{"id":1165121,"date":"2025-01-15T15:16:29","date_gmt":"2025-01-15T07:16:29","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1165121.html"},"modified":"2025-01-15T15:16:31","modified_gmt":"2025-01-15T07:16:31","slug":"python%e5%a6%82%e4%bd%95%e9%97%b4%e9%9a%94%e8%af%bb%e5%ad%97%e5%85%b8%e5%80%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1165121.html","title":{"rendered":"Python\u5982\u4f55\u95f4\u9694\u8bfb\u5b57\u5178\u503c"},"content":{"rendered":"

\"Python\u5982\u4f55\u95f4\u9694\u8bfb\u5b57\u5178\u503c\"<\/p>\n

Python\u95f4\u9694\u8bfb\u5b57\u5178\u503c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u89e3\u6790\u3001itertools\u6a21\u5757\u3001\u5faa\u73af\u7b49\u65b9\u5f0f\u5b9e\u73b0\u3002<\/strong> \u4f8b\u5982\uff0c\u5229\u7528itertools.islice()\u51fd\u6570\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u4f60\u53ef\u4ee5\u6307\u5b9a\u8bfb\u53d6\u7684\u5f00\u59cb\u4f4d\u7f6e\u3001\u7ed3\u675f\u4f4d\u7f6e\u4ee5\u53ca\u6b65\u957f\uff0c\u4ece\u800c\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528itertools.islice()\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c<\/h3>\n<\/p>\n

itertools\u6a21\u5757\u63d0\u4f9b\u4e86\u8bb8\u591a\u6709\u7528\u7684\u8fed\u4ee3\u5668\u51fd\u6570\uff0c\u5176\u4e2d\u7684islice()\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002islice()\u51fd\u6570\u7684\u57fa\u672c\u7528\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

import itertools<\/p>\n
\u793a\u4f8b\u5b57\u5178<\/strong><\/h2>\n
data = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}<\/p>\n
\u4f7f\u7528islice\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
values = list(itertools.islice(data.values(), 0, None, 2))<\/p>\n
print(values)  # \u8f93\u51fa: [1, 3, 5]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528itertools.islice()\u51fd\u6570\u4ece\u5b57\u5178data\u4e2d\u4ee5\u6b65\u957f\u4e3a2\u95f4\u9694\u8bfb\u53d6\u503c\uff0c\u5e76\u5c06\u7ed3\u679c\u8f6c\u6362\u4e3a\u5217\u8868\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u5217\u8868\u89e3\u6790\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c<\/h3>\n<\/p>\n
\u5217\u8868\u89e3\u6790\u662f\u4e00\u79cd\u7b80\u6d01\u4e14\u9ad8\u6548\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7528\u6765\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002\u901a\u8fc7\u5728\u5217\u8868\u89e3\u6790\u4e2d\u4f7f\u7528\u7d22\u5f15\u548c\u6b65\u957f\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u793a\u4f8b\u5b57\u5178<\/p>\n
data = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}<\/p>\n
\u4f7f\u7528\u5217\u8868\u89e3\u6790\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
values = [v for i, v in enumerate(data.values()) if i % 2 == 0]<\/p>\n
print(values)  # \u8f93\u51fa: [1, 3, 5]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528enumerate()\u51fd\u6570\u83b7\u53d6\u5b57\u5178\u503c\u7684\u7d22\u5f15\uff0c\u5e76\u901a\u8fc7\u5224\u65ad\u7d22\u5f15\u662f\u5426\u4e3a\u5076\u6570\u6765\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528\u5faa\u73af\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c<\/h3>\n<\/p>\n
\u4f7f\u7528\u5faa\u73af\u4e5f\u662f\u4e00\u79cd\u5e38\u89c1\u4e14\u76f4\u89c2\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7528\u6765\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002\u901a\u8fc7\u624b\u52a8\u63a7\u5236\u7d22\u5f15\u7684\u6b65\u957f\uff0c\u53ef\u4ee5\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u793a\u4f8b\u5b57\u5178<\/p>\n
data = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}<\/p>\n
\u4f7f\u7528\u5faa\u73af\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
values = []<\/p>\n
keys = list(data.keys())<\/p>\n
for i in range(0, len(keys), 2):<\/p>\n
    values.append(data[keys[i]])<\/p>\n
