{"id":1182242,"date":"2025-01-15T19:00:56","date_gmt":"2025-01-15T11:00:56","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1182242.html"},"modified":"2025-01-15T19:00:58","modified_gmt":"2025-01-15T11:00:58","slug":"python%e5%a6%82%e4%bd%95%e5%af%b9%e5%ad%97%e5%85%b8%e8%bf%9b%e8%a1%8c%e7%bb%9f%e8%ae%a1","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1182242.html","title":{"rendered":"python\u5982\u4f55\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1"},"content":{"rendered":"

\"python\u5982\u4f55\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\"<\/p>\n

Python\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u3001\u96c6\u5408\u6a21\u5757\u3001\u6570\u636e\u5206\u6790\u5de5\u5177\u7b49\u3002\u5177\u4f53\u65b9\u6cd5\u6709\uff1a\u7edf\u8ba1\u5b57\u5178\u4e2d\u952e\u503c\u5bf9\u7684\u6570\u91cf\u3001\u7edf\u8ba1\u67d0\u4e2a\u7279\u5b9a\u952e\u6216\u503c\u7684\u51fa\u73b0\u6b21\u6570\u3001\u4f7f\u7528\u96c6\u5408\u6a21\u5757\u7684Counter\u7c7b\u8fdb\u884c\u7edf\u8ba1\u3002<\/strong> \u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u51fd\u6570len()\u6765\u7edf\u8ba1\u5b57\u5178\u4e2d\u952e\u503c\u5bf9\u7684\u6570\u91cf\u3002\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u6709\u6548\u5730\u5904\u7406\u548c\u5206\u6790\u5b57\u5178\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u8fdb\u884c\u7edf\u8ba1<\/h3>\n<\/p>\n

Python\u7684\u5185\u7f6e\u51fd\u6570\u63d0\u4f9b\u4e86\u8bb8\u591a\u7b80\u5355\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528len()\u51fd\u6570\u6765\u7edf\u8ba1\u5b57\u5178\u4e2d\u7684\u952e\u503c\u5bf9\u6570\u91cf\u3002<\/p>\n<\/p>\n

1\u3001\u7edf\u8ba1\u5b57\u5178\u4e2d\u952e\u503c\u5bf9\u7684\u6570\u91cf<\/h4>\n<\/p>\n

\u8981\u7edf\u8ba1\u4e00\u4e2a\u5b57\u5178\u4e2d\u952e\u503c\u5bf9\u7684\u6570\u91cf\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684len()\u51fd\u6570\uff0c\u8fd9\u4e2a\u51fd\u6570\u53ef\u4ee5\u76f4\u63a5\u8fd4\u56de\u5b57\u5178\u4e2d\u952e\u503c\u5bf9\u7684\u6570\u91cf\u3002<\/p>\n<\/p>\n

# \u793a\u4f8b\u4ee3\u7801<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 3}<\/p>\n
print(len(my_dict))  # \u8f93\u51fa\uff1a3<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7edf\u8ba1\u5b57\u5178\u4e2d\u7279\u5b9a\u952e\u6216\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/h4>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u7edf\u8ba1\u5b57\u5178\u4e2d\u7279\u5b9a\u952e\u6216\u503c\u7684\u51fa\u73b0\u6b21\u6570\u3002\u8fd9\u4e2a\u53ef\u4ee5\u901a\u8fc7\u904d\u5386\u5b57\u5178\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 1, 'd': 1}<\/p>\n
\u7edf\u8ba1\u503c\u4e3a1\u7684\u6b21\u6570<\/strong><\/h2>\n
value_to_count = 1<\/p>\n
count = sum(1 for value in my_dict.values() if value == value_to_count)<\/p>\n
print(count)  # \u8f93\u51fa\uff1a3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u96c6\u5408\u6a21\u5757\u7684Counter\u7c7b\u8fdb\u884c\u7edf\u8ba1<\/h3>\n<\/p>\n
Python\u7684\u96c6\u5408\u6a21\u5757\uff08collections\uff09\u63d0\u4f9b\u4e86Counter\u7c7b\uff0c\u8fd9\u4e2a\u7c7b\u53ef\u4ee5\u7528\u4e8e\u7edf\u8ba1\u5b57\u5178\u4e2d\u7684\u5143\u7d20\u51fa\u73b0\u6b21\u6570\u3002<\/p>\n<\/p>\n
1\u3001\u7edf\u8ba1\u5b57\u5178\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/h4>\n<\/p>\n
Counter\u7c7b\u53ef\u4ee5\u65b9\u4fbf\u5730\u7edf\u8ba1\u5b57\u5178\u4e2d\u6bcf\u4e2a\u503c\u7684\u51fa\u73b0\u6b21\u6570\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
