa. 1. can we assign n_cols value from some parameter of legends. 2. Is there a better way to remove the handle, instead of making it invisible - guess that's the reason for left alignment problem.

– AI_Learning
Jan 1 at 16:39

1

@AI_Learning: Check my edit in the answer

– Bazingaa
Jan 1 at 17:03

Really hard for me to tell this. transparency = 0 is also similar to set_visible as false. Can we set it None or something so that left alignment works properly.

– AI_Learning
Jan 1 at 17:05

@AI_Learning: I got it. Check my new edit and the corresponding figure

– Bazingaa
Jan 1 at 17:06

1

The key to left alignment here is handletextpad =0 and handlelength=0

– Bazingaa
Jan 1 at 17:06

add a comment |

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1 Answer
1

active

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votes

1 Answer
1

active

oldest

votes

l = plt.legend(loc='upper left', ncol=2, handlelength=0, handletextpad=0, columnspacing=0.5, fontsize=36)



handles = plt.gca().get_legend().legendHandles



for i, text in enumerate(l.get_texts()):

    text.set_color(lines[i].get_color())

EDIT (based on the comments)

You can avoid manually specifying the number of columns by using the length of the lines as ncol while defining the legend as

l = plt.legend(loc='upper left',ncol=len(lines), handlelength=-0.2, columnspacing=-0.2, fontsize=36)

You can also remove/hide the handle by using the transparency parameter alpha by setting it to 0 as

handles[i].set_alpha(0)

or by hiding it as

handles[i].set_visible(False)

enter image description here

edited Jan 1 at 17:05

answered Jan 1 at 16:15

Bazingaa

15.9k21328

Thanks @Bazingaa. 1. can we assign n_cols value from some parameter of legends. 2. Is there a better way to remove the handle, instead of making it invisible - guess that's the reason for left alignment problem.

– AI_Learning
Jan 1 at 16:39

1

@AI_Learning: Check my edit in the answer

– Bazingaa
Jan 1 at 17:03

Really hard for me to tell this. transparency = 0 is also similar to set_visible as false. Can we set it None or something so that left alignment works properly.

– AI_Learning
Jan 1 at 17:05

@AI_Learning: I got it. Check my new edit and the corresponding figure

– Bazingaa
Jan 1 at 17:06

1

The key to left alignment here is handletextpad =0 and handlelength=0

– Bazingaa
Jan 1 at 17:06

add a comment |

l = plt.legend(loc='upper left', ncol=2, handlelength=0, handletextpad=0, columnspacing=0.5, fontsize=36)



handles = plt.gca().get_legend().legendHandles



for i, text in enumerate(l.get_texts()):

    text.set_color(lines[i].get_color())

EDIT (based on the comments)

You can avoid manually specifying the number of columns by using the length of the lines as ncol while defining the legend as

l = plt.legend(loc='upper left',ncol=len(lines), handlelength=-0.2, columnspacing=-0.2, fontsize=36)

You can also remove/hide the handle by using the transparency parameter alpha by setting it to 0 as

handles[i].set_alpha(0)

or by hiding it as

handles[i].set_visible(False)

enter image description here

edited Jan 1 at 17:05

answered Jan 1 at 16:15

Bazingaa

15.9k21328

Thanks @Bazingaa. 1. can we assign n_cols value from some parameter of legends. 2. Is there a better way to remove the handle, instead of making it invisible - guess that's the reason for left alignment problem.

– AI_Learning
Jan 1 at 16:39

1

@AI_Learning: Check my edit in the answer

– Bazingaa
Jan 1 at 17:03

Really hard for me to tell this. transparency = 0 is also similar to set_visible as false. Can we set it None or something so that left alignment works properly.

