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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
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# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# install all needed dependencies.
#Pipfile.lock
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__pypackages__/
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celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
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.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
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# Cython debug symbols
cython_debug/
# JetBrains IDEs
.idea/

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# FastAPI + Dash Sample App
Sample application that runs a Dash app mounted inside a FastAPI webserver.
## Quickstart
1. Install dependencies
```bash
poetry install
```
2. Run webserver
```bash
poetry run python -m app
```
3. Load up in browser: http://localhost:8000
## Routes
| Route | Description | Link |
|-------------|----------------------------------|------------------------------|
| GET / | Base route (tests shared prefix) | http://localhost:8000/ |
| GET /status | Non-Dash route | http://localhost:8000/status |
| GET /dash | Dash app | http://localhost:8000/dash |

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import uvicorn
from fastapi import FastAPI
from fastapi.middleware.wsgi import WSGIMiddleware
from dashapp import create_dash_app
app = FastAPI()
@app.get("/")
def read_main():
return {
"routes": [
{"method": "GET", "path": "/", "summary": "Landing"},
{"method": "GET", "path": "/status", "summary": "App status"},
{"method": "GET", "path": "/dash", "summary": "Sub-mounted Dash application"},
]
}
@app.get("/status")
def get_status():
return {"status": "ok"}
# A bit odd, but the only way I've been able to get prefixing of the Dash app
# to work is by allowing the Dash/Flask app to prefix itself, then mounting
# it to root
dash_app = create_dash_app(requests_pathname_prefix="/dash/")
app.mount("/dash", WSGIMiddleware(dash_app.server))
if __name__ == "__main__":
uvicorn.run(app, port=8000)

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import dash
from dash.dependencies import Input, Output
from dash import dcc, html
import flask
import pandas as pd
import os
def create_dash_app(requests_pathname_prefix: str = None) -> dash.Dash:
"""
Sample Dash application from Plotly: https://github.com/plotly/dash-hello-world/blob/master/app.py
"""
server = flask.Flask(__name__)
server.secret_key = os.environ.get('secret_key', 'secret')
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/hello-world-stock.csv')
app = dash.Dash(__name__, server=server, requests_pathname_prefix=requests_pathname_prefix)
app.scripts.config.serve_locally = False
dcc._js_dist[0]['external_url'] = 'https://cdn.plot.ly/plotly-basic-latest.min.js'
app.layout = html.Div([
html.H1('Stock Tickers'),
dcc.Dropdown(
id='my-dropdown',
options=[
{'label': 'Tesla', 'value': 'TSLA'},
{'label': 'Apple', 'value': 'AAPL'},
{'label': 'Coke', 'value': 'COKE'}
],
value='TSLA'
),
dcc.Graph(id='my-graph')
], className="container")
@app.callback(Output('my-graph', 'figure'),
[Input('my-dropdown', 'value')])
def update_graph(selected_dropdown_value):
dff = df[df['Stock'] == selected_dropdown_value]
return {
'data': [{
'x': dff.Date,
'y': dff.Close,
'line': {
'width': 3,
'shape': 'spline'
}
}],
'layout': {
'margin': {
'l': 30,
'r': 20,
'b': 30,
't': 20
}
}
}
return app

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werkzeug = [
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@ -0,0 +1,21 @@
[tool.poetry]
name = "fastapi-plotly-dash"
version = "0.1.0"
description = "Sample integration of FastAPI and Dash"
authors = ["Russ Snyder <ru.snyder@gmail.com>"]
[tool.poetry.dependencies]
python = "^3.8"
dash = "^2.0.0"
fastapi = "*"
pandas = "*"
uvicorn = "*"
[tool.poetry.dev-dependencies]
black = "*"
[build-system]
requires = ["poetry>=0.12"]
build-backend = "poetry.masonry.api"

6
peotry.txt Normal file
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@ -0,0 +1,6 @@
https://blog.csdn.net/not_so_bad/article/details/127705403
安装
pip install pipx
pipx install poetry
pipx ensurepath

14
pyproject.toml Normal file
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@ -0,0 +1,14 @@
[tool.poetry]
name = "pythonbook"
version = "0.1.0"
description = ""
authors = ["13002457275 <4448445@qq.com>"]
readme = "README.md"
[tool.poetry.dependencies]
python = "^3.11"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

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@ -0,0 +1 @@
# python_advance

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@ -0,0 +1,69 @@
import time
from threading import Thread
from queue import Queue
class MyThread(Thread):
def __init__(self, name: str, count: int):
super().__init__()
self.setName(name)
self.setDaemon(True)
self.count = count
def run(self) -> None:
for n in range(self.count):
print(f"{self.getName()} - {n}\n", end='')
time.sleep(0.01)
t_1 = MyThread("A", 10)
t_2 = MyThread("B", 10)
t_1.start()
t_2.start()
t_1.join()
class MsgProducer(Thread):
def __init__(self, name: str, count: int, queue: Queue):
super().__init__()
self.setName(name)
self.count = count
self.queue = queue
def run(self) -> None:
for n in range(self.count):
msg = f"{self.getName()} - {n}"
self.queue.put(msg, block=True)
class MsgConsumer(Thread):
def __init__(self, name: str, queue: Queue):
super().__init__()
self.setName(name)
self.queue = queue
self.setDaemon(True)
def run(self) -> None:
while True:
msg = self.queue.get(block=True)
print(f"{self.getName()} - {msg}\n", end='')
queue = Queue(3)
threads = list()
threads.append(MsgProducer("PA", 10, queue))
threads.append(MsgProducer("PB", 10, queue))
threads.append(MsgProducer("PC", 10, queue))
threads.append(MsgConsumer("CA", queue))
threads.append(MsgConsumer("CB", queue))
for t in threads:
t.start()

