serendipity-11 发表于 2024-1-20 10:18:45

利用python处理pandas数据

咨询一下,利用python处理pandas数据时(如下),按行进行筛选数据进行高亮处理:若每行的每个数>该行平均值+3*该行标准差,则标记为黄色,最终将excel导出。谢谢

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UZu4Re+8vNbyb6F+m2n31+a28vueT1hxc/Bnoa2IAbn2PKb3x/zXK7tr/6zIdm8XzJ8cNej73HA19/Y324jFJPt/F20Z8f1N4vbsPED6//C89vAra9Bdz12Gd9bTJ+lT6MC3gqIbKgLx6x9QJes5iHtRy8qk3LvonjRHH5LW57+bI4dpak0nFwxLJFf7xmAca3R508wDobdpLYV7kgCD9SLcyJP1WcumXcqX4qjd3039iPYEz6eLWH7/YG85VcbPw4tLfyPWVOz0ja199j+VcG8lsOczxcfQz0lIxGn7Z+Ve8Z+fdZZ5uaQe0vF57fuPp471++7FPPlGtcf5TvtbRPba/fntt/Yx4WjEkf1nrCtUdLe6U+Alb8QB/FesJtz7B3hTyG1/KYykWvjG77i81vlv132q9tnqr3uO0zLlcfORRO/HDHw7eBSXyORh+u/xnV1z7zoZk/Xmz8tIxDrYP/eODqLzHTh8u49WzWh2Fvg3iWIH5ymHNi93/h+Y1tD/k6N//w2hfJfcSk3muMQ4FKH8sLeIrJKYO7vY+cZPBVQyWTbTKeQnhue/HaVl4Fzf9iimUNY7xGAca2h4q0nTJhs0j9oNZPtkh0DiMj8ZOmwaj8z6T/hiBS+3fKaPTxbA/f7dnzzbjU+OHaL19g1KOu5+r2nKjI7Uz/ykF+y+GNh6sPW8+Msejj3b9Fz25qhgZ/Yc4351L16aN/v3qmXGp+49o7Wa+aBuNgveLXEymj0Ye5nhjVYwx95Pg58QN9KnDbM+1dRsZLeqxWnU/ot7/U/GbXf7f9uPmN2z7nYvUxiB/WeNg2MIvPsehj5K+NY1T4q/d8aOaPlxo/7PXYdzyw9U8x0ofLCPTkxifX3ux4zkD8ZDDnxO7fcL5j0cfEHtz1wWd9zR9/ikofjWfgtTP5MBP/3dNf7r07FSy+rimiZ/q2OXe2+/ksbPeZFtnfZSb06S6it5ffp/vRctvL1xb3C/FfxyT3Tp2f728qNtX9hPnj5eGm/wP9ecv+acFudUvPyy09VQdz+ENvNKMPmiIsnmKKa51kTD6Iniqw+j/S3734v9kHtU9k/e9dOLxgEH282sN3e4kbf9Qh/Pjx76+T+1eK46cGG6TMis7EjGcbLjG/ccfD1YetpwUh6dME3x5uaoZGf7nS/NaM7/5962nOKPIbE3b9xgL1Wxm+Pfj6cOIH+tRg1wfm+UrG8H79g+41d+a25zKO/Gbev2/7+WYU+niur/k28PSZkoKQ9GnC//kj195+51sk/Pjhr8fe44Gtf3+MIh9yYdr7Wj8/GCZ+TOrlS85vJvbgrg8+62u35z/WF/CO6WjcJNvJJxJ609ufQ/ZCNtku3v4IF5Bw2/tiR6upCHa6o+3hQAe5bZdEzw80LT380vd4XfYf0cdp9k8Tjhv69hzR+ms91BMfij7SVIx3sype9JzTfMV8KOrup7D7kj4XDmPSf9Q42Sl9LPmoDcPo04c9fLfnzNecccSPhGO/yac7it5e6LdK6ONf2oux3n3STOhZ++LhncZzK5ec3xz5t0KfVrjtWxlGH9/+7YSOeHamfytj0mcg/XXp1NOEceQ3p/ZW1G8m/aN+K+PMHgp9TIA+Z3qrl3Yrut2v6Yf+1TteezbjyG8pBv1r2o+b3/pb38ahj9/62qUNXDOMPk79L2tfPHY/+dDSH7UYT37TX4/9x0Nv6yGbcejJjU+n9lbEszmInxx+vXzZ+a2f8wcmjHrZ1fgtL+Ad6ffLW8sVWC4TSn/Q97eUNJonK/ZIdijDbe+aozzJjZa0fb2nxWRCE7ktnuhVXsRTJFbf43XT/xs9TPPEzk/wu+8P9LZ8VF6ZPsjL77M/9P1mSi+Fi57btRjb823lomcTR9ptVjS/3dNyW/52CK//1AebA8j9txv61sevPXy3z7HzRw5hx4+B/Sb39LiU41nR5ng++lEUKavpg8jn6jitIwq+L/VxuYlnfS4zv7nwb7U+zXDb69G7Pp792wVt/pLiQn89xqHPEPrr062nOaHnNzf2bq7feP2jfvNTz7bowwL6VNf7fuqlHa2Edusf90IBHbjtzQk+vyVw+2fYj5s/e17fQtenj/rajQ380Ls+zvxvyPNHO3/kEHb8mK3HPuOhH/3NCT0fcuPTnb0v5PMDBcPFj2m9fKn5rf/zBz106z234ze/gJfcInJKD29t31q7TuTFuvhVcZK7+ExL4aiN2oVK8q0KQbSk9XabJHdWghcLx7fkl7YtfvL8TPv1gV6fzhc9F/dP9HpYU/T2QF8Kt1U9IxaMeR7sU/r28pEeD6/qn5Qz+l98lr+W/CYWv+yFIsk3kAPDRB+P9vDd3tof+8Zz/Jj4q7xN1mG9F4vm9LRgTkVxl/qETj6XsSfyP63poGpvFM8DEVp+c+LfHfrU4LbvEQN7ePdvG7r85QryG0