from collections import Counter<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 1, 'd': 1}<\/p>\n
counter = Counter(my_dict.values())<\/p>\n
print(counter)  # \u8f93\u51fa\uff1aCounter({1: 3, 2: 1})<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7edf\u8ba1\u5b57\u5178\u952e\u7684\u51fa\u73b0\u6b21\u6570<\/h4>\n<\/p>\n
\u7c7b\u4f3c\u5730\uff0cCounter\u7c7b\u4e5f\u53ef\u4ee5\u7528\u4e8e\u7edf\u8ba1\u5b57\u5178\u4e2d\u6bcf\u4e2a\u952e\u7684\u51fa\u73b0\u6b21\u6570\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
from collections import Counter<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 1, 'a': 3}<\/p>\n
counter = Counter(my_dict.keys())<\/p>\n
print(counter)  # \u8f93\u51fa\uff1aCounter({'a': 1, 'b': 1, 'c': 1})<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528\u6570\u636e\u5206\u6790\u5de5\u5177\u8fdb\u884c\u7edf\u8ba1<\/h3>\n<\/p>\n
\u5728\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528pandas\u7b49\u6570\u636e\u5206\u6790\u5de5\u5177\u6765\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\u3002\u8fd9\u4e9b\u5de5\u5177\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u529f\u80fd\u548c\u66f4\u9ad8\u6548\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528pandas\u8fdb\u884c\u7edf\u8ba1<\/h4>\n<\/p>\n
pandas\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
import pandas as pd<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 1, 'd': 1}<\/p>\n
df = pd.DataFrame(list(my_dict.items()), columns=['Key', 'Value'])<\/p>\n
\u7edf\u8ba1\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/strong><\/h2>\n
value_counts = df['Value'].value_counts()<\/p>\n
print(value_counts)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528pandas\u8fdb\u884c\u66f4\u590d\u6742\u7684\u7edf\u8ba1\u5206\u6790<\/h4>\n<\/p>\n
pandas\u8fd8\u53ef\u4ee5\u8fdb\u884c\u66f4\u590d\u6742\u7684\u7edf\u8ba1\u5206\u6790\uff0c\u4f8b\u5982\u5206\u7ec4\u7edf\u8ba1\u3001\u805a\u5408\u7b49\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
import pandas as pd<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 1, 'd': 1, 'e': 2}<\/p>\n
df = pd.DataFrame(list(my_dict.items()), columns=['Key', 'Value'])<\/p>\n
\u5206\u7ec4\u7edf\u8ba1<\/strong><\/h2>\n
grouped = df.groupby('Value').size()<\/p>\n
print(grouped)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u7ed3\u5408\u5176\u4ed6Python\u5de5\u5177\u8fdb\u884c\u7edf\u8ba1<\/h3>\n<\/p>\n
\u9664\u4e86\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u7ed3\u5408\u5176\u4ed6Python\u5de5\u5177\u6765\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528numpy\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\uff0c\u4f7f\u7528matplotlib\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u7b49\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528numpy\u8fdb\u884c\u6570\u503c\u7edf\u8ba1<\/h4>\n<\/p>\n
numpy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u5de5\u5177\uff0c\u53ef\u4ee5\u7528\u4e8e\u5bf9\u5b57\u5178\u4e2d\u7684\u6570\u503c\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
import numpy as np<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 1, 'd': 1}<\/p>\n
values = np.array(list(my_dict.values()))<\/p>\n
\u8ba1\u7b97\u5e73\u5747\u503c<\/strong><\/h2>\n
mean_value = np.mean(values)<\/p>\n
print(mean_value)  # \u8f93\u51fa\uff1a1.25<\/p>\n