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@ -0,0 +1,57 @@
import asyncio
from asyncio.exceptions import TimeoutError
async def play_music(music: str):
print(f"Start playing {music}")
await asyncio.sleep(3)
print(f"Finished playing {music}")
return music
async def call_api():
print("calling api.....")
raise Exception("Error calling")
async def my_cancel():
task = asyncio.create_task(play_music("A"))
await asyncio.sleep(3)
if not task.done():
task.cancel()
async def my_cancel_with_timeout():
task = asyncio.create_task(play_music("B"))
try:
await asyncio.wait_for(task, timeout=2)
except TimeoutError:
print("timeout")
async def my_timeout():
task = asyncio.create_task(play_music("B"))
try:
await asyncio.wait_for(asyncio.shield(task), timeout=2)
except TimeoutError:
print("timeout")
await task
async def my_gather():
results = await asyncio.gather(play_music("A"), play_music("B"))
print(results)
async def my_gather_with_exception():
results = await asyncio.gather(play_music("A"), play_music("B"), call_api(),
return_exceptions=True)
print(results)
if __name__ == "__main__":
asyncio.run(my_gather_with_exception())

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@ -0,0 +1,15 @@
import asyncio
async def calculate(n_1: int, n_2: int):
res = n_1 + n_2
print(res)
async def main():
print("main -step 1")
await calculate(1, 2)
print("main -step 2")
asyncio.run(main())

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@ -0,0 +1,28 @@
import asyncio
import time
async def call_api(name: str, delay: float):
print(f"{name} - step 1")
await asyncio.sleep(delay)
print(f"{name} - step 2")
async def main():
time_1 = time.perf_counter()
print("start A coroutine")
task_1 = asyncio.create_task(call_api("A", 2))
print("start B coroutine")
task_2 = asyncio.create_task(call_api("B", 5))
await task_1
print("task 1 completed")
await task_2
print("task 2 completed")
time_2 = time.perf_counter()
print(f"Spent {time_2 - time_1}")
asyncio.run(main())

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@ -0,0 +1,52 @@
class MyDecorator:
def __init__(self, f):
self.f = f
def __call__(self, *args, **kwargs):
print("start")
result = self.f(*args, **kwargs)
print("end")
return result
class ParamDecorator:
def __init__(self, name):
self.name = name
def __call__(self, f):
def wrap(*args):
print(f"start {self.name}")
result = f(*args)
print("end")
return result
return wrap
@ParamDecorator("Jack")
def test():
print("test")
return 200
print(test())
def cls_decorator(cls):
print("start class decorator")
def inner():
print("start")
obj = cls()
print("end")
return obj
return inner
@cls_decorator
class Person:
pass
p1 = Person()
p2 = Person()

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@ -0,0 +1,15 @@
def greeting():
message = "hello"
value = 20
def inner():
print(f'{value} - {message}')
message = "second"
return inner
f = greeting()
print(f.__closure__)
f()

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@ -0,0 +1,34 @@
# instance = open("mydata.txt", "w")
# instance.write("Hello this is a test file")
# instance.close()
# with open("mydata.txt", "w") as instance:
# instance.write("Hello this is a test file")
#
#
# print("The end")
import time
class Timer:
def __init__(self):
self.elapsed = 0
def __enter__(self):
self.start = time.perf_counter()
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.stop = time.perf_counter()
self.elapsed = self.stop - self.start
return False
with Timer() as timer:
nums = []
for n in range(10000):
nums.append(n ** 2)
print(timer.elapsed)

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@ -0,0 +1,31 @@
import operator
from dataclasses import dataclass, field
@dataclass(order=True)
class Student:
sort_index: int = field(init=False, repr=False)
name: str
age: int = 19
independent: bool = field(default=False, init=False, repr=True)
def __post_init__(self):
self.independent = self.age > 19
self.sort_index = self.age
s_1 = Student("Jack", 20)
print(s_1)
s_2 = Student("Tom")
print(s_2)
print(s_1 == s_2)
students = [s_2, s_1]
sorted_students = sorted(students)
print(sorted_students)
students.sort(key=operator.attrgetter('name'))
print(students)

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from functools import wraps
# def welcome(fn):
# @wraps(fn)
# def wrapper(*args, **kwargs):
# print("Welcome")
# result = fn(*args, **kwargs)
# return result
#
# return wrapper
def welcome(name):
def decorator(fn):
@wraps(fn)
def wrapper(*args, **kwargs):
print(f"Welcome {name}")
result = fn(*args, **kwargs)
return result
return wrapper
return decorator
@welcome("Tom")
def my_fun(message: str):
print(f"Hello {message}")
@welcome("Mary")
def my_fun_2():
print("my fun 2")
# f1 = welcome(my_fun)
# f1("Jack")
my_fun("Jack")
print(my_fun.__name__)

