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• How to visualize matplotlib animation in Jupyter notebook

  23 avril 2020, par anonymous13

  I am trying to create a racing bar chart similar to the one in the link (https://towardsdatascience.com/bar-chart-race-in-python-with-matplotlib-8e687a5c8a41). 
However I am unable to see the animation in my Jupyter notebook

  



  code

  



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

df = pd.read_csv('https://gist.githubusercontent.com/johnburnmurdoch/4199dbe55095c3e13de8d5b2e5e5307a/raw/fa018b25c24b7b5f47fd0568937ff6c04e384786/city_populations', 
                 usecols=['name', 'group', 'year', 'value'])

current_year = 2018
dff = (df[df['year'].eq(current_year)]
       .sort_values(by='value', ascending=True)
       .head(10))

colors = dict(zip(
    ['India', 'Europe', 'Asia', 'Latin America',
     'Middle East', 'North America', 'Africa'],
    ['#adb0ff', '#ffb3ff', '#90d595', '#e48381',
     '#aafbff', '#f7bb5f', '#eafb50']
))
group_lk = df.set_index('name')['group'].to_dict()


fig, ax = plt.subplots(figsize=(15, 8))
def draw_barchart(year):
    dff = df[df['year'].eq(year)].sort_values(by='value', ascending=True).tail(10)
    ax.clear()
    ax.barh(dff['name'], dff['value'], color=[colors[group_lk[x]] for x in dff['name']])
    dx = dff['value'].max() / 200
    for i, (value, name) in enumerate(zip(dff['value'], dff['name'])):
        ax.text(value-dx, i,     name,           size=14, weight=600, ha='right', va='bottom')
        ax.text(value-dx, i-.25, group_lk[name], size=10, color='#444444', ha='right', va='baseline')
        ax.text(value+dx, i,     f'{value:,.0f}',  size=14, ha='left',  va='center')
    # ... polished styles
    ax.text(1, 0.4, year, transform=ax.transAxes, color='#777777', size=46, ha='right', weight=800)
    ax.text(0, 1.06, 'Population (thousands)', transform=ax.transAxes, size=12, color='#777777')
    ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))
    ax.xaxis.set_ticks_position('top')
    ax.tick_params(axis='x', colors='#777777', labelsize=12)
    ax.set_yticks([])
    ax.margins(0, 0.01)
    ax.grid(which='major', axis='x', linestyle='-')
    ax.set_axisbelow(True)
    ax.text(0, 1.12, 'The most populous cities in the world from 1500 to 2018',
            transform=ax.transAxes, size=24, weight=600, ha='left')
    ax.text(1, 0, 'by @pratapvardhan; credit @jburnmurdoch', transform=ax.transAxes, ha='right',
            color='#777777', bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
    plt.box(False)

draw_barchart(2018)

import matplotlib.animation as animation
from IPython.display import HTML
fig, ax = plt.subplots(figsize=(15, 8))
animator = animation.FuncAnimation(fig, draw_barchart, frames=range(1968, 2019))
HTML(animator.to_jshtml()) 



  



  Below is what I tried using and the errors

  



  HTML(animator.to_jshtml())  <-- Static output with buttons unable to visualize animation
plt.rcParams["animation.html"] = "jshtml"  <- no error and output
HTML(animator.to_html5_video())  <---Requested MovieWriter (ffmpeg) not available 



  



  Note I have FFmpeg installed in my system.
Can you help me with the issue

  


• Animated line chart with pandas, matplotlib and ffmpeg

  10 avril 2020, par Mark K

  In producing an animated line chart, I have below data and codes.

  



  But when the chart produced, it shows no line. What did I do wrong ?

  



  Thank you.

  



  import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.animation as animation

title = 'Heroin Overdoses'

data = {'Year' : ["1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016"], 
'Heroin Overdoses' : [280,443,413,486,475,148,197,170,448,103,137,160,483,356,352,300,466,278]}
overdose = pd.DataFrame(data)

Writer = animation.writers['ffmpeg']
writer = Writer(fps=20, metadata=dict(artist='Me'), bitrate=1800)

fig = plt.figure(figsize=(10,6))
plt.xlim(1999, 2016)
plt.ylim(np.min(overdose)[0], np.max(overdose)[0])
plt.xlabel('Year',fontsize=20)
plt.ylabel(title,fontsize=20)
plt.title('Heroin Overdoses per Year',fontsize=20)

def animate(i):
    data = overdose.iloc[:int(i+1)] #select data range
    p = sns.lineplot(x=data.index, y=data[title], data=data, color="r")
    p.tick_params(labelsize=17)
    plt.setp(p.lines,linewidth=7)

ani = matplotlib.animation.FuncAnimation(fig, animate, frames=17, repeat=True)

ani.save('C:\\folder\\line chart.mp4', writer=writer)


  


• How to use YouTube-dl to stream from Bloomberg TV ?