print(values)  # \u8f93\u51fa: [1, 3, 5]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5c06\u5b57\u5178\u7684\u952e\u8f6c\u6362\u4e3a\u5217\u8868\uff0c\u7136\u540e\u901a\u8fc7\u63a7\u5236\u5faa\u73af\u7684\u6b65\u957f\u6765\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528numpy\u5e93\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u5927\u91cf\u6570\u636e\uff0c\u4f7f\u7528numpy\u5e93\u53ef\u80fd\u4f1a\u66f4\u9ad8\u6548\u3002numpy\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u7ec4\u64cd\u4f5c\u529f\u80fd\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u793a\u4f8b\u5b57\u5178<\/strong><\/h2>\n
data = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}<\/p>\n
\u4f7f\u7528numpy\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
values = np.array(list(data.values()))[::2]<\/p>\n
print(values)  # \u8f93\u51fa: [1 3 5]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528numpy.array()\u51fd\u6570\u5c06\u5b57\u5178\u7684\u503c\u8f6c\u6362\u4e3anumpy\u6570\u7ec4\uff0c\u7136\u540e\u901a\u8fc7\u6570\u7ec4\u5207\u7247\u64cd\u4f5c\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528pandas\u5e93\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c<\/h3>\n<\/p>\n
pandas\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u3002\u901a\u8fc7\u5c06\u5b57\u5178\u8f6c\u6362\u4e3apandas DataFrame\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u793a\u4f8b\u5b57\u5178<\/strong><\/h2>\n
data = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}<\/p>\n
\u5c06\u5b57\u5178\u8f6c\u6362\u4e3aDataFrame<\/strong><\/h2>\n
df = pd.DataFrame.from_dict(data, orient='index', columns=['value'])<\/p>\n
\u4f7f\u7528iloc\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
values = df.iloc[::2, 0].tolist()<\/p>\n
print(values)  # \u8f93\u51fa: [1, 3, 5]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5c06\u5b57\u5178\u8f6c\u6362\u4e3apandas DataFrame\uff0c\u7136\u540e\u901a\u8fc7iloc\u5c5e\u6027\u8fdb\u884c\u95f4\u9694\u8bfb\u53d6\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4f7f\u7528collections.OrderedDict\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u4fdd\u6301\u5b57\u5178\u7684\u987a\u5e8f\u3002collections.OrderedDict\u662f\u4e00\u4e2a\u6709\u5e8f\u5b57\u5178\uff0c\u53ef\u4ee5\u7528\u6765\u5b9e\u73b0\u8fd9\u4e00\u9700\u6c42\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from collections import OrderedDict<\/p>\n
\u793a\u4f8b\u6709\u5e8f\u5b57\u5178<\/strong><\/h2>\n
data = OrderedDict([('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e', 5)])<\/p>\n
\u4f7f\u7528OrderedDict\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
values = [v for i, (k, v) in enumerate(data.items()) if i % 2 == 0]<\/p>\n
print(values)  # \u8f93\u51fa: [1, 3, 5]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528OrderedDict\u6765\u521b\u5efa\u4e00\u4e2a\u6709\u5e8f\u5b57\u5178\uff0c\u5e76\u901a\u8fc7\u5217\u8868\u89e3\u6790\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528\u751f\u6210\u5668\u51fd\u6570\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c<\/h3>\n<\/p>\n
\u751f\u6210\u5668\u51fd\u6570\u662f\u4e00\u79cd\u9ad8\u6548\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5728\u9700\u8981\u65f6\u751f\u6210\u503c\uff0c\u800c\u4e0d\u662f\u4e00\u6b21\u6027\u751f\u6210\u6240\u6709\u503c\u3002\u901a\u8fc7\u751f\u6210\u5668\u51fd\u6570\uff0c\u53ef\u4ee5\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u793a\u4f8b\u5b57\u5178<\/p>\n
data = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}<\/p>\n
\u5b9a\u4e49\u751f\u6210\u5668\u51fd\u6570\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
def interval_read(d, step):<\/p>\n
    it = iter(d.values())<\/p>\n
    while True:<\/p>\n
        try:<\/p>\n
            yield next(it)<\/p>\n
            for _ in range(step - 1):<\/p>\n
                next(it)<\/p>\n
