python wordcloud matplotlib(绘图)

##############matplotlib################
import maplotlib.pyplot as plt
import numpy as np 
# 绘制曲线
x = linspace(0, 10, 100)
ps = plot(x, sin(x), x, cos(x))
# 加文字
t1 = text(1, -0.5, "hello")
# 文字坐标改变
t1.set_position([7, -0.5])
# 文字移除
t1.remove()

# 曲线移除
Artist.remove()

# y轴范围
ylim(-1.1, 1.1)

##############wordcloud################import jieba
import jieba.analyse
from wordcloud import WordCloud
from wordcloud import ImageColorGenerator
import matplotlib.pyplot as plt
from scipy.misc import imread

# 输入数据
tfidf = []
inputs = open('C:\\Users\\NAU\\Desktop\\sample.txt', 'r', encoding='utf8')
outputs = open('C:\\Users\\NAU\\Desktop\\neg_tfidf.txt', 'w', encoding='utf8')
nagetive_top_words = inputs.read()
inputs.close()
# 词频tfidf权重计算
tags = jieba.analyse.extract_tags(nagetive_top_words, topK=100, withWeight=False)
text = " ".join(tags)
# 图片背景
bj_pic = imread('C:\\Users\\NAU\\Desktop\\ss.png')
# wordcloud相似词
wc = WordCloud(font_path="C:\\Windows\\Fonts\\STFANGSO.ttf", background_color="white", mask=bj_pic, max_words=100,
                width=1600, height=800)
wc.generate(text)
image_colors = ImageColorGenerator(bj_pic)
# 显示图片
plt.figure("lending comments")  # 指定所绘图名称  
plt.imshow(wc)  # 以图片的形式显示词云  
plt.axis("off")  # 关闭图像坐标系  
plt.show()