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def hello(): # an iteratable object
print("step 1")
yield 1
print("step 2")
yield 2
print("step 3")
yield 3
def my_fun():
result = []
for n in range(3):
result.append(n ** 2)
return result
g = hello()
for res in g:
print(res)
def squares(count: int):
for n in range(count):
yield n ** 2
for num in squares(3):
print(num)

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class Human(type):
@staticmethod
def __new__(mcs, *args, **kwargs):
class_ = super().__new__(mcs, *args)
# class_.freedom = True
if kwargs:
for name, value in kwargs.items():
setattr(class_, name, value)
return class_
class Student(object, metaclass=Human, country="China", freedom=True):
pass
print(Student.country)
print(Student.freedom)

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class Prop:
def __init__(self, attr):
self._attr = f'_{attr}'
def get(self, obj):
if not hasattr(obj, self._attr):
return None
return getattr(obj, self._attr)
def set(self, obj, value):
setattr(obj, self._attr, value)
class Human(type):
@staticmethod
def __new__(mcs, *args, **kwargs):
class_ = super().__new__(mcs, *args)
for property_name in class_.props:
prop = Prop(property_name)
p_obj = property(fget=prop.get, fset=prop.set)
setattr(class_, property_name, p_obj)
return class_
class Student(object, metaclass=Human):
props = ["name", "age"]
def human(cls):
return Human(cls.__name__, cls.__bases__, dict(cls.__dict__))
@human
class Man:
props = ["name", "age"]
man = Man()
print(man.name)
man.name = "Tom"
print(man.name)
student = Student()
print(student.name)
student.name = "Jack"
print(student.name)

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import json
class MapMixin:
def __getitem__(self, key):
return self.__dict__[key]
def __setitem__(self, key, value):
self.__dict__[key] = value
class DictMixin:
def to_dict(self):
return self.__convert_dict(self.__dict__)
def __convert_dict(self, attrs: dict):
result = {}
for key, value in attrs.items():
result[key] = self.__convert_value(value)
return result
def __convert_value(self, value):
if isinstance(value, DictMixin):
return value.to_dict()
elif isinstance(value, dict):
return self.__convert_dict(value)
elif isinstance(value, list):
return [self.__convert_value(v) for v in value]
elif hasattr(value, '__dict__'):
return self.__convert_dict(value.__dict__)
else:
return value
class JSONMixin:
def to_json(self):
return json.dumps(self.to_dict())
class Student(MapMixin, DictMixin, JSONMixin):
def __init__(self, name, age):
self.name = name
self.age = age
# {"name": "Jack", "age": 20, "clasx": {"name": "class 9-1", "building": "A"}}
s = Student("Jack", 20)
print(s["name"])
print(s.to_dict())
print(s.to_json())

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import multiprocessing
import time
def task(name: str, count: int):
print(f"{name} - start\n", end='')
result = 0
for n in range(count):
result += n + 1
# time.sleep(1)
print(f"{name} - end with {result}")
def start_process_1():
process = multiprocessing.Process(target=task, args=["A", 100])
process.start()
process.join()
print("Main process over")
def start_process_2():
args_list = [("A", 1000000), ("B", 9900000), ("C", 98000)]
processes = [multiprocessing.Process(target=task, args=[name, count]) for name, count in args_list]
processes[0].start()
processes[1].start()
processes[1].join()
# for p in processes:
# p.start()
#
# for p in processes:
# p.join()
print("Main process over")
if __name__ == "__main__":
start_process_2()

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@ -0,0 +1,19 @@
message = "module"
def outer():
message = "outer"
def inner():
nonlocal message
message = "inner"
print(message)
inner()
print(message)
outer()
print(message)

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import os.path
import time
from concurrent.futures import ProcessPoolExecutor
from urllib.request import urlopen, Request
def download_img(url: str):
site_url = Request(url, headers={"User-Agent": "Mozilla/5.0"})
with urlopen(site_url) as web_file:
img_data = web_file.read()
if not img_data:
raise Exception(f"Error: cannot load the image from {url}")
file_name = os.path.basename(url)
with open(file_name, 'wb') as file:
file.write(img_data)
return f"Download image successfully, {url}"
def main():
with ProcessPoolExecutor() as executor:
urls = [
"https://cdn.pixabay.com/photo/2021/09/28/13/14/cat-6664412_1280.jpg",
"https://cdn.pixabay.com/photo/2022/11/10/00/38/creative-7581718_640.jpg",
"https://cdn.pixabay.com/photo/2022/11/19/11/53/rose-7601873_640.jpg",
"https://cdn.pixabay.com/photo/2022/10/18/12/05/clouds-7530090_640.jpg"
]
results = executor.map(download_img, urls)
for res in results:
print(res)
if __name__ == "__main__":
main()

