chaksoham

fig, ax = plt.subplots(figsize=(15, 10))
animator = animation.FuncAnimation(fig, draw_barchart, frames=range(1990, 2019),interval=700)
HTML(animator.to_jshtml())
# Set up formatting for the movie files
writer = animation.FFMpegWriter(fps=10, metadata=dict(artist='Me'), bitrate=1800)
animator.save("ref.mp4", writer=writer)

chaksoham

colors = dict(zip(
    ['Latin America & Caribbean', 'South Asia', 
     'Sub-Saharan Africa', 'Europe & Central Asia', 'NA', 
     'Middle East & North Africa', 'East Asia & Pacific', 'North America'],
    ['#adb0ff', '#ffb3ff', '#90d595', '#e48381',
     '#aafbff', '#f7bb5f', '#eafb50', '#eacc10']
))

group_lk = df.set_index('name')['Region'].to_dict()

chaksoham

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.animation as animation
from IPython.display import HTML

file_name = "refugee_data.xls"
my_sheet = 'Data'