\u8ba1\u7b97\u4e2d\u4f4d\u6570<\/strong><\/h2>\n
median_value = np.median(values)<\/p>\n
print(median_value)  # \u8f93\u51fa\uff1a1.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528matplotlib\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/h4>\n<\/p>\n
matplotlib\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u53ef\u4ee5\u7528\u4e8e\u5c06\u5b57\u5178\u4e2d\u7684\u7edf\u8ba1\u7ed3\u679c\u8fdb\u884c\u53ef\u89c6\u5316\u5c55\u793a\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 1, 'd': 1}<\/p>\n
values = list(my_dict.values())<\/p>\n
\u7edf\u8ba1\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/strong><\/h2>\n
counter = Counter(values)<\/p>\n
labels, counts = zip(*counter.items())<\/p>\n
\u7ed8\u5236\u67f1\u72b6\u56fe<\/strong><\/h2>\n
plt.bar(labels, counts)<\/p>\n
plt.xlabel('Values')<\/p>\n
plt.ylabel('Counts')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u5b57\u5178\u7edf\u8ba1\u7684\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u53ef\u4ee5\u7528\u4e8e\u591a\u79cd\u573a\u666f\uff0c\u4f8b\u5982\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60<\/a>\u7b49\u3002<\/p>\n<\/p>\n
1\u3001\u6570\u636e\u6e05\u6d17<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u6e05\u6d17\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5b57\u5178\u7edf\u8ba1\u6765\u8bc6\u522b\u548c\u5904\u7406\u6570\u636e\u4e2d\u7684\u5f02\u5e38\u503c\u548c\u91cd\u590d\u503c\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
data = {'name1': 10, 'name2': 20, 'name3': 10, 'name4': 15}<\/p>\n
\u7edf\u8ba1\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/strong><\/h2>\n
value_counts = Counter(data.values())<\/p>\n
\u627e\u51fa\u51fa\u73b0\u6b21\u6570\u8d85\u8fc71\u6b21\u7684\u503c<\/strong><\/h2>\n
duplicate_values = [value for value, count in value_counts.items() if count > 1]<\/p>\n
print(duplicate_values)  # \u8f93\u51fa\uff1a[10]<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5b57\u5178\u7edf\u8ba1\u6765\u5206\u6790\u6570\u636e\u7684\u5206\u5e03\u548c\u8d8b\u52bf\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
data = {'jan': 100, 'feb': 150, 'mar': 200, 'apr': 250, 'may': 300}<\/p>\n
\u7edf\u8ba1\u6bcf\u4e2a\u6708\u7684\u9500\u552e\u989d<\/strong><\/h2>\n
sales_values = list(data.values())<\/p>\n
\u8ba1\u7b97\u603b\u9500\u552e\u989d<\/strong><\/h2>\n
total_sales = sum(sales_values)<\/p>\n
print(total_sales)  # \u8f93\u51fa\uff1a1000<\/p>\n
\u8ba1\u7b97\u5e73\u5747\u9500\u552e\u989d<\/strong><\/h2>\n
average_sales = total_sales \/ len(sales_values)<\/p>\n
print(average_sales)  # \u8f93\u51fa\uff1a200.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u673a\u5668\u5b66\u4e60<\/h4>\n<\/p>\n
\u5728\u673a\u5668\u5b66\u4e60\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5b57\u5178\u7edf\u8ba1\u6765\u5904\u7406\u548c\u5206\u6790\u7279\u5f81\u6570\u636e\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
features = {'feature1': [1, 2, 2, 3], 'feature2': [0, 1, 1, 0]}<\/p>\n
\u7edf\u8ba1\u6bcf\u4e2a\u7279\u5f81\u7684\u552f\u4e00\u503c\u6570\u91cf<\/strong><\/h2>\n
unique_counts = {k: len(set(v)) for k, v in features.items()}<\/p>\n
print(unique_counts)  # \u8f93\u51fa\uff1a{'feature1': 3, 'feature2': 2}<\/p>\n
\u5c06\u7279\u5f81\u8f6c\u6362\u4e3a\u6570\u503c<\/strong><\/h2>\n
from sklearn.preprocessing import LabelEncoder<\/p>\n