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import re
def test_search():
pattern = r"\d{2}"
source = "I'm 80 years old."
result = re.search(pattern, source)
print(result)
def test_match():
pattern = r"\d{2}"
source = "80 years old."
result = re.match(pattern, source)
print(result)
def test_fullmatch():
pattern = r"\d{2}"
source = "809"
result = re.fullmatch(pattern, source)
print(result)
def test_findall():
pattern = r"\d{2}"
source = "8 09 aaa 89 laskdjf"
result = re.findall(pattern, source)
print(result)
def test_finditer():
pattern = r"\d{2}"
source = "8 09 aaa 89 laskdjf"
it = re.finditer(pattern, source)
for rs in it:
print(rs)
def test_compile():
pattern_str = r"\d{2}"
pattern = re.compile(pattern_str)
print(pattern.fullmatch("99"))
test_compile()

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def singleton(cls):
_instance = {}
def inner(*args, **kwargs):
if cls in _instance:
return _instance[cls]
obj = cls(*args, **kwargs)
_instance[cls] = obj
return obj
return inner
class SingletonMeta(type):
def __call__(cls, *args, **kwargs):
if hasattr(cls, '_instance'):
return getattr(cls, '_instance')
obj = super().__call__(*args, **kwargs)
setattr(cls, '_instance', obj)
return obj
# @singleton
class Person(metaclass=SingletonMeta):
pass
p_1 = Person()
p_2 = Person()
print(p_1 is p_2)

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from threading import Thread, Lock, Condition
task_lock = Lock()
def task(name: str):
global task_lock
for n in range(2):
task_lock.acquire()
print(f"{name} - round {n} - step 1\n", end='')
print(f"{name} - round {n} - step 2\n", end='')
print(f"{name} - round {n} - step 3\n", end='')
task_lock.release()
t1 = Thread(target=task, args=("A",))
t2 = Thread(target=task, args=("B",))
t3 = Thread(target=task, args=("C",))
t1.start()
t2.start()
t3.start()
class SafeQueue:
def __init__(self, size: int):
self.__item_list = list()
self.size = size
self.__item_lock = Condition()
def put(self, item):
with self.__item_lock:
while len(self.__item_list) >= self.size:
self.__item_lock.wait()
self.__item_list.insert(0, item)
self.__item_lock.notify_all()
def get(self):
with self.__item_lock:
while len(self.__item_list) == 0:
self.__item_lock.wait()
result = self.__item_list.pop()
self.__item_lock.notify_all()
return result
class MsgProducer(Thread):
def __init__(self, name: str, count: int, queue: SafeQueue):
super().__init__()
self.setName(name)
self.count = count
self.queue = queue
def run(self) -> None:
for n in range(self.count):
msg = f"{self.getName()} - {n}"
self.queue.put(msg)
class MsgConsumer(Thread):
def __init__(self, name: str, queue: SafeQueue):
super().__init__()
self.setName(name)
self.queue = queue
self.setDaemon(True)
def run(self) -> None:
while True:
msg = self.queue.get()
print(f"{self.getName()} - {msg}\n", end='')
queue = SafeQueue(3)
threads = list()
threads.append(MsgProducer("PA", 10, queue))
threads.append(MsgProducer("PB", 10, queue))
threads.append(MsgProducer("PC", 10, queue))
threads.append(MsgConsumer("CA", queue))
threads.append(MsgConsumer("CB", queue))
for t in threads:
t.start()

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import os.path
import time
from concurrent.futures import ThreadPoolExecutor
from urllib.request import urlopen, Request
def task(name: str):
print(f"{name} - step 1\n", end='')
time.sleep(1)
print(f"{name} - step 2\n", end='')
return f"{name} complete"
#
# with ThreadPoolExecutor() as executor:
# result_1 = executor.submit(task, 'A')
# result_2 = executor.submit(task, 'B')
#
# print(result_1.result())
# print(result_2.result())
#
# with ThreadPoolExecutor() as executor:
# results = executor.map(task, ['C', 'D'])
#
# for r in results:
# print(r)
def download_img(url: str):
site_url = Request(url, headers={"User-Agent": "Mozilla/5.0"})
with urlopen(site_url) as web_file:
img_data = web_file.read()
if not img_data:
raise Exception(f"Error: cannot load the image from {url}")
file_name = os.path.basename(url)
with open(file_name, 'wb') as file:
file.write(img_data)
return f"Download image successfully, {url}"
with ThreadPoolExecutor() as executor:
urls = [
"https://cdn.pixabay.com/photo/2021/09/28/13/14/cat-6664412_1280.jpg",
"https://cdn.pixabay.com/photo/2022/11/10/00/38/creative-7581718_640.jpg",
"https://cdn.pixabay.com/photo/2022/11/19/11/53/rose-7601873_640.jpg",
"https://cdn.pixabay.com/photo/2022/10/18/12/05/clouds-7530090_640.jpg"
]
results = executor.map(download_img, urls)
for res in results:
print(res)

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@ -0,0 +1,18 @@
from threading import Thread
def task(count: int):
for n in range(count):
print(n)
thread1 = Thread(target=task, args=(10,))
thread2 = Thread(target=task, args=(20,))
thread1.start()
thread2.start()
thread1.join()
thread2.join()
print("Main threads is end")

