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PYTHON繪制雷達(dá)圖代碼實(shí)例

更新時(shí)間：2019年10月15日 09:59:48 作者：百里屠蘇top

這篇文章主要介紹了PYTHON繪制雷達(dá)圖代碼實(shí)例,文中通過示例代碼介紹的非常詳細(xì)，對(duì)大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價(jià)值,需要的朋友可以參考下

1、雷達(dá)圖

import matplotlib.pyplot as plt
import numpy as np

values = [0.09,-0.05,0.20,-0.02,0.08,0.09,0.03,0.027]
x = np.linspace(0,2*np.pi,9)[:-1]
c = np.random.random(size=(8,3))
fig = plt.figure()
plt.axes(polar=True)
#獲取當(dāng)前的axes
print(plt.gca())
#繪圖
plt.bar(x,values,width=0.5,color=c,align='center')
plt.scatter(x,values,marker='o',c='black')
#添加文本
plt.figtext(0.03,0.7,s='陸地面積增長(zhǎng)指數(shù)',fontproperties='KaiTi',fontsize=22,rotation='vertical',verticalalignment='center',horizontalalignment='center')

plt.ylim(-0.05, 0.25)

labels = np.array(['省1','省2','省3','省4','省5','省6','省7','研究區(qū)'])
dataLength = 8
angles = np.linspace(0, 2*np.pi, dataLength, endpoint=False)
plt.thetagrids(angles * 180/np.pi, labels,fontproperties='KaiTi',fontsize=18)

#添加注釋
# plt.annotate(s='省',xy=(0,0.09),xytext=(0,0.28),fontproperties='KaiTi',fontsize=18)
# plt.annotate(s='省',xy=(0,-0.05),xytext=(np.pi/4,0.28),fontproperties='KaiTi',fontsize=18)
# plt.annotate(s='省',xy=(0,0.20),xytext=(np.pi/2,0.28),fontproperties='KaiTi',fontsize=18)
# plt.annotate(s='省',xy=(0,-0.02),xytext=(3*np.pi/4,0.33),fontproperties='KaiTi',fontsize=18)
# plt.annotate(s='省',xy=(0,0.08),xytext=(np.pi,0.38),fontproperties='KaiTi',fontsize=18)
# plt.annotate(s='省',xy=(0,0.09),xytext=(np.pi*5/4,0.35),fontproperties='KaiTi',fontsize=18)
# plt.annotate(s='前江省',xy=(0,0.03),xytext=(np.pi*3/2,0.30),fontproperties='KaiTi',fontsize=18)
# plt.annotate(s='研究區(qū)',xy=(0,0.027),xytext=(np.pi*7/4,0.28),fontproperties='KaiTi',fontsize=18)
#設(shè)置網(wǎng)格線樣式
plt.grid(c='gray',linestyle='--',)


# y1 = [-0.05,0.0,0.05,0.10,0.15,0.20,0.25]
# lai=fig.add_axes([0.12,0.01,0.8,0.98])
# lai.patch.set_alpha(0.25)
# lai.set_ylim(-0.05, 0.25)
#顯示
plt.show()

結(jié)果：

2、實(shí)例2

import matplotlib.pyplot as plt
import numpy as np

plt.rcParams['font.sans-serif'] = ['SimHei'] # 圖例中文問題
plt.rcParams['axes.unicode_minus'] = False  #正負(fù)號(hào)問題


x= np.array(['1省','2省','3省','4省','5省','6省','7省','研究區(qū)'])
y1 = np.array([5.5, 7.2, 17.3, 15.0, 10.8, 21.8, 3.4, 81.4])
y2 = [0, -27.5, -3.9, -18.0, -0.2, -1.4, -1.7, -52.1]
y3 = [5.5, -20.2, 13.4, -2.9, 10.6, 20.4, 1.7, 28.5]


loc=[0.12,0.15,0.65,0.6]
plt.axes(loc)

plt.bar(x,y1,0.4,label=u'退')
plt.bar(x,y2,0.4,label=u'進(jìn)')
plt.plot(x,y3,marker='o',markersize='6',c='black')

y=np.array([-50, 0 ,50])
plt.xticks(x,fontproperties='KaiTi',fontsize=8)
plt.yticks(y)
plt.grid(c='gray',linestyle='--',alpha=0.25)

plt.figtext(0.02,0.45,s='變化（km2）',fontproperties='KaiTi',fontsize=14,rotation='vertical',verticalalignment='center',horizontalalignment='center')


#frameon=False 去掉圖例邊框
plt.legend(loc='center', bbox_to_anchor=(1.2, 0.5),ncol=1,
      frameon=False)

plt.show()

結(jié)果：