encoded_features = {k: LabelEncoder().fit_transform(v) for k, v in features.items()}<\/p>\n
print(encoded_features)  # \u8f93\u51fa\uff1a{'feature1': array([0, 1, 1, 2]), 'feature2': array([0, 1, 1, 0])}<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5b57\u5178\u7edf\u8ba1\u7684\u4f18\u5316\u7b56\u7565<\/h3>\n<\/p>\n
\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u5b57\u5178\u7edf\u8ba1\u7684\u6548\u7387\u548c\u6027\u80fd\u53ef\u80fd\u4f1a\u6210\u4e3a\u74f6\u9888\u3002\u4e3a\u4e86\u63d0\u9ad8\u7edf\u8ba1\u7684\u6548\u7387\u548c\u6027\u80fd\uff0c\u6211\u4eec\u53ef\u4ee5\u91c7\u53d6\u4e00\u4e9b\u4f18\u5316\u7b56\u7565\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528\u751f\u6210\u5668\u548c\u8fed\u4ee3\u5668<\/h4>\n<\/p>\n
\u5728\u7edf\u8ba1\u8fc7\u7a0b\u4e2d\uff0c\u4f7f\u7528\u751f\u6210\u5668\u548c\u8fed\u4ee3\u5668\u53ef\u4ee5\u51cf\u5c11\u5185\u5b58\u5360\u7528\uff0c\u63d0\u9ad8\u5904\u7406\u6548\u7387\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
data = {'a': 1, 'b': 2, 'c': 1, 'd': 1}<\/p>\n
\u4f7f\u7528\u751f\u6210\u5668\u7edf\u8ba1\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/strong><\/h2>\n
def count_values(data):<\/p>\n
    for value in data.values():<\/p>\n
        yield value<\/p>\n
counter = Counter(count_values(data))<\/p>\n
print(counter)  # \u8f93\u51fa\uff1aCounter({1: 3, 2: 1})<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528\u5e76\u884c\u5904\u7406<\/h4>\n<\/p>\n
\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u4f7f\u7528\u5e76\u884c\u5904\u7406\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u7edf\u8ba1\u7684\u6548\u7387\u548c\u6027\u80fd\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
from concurrent.futures import ThreadPoolExecutor<\/p>\n
data = {'a': 1, 'b': 2, 'c': 1, 'd': 1}<\/p>\n
def count_value(value):<\/p>\n
    return value<\/p>\n
with ThreadPoolExecutor() as executor:<\/p>\n
    results = list(executor.map(count_value, data.values()))<\/p>\n
counter = Counter(results)<\/p>\n
print(counter)  # \u8f93\u51fa\uff1aCounter({1: 3, 2: 1})<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4f7f\u7528\u9ad8\u6548\u7684\u6570\u636e\u7ed3\u6784<\/h4>\n<\/p>\n
\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u4f7f\u7528\u9ad8\u6548\u7684\u6570\u636e\u7ed3\u6784\uff08\u4f8b\u5982NumPy\u6570\u7ec4\u3001pandas\u6570\u636e\u6846\uff09\u53ef\u4ee5\u63d0\u9ad8\u7edf\u8ba1\u7684\u6548\u7387\u548c\u6027\u80fd\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
import numpy as np<\/p>\n
data = {'a': 1, 'b': 2, 'c': 1, 'd': 1}<\/p>\n
values = np.array(list(data.values()))<\/p>\n
\u7edf\u8ba1\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/strong><\/h2>\n
unique, counts = np.unique(values, return_counts=True)<\/p>\n
result = dict(zip(unique, counts))<\/p>\n
print(result)  # \u8f93\u51fa\uff1a{1: 3, 2: 1}<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u5b57\u5178\u7edf\u8ba1\u7684\u6ce8\u610f\u4e8b\u9879<\/h3>\n<\/p>\n
\u5728\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\u65f6\uff0c\u8fd8\u9700\u8981\u6ce8\u610f\u4e00\u4e9b\u5e38\u89c1\u7684\u95ee\u9898\u548c\u6ce8\u610f\u4e8b\u9879\uff0c\u4ee5\u786e\u4fdd\u7edf\u8ba1\u7ed3\u679c\u7684\u51c6\u786e\u6027\u548c\u6709\u6548\u6027\u3002<\/p>\n<\/p>\n
1\u3001\u5904\u7406\u7f3a\u5931\u503c\u548c\u5f02\u5e38\u503c<\/h4>\n<\/p>\n