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@ -0,0 +1,24 @@
class Student:
def greeting(self):
print("Hello student")
print(type(Student))
print(isinstance(Student, type))
class_body = """
def greeting(self):
print('Hello customer')
def jump(self):
print('jump')
"""
class_dict = {}
exec(class_body, globals(), class_dict)
Customer = type("Customer", (object,), class_dict)
c = Customer()
c.greeting()
c.jump()

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@ -0,0 +1,17 @@
count = 10
print(count)
def greeting(flag: bool):
global count
if flag:
count = 20
print(count)
greeting(True)
print(count)

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def magic_number(exponent: int):
for n in range(3):
yield (n + 1) ** exponent
def magic_data():
yield from magic_number(2)
yield from magic_number(3)
# for n in magic_data():
# print(n)
def magic_two():
exponent = yield 'Please give an exponent based on two'
while True:
exponent = yield 2 ** exponent
if exponent is None:
break
# m = magic_two()
# print(next(m))
#
# print(m.send(2))
#
# print(m.send(3))
#
# try:
# m.send(None)
# except StopIteration:
# pass
def magic_three():
exponent = yield 'Please give an exponent based on three'
while True:
exponent = yield 3 ** exponent
if exponent is None:
break
def magic_switch():
option = yield 'Please choose, 1 - two, 2 - three'
while True:
if option == 1:
yield from magic_two()
elif option == 2:
yield from magic_three()
else:
break
mm = magic_switch()
print(next(mm))
print(mm.send(2))
print(mm.send(2))
print(mm.send(3))
try:
mm.send(None)
except StopIteration:
pass

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# To get started with Dependabot version updates, you'll need to specify which
# package ecosystems to update and where the package manifests are located.
# Please see the documentation for all configuration options:
# https://help.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
version: 2
updates:
# Enable version updates for Python
- package-ecosystem: "pip"
directory: "/" # Location of package manifests
schedule:
interval: "daily"
# Enable version updates for Docker
- package-ecosystem: "docker"
directory: "/" # Location of package manifests
schedule:
interval: "daily"

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### Python template
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/

View File

@ -0,0 +1,24 @@
# Creating Real-Time Charts with FastAPI
Sample application for the blog [Creating Real-Time Charts with FastAPI](https://ron.sh/creating-real-time-charts-with-fastapi/)
## Demo
Go to https://fastapi.ron.sh/ to see this in action.
## Build and run
```bash
docker-compose build
docker-compose up # or "docker-compose up -d" to run in detached mode
```
Open http://127.0.0.1:5000/ in browser
## Author
[Ronie Martinez](mailto:ronmarti18@gmail.com)
## References
- [Creating Real-Time Charts with Flask](https://github.com/roniemartinez/real-time-charts-with-flask)

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import asyncio
import json
import logging
import random
import sys
from datetime import datetime
from typing import Iterator
from fastapi import FastAPI
from fastapi.requests import Request
from fastapi.responses import HTMLResponse, StreamingResponse
from fastapi.templating import Jinja2Templates
from starlette.responses import Response
logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s")
logger = logging.getLogger(__name__)
application = FastAPI()
templates = Jinja2Templates(directory="templates")
random.seed() # Initialize the random number generator
@application.get("/", response_class=HTMLResponse)
async def index(request: Request) -> Response:
return templates.TemplateResponse("index.html", {"request": request})
async def generate_random_data(request: Request) -> Iterator[str]:
"""
Generates random value between 0 and 100
:return: String containing current timestamp (YYYY-mm-dd HH:MM:SS) and randomly generated data.
"""
client_ip = request.client.host
logger.info("Client %s connected", client_ip)
while True:
json_data = json.dumps(
{
"time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"value": random.random() * 100,
}
)
yield f"data:{json_data}\n\n"
await asyncio.sleep(1)
@application.get("/chart-data")
async def chart_data(request: Request) -> StreamingResponse:
response = StreamingResponse(generate_random_data(request), media_type="text/event-stream")
response.headers["Cache-Control"] = "no-cache"
response.headers["X-Accel-Buffering"] = "no"
return response

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@ -0,0 +1,11 @@
version: "3.8"
services:
web:
build: .
image: real-time-charts-with-fastapi
command: uvicorn application:application --reload --host 0.0.0.0 --port 5000
volumes:
- .:/code
ports:
- "127.0.0.1:5000:5000"

