python可视化之绘图+词云

最新推荐文章于 2023-05-06 16:57:05 发布

静默安然

最新推荐文章于 2023-05-06 16:57:05 发布

阅读量374

点赞数

CC 4.0 BY-SA版权

分类专栏：数据挖掘

本文链接：https://blog.youkuaiyun.com/zhao2chen3/article/details/109122454

数据挖掘专栏收录该内容

21 篇文章

订阅专栏

本文通过实例演示了如何使用Matplotlib进行数据可视化，包括基本的正弦曲线绘制、饼图展示及词云图生成等。文章还介绍了如何利用Pandas处理CSV文件中的数据，并将这些数据用于图表中。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >


import matplotlib.pyplot as plt
import math
import numpy as np
x=np.arange(0,1,0.05)
print(x)
y=np.sin(2*math.pi*x)
print(y)
plt.plot(x,y,'b--*',label='sin')  #蓝色虚线*点 --o 图例项的名称 与legend相配套，一起出现
plt.title("hello")
plt.xlabel('x label')
plt.ylabel('y label')
plt.legend(loc='best')  #设置图例项的位置 upper center
plt.show();
fig,ax=plt.subplots(2,2)
ax[0,1].plot(x,y)
plt.show();
fig.savefig('myfig.png')

# 读取数据
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('data.csv')
df.head()

x = df.index.values
y = df['人均GDP'].values
print(x); #[0 1 2 3 4]
print(y);#[ 7857  8621  9398  1054 12335]

from pylab import mpl

mpl.rcParams['font.sans-serif'] = ['FangSong']  # 指定默认字体

fig, ax = plt.subplots()
ax.plot(x, y, 'r--*')
ax.set(title='人均GDP走势图', xlabel='年份',ylabel='人均GDP')
plt.show()

df = pd.read_csv('data.csv',index_col='年份')

# 读取数据
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('data.csv',index_col='年份')
print(df.head())

# 读取数据
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('data.csv',index_col='年份')
print(df[:3].head()) #显示前三行

# 读取数据
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('data.csv',index_col='年份')

x=df.index.values
y=df['人均GDP'].values

fig,ax=plt.subplots()
ax.pie(y[:5],labels=x[:5],explode=[0,0.05,0.1,0.15,0.2])
plt.show()

#绘制词云图
with open('cc.csv',encoding='utf-8') as file:
 words=file.read()

print(words)

#生成词云
with open('cc.csv',encoding='utf-8') as file:
 words=file.read()
from wordcloud import WordCloud

wordcloud=WordCloud(font_path='C:/Windows/Fonts/simfang.ttf').generate(words)
image=wordcloud.to_image()
image.show()


import numpy as np

with open('cc.csv',encoding='utf-8') as file:
 words=file.read()
#绘制指定形状的词云图
from PIL import Image

images=Image.open('heart.png')
maskImages=np.array(images) #把图片转化成数字的方式

from wordcloud import WordCloud

wordcloud=WordCloud(font_path='C:/Windows/Fonts/simfang.ttf',
background_color='black',width=600,height=300,max_words=10,
mask=maskImages).generate(words)  #把maskImages放在这里
image=wordcloud.to_image()
image.show()