怎么用Python画出好看的词云图？

# 导入相应的库
import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt

# 导入文本数据并进行简单的文本处理
# 去掉换行符和空格
text = open("./data/新年歌.txt",encoding='utf8').read()
text = text.replace('\n',"").replace("\u3000","")

# 分词，返回结果为词的列表
text_cut = jieba.lcut(text)
# 将分好的词用某个符号分割开连成字符串
text_cut = ' '.join(text_cut)

# 导入停词
# 用于去掉文本中类似于'啊'、'你'，'我'之类的词
stop_words = open("F:/NLP/chinese corpus/stopwords/stop_words_zh.txt",encoding="utf8").read().split("\n")

# 使用WordCloud生成词云
word_cloud = WordCloud(font_path="simsun.ttc",  # 设置词云字体
                       background_color="white", # 词云图的背景颜色
                       stopwords=stop_words) # 去掉的停词
word_cloud.generate(text_cut)

# 运用matplotlib展现结果
plt.subplots(figsize=(12,8))
plt.imshow(word_cloud)
plt.axis("off")

import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt
from PIL import Image

text = open("./data/新年歌.txt",encoding='utf8').read()
text = text.replace('\n',"").replace("\u3000","")
text_cut = jieba.lcut(text)
text_cut = ' '.join(text_cut)

stop_words = open("F:/NLP/chinese corpus/stopwords/stop_words_zh.txt",encoding="utf8").read().split("\n")

# 主要区别
background = Image.open("./data/background.png")
graph = np.array(background)

word_cloud = WordCloud(font_path="simsun.ttc", 
                       background_color="white", 
                       mask=graph, # 指定词云的形状
                       stopwords=stop_words)

word_cloud.generate(text_cut)
plt.subplots(figsize=(12,8))
plt.imshow(word_cloud)
plt.axis("off")