ufQfRnoBP/Q2LrTxrzM7O3fv3G6R/1m6t6Vl8fDtBHUf94rpe6b+1Thtt+UHznN4P+ufbj5s9e1zdbelh/+q+vLwgDe9j7X0d97TMfjk1/z/ET5HrseT0clB7yITs+re19WZ8flBg4ftj9X3h+CzFfceo9p+N/f3+P8+3p6Sl7NF6R9MGNoml9i5bxtvokPuVD+JofbFml/IA/jYcglh6iyG1fh/fAQi5VO/DGy3/IpL09Osn0bjtG+0NV5RCkPzWPIXm/6QmXh4P4n9y28Xa9TMdSacvvP7Vb1b8PwlaReG3ZMJ6x6OPfHr7bt9Dij5caP/k4OfbeLmWfy1gsmFn8iG27jpdJP23HkuTHU7fj+1cK8psGGuPp0qeOXvvx6OPXv6twa4bueG7hIvKbrT4FPPTvS89LXn+M7Z23banf+P3n8SvsUngD9RvPHgla+pTpjh/oU5wfX88ynfaWc1TEYGO/3PYZl5vfWlD1z7YfP7+Z5NtL1cc2fkrUxmNvg+58mDIefezqq3zcTe1s9dS1t5IWf7zc/JbrIcZRaKRej/3Hg6n+fH24jEdPTnzaxltul664R/wkrxrMidN/BxeR3+zswV0fOtvLOSr8ozluzMav0kf7F3jR+nxlVG5i3/RXZk6/oZfdU7XygL/mnxvKi7fJtdsS3PY+OB53yf2E59m3H9JNPhevju/xeu0/+bl22zHS26xGd5/af1qa3INZzVTeFLZyW9UT2bdFJpNF9o2RLc2eb2m1y97PYfU/ofvXA61ne7ot/Kx3+o3o8cdX+ihM1vazYS6D6OPVHr7bt9Dpj3zCjx+e/Y6bL3T7PKOtyN/3i0UWP2Jb3NOT7IdavnF13IicNqWXmVgPXlt+Lm4azwaEr4/AlT26xqOrTw63vQF969OLfxuj6S9NXEB+s9Kniu/+O7HUU4O+9SnTPT8re+dtW+o3fv+o35zVsxr68IE+tfXeW70U7q0zcwbR54Tr9ZhvP25+63d9G4k+nutrrzawpG99rPwvwPPHEp3+yKdvfcroxA9/PfY6J8lQ+msQup5G8Wlq7wv8/KBMCPHjsF6+iPzW7/lDOyb1srvxM26hOT0nArF54fibRKwUfqqa3i+0LVkn9+89JR9uez8cN3OaTm/pZT+ju8JPQg/i5Ff4YgHf4+3RHo0JXmra/lDjZIGweOhticmCkl+o/jx/wmDWvwiyp1eK40y70wXr9B61sw8uYmAYffqxh+/2HbTYVJ9xxE+Krv3SgkQk2Ybn2Ezo011Eby+/6+ORxdr0gSi7DUPTiJzGcytXmN9yVOPR1OcEtz2bIfTx799WaMdzBy021Wdk+rThu/8mXOmpZAz5zbG9a/Wbaf+o38o4soeivjYD+uT4rJeOm2/0rHy+yA3dym+TPt+mf2dXZLnt7RhDftMk659vP25+63N9G4c+fuvrHm3AZgh9LPwvuPPHFlpsqs+Y8pvueux/TkHor2QMevLj09jeF/n5QYVg4sdxvdxyfH2G1KeP84duzOtlN+M3fwaec47pAzCjNRUfqZfcL7QxuaS/2CteHee2d8+Ovj+8USSTmhCk9A0IxUF9j9dF//KC5E3XfXMrv5rMOf5+Ee49ozZ/nHy6o4j29LfhAEkSOPW/o5UIiDnjG4a8/qtk2mV/UXK/3ohcXeAfQp9+7eG+vY0/chlD/JTh2luTYrHWcaNnO//icXn5zXA8DH0SuO0NGVofbXqyh46/XFN+06FPe3Dh52ce41t/uuDXb3Z4Wg8zhtDHb/0Gfar41sdnvTS5/5F+QKDYtsI0tMy+YPqUnnRz29syhvzG6b9v+/lmDPr4rq9d2MAXQ+ujTUDnj73MN2MM8VOmez32HQ++9bdhfHp2Y2TvK/n8ILz46e7/mvKbjj18Yl/vWY5f9xl4rfc5LZLds7R8C8+uPrJ79tb2k7Tsm9xfNYrLb3Hbl+HeH7VOenzVrU/Tvqtj0x+v2T2e7eyRkLRTz0mt95nkPrAd90aW+qf3hFW0U/Tf3qdqvrz+03seq3wg66dhsuPRx689fLc39cdLjR8jezfmuHS+5X0adGgka6/pXznIbxns8Rjqo90+ZSz6+PfvMu3HK6PlL4b+eLH6eNe/jHM9My56/WHYu73P+ny5/SftUb+d4NqDq0+VrviBPrbty3TZu4lE57aOK3S1v9T8ZtN/kSb7tevXkN8Y7XMuVh9u/LDHY2cD3fgciz58/2vP63U850NDf7zU+EnsxVqPfceDmf5m+nAZiZ4m8altb248pyB+cnhzYvdvON9RrT8G5w853fmnDLd9Tmu95+j8p+cLeIUHamZb8mB0OWghdKPdM4Hlw9NL+zWNi9k+b5O2y8QqvMYjE0E67jbvYxuvl5EYz1JtS83xGi9QHHs0BFPijFKjgoZ5H80BoxdQCZnfyGR5sr0Yi7L/U1v5kNasbXE8LQuRVv+Zv5b7F68lujYH8qj08WoP3+0N5iu43Pixsfd5PKeHHFf2OS1geTvVlrU9wfKvFOS3M5zxcPUx0lMwHn38+3fxPf2aQd9fLju/8fSR+O7/1Cbp172ekutYfzTsza7fuH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

