超燃动态可视化条形图源码及效果图

不多废话，直接上代码： 

import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker

import matplotlib.colors as mc
import colorsys
from random import randint
import matplotlib.animation as animation
from IPython.core.display import HTML
import re
import pdb

df = pd.read_csv('shares/data/World 1960-2016GDP1.csv',encoding = "gbk",usecols=['country','year','value'])


df= df[df['year']>1980].copy()
#为了更平滑的效果，对数据进行插值处理
#先对数据进行转置
#函数解释见https://blog.csdn.net/cxd3341/article/details/105016903
df = df.pivot(index='country',columns='year',values='value')
df = df.reset_index()

下图是数据插值代码： 

for p in range(3):
    i=0
    while i

为每个国家都随机配置条形图颜色： 

def transform_color(color, amount = 0.5):

    try:
        c = mc.cnames[color]
    except:
        c = color
        c = colorsys.rgb_to_hls(*mc.to_rgb(c))
    return colorsys.hls_to_rgb(c[0], 1 - amount * (1 - c[1]), c[2])

all_names = df['country'].unique().tolist()
random_hex_colors = []
for i in range(len(all_names)):
    random_hex_colors.append('#' + '%06X' % randint(0, 0xFFFFFF))

rgb_colors = [transform_color(i, 1) for i in random_hex_colors]
rgb_colors_opacity = [rgb_colors[x] + (1.0,) for x in range(len(rgb_colors))]
rgb_colors_dark = [transform_color(i, 1.0) for i in random_hex_colors]

 

number_of_element = 8
plt.rcParams['font.sans-serif']=['SimHei']
plt.rcParams['animation.ffmpeg_path'] ='C:/Program Files/ffmpeg-win64-static/bin/ffmpeg.exe'
fig, ax = plt.subplots(figsize=(15,9))

def draw_barchart(year):
    dff = df[df['year'].eq(year)].sort_values(by='value',ascending=True).tail(number_of_element)
    ax.clear()
    normal_colors = dict(zip(df['country'].unique(),rgb_colors_opacity))
    dark_colors = dict(zip(df['country'].unique(),rgb_colors_dark))
    
    ax.barh(dff['country'],dff['value'],color=[normal_colors[x] for x in dff['country']],height=0.4,
           edgecolor = ([dark_colors[x] for x in dff['country']]),linewidth='2')
    
    dx = dff['value'].max()/200
 
    for i, (value, country) in enumerate(zip(dff['value'],dff['country'])):
        ax.text(value + dx, i,  country,          size=14,weight=600,    ha='right',va='center')   #Tokyo: name
        ax.text(value + dx, i,     f'{value:,.0f}',size=14, ha='left',va='center')    #38194.2: value
    
        #ax.text(value + dx, i + (num_of_elements / 50), '    ' + name,
        #size = 36, weight = 'bold', ha = 'left', va = 'center', fontdict = {'fontname': 'Trebuchet MS'})
        #ax.text(value + dx, i - (num_of_elements / 50), f'    {value:,.0f}', size = 36, ha = 'left', va = 'center')
    #优化风格
    # 在画布的右中间部分添加年份
    year_unit_displayed = re.sub(r'\^(.*)', r'', str(year))
    ax.text(1.0,0.4, year_unit_displayed, transform=ax.transAxes, size=46,ha='right')
    ax.text(0,1.06,'GDP(亿美元)',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 GDP of each Country from 1981 to 2016',
           transform=ax.transAxes,size=24,weight=600,ha='left')
    ax.text(1.3,0,'by@ Poseidon;',transform=ax.transAxes,size = 20,
           ha='right',color='#777777',bbox=dict(facecolor='white',alpha=0.4,
                                               edgecolor='white'))
    plt.locator_params(axis = 'x', nbins = 4)
    plt.box(False)
    plt.subplots_adjust(left = 0.075, right = 0.75, top = 0.825, bottom = 0.05, wspace = 0.2, hspace = 0.2)
    

animator = animation.FuncAnimation(fig,draw_barchart,frames=frames_list)

HTML(animator.to_jshtml())
FFwriter=animation.FFMpegWriter(fps=10, extra_args=['-vcodec', 'libx264'])
animator.save("shares/data/WorldGDP.mp4", writer = FFwriter)

 

超燃动态可视化条形图