– AI_Learning
Jan 1 at 17:05

@AI_Learning: I got it. Check my new edit and the corresponding figure

– Bazingaa
Jan 1 at 17:06

1

The key to left alignment here is handletextpad =0 and handlelength=0

– Bazingaa
Jan 1 at 17:06

add a comment |

l = plt.legend(loc='upper left', ncol=2, handlelength=0, handletextpad=0, columnspacing=0.5, fontsize=36)



handles = plt.gca().get_legend().legendHandles



for i, text in enumerate(l.get_texts()):

    text.set_color(lines[i].get_color())

EDIT (based on the comments)

You can avoid manually specifying the number of columns by using the length of the lines as ncol while defining the legend as

l = plt.legend(loc='upper left',ncol=len(lines), handlelength=-0.2, columnspacing=-0.2, fontsize=36)

You can also remove/hide the handle by using the transparency parameter alpha by setting it to 0 as

handles[i].set_alpha(0)

or by hiding it as

handles[i].set_visible(False)

enter image description here

edited Jan 1 at 17:05

answered Jan 1 at 16:15

Bazingaa

15.9k21328

l = plt.legend(loc='upper left', ncol=2, handlelength=0, handletextpad=0, columnspacing=0.5, fontsize=36)



handles = plt.gca().get_legend().legendHandles



for i, text in enumerate(l.get_texts()):

    text.set_color(lines[i].get_color())

EDIT (based on the comments)

You can avoid manually specifying the number of columns by using the length of the lines as ncol while defining the legend as

l = plt.legend(loc='upper left',ncol=len(lines), handlelength=-0.2, columnspacing=-0.2, fontsize=36)

You can also remove/hide the handle by using the transparency parameter alpha by setting it to 0 as

handles[i].set_alpha(0)

or by hiding it as

handles[i].set_visible(False)

enter image description here

edited Jan 1 at 17:05

answered Jan 1 at 16:15

Bazingaa

15.9k21328

edited Jan 1 at 17:05

answered Jan 1 at 16:15

Bazingaa

15.9k21328

answered Jan 1 at 16:15

Bazingaa

15.9k21328

answered Jan 1 at 16:15

Bazingaa

15.9k21328

Thanks @Bazingaa. 1. can we assign n_cols value from some parameter of legends. 2. Is there a better way to remove the handle, instead of making it invisible - guess that's the reason for left alignment problem.

– AI_Learning
Jan 1 at 16:39

1

@AI_Learning: Check my edit in the answer

– Bazingaa
Jan 1 at 17:03

Really hard for me to tell this. transparency = 0 is also similar to set_visible as false. Can we set it None or something so that left alignment works properly.

– AI_Learning
Jan 1 at 17:05

@AI_Learning: I got it. Check my new edit and the corresponding figure

– Bazingaa
Jan 1 at 17:06

1

The key to left alignment here is handletextpad =0 and handlelength=0

– Bazingaa
Jan 1 at 17:06

add a comment |

Thanks @Bazingaa. 1. can we assign n_cols value from some parameter of legends. 2. Is there a better way to remove the handle, instead of making it invisible - guess that's the reason for left alignment problem.

– AI_Learning
Jan 1 at 16:39

1

@AI_Learning: Check my edit in the answer

– Bazingaa
Jan 1 at 17:03

Really hard for me to tell this. transparency = 0 is also similar to set_visible as false. Can we set it None or something so that left alignment works properly.

– AI_Learning
Jan 1 at 17:05

@AI_Learning: I got it. Check my new edit and the corresponding figure

– Bazingaa
Jan 1 at 17:06

1

The key to left alignment here is handletextpad =0 and handlelength=0

– Bazingaa
Jan 1 at 17:06

Thanks @Bazingaa. 1. can we assign n_cols value from some parameter of legends. 2. Is there a better way to remove the handle, instead of making it invisible - guess that's the reason for left alignment problem.

– AI_Learning
Jan 1 at 16:39

@AI_Learning: Check my edit in the answer

– Bazingaa
Jan 1 at 17:03

Really hard for me to tell this. transparency = 0 is also similar to set_visible as false. Can we set it None or something so that left alignment works properly.

– AI_Learning
Jan 1 at 17:05

@AI_Learning: I got it. Check my new edit and the corresponding figure

– Bazingaa
Jan 1 at 17:06

The key to left alignment here is handletextpad =0 and handlelength=0

– Bazingaa
Jan 1 at 17:06

add a comment |

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