FishC 发表于 2024-1-20 10:19:25

要实现按行进行筛选数据并进行高亮处理,可以使用pandas库来处理数据,并使用openpyxl库将结果导出到excel文件中。下面是一个示例代码:

import pandas as pd
import openpyxl.styles as sty

# 读取Excel文件
df = pd.read_excel('data.xlsx')

# 计算每行的平均值和标准差
mean = df.mean(axis=1)
std = df.std(axis=1)

# 创建一个样式对象,用于设置高亮的背景色为黄色
highlight = sty.PatternFill(fill_type="solid", fgColor="FFFF00")

# 遍历每一行,判断是否需要进行高亮处理
for i, row in df.iterrows():
    for j, val in enumerate(row):
      if val > mean + 3 * std:
            # 使用样式对象将满足条件的单元格高亮显示
            df.iloc = sty.Style(fill=highlight)

# 将结果导出到Excel文件
df.to_excel('output.xlsx', engine='openpyxl')

这个示例代码假设你的数据保存在名为"data.xlsx"的Excel文件中。你需要将路径更改为实际的文件路径。代码会根据每行的平均值和标准差判断是否需要对单元格进行高亮显示,满足条件的单元格会被设置为黄色背景色。然后,结果会被导出到名为"output.xlsx"的Excel文件中。请确保你已经安装了pandas和openpyxl库。

以上回复来自 FishC AI 小助理,如未能正确解答您的问题,请继续追问。

serendipity-11 发表于 2024-1-20 10:34:05

FishC 发表于 2024-1-20 10:19
要实现按行进行筛选数据并进行高亮处理,可以使用pandas库来处理数据,并使用openpyxl库将结果导出到excel ...

Traceback (most recent call last):
File "E:\学习\python\2023\04.♥士兰工作_处理数据\13.PIP数据\pip数据处理.py", line 68, in <module>
    df.iloc = sty.Style(fill=highlight)
AttributeError: module 'openpyxl.styles' has no attribute 'Style'

阿奇_o 发表于 2024-1-22 17:21:59

serendipity-11 发表于 2024-1-20 10:34
Traceback (most recent call last):
File "E:\学习\python\2023\04.♥士兰工作_处理数据\13.PIP ...

版本和API等问题。   需要的话,可以加我wx
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