        except StopIteration:<\/p>\n
            break<\/p>\n
\u4f7f\u7528\u751f\u6210\u5668\u51fd\u6570\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
values = list(interval_read(data, 2))<\/p>\n
print(values)  # \u8f93\u51fa: [1, 3, 5]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u751f\u6210\u5668\u51fd\u6570interval_read\uff0c\u901a\u8fc7\u63a7\u5236\u6b65\u957f\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002<\/p>\n<\/p>\n
\u516b\u3001\u4f7f\u7528\u81ea\u5b9a\u4e49\u7c7b\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u9700\u8981\u66f4\u52a0\u7075\u6d3b\u548c\u590d\u6742\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u5b9a\u4e49\u4e00\u4e2a\u81ea\u5b9a\u4e49\u7c7b\u6765\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u793a\u4f8b\u5b57\u5178<\/p>\n
data = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}<\/p>\n
\u5b9a\u4e49\u81ea\u5b9a\u4e49\u7c7b\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
class IntervalDictReader:<\/p>\n
    def __init__(self, d, step):<\/p>\n
        self.d = d<\/p>\n
        self.step = step<\/p>\n
    def read(self):<\/p>\n
        it = iter(self.d.values())<\/p>\n
        result = []<\/p>\n
        while True:<\/p>\n
            try:<\/p>\n
                result.append(next(it))<\/p>\n
                for _ in range(self.step - 1):<\/p>\n
                    next(it)<\/p>\n
            except StopIteration:<\/p>\n
                break<\/p>\n
        return result<\/p>\n
\u4f7f\u7528\u81ea\u5b9a\u4e49\u7c7b\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
reader = IntervalDictReader(data, 2)<\/p>\n
values = reader.read()<\/p>\n
print(values)  # \u8f93\u51fa: [1, 3, 5]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u81ea\u5b9a\u4e49\u7c7bIntervalDictReader\uff0c\u901a\u8fc7\u63a7\u5236\u6b65\u957f\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002<\/p>\n<\/p>\n
\u4e5d\u3001\u4f7f\u7528\u5d4c\u5957\u5b57\u5178\u95f4\u9694\u8bfb\u53d6\u503c<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4f60\u53ef\u80fd\u4f1a\u9047\u5230\u5d4c\u5957\u5b57\u5178\u7684\u60c5\u51b5\u3002\u6b64\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u9012\u5f52\u51fd\u6570\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5d4c\u5957\u5b57\u5178\u7684\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u793a\u4f8b\u5d4c\u5957\u5b57\u5178<\/p>\n
data = {'a': {'x': 1, 'y': 2}, 'b': {'x': 3, 'y': 4}, 'c': {'x': 5, 'y': 6}}<\/p>\n
\u5b9a\u4e49\u9012\u5f52\u51fd\u6570\u95f4\u9694\u8bfb\u53d6\u5d4c\u5957\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
def interval_read_nested(d, step, level=0):<\/p>\n
    if isinstance(d, dict):<\/p>\n
        it = iter(d.items())<\/p>\n
        result = {}<\/p>\n
        while True:<\/p>\n
            try:<\/p>\n
                k, v = next(it)<\/p>\n
                if level % step == 0:<\/p>\n
                    result[k] = interval_read_nested(v, step, level + 1)<\/p>\n
                else:<\/p>\n
                    for _ in range(step - 1):<\/p>\n
                        next(it)<\/p>\n
            except StopIteration:<\/p>\n
                break<\/p>\n
        return result<\/p>\n
    else:<\/p>\n
        return d<\/p>\n
\u4f7f\u7528\u9012\u5f52\u51fd\u6570\u95f4\u9694\u8bfb\u53d6\u5d4c\u5957\u5b57\u5178\u7684\u503c<\/strong><\/h2>\n
values = interval_read_nested(data, 2)<\/p>\n
print(values)  # \u8f93\u51fa: {'a': {'x': 1, 'y': 2}, 'c': {'x': 5, 'y': 6}}<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u9012\u5f52\u51fd\u6570interval_read_nested\uff0c\u901a\u8fc7\u63a7\u5236\u6b65\u957f\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5d4c\u5957\u5b57\u5178\u7684\u503c\u3002<\/p>\n<\/p>\n