\u5728\u7edf\u8ba1\u8fc7\u7a0b\u4e2d\uff0c\u7f3a\u5931\u503c\u548c\u5f02\u5e38\u503c\u53ef\u80fd\u4f1a\u5f71\u54cd\u7edf\u8ba1\u7ed3\u679c\u7684\u51c6\u786e\u6027\u3002\u56e0\u6b64\uff0c\u9700\u8981\u5bf9\u7f3a\u5931\u503c\u548c\u5f02\u5e38\u503c\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
data = {'a': 1, 'b': 2, 'c': None, 'd': 1}<\/p>\n
\u53bb\u9664\u7f3a\u5931\u503c<\/strong><\/h2>\n
cleaned_data = {k: v for k, v in data.items() if v is not None}<\/p>\n
\u7edf\u8ba1\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/strong><\/h2>\n
counter = Counter(cleaned_data.values())<\/p>\n
print(counter)  # \u8f93\u51fa\uff1aCounter({1: 2, 2: 1})<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u4e00\u81f4\u6027<\/h4>\n<\/p>\n
\u5728\u7edf\u8ba1\u8fc7\u7a0b\u4e2d\uff0c\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u4e00\u81f4\u6027\u4e5f\u975e\u5e38\u91cd\u8981\u3002\u9700\u8981\u786e\u4fdd\u6570\u636e\u6e90\u7684\u51c6\u786e\u6027\u548c\u4e00\u81f4\u6027\uff0c\u4ee5\u907f\u514d\u7edf\u8ba1\u7ed3\u679c\u7684\u8bef\u5dee\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
data = {'a': 1, 'b': 2, 'c': 1, 'd': 1}<\/p>\n
\u786e\u4fdd\u6570\u636e\u7684\u552f\u4e00\u6027<\/strong><\/h2>\n
unique_data = {k: v for k, v in data.items() if k not in unique_data}<\/p>\n
\u7edf\u8ba1\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/strong><\/h2>\n
counter = Counter(unique_data.values())<\/p>\n
print(counter)  # \u8f93\u51fa\uff1aCounter({1: 3, 2: 1})<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u5b9e\u9645\u5e94\u7528\u6848\u4f8b<\/h3>\n<\/p>\n
\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3Python\u5b57\u5178\u7edf\u8ba1\u7684\u5e94\u7528\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4e00\u4e9b\u5b9e\u9645\u6848\u4f8b\u6765\u8fdb\u884c\u6f14\u793a\u3002<\/p>\n<\/p>\n
1\u3001\u7edf\u8ba1\u6587\u672c\u4e2d\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570<\/h4>\n<\/p>\n
\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\uff0c\u7edf\u8ba1\u6587\u672c\u4e2d\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u4efb\u52a1\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
text = "Python is great and Python is easy to learn"<\/p>\n
words = text.split()<\/p>\n
\u7edf\u8ba1\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570<\/strong><\/h2>\n
word_counts = Counter(words)<\/p>\n
print(word_counts)  # \u8f93\u51fa\uff1aCounter({'Python': 2, 'is': 2, 'great': 1, 'and': 1, 'easy': 1, 'to': 1, 'learn': 1})<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7edf\u8ba1\u7528\u6237\u884c\u4e3a\u6570\u636e<\/h4>\n<\/p>\n
\u5728\u7528\u6237\u884c\u4e3a\u5206\u6790\u4e2d\uff0c\u7edf\u8ba1\u7528\u6237\u7684\u884c\u4e3a\u6570\u636e\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u4e86\u89e3\u7528\u6237\u7684\u884c\u4e3a\u6a21\u5f0f\u548c\u504f\u597d\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801<\/p>\n
user_actions = [{'user_id': 1, 'action': 'click'}, {'user_id': 2, 'action': 'view'}, {'user_id': 1, 'action': 'click'}, {'user_id': 1, 'action': 'view'}]<\/p>\n
\u7edf\u8ba1\u6bcf\u4e2a\u7528\u6237\u7684\u884c\u4e3a\u6b21\u6570<\/strong><\/h2>\n
user_action_counts = Counter((action['user_id'], action['action']) for action in user_actions)<\/p>\n
