socialysis 0.0.0

Tool for analyzing and extracting insights from Facebook Messenger conversations

IMOJIFY

a python library that maps almost every emoji to its color image

it's used to get visual representation of emoji unicode

imojify can be used to solve the problem of plotting emojis as labels in python plotting libraries

Installation

    pip install imojify

Quickstart

Get emoji Image

from PIL import Image

from imojify import imojify

Image.open(imojify.get_img_path('😂'))

multiple emoji is also supported

from PIL import Image

from imojify import imojify

Image.open(imojify.get_img_path('😂😂😂😂'))

Plotting emojis in matplotlib

from imojify import imojify

from matplotlib import pyplot as plt 

from matplotlib.offsetbox import OffsetImage,AnnotationBbox

def offset_image(cords, emoji, ax):

    img = plt.imread(imojify.get_img_path(emoji))

    im = OffsetImage(img, zoom=0.08)

    im.image.axes = ax

    ab = AnnotationBbox(im, (cords[0], cords[1]),  frameon=False, pad=0)

    ax.add_artist(ab)







emjis = ['😂', '🤣', '😔', '😏','😍', '🥰', '😘']

values =[30, 50, 15, 29, 15, 50, 12]



fig, ax = plt.subplots(figsize=(12,8))

ax.bar(range(len(emjis)), values, width=0.5,align="center")

ax.set_xticks(range(len(emjis)))

ax.set_xticklabels([])

ax.tick_params(axis='x', which='major', pad=26)

ax.set_ylim((0, ax.get_ylim()[1]+10))



for i, e in enumerate(emjis):

    offset_image([i,values[i]+5], e, ax)