Python Programming

from wordcloud import WordCloud
 
string = 'Importance of relative word frequencies for font-size.\
With relative_scaling=0, only word-ranks are considered. With \
relative_scaling=1, a word that is twice as frequent will have \
twice the size. If you want to consider the word frequencies \
and not only their rank, relative_scaling around .5 often looks good.'

font = r'C:\Windows\Fonts\Arial.TTF'
wc = WordCloud(font_path=font, # Chinese
               background_color='white',
               width=1000,
               height=800,
               ).generate(string)
wc.to_file('s1.png') # save figure

from matplotlib import pyplot as plt
plt.imshow(wc)  # show figure by plt
plt.axis('off') 
plt.show() 

from wordcloud import WordCloud
 
filename = 'Harry Potter.txt'
with open(filename, encoding="utf-8") as f_obj:
    contents = f_obj.read()

font = r'C:\Windows\Fonts\Arial.TTF'
wc = WordCloud(font_path=font, 
               background_color='white',
               width=1000,
               height=800,
               ).generate(contents)
wc.to_file('s2.png') 

from wordcloud import WordCloud

filename = 'sanguo.txt'
with open(filename , encoding="utf-8") as f_obj:
    contents = f_obj.read()

font = r'C:\Windows\Fonts\simkai.ttf'
wc = WordCloud(font_path=font, 
               background_color='white',
               width=1000,
               height=800,
               ).generate(contents)
wc.to_file('s3.png') 

from wordcloud import WordCloud
import jieba

filename = 'sanguo.txt'
with open(filename , encoding="utf-8") as f_obj:
    contents = f_obj.read()

s = jieba.lcut(contents) 
txt = " ".join(s)

font = r'C:\Windows\Fonts\simkai.ttf'
wc = WordCloud(font_path=font, 
               background_color='white',
               width=1000,
               height=800,
               ).generate(txt)
wc.to_file('s4.png') 

from wordcloud import WordCloud
import jieba

filename = 'sanguo.txt'
with open(filename, encoding="utf-8") as f_obj:
    contents = f_obj.read()

def sw(filename):
    with open(filename, encoding="utf-8") as file:
        x = file.readlines()
    y = [word.strip() for word in x]
    return y

name_list = ['baidu_stopwords.txt', 'cn_stopwords.txt', 
             'hit_stopwords.txt','scu_stopwords.txt']

stop_word = []
for x in name_list:
    stop_word.extend(sw(x))
stop_word = list(set(stop_word))

s = jieba.lcut(contents) 
result = [word for word in s if word not in stop_word]
s = [word for word in result if len(word)>1]
txt = " ".join(s)

font = r'C:\Windows\Fonts\simkai.ttf'
wc = WordCloud(font_path=font, 
               background_color='white',
               width=1000,
               height=800,
               ).generate(txt)
wc.to_file('s5.png') 

import qrcode

img=qrcode.make("Hello!")
img.save("x.png")

import qrcode

img=qrcode.make("https://wangwanglulu.com/")
img.save("wl.png")

import requests

url = "http://t.weather.itboy.net/api/weather/city/101020100"
r = requests.get(url)
print(r.status_code)
response_dict = r.json()  

f = response_dict['data']
ff = f['forecast']
ff_today = ff[0]
ff_1 = ff[1]
ff_2 = ff[2]
 
def show(day):
    for x in day:
        print(x+': '+str(day[x]))
    print()
show(ff_today)
show(ff_1)
show(ff_2)

url = 'https://api.github.com/search/repositories?q=language:python&sort=stars'

import requests

# Make an API call and store the response.
r = requests.get(url)
print("Status code:", r.status_code)
# Store API response in a variable.
response_dict = r.json()

print(response_dict.keys())

Status code: 200
dict_keys(['total_count', 'incomplete_results', 'items'])

import requests

url = 'https://api.github.com/search/repositories?q=language:python&sort=stars'

r = requests.get(url)
print("Status code:", r.status_code)
response_dict = r.json()

print("Total repositories:", response_dict['total_count'])

# Explore information about the repositories.
repo_dicts = response_dict['items']
print("Repositories returned:", len(repo_dicts))

# Examine the first repository.
repo_dict = repo_dicts[0]
print("\nKeys:", len(repo_dict))

Status code: 200
Total repositories: 8716421
Repositories returned: 30
Keys: 78

print("\nSelected information about first repository:")
print('Name:', repo_dict['name'])
print('Owner:', repo_dict['owner']['login'])
print('Stars:', repo_dict['stargazers_count'])
print('Repository:', repo_dict['html_url'])
print('Created:', repo_dict['created_at'])
print('Updated:', repo_dict['updated_at'])
print('Description:', repo_dict['description'])