\u5341\u3001\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c\u7684\u5b9e\u9645\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u6709\u8bb8\u591a\u573a\u666f\uff0c\u4f8b\u5982\u6570\u636e\u91c7\u6837\u3001\u6570\u636e\u5206\u6790\u3001\u6570\u636e\u53ef\u89c6\u5316\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n
1. \u6570\u636e\u91c7\u6837<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u91c7\u6837\u4e2d\uff0c\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u53ef\u4ee5\u7528\u6765\u4ece\u5927\u6570\u636e\u96c6\u4e2d\u63d0\u53d6\u5177\u6709\u4ee3\u8868\u6027\u7684\u6570\u636e\u6837\u672c\u3002\u901a\u8fc7\u95f4\u9694\u8bfb\u53d6\uff0c\u53ef\u4ee5\u51cf\u5c11\u6570\u636e\u91cf\uff0c\u540c\u65f6\u4fdd\u6301\u6570\u636e\u7684\u4ee3\u8868\u6027\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u6570\u636e\u91c7\u6837<\/p>\n
data = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6, 'g': 7, 'h': 8, 'i': 9, 'j': 10}<\/p>\n
\u4f7f\u7528islice\u8fdb\u884c\u6570\u636e\u91c7\u6837<\/strong><\/h2>\n
import itertools<\/p>\n
sample = list(itertools.islice(data.values(), 0, None, 3))<\/p>\n
print(sample)  # \u8f93\u51fa: [1, 4, 7, 10]<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u53ef\u4ee5\u7528\u6765\u51cf\u5c11\u6570\u636e\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u5206\u6790\u6548\u7387\u3002\u4f8b\u5982\uff0c\u5728\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u95f4\u9694\u8bfb\u53d6\u6765\u63d0\u53d6\u5173\u952e\u6570\u636e\u70b9\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/p>\n
time_series = {'2023-01-01': 100, '2023-01-02': 110, '2023-01-03': 120, '2023-01-04': 130, '2023-01-05': 140}<\/p>\n
\u4f7f\u7528\u5217\u8868\u89e3\u6790\u8fdb\u884c\u6570\u636e\u5206\u6790<\/strong><\/h2>\n
values = [v for i, v in enumerate(time_series.values()) if i % 2 == 0]<\/p>\n
print(values)  # \u8f93\u51fa: [100, 120, 140]<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u6570\u636e\u53ef\u89c6\u5316<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\uff0c\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u53ef\u4ee5\u7528\u6765\u51cf\u5c11\u7ed8\u56fe\u7684\u6570\u636e\u70b9\uff0c\u4ece\u800c\u63d0\u9ad8\u7ed8\u56fe\u901f\u5ea6\u548c\u53ef\u8bfb\u6027\u3002\u4f8b\u5982\uff0c\u5728\u6298\u7ebf\u56fe\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u95f4\u9694\u8bfb\u53d6\u6765\u51cf\u5c11\u6570\u636e\u70b9\u7684\u6570\u91cf\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
data = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6, 'g': 7, 'h': 8, 'i': 9, 'j': 10}<\/p>\n
\u4f7f\u7528numpy\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/h2>\n
import numpy as np<\/p>\n
values = np.array(list(data.values()))[::2]<\/p>\n
\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(values)<\/p>\n
plt.xlabel('Index')<\/p>\n
plt.ylabel('Value')<\/p>\n
plt.title('Sampled Data Visualization')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u7684\u503c\uff0c\u53ef\u4ee5\u6709\u6548\u51cf\u5c11\u6570\u636e\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u6570\u636e\u53ef\u89c6\u5316\u7684\u6548\u7387\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
\u603b\u7ed3<\/h3>\n<\/p>\n
\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u591a\u79cd\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528itertools.islice()\u3001\u5217\u8868\u89e3\u6790\u3001\u5faa\u73af\u3001numpy\u5e93\u3001pandas\u5e93\u3001collections.OrderedDict\u3001\u751f\u6210\u5668\u51fd\u6570\u3001\u81ea\u5b9a\u4e49\u7c7b\u548c\u9012\u5f52\u51fd\u6570\u7b49\u3002\u540c\u65f6\uff0c\u672c\u6587\u8fd8\u4ecb\u7ecd\u4e86\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c\u7684\u5b9e\u9645\u5e94\u7528\u573a\u666f\uff0c\u5982\u6570\u636e\u91c7\u6837\u3001\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u53ef\u89c6\u5316\u7b49\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\u548c\u5e94\u7528\u573a\u666f\uff0c\u4f60\u53