How to obtain Wechat friend area, gender, signature information and visualize the results by Python

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The text obtains the friend information according to itchat library.

You can do this with the following two lines of code:

Itchat.auto_login (hotReload=True)

Friends = itchat.get_friends (update=True)

The first line of code is to log in to the Wechat web version using the itchat library, which will pop up the code scan login interface. The purpose of setting the parameter hotReload=True is to exit the program in a short time, so you don't have to scan the code to log in again.

Get_friends () returns a list with n dictionary entries, where n equals your Wechat friends. Since the list type is serializable, we can use the json library to save it to a file

# convert the json object to a string and save it locally in with open ("data.json", "w", encoding= "utf-8") as f: f.write (json.dumps (friends, indent=2, ensure_ascii=False))

The results are as follows:

Extract data and visualize gender information visualization

Use the following code to get the gender information of all your friends.

For friend in friends: if friend ["Sex"] = = 0: unknow + = 1 elif friend ["Sex"] = = 1: male + = 1 else: female + = 1

The result of visualization:

Most of the male students are male students, while the female students account for 1x4. Sure enough, I am a male student with no story.

Gender unknown is a friend who does not have a gender set.

Regional information visualization

Use the following code to get the regional information of all your friends.

Dic_province = dict () for friend in self.friends: key = friend ["Province"] if key not in dic_province.keys (): dic_ Province [key] = 1 else: dic_ Province [key] + = 1 key_list = [] value_list = [] for key Value in dic_province.items (): if key = "": key = "other regions" key_list.append (key) value_list.append (value)

The result of visualization is:

Well, it seems to have exposed my own area.

Visualization of signature information

Use the following code to get the personal signatures of all your friends

All_sign = "" for friend in self.friends: sign = friend ["Signature"] if len (sign) > 0: # filter facial expressions Otherwise it will affect the word cloud emoji = re.findall ("", sign,re.S) if len (emoji) > 0: sign = sign.replace (emoji [0]) "") all_sign = all_sign + sign + "\ n" if os.path.exists ("wc/sign.txt"): os.remove ("wc/sign.txt") with open ("wc/sign.txt", "a +", encoding= "utf-8") as f: f.write (all_sign)

The result of using word cloud visualization is

Haha, it is also a group of friends who are positive and actively explore life.

Other data visualization

The reason is similar, so I won't repeat it.

Operation schematic

Run the main.py file in the root directory of the project to get the gender and region visualization results, as shown below:

If you haven't logged in recently, the program will let you scan the code to log in.

If you need a visual friend signature, you also need to run the wc.py file under the wc folder in the root directory of the project, as shown below:

This word cloud can be customized, as long as you replace the image bc.png under the wc/image in the project root directory, you can modify the background of the word cloud, preferably with a solid color background.

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