  1er janvier 2020, par Mr. Demetrius Michael

  Any help would be appreciated !

  This isn’t getting the correct stream from Bloomberg LiveTV, and I’m unsure why and how to fix.

  $ youtube-dl https://www.bloomberg.com/live

  Here’s a snippet of the errors that I get from that link :

  [mp4 @ 0x7ffd13860c00] Invalid DTS: 9009 PTS: 3003 in output stream 0:0, replacing by guess
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 12012 PTS: 9009 in output stream 0:0, replacing by guess
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 21021 PTS: 15015 in output stream 0:0, replacing by guess
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 24024 PTS: 21021 in output stream 0:0, replacing by guess
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 33033 PTS: 27027 in output stream 0:0, replacing by guess
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 36036 PTS: 33033 in output stream 0:0, replacing by guess
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 45045 PTS: 39039 in output stream 0:0, replacing by guess
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 48048 PTS: 45045 in output stream 0:0, replacing by guess
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 57057 PTS: 51051 in output stream 0:0, replacing by guess
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 60060 PTS: 57057 in output stream 0:0, replacing by guess
  
  [mpegts @ 0x7ffd14810000] Invalid timestamps stream=0, pts=963063, dts=969069, size=12512
  
  [mpegts @ 0x7ffd14810000] Invalid timestamps stream=0, pts=969069, dts=972072, size=12513
  
  [hls @ 0x7ffd14000400] Invalid timestamps stream=0, pts=963063, dts=969069, size=12512
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 69069 PTS: 63063 in output stream 0:0, replacing by guess
  
  [hls @ 0x7ffd14000400] Invalid timestamps stream=0, pts=969069, dts=972072, size=12513
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 72072 PTS: 69069 in output stream 0:0, replacing by guess
  
  [mpegts @ 0x7ffd14810000] Invalid timestamps stream=0, pts=975075, dts=981081, size=12512
  
  [mpegts @ 0x7ffd14810000] Invalid timestamps stream=0, pts=981081, dts=984084, size=12513
  
  [hls @ 0x7ffd14000400] Invalid timestamps stream=0, pts=975075, dts=981081, size=12512
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 81081 PTS: 75075 in output stream 0:0, replacing by guess
  
  [hls @ 0x7ffd14000400] Invalid timestamps stream=0, pts=981081, dts=984084, size=12513
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 84084 PTS: 81081 in output stream 0:0, replacing by guess
  
  [mpegts @ 0x7ffd14810000] Invalid timestamps stream=0, pts=987087, dts=993093, size=12512
  
  [mpegts @ 0x7ffd14810000] Invalid timestamps stream=0, pts=993093, dts=996096, size=12513
  
  [hls @ 0x7ffd14000400] Invalid timestamps stream=0, pts=987087, dts=993093, size=12512
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 93093 PTS: 87087 in output stream 0:0, replacing by guess
  
  [hls @ 0x7ffd14000400] Invalid timestamps stream=0, pts=993093, dts=996096, size=12513
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 96096 PTS: 93093 in output stream 0:0, replacing by guess
  
  [mpegts @ 0x7ffd14810000] Invalid timestamps stream=0, pts=999099, dts=1005105, size=12512
  
  [mpegts @ 0x7ffd14810000] Invalid timestamps stream=0, pts=1005105, dts=1008108, size=12513
  
  [hls @ 0x7ffd14000400] Invalid timestamps stream=0, pts=999099, dts=1005105, size=12512
  
  [mp4 @ 0x7ffd13860c00] Invalid DTS: 105105 PTS: 99099 in output stream 0:0, replacing by guess
  
  [hls @ 0x7ffd14000400] Invalid timestamps stream=0, pts=1005105, dts=1008108, size=12513

  Ideally I would be able to get all of their available programming :

  https://www.bloomberg.com/live/us
  
  https://www.bloomberg.com/live/us/btv
  
  https://www.bloomberg.com/live/europe
  
  https://www.bloomberg.com/live/asia
  
  https://www.bloomberg.com/live/australia
  
  https://www.bloomberg.com/live/stream
  
  https://www.bloomberg.com/live/emea
  
  https://www.bloomberg.com/live/asia_stream
  
  https://www.bloomberg.com/live/politics