python高端实现各国GDP动态轮换图

左手的ㄟ右手 2022-11-05 10:54 150阅读 0赞

# python高端实现各国GDP动态轮换图 #

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### 文章目录 ###

*  python高端实现各国GDP动态轮换图
 *  前言效果
 *  一、准备数据等文件
 *  二、完整代码
 *   *  1.准备showGDP.py
     *  2.准备PlotUtil.py
 *  总结
 *  效果展示

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# 前言效果 #

今天我们来试一下用python实现世界各国从1960-2018年的各国的GDP展示效果！也许大家会觉得有用！

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![在这里插入图片描述][20210306043052277.gif_pic_center]

# 一、准备数据等文件 #

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1hSVE9OWQ_size_16_color_FFFFFF_t_70]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1hSVE9OWQ_size_16_color_FFFFFF_t_70 1]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1hSVE9OWQ_size_16_color_FFFFFF_t_70 2]

# 二、完整代码 #

## 1.准备showGDP.py ##

代码如下：

#coding=utf-8
    # 
    import pandas as pd
    import matplotlib.pyplot as plt
    import matplotlib.animation as animation
    import PlotUtil
    import platform
    import sys
    
    def is_country(x, fields):
    	if "v2" in sys.version:
    		x = x.encode("utf-8")
    	for field in fields:
    		if field in x:
    			return False
    	return True
    
    def main():
    	# 读取数据
    	gdp = pd.read_excel("GDP_MAP.xls")
    
    	# 筛选：去掉世界、一些地区性的数据
    	fields = ["世界", "收入国家", "地区", "南亚", "组织成员", "人口","北美", "联盟", "IBRD", "IDA", "重债穷国"]
    	gdp["is_country"] = gdp.apply(lambda x: is_country(x["Country Name"], fields), axis = 1)
    	gdp = gdp[gdp["is_country"] == True]
    
    	datas = []
    	for year in range(1960, 2019):
    		year = str(year)
    		gdp.sort_values(year, inplace = True, ascending = False)
    		print(year,"==========================================")
    		print(gdp[0:15][["Country Name", year]])
    
    		data = gdp[0:15]
    		data.sort_values(year, inplace = True, ascending = True)
    		data[year] = data[year] / 10 ** 11
    
    		datas.append([year, data[year].tolist(), data["Country Name"].tolist()])
    
    	plot = PlotUtil.Plot(datas)
    
    	
    	if "v2" in sys.version: # 如果你是用python2运行
    		plot.showGif("gdp.gif", writer = "imagemagick")
    		
    	if "v3" in sys.version: # r如果你是用python3运行
    		plot.showGif("gdp.html", writer = "html")
    
    if __name__ == '__main__':
    	main()

## 2.准备PlotUtil.py ##

代码如下（示例）：

#coding=utf-8
    import matplotlib.pyplot as plt
    from matplotlib import animation  # 动图的核心函数
    import sys
    
    class Plot(object):
    	"""docstring for Plot"""
    	def __init__(self, data):
    		# 中文显示
    		plt.rcParams['font.sans-serif'] = ['SimHei']
    		plt.rcParams['axes.unicode_minus'] = False
    		fig, ax = plt.subplots(figsize = (12,6))
    		self.fig = fig
    		self.ax = ax
    		self.data = data
    
    	def showGif(self, save_path, writer = 'imagemagick'):
    		plt.cla()
    		ani = animation.FuncAnimation(fig = self.fig,
    								  func = self.update,
    								  frames = len(self.data),
    								  init_func = self.init,
    								  interval = 0.5,
    								  blit = False,
    								  repeat = False)
    		# 不用imagemagick时，可以保存为html
    		ani.save(save_path, writer = writer, fps = 3) #
    
    	def init(self):
    		bar = self.ax.barh([], [], color = '#0CD9F1')
    		return bar
    
    	def update(self, i):
    		self.ax.cla()
    		data = self.data[i]
    		x = data[1]
    		y = data[2]
    		year = data[0]
    
    		bars = []
    		for k in range(len(x)):
    			tmp = y[k]
    			if "v2" in sys.version:
    				tmp = y[k].encode("utf-8")
    			if tmp in ["中国"]:
    				bar = self.ax.barh(k, x[k], color = 'r')
    			else:
    				bar = self.ax.barh(k, x[k], color = '#0CD9F1')
    			bars.append(bar)
    		#添加数据标签
    		for rect in bars:
    			rect = rect[0]
    			w = rect.get_width()
    			self.ax.text(w, rect.get_y() + rect.get_height() / 2, '%.1f' % float(w), ha = 'left',va = 'center')
    
    		#设置Y轴刻度线标签
    		self.ax.set_title(year)
    		self.ax.set_yticks(range(len(y)))
    		self.ax.set_yticklabels(y)
    		if "v2" in sys.version:
    			self.ax.set_xlabel("GDP(百亿)".decode("utf-8"))
    		else:
    			self.ax.set_xlabel("GDP(百亿)")
    		return bar

> 写的时候，你可以根据自己的喜好，修改代码的效果，以及相应的HEX，都是根据个人哈，如果需要多元化，还可以继续把根据每个国家的不用，利用flag进行颜色变换，效果会更好！这里我就不赘述了！

> **最后运行，打开html文件，即可达到你要的效果！**

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# 总结 #

# 效果展示 #

![在这里插入图片描述][20210306043631712.gif_pic_center]

> **这是最后的效果，也希望大家多多支持！谢谢大家！**  
> **特别注意的是，请大家在运行的时候，放在同一个路径下。**

[20210306043052277.gif_pic_center]: /images/20221023/4acc2f3b5a4a4d158ae088a1b9140de5.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1hSVE9OWQ_size_16_color_FFFFFF_t_70]: /images/20221023/91475cd491ec467982648ef856887c3b.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1hSVE9OWQ_size_16_color_FFFFFF_t_70 1]: /images/20221023/b8ef71efc85a4bf293b9321c7a60e393.png
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[20210306043631712.gif_pic_center]: /images/20221023/3dbde23d258c4d3ab1ad22a0db7446ba.png