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@ -0,0 +1,910 @@
# This file is automatically @generated by Poetry and should not be changed by hand.
[[package]]
name = "anyio"
version = "3.6.2"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
category = "main"
optional = false
python-versions = ">=3.6.2"
files = [
{file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"},
{file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"},
]
[package.dependencies]
idna = ">=2.8"
sniffio = ">=1.1"
typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
[package.extras]
doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
trio = ["trio (>=0.16,<0.22)"]
[[package]]
name = "autoflake"
version = "1.7.8"
description = "Removes unused imports and unused variables"
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
{file = "autoflake-1.7.8-py3-none-any.whl", hash = "sha256:46373ef69b6714f5064c923bb28bd797c4f8a9497f557d87fc36665c6d956b39"},
{file = "autoflake-1.7.8.tar.gz", hash = "sha256:e7e46372dee46fa1c97acf310d99d922b63d369718a270809d7c278d34a194cf"},
]
[package.dependencies]
pyflakes = ">=1.1.0,<3"
tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
[[package]]
name = "black"
version = "23.1.0"
description = "The uncompromising code formatter."
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
{file = "black-23.1.0-cp310-cp310-macosx_10_16_arm64.whl", hash = "sha256:b6a92a41ee34b883b359998f0c8e6eb8e99803aa8bf3123bf2b2e6fec505a221"},
{file = "black-23.1.0-cp310-cp310-macosx_10_16_universal2.whl", hash = "sha256:57c18c5165c1dbe291d5306e53fb3988122890e57bd9b3dcb75f967f13411a26"},
{file = "black-23.1.0-cp310-cp310-macosx_10_16_x86_64.whl", hash = "sha256:9880d7d419bb7e709b37e28deb5e68a49227713b623c72b2b931028ea65f619b"},
{file = "black-23.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e6663f91b6feca5d06f2ccd49a10f254f9298cc1f7f49c46e498a0771b507104"},
{file = "black-23.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:9afd3f493666a0cd8f8df9a0200c6359ac53940cbde049dcb1a7eb6ee2dd7074"},
{file = "black-23.1.0-cp311-cp311-macosx_10_16_arm64.whl", hash = "sha256:bfffba28dc52a58f04492181392ee380e95262af14ee01d4bc7bb1b1c6ca8d27"},
{file = "black-23.1.0-cp311-cp311-macosx_10_16_universal2.whl", hash = "sha256:c1c476bc7b7d021321e7d93dc2cbd78ce103b84d5a4cf97ed535fbc0d6660648"},
{file = "black-23.1.0-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:382998821f58e5c8238d3166c492139573325287820963d2f7de4d518bd76958"},
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]
[[package]]
name = "zipp"
version = "3.11.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "zipp-3.11.0-py3-none-any.whl", hash = "sha256:83a28fcb75844b5c0cdaf5aa4003c2d728c77e05f5aeabe8e95e56727005fbaa"},
{file = "zipp-3.11.0.tar.gz", hash = "sha256:a7a22e05929290a67401440b39690ae6563279bced5f314609d9d03798f56766"},
]
[package.extras]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
[metadata]
lock-version = "2.0"
python-versions = "^3.7"
content-hash = "27c095296acff94df7265a00ecff7b5a29a8fa6512e0f46678c4bea6c320f67e"

View File

@ -0,0 +1,50 @@
[tool.poetry]
name = "real-time-charts-with-fastapi"
version = "0.2.1"
description = "Sample application for the blog Creating Real-Time Charts with FastAPI"
authors = ["Ronie Martinez <ronmarti18@gmail.com>"]
license = "MIT"
[tool.poetry.dependencies]
python = "^3.7"
fastapi = "^0.92.0"
Jinja2 = "^3.1.2"
uvicorn = { extras = ["standard"], version = "^0.20.0" }
[tool.poetry.dev-dependencies]
autoflake = "^1.7"
black = "^23.1.0"
isort = "^5.11.5"
mypy = "^1.0"
pyproject-flake8 = "^5.0.4"
[tool.isort]
line_length = 120
multi_line_output = 3
force_grid_wrap = 0
use_parentheses = true
include_trailing_comma = true
ensure_newline_before_comments = true
atomic = true
[tool.black]
line-length = 120
target-version = ['py39']
include = '\.pyi?$'
extend-exclude = """
# A regex preceded with ^/ will apply only to files and directories
# in the root of the project.
^/setup.py
"""
[tool.mypy]
disallow_untyped_defs = true
ignore_missing_imports = true
[tool.flake8]
max-line-length = 120
extend-ignore = ["E203"]
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"

