python--从入门到实践--chapter 15 16 17 生成数据/下载数据/web API
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python--从入门到实践--chapter 15 16 17 生成数据/下载数据/web API
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1.隨機漫步
random_walk.py
from random import choice class RandomWalk():def __init__(self, num_points=5000):self.num_points = num_pointsself.x_value = [0]self.y_value = [0]def fill_walk(self):while len(self.x_value) < self.num_points:x_direction = choice([1, -1])x_distance = choice([0, 1, 2, 3, 4])x_step = x_direction * x_distancey_direction = choice([1, -1])y_distance = choice([0, 1, 2, 3, 4])y_step = y_direction * y_distanceif x_step == 0 and y_step == 0:continuenext_x = self.x_value[-1] + x_stepnext_y = self.y_value[-1] + y_stepself.x_value.append(next_x)self.y_value.append(next_y)randomWalk_visual.py
import matplotlib.pyplot as plt from random_walk import RandomWalk rw = RandomWalk(5000) rw.fill_walk() plt.figure(dpi=512, figsize=(10, 6)) point_number = list(range(rw.num_points)) plt.scatter(rw.x_value, rw.y_value, c=point_number, cmap=plt.cm.Blues, edgecolors='none', s=1) plt.scatter(0, 0, c="green", edgecolors='none', s=100) plt.scatter(rw.x_value[-1], rw.y_value[-1], c="red", edgecolors='none', s=100) # plt.axis('off') plt.show()2.投1個六面骰子
dice.py
from random import randint class Dice():def __init__(self, num_sides=6):self.num_sides = num_sidesdef roll(self):return randint(1, self.num_sides)dice_visual.py
from dice import Dice import pygal d6 = Dice() results = [] for roll_num in range(1000):result = d6.roll()results.append(result) frequencies = [] for value in range(1, d6.num_sides+1):frequency = results.count(value)frequencies.append(frequency) hist = pygal.Bar() hist.title = "Results of rolling one D6 1000 times." hist.x_labels = [x for x in range(1, 7)] hist.x_title = "Result" hist.y_title = "Frequency of Result" hist.add('D6', frequencies) hist.render_to_file("dice_visual.svg") print(frequencies)3.同時擲3個6面骰子
from dice import Dice import pygal d6_1 = Dice() d6_2 = Dice() d6_3 = Dice() results = [] for roll_num in range(100000):result = d6_1.roll() + d6_2.roll() + d6_3.roll()results.append(result) frequencies = [] for value in range(3, 19):frequency = results.count(value)frequencies.append(frequency) hist = pygal.Bar() hist.title = "Results of rolling three D6 100000 times." hist.x_labels = [x for x in range(3, 19)] hist.x_title = "Result" hist.y_title = "Frequency of Result" hist.add('3*D6', frequencies) hist.render_to_file("dice_visual.svg") print(frequencies)4.同時擲兩個骰子,將兩個骰子的點數相乘。
from dice import Dice import pygal d6_1 = Dice() d6_2 = Dice() results = [] for roll_num in range(100000):result = d6_1.roll() * d6_2.roll()results.append(result) frequencies = [] for value in range(1, 37):if results.count(value):frequency = results.count(value)frequencies.append(frequency) x_data = [] for value in range(1, 37):if value in results:x_data.append(value) hist = pygal.Bar() hist.title = "Results of rolling two D6 100000 times." hist.x_labels = x_data hist.x_title = "Result" hist.y_title = "Frequency of Result" hist.add('D6*D6', frequencies) hist.render_to_file("dice_visual.svg") print(frequencies)5.下載數據,可視化世界人口
免費數據下載地址 https://datahub.io
country_codes.py
world_population.py
import json from country_codes import get_country_code import pygal.maps.world from pygal.style import RotateStyle from pygal.style import LightColorizedStyle #淺色方便印刷 filename = "population_data.json" with open(filename) as f:pop_data = json.load(f) cc_populations = {} for pop_dict in pop_data:if(pop_dict["Year"] == 2010):country_name = pop_dict["Country Name"]population = pop_dict["Value"]code = get_country_code(country_name)if code:cc_populations[code] = population cc_pops_1, cc_pops_2, cc_pops_3 = {}, {}, {} for cc, pop in cc_populations.items():if pop < 10000000:cc_pops_1[cc] = popelif pop < 1000000000:cc_pops_2[cc] = popelse:cc_pops_3[cc] = pop print(len(cc_pops_1), len(cc_pops_2), len(cc_pops_3)) # wm_style = RotateStyle("#336699") # wm_style = LightColorizedStyle wm_style = RotateStyle("#336699", base_style=LightColorizedStyle) wm = pygal.maps.world.World(style=wm_style) wm.title = "World Population in 2010, by Country" wm.add("0-10 million", cc_pops_1) wm.add("10 million -1 billion", cc_pops_2) wm.add("> 1 billion", cc_pops_3) wm.render_to_file("world_population.svg")6.獲取Github最多星的python項目
import requests import pygal from pygal.style import LightColorizedStyle as LCS, LightenStyle as LS 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(response_dict.keys()) print("Total repositories: ", response_dict["total_count"]) repo_dicts = response_dict["items"] names, plot_dicts = [], [] print("Repositories returned:", len(repo_dicts)) repo_dict = repo_dicts[0] #第一個item print("\nKeys:", len(repo_dict)) for key in sorted(repo_dict.keys()):print(key) print("\nSelected information about first repository:") for repo_dict in repo_dicts:# print('Name:', repo_dict['name'])# print('Owner:', repo_dict['owner']['login'])# print('Stars:', repo_dict['stargazers_count'])# print('Repository:', repo_dict['html_url'])# print('Description:', repo_dict['description'])names.append(repo_dict["name"])plot_dict = {"value": repo_dict["stargazers_count"],"label": repo_dict["description"],"xlink": repo_dict["html_url"]}plot_dicts.append(plot_dict) my_style = LS("#333366", base_style=LCS) my_config = pygal.Config() my_config.x_label_rotation = 45 my_config.show_legend = False my_config.title_font_size = 24 my_config.label_font_size = 14 my_config.major_label_font_size = 18 my_config.truncate_label = 15 my_config.show_y_guides = False my_config.width = 1000 chart = pygal.Bar(my_config, style=my_style) chart.title = "Most-Starred Python Projects on Github" chart.x_labels = names chart.add("", plot_dicts) chart.render_to_file("python_repos.svg")總結
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