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0.1.179

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guanjihuan 2025-07-10 09:45:49 +08:00
parent 9b92f0df24
commit 8f0bae617d
3 changed files with 16 additions and 2 deletions
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2
PyPI/setup.cfg
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@ -1,7 +1,7 @@
[metadata] [metadata]
# replace with your username: # replace with your username:
name = guan name = guan
version = 0.1.178 version = 0.1.179
author = guanjihuan author = guanjihuan
author_email = guanjihuan@163.com author_email = guanjihuan@163.com
description = An open source python package description = An open source python package

2
PyPI/src/guan.egg-info/PKG-INFO
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@ -1,6 +1,6 @@
Metadata-Version: 2.4 Metadata-Version: 2.4
Name: guan Name: guan
Version: 0.1.178 Version: 0.1.179
Summary: An open source python package Summary: An open source python package
Home-page: https://py.guanjihuan.com Home-page: https://py.guanjihuan.com
Author: guanjihuan Author: guanjihuan

14
PyPI/src/guan/data_processing.py
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@ -101,6 +101,20 @@ def generate_random_int_number_for_a_specific_seed(seed=0, x_min=0, x_max=10):
rand_num = np.random.randint(x_min, x_max) # 左闭右开[x_min, x_max) rand_num = np.random.randint(x_min, x_max) # 左闭右开[x_min, x_max)
return rand_num return rand_num
# ​使用Numpy库计算​总体标准差
def standard_deviation(data_array):
import numpy as np
std_result = np.std(data_array)
return std_result
# ​​使用公式计算总体标准差
def standard_deviation_with_formula(data_array):
import numpy as np
averaged_data = sum(data_array)/len(data_array)
averaged_squared_data = sum(np.array(data_array)**2)/len(data_array)
std_result = np.sqrt(averaged_squared_data-averaged_data**2)
return std_result
# 获取两个模式之间的字符串 # 获取两个模式之间的字符串
def get_string_between_two_patterns(original_string, start, end, include_start_and_end=0): def get_string_between_two_patterns(original_string, start, end, include_start_and_end=0):
import re import re