ef\u4ee5\u7075\u6d3b\u5730\u5b9e\u73b0\u95f4\u9694\u8bfb\u53d6\u5b57\u5178\u503c\u7684\u9700\u6c42\uff0c\u4ece\u800c\u63d0\u9ad8\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u6548\u7387\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5b9a\u65f6\u8bfb\u53d6\u5b57\u5178\u7684\u503c\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528time<\/code>\u6a21\u5757\u7684sleep()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u5b9a\u65f6\u8bfb\u53d6\u5b57\u5178\u503c\u7684\u529f\u80fd\u3002\u901a\u8fc7\u8bbe\u7f6e\u4e00\u4e2a\u5faa\u73af\uff0c\u6bcf\u6b21\u8bfb\u53d6\u5b57\u5178\u4e2d\u7684\u67d0\u4e2a\u503c\uff0c\u7136\u540e\u6682\u505c\u4e00\u6bb5\u65f6\u95f4\u540e\u518d\u8bfb\u53d6\u4e0b\u4e00\u4e2a\u503c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e2a\u7b80\u5355\u7684for<\/code>\u5faa\u73af\u548csleep()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n
\u5b57\u5178\u7684\u503c\u53ef\u4ee5\u88ab\u591a\u6b21\u8bfb\u53d6\u5417\uff1f<\/strong>
\u662f\u7684\uff0cPython\u5b57\u5178\u7684\u503c\u662f\u53ef\u4ee5\u591a\u6b21\u8bfb\u53d6\u7684\u3002\u5b57\u5178\u7684\u503c\u5b58\u50a8\u5728\u5185\u5b58\u4e2d\uff0c\u60a8\u53ef\u4ee5\u5728\u4efb\u4f55\u65f6\u5019\u8bbf\u95ee\u5b83\u4eec\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u952e\u6765\u83b7\u53d6\u7279\u5b9a\u7684\u503c\uff0c\u5e76\u6839\u636e\u9700\u8981\u91cd\u590d\u8bfb\u53d6\u3002<\/p>\n
\u5982\u4f55\u5728\u8bfb\u53d6\u5b57\u5178\u503c\u65f6\u5904\u7406\u5f02\u5e38\u60c5\u51b5\uff1f<\/strong>
\u5728\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u5f02\u5e38\u60c5\u51b5\uff0c\u6bd4\u5982\u952e\u4e0d\u5b58\u5728\u3002\u4e3a\u4e86\u9632\u6b62\u7a0b\u5e8f\u5d29\u6e83\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528try-except<\/code>\u7ed3\u6784\u6765\u6355\u83b7KeyError<\/code>\u5f02\u5e38\uff0c\u5e76\u63d0\u4f9b\u9002\u5f53\u7684\u9519\u8bef\u5904\u7406\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5728\u8bfb\u53d6\u524d\u68c0\u67e5\u952e\u662f\u5426\u5b58\u5728\uff0c\u6216\u4f7f\u7528dict.get()<\/code>\u65b9\u6cd5\uff0c\u8fd9\u6837\u5373\u4f7f\u952e\u4e0d\u5b58\u5728\u4e5f\u4e0d\u4f1a\u5f15\u53d1\u5f02\u5e38\u3002<\/p>\n
\u662f\u5426\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u65b9\u5f0f\u8bfb\u53d6\u5b57\u5178\u7684\u503c\uff0c\u6bd4\u5982\u751f\u6210\u5668\uff1f<\/strong>
\u786e\u5b9e\u53ef\u4ee5\u4f7f\u7528\u751f\u6210\u5668\u6765\u8bfb\u53d6\u5b57\u5178\u7684\u503c\u3002\u901a\u8fc7\u5b9a\u4e49\u4e00\u4e2a\u751f\u6210\u5668\u51fd\u6570\uff0c\u53ef\u4ee5\u6309\u9700\u9010\u4e2a\u8fd4\u56de\u5b57\u5178\u7684\u503c\uff0c\u800c\u4e0d\u662f\u4e00\u6b21\u6027\u5c06\u6240\u6709\u503c\u8bfb\u53d6\u5230\u5185\u5b58\u4e2d\u3002\u8fd9\u79cd\u65b9\u5f0f\u5728\u5904\u7406\u5927\u578b\u5b57\u5178\u65f6\u7279\u522b\u6709\u6548\uff0c\u6709\u52a9\u4e8e\u8282\u7701\u5185\u5b58\u5e76\u63d0\u9ad8\u6027\u80fd\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u95f4\u9694\u8bfb\u5b57\u5178\u503c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u89e3\u6790\u3001itertools\u6a21\u5757\u3001\u5faa\u73af\u7b49\u65b9\u5f0f\u5b9e\u73b0\u3002 \u4f8b\u5982\uff0c\u5229\u7528i […]","protected":false},"author":3,"featured_media":1165131,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1165121"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1165121"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1165121\/revisions"}],"predecessor-version":[{"id":1165134,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1165121\/revisions\/1165134"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1165131"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1165121"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1165121"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1165121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}