PaddlePaddle aprendizaje básico 3

Dibuja un histograma de la distribución regional de jugadores.

import matplotlib.pyplot as plt
import numpy as np 
import json
import matplotlib.font_manager as font_manager

#显示matplotlib生成的图形
%matplotlib inline

with open('data/data31557/20200422.json', 'r', encoding='UTF-8') as file:
         json_array = json.loads(file.read())

#绘制小姐姐区域分布柱状图,x轴为地区，y轴为该区域的小姐姐数量

zones = []
for star in json_array:
    zone = star['zone']
    zones.append(zone)
print(len(zones))
print(zones)


zone_list = []
count_list = []

for zone in zones:
    if zone not in zone_list:
        count = zones.count(zone)
        zone_list.append(zone)
        count_list.append(count)

print(zone_list)
print(count_list)

# 设置显示中文
plt.rcParams['font.sans-serif'] = ['SimHei'] # 指定默认字体

plt.figure(figsize=(20,15))

plt.bar(range(len(count_list)), count_list,color='r',tick_label=zone_list,facecolor='#9999ff',edgecolor='white')

# 这里是调节横坐标的倾斜度，rotation是度数，以及设置刻度字体大小
plt.xticks(rotation=45,fontsize=20)
plt.yticks(fontsize=20)

plt.legend()
plt.title('''《青春有你2》参赛选手''',fontsize = 24)
plt.savefig('/home/aistudio/work/result/bar_result.jpg')
plt.show()

import matplotlib.pyplot as plt
import numpy as np 
import json
import matplotlib.font_manager as font_manager
import pandas as pd

#显示matplotlib生成的图形
%matplotlib inline


df = pd.read_json('data/data31557/20200422.json')
#print(df)

grouped=df['name'].groupby(df['zone'])
s = grouped.count()

zone_list = s.index
count_list = s.values


# 设置显示中文
plt.rcParams['font.sans-serif'] = ['SimHei'] # 指定默认字体

plt.figure(figsize=(20,15))

plt.bar(range(len(count_list)), count_list,color='r',tick_label=zone_list,facecolor='#9999ff',edgecolor='white')

# 这里是调节横坐标的倾斜度，rotation是度数，以及设置刻度字体大小
plt.xticks(rotation=45,fontsize=20)
plt.yticks(fontsize=20)

plt.legend()
plt.title('''《青春有你2》参赛选手''',fontsize = 24)
plt.savefig('/home/aistudio/work/result/bar_result02.jpg')
plt.show()

---

import matplotlib.pyplot as plt
import numpy as np 
import json
import matplotlib.font_manager as font_manager
import pandas as pd

#显示matplotlib生成的图形
%matplotlib inline

df = pd.read_json('data/data31557/20200422.json')
one = 0
two = 0
three = 0
four = 0
weight = df['weight']

for w in weight:
    temp = int(w[0]+w[1])
    if (temp <= 45):
        one += 1
    elif (temp <= 50):
        two += 1
    elif (temp <= 55):
        three += 1
    else:
        four += 1


plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签

labels = ['<=45kg','45~50kg','50~55kg','>55kg']
sizes = [one,two,three,four]
explode = (0,0.1,0,0)
plt.pie(sizes,explode=explode,labels=labels,autopct='%1.1f%%',shadow=True,startangle=150)
plt.title("体重分析")
plt.axis('equal')
plt.show()