制作思路
- 导入微信库ichat，中文分词库jieba
- 跳出登陆二维码，扫码登陆
- 获取好友列表
- 构建所有好友个性签名组成的大列表tList
- 对个性签名进行中文分词
- 导入imageio库中的imread函数，并用这个函数读取本地图片，作为词云形状图片
- 导入词云制作库wordcloud
- 构建并配置词云对象w，注意要加scale参数，提高清晰度
- 显示词云图片，并保存到本地
# 导入微信库ichat，中文分词库jieba
import
itchat
import
jieba
# 先登录微信，跳出登陆二维码
itchat
.
login
(
)
tList
=
[
]
# 获取好友列表
friends
=
itchat
.
get_friends
(
update
=
True
)
# 构建所有好友个性签名组成的大列表tList
for
i
in
friends
:
# 获取个性签名
signature
=
i
[
"Signature"
]
if
'emoji'
in
signature
:
pass
else
:
tList
.
append
(
signature
)
text
=
" "
.
join
(
tList
)
# 对个性签名进行中文分词
wordlist_jieba
=
jieba
.
lcut
(
text
,
cut_all
=
True
)
wl_space_split
=
" "
.
join
(
wordlist_jieba
)
# 导入imageio库中的imread函数，并用这个函数读取本地图片，作为词云形状图片
import
imageio
mk
=
imageio
.
imread
(
"chinamap.png"
)
# 导入词云制作库wordcloud
import
wordcloud
# 构建并配置词云对象w，注意要加scale参数，提高清晰度
my_wordcloud
=
wordcloud
.
WordCloud
(
background_color
=
'white'
,
width
=
1000
,
height
=
700
,
font_path
=
'msyh.ttc'
,
max_words
=
2000
,
mask
=
mk
,
scale
=
20
)
my_wordcloud
.
generate
(
wl_space_split
)
nickname
=
friends
[
0
]
[
'NickName'
]
filename
=
"output11-{}的微信好友个性签名词云图.png"
.
format
(
nickname
)
my_wordcloud
.
to_file
(
filename
)
# 显示词云图片
import
matplotlib
.
pyplot
as
plt
%
matplotlib inline
plt
.
imshow
(
my_wordcloud
)
plt
.
axis
(
"off"
)
plt
.
show
(
)
print
(
'程序结束'
)
示例结果
Getting uuid of QR code.
Downloading QR code.
Please scan the QR code to log in.
Please press confirm on your phone.
Loading the contact, this may take a little while.
Login successfully as 倔强 Jarrod
程序结束
也可以制作城市词云图
同理只要将上面代码中的signature改成city就可以了
for
i
in
friends
:
# 获取个性签名
city
=
i
[
"City"
]
if
'emoji'
in
city
:
pass
else
:
tList
.
append
(
city
)
text
=
" "
.
join
(
tList
)
