一 讀取excel內(nèi)容、并放入字典

1 讀取excel文件

import pandas as pd

file_path = '/cluster/home3/zjc/Code/COD/BGNet_My/Dy_BGNet_master/openpyxl-light.xlsx' 讀取excel 

raw_data = pd.read_excel(file_path, header=0)  # header=0表示第一行是表頭，就自動(dòng)去除了
print(raw_data)  # 讀取到的結(jié)果如下
'''
讀取excel
(Pdb) raw_data
       num                                            name       wfm
0        0            COD10K-CAM-1-Aquatic-1-BatFish-2.png  0.899108
1        1            COD10K-CAM-1-Aquatic-1-BatFish-4.png  0.885333
2        2            COD10K-CAM-1-Aquatic-1-BatFish-5.png  0.899334
3        3            COD10K-CAM-1-Aquatic-1-BatFish-6.png  0.503472
4        4  COD10K-CAM-1-Aquatic-10-LeafySeaDragon-416.png  0.422056
...    ...                                             ...       ...
2021  2021            COD10K-CAM-5-Other-69-Other-5051.png  0.973371
2022  2022            COD10K-CAM-5-Other-69-Other-5059.png  0.745310
2023  2023            COD10K-CAM-5-Other-69-Other-5060.png  0.000198
2024  2024            COD10K-CAM-5-Other-69-Other-5062.png  0.835672
2025  2025            COD10K-CAM-5-Other-69-Other-5063.png  0.982474
'''

2 讀取value,舍棄行號(hào)

data = raw_data.values # 獲取其中內(nèi)容（num、name、wfm）（舍棄行號(hào)）
print(data)
'''
僅展示value,舍棄行號(hào)
array([[0, 'COD10K-CAM-1-Aquatic-1-BatFish-2.png', 0.8991082232693329],
       [1, 'COD10K-CAM-1-Aquatic-1-BatFish-4.png', 0.8853328644290668],
       [2, 'COD10K-CAM-1-Aquatic-1-BatFish-5.png', 0.8993339821090026],
       ...,
       [2023, 'COD10K-CAM-5-Other-69-Other-5060.png',
        0.0001984435470317607],
       [2024, 'COD10K-CAM-5-Other-69-Other-5062.png', 0.8356721476832216],
       [2025, 'COD10K-CAM-5-Other-69-Other-5063.png', 0.9824740778028651]],
      dtype=object)
       
'''

3 讀取為字典

dict = {}
for i in range(len(data)):
    dict[data[i][1]] = data[i][2]

print(dict)
'''
將下面數(shù)據(jù)放入字典
data[0][1]  -> 'COD10K-CAM-1-Aquatic-1-BatFish-2.png'
data[0][2]  ->  0.8991082232693329

字典為
dict['COD10K-CAM-1-Aquatic-1-BatFish-2.png']
-> 0.8991082232693329
'''

一 讀取excel內(nèi)容、并放入字典（完整代碼）

import pandas as pd

file_path = '/cluster/home3/zjc/Code/COD/BGNet_My/Dy_BGNet_master/openpyxl-light.xlsx'
# r對(duì)路徑進(jìn)行轉(zhuǎn)義，windows需要
raw_data = pd.read_excel(file_path, header=0)  # header=0表示第一行是表頭，就自動(dòng)去除了
print(raw_data)
'''
讀取excel
(Pdb) raw_data
       num                                            name       wfm
0        0            COD10K-CAM-1-Aquatic-1-BatFish-2.png  0.899108
1        1            COD10K-CAM-1-Aquatic-1-BatFish-4.png  0.885333
2        2            COD10K-CAM-1-Aquatic-1-BatFish-5.png  0.899334
3        3            COD10K-CAM-1-Aquatic-1-BatFish-6.png  0.503472
4        4  COD10K-CAM-1-Aquatic-10-LeafySeaDragon-416.png  0.422056
...    ...                                             ...       ...
2021  2021            COD10K-CAM-5-Other-69-Other-5051.png  0.973371
2022  2022            COD10K-CAM-5-Other-69-Other-5059.png  0.745310
2023  2023            COD10K-CAM-5-Other-69-Other-5060.png  0.000198
2024  2024            COD10K-CAM-5-Other-69-Other-5062.png  0.835672
2025  2025            COD10K-CAM-5-Other-69-Other-5063.png  0.982474
'''

data = raw_data.values
print(data)
'''
僅展示value,舍棄行號(hào)
array([[0, 'COD10K-CAM-1-Aquatic-1-BatFish-2.png', 0.8991082232693329],
       [1, 'COD10K-CAM-1-Aquatic-1-BatFish-4.png', 0.8853328644290668],
       [2, 'COD10K-CAM-1-Aquatic-1-BatFish-5.png', 0.8993339821090026],
       ...,
       [2023, 'COD10K-CAM-5-Other-69-Other-5060.png',
        0.0001984435470317607],
       [2024, 'COD10K-CAM-5-Other-69-Other-5062.png', 0.8356721476832216],
       [2025, 'COD10K-CAM-5-Other-69-Other-5063.png', 0.9824740778028651]],
      dtype=object)
      
'''


dict = {}
for i in range(len(data)):
    dict[data[i][1]] = data[i][2]

print(dict)
'''
將下面數(shù)據(jù)放入字典
data[0][1]  -> 'COD10K-CAM-1-Aquatic-1-BatFish-2.png'
data[0][2]  ->  0.8991082232693329

字典為
dict['COD10K-CAM-1-Aquatic-1-BatFish-2.png']
-> 0.8991082232693329
'''
import pdb
pdb.set_trace()

二、將字典內(nèi)容寫(xiě)入 excel文件

1

假設(shè)已有字典內(nèi)容為：
即student列表里有4個(gè)字典，
第一個(gè)字典里面有3對(duì)key-value
"num": 1,
"name": "cod1",
"wfm": 0.1

student = [
    {"num": 1, "name": "cod1", "wfm": 0.1},
    {"num": 2, "name": "cod2", "wfm": 0.2},
    {"num": 3, "name": "cod3", "wfm": 0.3},
    {"num": 4, "name": "cod4", "wfm": 0.4},
]

2 導(dǎo)入Workbook并實(shí)力化

from openpyxl import Workbook
workbook = Workbook()

3 激活sheet-設(shè)置sheet名-插入標(biāo)題-

# 默認(rèn)sheet
sheet = workbook.active  # 激活sheet  
sheet.title = "openpyxl"  # 設(shè)置sheet名字
sheet.append(["num", "name", "wfm"])  # 插入標(biāo)題
for data in student:  # 列表循環(huán)讀取dict
    sheet.append(list(data.values()))  
workbook.save("openpyxl.xlsx")

二、將字典內(nèi)容寫(xiě)入 excel文件（完整代碼）文章來(lái)源地址http://www.zghlxwxcb.cn/news/detail-760369.html

student = [
    {"num": 1, "name": "cod1", "wfm": 0.1},
    {"num": 2, "name": "cod2", "wfm": 0.2},
    {"num": 3, "name": "cod3", "wfm": 0.3},
    {"num": 4, "name": "cod4", "wfm": 0.4},
]
import pdb
pdb.set_trace()


from openpyxl import Workbook
workbook = Workbook()

# 默認(rèn)sheet
sheet = workbook.active  # 激活sheet
sheet.title = "openpyxl"  # 設(shè)置sheet名字
sheet.append(["num", "name", "wfm"])  # 插入標(biāo)題
for data in student:  # 列表循環(huán)讀取dict
    sheet.append(list(data.values()))
workbook.save("openpyxl.xlsx")

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