View File

@ -0,0 +1,105 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Creating Real-Time Charts with FastAPI</title>
<!--suppress JSUnresolvedLibraryURL -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/4.6.1/css/bootstrap.min.css"
integrity="sha512-T584yQ/tdRR5QwOpfvDfVQUidzfgc2339Lc8uBDtcp/wYu80d7jwBgAxbyMh0a9YM9F8N3tdErpFI8iaGx6x5g=="
crossorigin="anonymous" referrerpolicy="no-referrer"/>
<!--suppress JSUnresolvedLibraryURL -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.4/Chart.min.css"
integrity="sha512-/zs32ZEJh+/EO2N1b0PEdoA10JkdC3zJ8L5FTiQu82LR9S/rOQNfQN7U59U9BC12swNeRAz3HSzIL2vpp4fv3w=="
crossorigin="anonymous" referrerpolicy="no-referrer"/>
</head>
<body>
<div class="container">
<div class="row">
<div class="col-12">
<div class="card">
<div class="card-body">
<canvas id="canvas"></canvas>
</div>
</div>
</div>
</div>
</div>
<!--suppress JSUnresolvedLibraryURL -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js"
integrity="sha512-894YE6QWD5I59HgZOGReFYm4dnWc1Qt5NtvYSaNcOP+u1T9qYdvdihz0PPSiiqn/+/3e7Jo4EaG7TubfWGUrMQ=="
crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<!--suppress JSUnresolvedLibraryURL -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/4.6.1/js/bootstrap.bundle.min.js"
integrity="sha512-mULnawDVcCnsk9a4aG1QLZZ6rcce/jSzEGqUkeOLy0b6q0+T6syHrxlsAGH7ZVoqC93Pd0lBqd6WguPWih7VHA=="
crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<!--suppress JSUnresolvedLibraryURL -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.4/Chart.min.js"
integrity="sha512-d9xgZrVZpmmQlfonhQUvTR7lMPtO7NkZMkA0ABN3PHCbKA5nqylQ/yWlFAyY6hYgdF1Qh6nYiuADWwKB4C2WSw=="
crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<script>
$(document).ready(function () {
const config = {
type: 'line',
data: {
labels: Array(30).fill("0000-00-00 00:00:00"),
datasets: [{
label: "Random Dataset",
backgroundColor: 'rgb(255, 99, 132)',
borderColor: 'rgb(255, 99, 132)',
data: Array(30).fill(null),
fill: false,
}],
},
options: {
responsive: true,
title: {
display: true,
text: 'Creating Real-Time Charts with FastAPI'
},
tooltips: {
mode: 'index',
intersect: false,
},
hover: {
mode: 'nearest',
intersect: true
},
scales: {
xAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'Time'
}
}],
yAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'Value'
}
}]
}
}
};
const context = document.getElementById('canvas').getContext('2d');
const lineChart = new Chart(context, config);
const source = new EventSource("/chart-data");
source.onmessage = function (event) {
const data = JSON.parse(event.data);
if (config.data.labels.length === 30) {
config.data.labels.shift();
config.data.datasets[0].data.shift();
}
config.data.labels.push(data.time);
config.data.datasets[0].data.push(data.value);
lineChart.update();
}
});
</script>
</body>
</html>

11
test.py
View File

@ -1,11 +0,0 @@
import pandas as pd
data = {
"name": ["a1", "a2", "a3"],
"age": [50, 60, 70]
}
df = pd.DataFrame(data, index = ["c1", "c2", "c3"])
print(df)

View File

@ -0,0 +1,39 @@
# Run this app with `python app.py` and
# visit http://127.0.0.1:8050/ in your web browser.
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
import pandas as pd
#external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
#app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app = dash.Dash(__name__)
# assume you have a "long-form" data frame
# see https://plotly.com/python/px-arguments/ for more options
df = pd.DataFrame({
"Fruit": ["Apples", "Oranges", "Bananas", "Apples", "Oranges", "Bananas"],
"Amount": [4, 1, 2, 2, 4, 5],
"City": ["SF", "SF", "SF", "Montreal", "Montreal", "Montreal"]
})
fig = px.bar(df, x="Fruit", y="Amount", color="City", barmode="group")
app.layout = html.Div(children=[
html.H1(children='Hello Dash'),
html.Div(children='''
Dash: A web application framework for Python.
'''),
dcc.Graph(
id='example-graph',
figure=fig
)
])
if __name__ == '__main__':
app.run_server(debug=True)

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实例学习pandas2/1.py Normal file
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import pandas as pd
chipo = pd.read_csv("chipotle.tsv", sep = '\t')
print(chipo.head(10),chipo.shape[1])
c = chipo[['item_name','quantity']].groupby(['item_name'],as_index=False).agg({'quantity':sum})
c.sort_values(['quantity'],ascending=False,inplace=True)
c.head()

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实验1/1.py Normal file
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import pandas as pd
pop = pd.read_csv('.\state-population.csv')
areas = pd.read_csv('.\state-areas.csv')
abbrevs = pd.read_csv('.\state-abbrevs.csv')
print(pop.head())
print(areas.head())
print(abbrevs.head())
merged = pd.merge(pop, abbrevs, how='outer', left_on='state/region', right_on='abbreviation')
print(merged.head(3))
merged = merged.drop('abbreviation', 1) # 丢弃重复信息
merged.head()
print("merged.isnull().any()",merged.isnull().any())
print(merged[merged['population'].isnull()].head())

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实验1/births.csv Normal file

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实验1/pands速查表.py Normal file
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import pandas as pd
pop = pd.read_csv('.\state-population.csv')
areas = pd.read_csv('.\state-areas.csv')
abbrevs = pd.read_csv('.\state-abbrevs.csv')
# print(pop.head())
# print(areas.head())
# print(abbrevs.head())
df = pd.DataFrame(pop)
a1 = df[df.population > 1125763]
a2 = df.drop_duplicates()
a3 = df.nsmallest(2, 'population')
a4 = df.drop(columns=['population'])
a5 = df.query('population == 1117489')
a6 = df.iloc[10:20]
a7 = df.loc[df['population'] > 10,['population', 'ages']]
a8 = df.iat[1, 2]
a9 = df.at[4, 'population']
a10 =df['ages'].value_counts()
a11 = df.assign(Area=lambda df: df.population*2)
a12 = df.groupby(by="state/region")
print(a12.agg(min))