Selected information about first repository:
Name: public-apis
Owner: public-apis
Stars: 194129
Repository: https://github.com/public-apis/public-apis
Created: 2016-03-20T23:49:42Z
Updated: 2022-05-26T14:56:35Z
Description: A collective list of free APIs

import requests

from plotly.graph_objs import Bar
from plotly import offline

URL = 'https://api.github.com/search/repositories?q=language:python&sort=star'
r = requests.get(URL)
print("Status code:", r.status_code)
response_dict = r.json()
print("Total repositories:", response_dict['total_count'])

repo_dicts = response_dict['items']
names, stars = [], []
for repo_dict in repo_dicts:
    names.append(repo_dict['name'])
    stars.append(repo_dict['stargazers_count'])

data = [{
    'type': 'bar', 'x': names,'y': stars,
    'marker': {'color': 'rgb(60, 100, 150)',
               'line': {'width': 1.5, 'color': 'rgb(25, 25, 25)'}
    },
    'opacity': 0.6,
}]

my_layout = {
    'title': 'Most-Starred Python Projects on GitHub',
    'titlefont': {'size': 28},
    'xaxis': {'title': 'Repository',
              'titlefont': {'size': 24},
              'tickfont': {'size': 14},
    },
    'yaxis': {'title': 'Stars',
              'titlefont': {'size': 24},
              'tickfont': {'size': 14},
    },
}

fig = {'data': data, 'layout': my_layout}
offline.plot(fig, filename='python_repos.html')

url="http://img1.money.126.net/data/hs/kline/day/history/2020/1399001.json"

import requests
import matplotlib.pyplot as plt

url="http://img1.money.126.net/data/hs/kline/day/history/2020/0600519.json"
r = requests.get(url)
print(r.status_code)
response_dict = r.json() 
# print(response_dict)

data = response_dict['data']

for x in data[:5]:
    print("""日期: {}，开盘价：{}，收盘价：{}，最高价：{}
        最低价：{}，交易量：{}，涨幅跌幅：{}""".format(x[0],\
        x[1], x[2], x[3], x[4], x[5], x[6]))

200
日期: 20200102，开盘价：1128.0，收盘价：1130.0，最高价：1145.06
        最低价：1116.0，交易量：14809916，涨幅跌幅：-4.48
日期: 20200103，开盘价：1117.0，收盘价：1078.56，最高价：1117.0
        最低价：1076.9，交易量：13031878，涨幅跌幅：-4.55
日期: 20200106，开盘价：1070.86，收盘价：1077.99，最高价：1092.9
        最低价：1067.3，交易量：6341478，涨幅跌幅：-0.05
日期: 20200107，开盘价：1077.5，收盘价：1094.53，最高价：1099.0
        最低价：1076.4，交易量：4785359，涨幅跌幅：1.53
日期: 20200108，开盘价：1085.05，收盘价：1088.14，最高价：1095.5
        最低价：1082.58，交易量：2500825，涨幅跌幅：-0.58

date=[]; open_p=[]; close_p=[]; high=[]
low=[]; volume=[]; percent=[]
for y in data:
    date.append(y[0]); open_p.append(y[1])
    close_p.append(y[2]); high.append(y[3])
    low.append(y[4]); volume.append(y[5])
    percent.append(y[6])

plt.rcParams['font.sans-serif'] = ['SimHei'] 
plt.style.use('ggplot')
plt.plot(close_p, linewidth=0.5)
plt.scatter(date,close_p, s=5)
plt.xticks(date[::20],rotation=45,fontsize=6)
plt.title('贵州茅台收盘价（2020）',fontsize=10)
plt.tight_layout()
plt.savefig('maotai2020.jpg',dpi=300)

import os
import requests
import matplotlib.pyplot as plt

def stock_visual(url):

    r = requests.get(url)
    print(r.status_code)
    response_dict = r.json() 
    data = response_dict['data']

    date=[];close_p=[]
    for y in data:
        date.append(y[0])
        close_p.append(y[2])
    return date, close_p

exist=os.path.exists('figures')  
if not exist:
    os.mkdir('figures')
os.chdir('figures')

stock_list = ["0600519","0600520","0600521"]
for x in stock_list:
    url = "http://img1.money.126.net/data/hs/kline\
            /day/history/2020/{}.json".format(x)
    x_date, x_close = stock_visual(url)
    plt.style.use('ggplot')
    plt.plot(x_close, linewidth=0.5)
    plt.scatter(x_date,x_close, s=5)
    plt.xticks(x_date[::20],rotation=45,fontsize=6)
    plt.title(x+'(2020)',fontsize=10)
    plt.tight_layout()
    plt.savefig(x+'.jpg',dpi=300)
    plt.close()