print(user_action_counts)  # \u8f93\u51fa\uff1aCounter({(1, 'click'): 2, (2, 'view'): 1, (1, 'view'): 1})<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\u548c\u6848\u4f8b\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230Python\u5b57\u5178\u7edf\u8ba1\u7684\u5f3a\u5927\u529f\u80fd\u548c\u5e7f\u6cdb\u5e94\u7528\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u548c\u5de5\u5177\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u9ad8\u6548\u5730\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5bf9\u5b57\u5178\u4e2d\u7684\u6570\u636e\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5bf9\u5b57\u5178\u4e2d\u7684\u6570\u636e\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u3001\u5faa\u73af\u904d\u5386\u5b57\u5178\u9879\u3001\u6216\u8005\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93\u5982Pandas\u3002\u53ef\u4ee5\u8ba1\u7b97\u5b57\u5178\u4e2d\u503c\u7684\u603b\u548c\u3001\u5e73\u5747\u503c\u3001\u6700\u5927\u503c\u548c\u6700\u5c0f\u503c\u7b49\u3002\u4e3e\u4e2a\u4f8b\u5b50\uff0c\u5982\u679c\u5b57\u5178\u5305\u542b\u4e0d\u540c\u5546\u54c1\u7684\u9500\u552e\u989d\uff0c\u53ef\u4ee5\u901a\u8fc7\u904d\u5386\u5b57\u5178\u5e76\u7d2f\u52a0\u503c\u6765\u8ba1\u7b97\u603b\u9500\u552e\u989d\u3002<\/p>\n
\u5b57\u5178\u7684\u7edf\u8ba1\u7ed3\u679c\u5982\u4f55\u53ef\u89c6\u5316\uff1f<\/strong>
\u53ef\u89c6\u5316\u5b57\u5178\u7edf\u8ba1\u7ed3\u679c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u6216Seaborn\u7b49\u5e93\u3002\u901a\u8fc7\u5c06\u5b57\u5178\u7684\u952e\u4f5c\u4e3ax\u8f74\uff0c\u503c\u4f5c\u4e3ay\u8f74\uff0c\u53ef\u4ee5\u7ed8\u5236\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u7b49\uff0c\u4ece\u800c\u66f4\u76f4\u89c2\u5730\u663e\u793a\u6570\u636e\u5206\u5e03\u548c\u6bd4\u8f83\u3002\u5c06\u5b57\u5178\u6570\u636e\u8f6c\u6362\u4e3aDataFrame\u683c\u5f0f\u540e\uff0c\u53ef\u4ee5\u8f7b\u677e\u751f\u6210\u5404\u79cd\u56fe\u8868\u3002<\/p>\n
\u5728\u5b57\u5178\u4e2d\u5982\u4f55\u5904\u7406\u7f3a\u5931\u6216\u5f02\u5e38\u503c\uff1f<\/strong>
\u5728\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\u65f6\uff0c\u5904\u7406\u7f3a\u5931\u6216\u5f02\u5e38\u503c\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u6761\u4ef6\u8bed\u53e5\u6765\u8fc7\u6ee4\u6389\u4e0d\u7b26\u5408\u8981\u6c42\u7684\u6570\u636e\uff0c\u6bd4\u5982\u53ea\u7edf\u8ba1\u5927\u4e8e\u96f6\u7684\u503c\u3002\u6b64\u5916\uff0c\u4f7f\u7528Python\u7684NumPy\u5e93\u53ef\u4ee5\u66f4\u65b9\u4fbf\u5730\u5904\u7406\u7f3a\u5931\u503c\uff0c\u786e\u4fdd\u7edf\u8ba1\u7ed3\u679c\u7684\u51c6\u786e\u6027\u548c\u53ef\u9760\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5bf9\u5b57\u5178\u8fdb\u884c\u7edf\u8ba1\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u3001\u96c6\u5408\u6a21\u5757\u3001\u6570\u636e\u5206\u6790\u5de5\u5177\u7b49\u3002\u5177\u4f53\u65b9\u6cd5\u6709\uff1a\u7edf\u8ba1\u5b57\u5178\u4e2d […]","protected":false},"author":3,"featured_media":1182245,"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\/1182242"}],"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=1182242"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1182242\/revisions"}],"predecessor-version":[{"id":1182246,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1182242\/revisions\/1182246"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1182245"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1182242"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1182242"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1182242"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}