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实验1/state-abbrevs.csv Normal file
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"state","abbreviation"
"Alabama","AL"
"Alaska","AK"
"Arizona","AZ"
"Arkansas","AR"
"California","CA"
"Colorado","CO"
"Connecticut","CT"
"Delaware","DE"
"District of Columbia","DC"
"Florida","FL"
"Georgia","GA"
"Hawaii","HI"
"Idaho","ID"
"Illinois","IL"
"Indiana","IN"
"Iowa","IA"
"Kansas","KS"
"Kentucky","KY"
"Louisiana","LA"
"Maine","ME"
"Montana","MT"
"Nebraska","NE"
"Nevada","NV"
"New Hampshire","NH"
"New Jersey","NJ"
"New Mexico","NM"
"New York","NY"
"North Carolina","NC"
"North Dakota","ND"
"Ohio","OH"
"Oklahoma","OK"
"Oregon","OR"
"Maryland","MD"
"Massachusetts","MA"
"Michigan","MI"
"Minnesota","MN"
"Mississippi","MS"
"Missouri","MO"
"Pennsylvania","PA"
"Rhode Island","RI"
"South Carolina","SC"
"South Dakota","SD"
"Tennessee","TN"
"Texas","TX"
"Utah","UT"
"Vermont","VT"
"Virginia","VA"
"Washington","WA"
"West Virginia","WV"
"Wisconsin","WI"
"Wyoming","WY"
1 state abbreviation
2 Alabama AL
3 Alaska AK
4 Arizona AZ
5 Arkansas AR
6 California CA
7 Colorado CO
8 Connecticut CT
9 Delaware DE
10 District of Columbia DC
11 Florida FL
12 Georgia GA
13 Hawaii HI
14 Idaho ID
15 Illinois IL
16 Indiana IN
17 Iowa IA
18 Kansas KS
19 Kentucky KY
20 Louisiana LA
21 Maine ME
22 Montana MT
23 Nebraska NE
24 Nevada NV
25 New Hampshire NH
26 New Jersey NJ
27 New Mexico NM
28 New York NY
29 North Carolina NC
30 North Dakota ND
31 Ohio OH
32 Oklahoma OK
33 Oregon OR
34 Maryland MD
35 Massachusetts MA
36 Michigan MI
37 Minnesota MN
38 Mississippi MS
39 Missouri MO
40 Pennsylvania PA
41 Rhode Island RI
42 South Carolina SC
43 South Dakota SD
44 Tennessee TN
45 Texas TX
46 Utah UT
47 Vermont VT
48 Virginia VA
49 Washington WA
50 West Virginia WV
51 Wisconsin WI
52 Wyoming WY

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实验1/state-areas.csv Normal file
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state,area (sq. mi)
Alabama,52423
Alaska,656425
Arizona,114006
Arkansas,53182
California,163707
Colorado,104100
Connecticut,5544
Delaware,1954
Florida,65758
Georgia,59441
Hawaii,10932
Idaho,83574
Illinois,57918
Indiana,36420
Iowa,56276
Kansas,82282
Kentucky,40411
Louisiana,51843
Maine,35387
Maryland,12407
Massachusetts,10555
Michigan,96810
Minnesota,86943
Mississippi,48434
Missouri,69709
Montana,147046
Nebraska,77358
Nevada,110567
New Hampshire,9351
New Jersey,8722
New Mexico,121593
New York,54475
North Carolina,53821
North Dakota,70704
Ohio,44828
Oklahoma,69903
Oregon,98386
Pennsylvania,46058
Rhode Island,1545
South Carolina,32007
South Dakota,77121
Tennessee,42146
Texas,268601
Utah,84904
Vermont,9615
Virginia,42769
Washington,71303
West Virginia,24231
Wisconsin,65503
Wyoming,97818
District of Columbia,68
Puerto Rico,3515
1 state area (sq. mi)
2 Alabama 52423
3 Alaska 656425
4 Arizona 114006
5 Arkansas 53182
6 California 163707
7 Colorado 104100
8 Connecticut 5544
9 Delaware 1954
10 Florida 65758
11 Georgia 59441
12 Hawaii 10932
13 Idaho 83574
14 Illinois 57918
15 Indiana 36420
16 Iowa 56276
17 Kansas 82282
18 Kentucky 40411
19 Louisiana 51843
20 Maine 35387
21 Maryland 12407
22 Massachusetts 10555
23 Michigan 96810
24 Minnesota 86943
25 Mississippi 48434
26 Missouri 69709
27 Montana 147046
28 Nebraska 77358
29 Nevada 110567
30 New Hampshire 9351
31 New Jersey 8722
32 New Mexico 121593
33 New York 54475
34 North Carolina 53821
35 North Dakota 70704
36 Ohio 44828
37 Oklahoma 69903
38 Oregon 98386
39 Pennsylvania 46058
40 Rhode Island 1545
41 South Carolina 32007
42 South Dakota 77121
43 Tennessee 42146
44 Texas 268601
45 Utah 84904
46 Vermont 9615
47 Virginia 42769
48 Washington 71303
49 West Virginia 24231
50 Wisconsin 65503
51 Wyoming 97818
52 District of Columbia 68
53 Puerto Rico 3515

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实验1/state-population.csv Normal file

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