如何在Python中結合字典格式的Excel文件和字典

Question

如果我有一個沒有行/列標簽的excel文件，看起來像這樣：

我有一本像這樣的字典：

dict = {a:1, b:2, c:3}

我如何將它們組合成一個字典，其中包含值，並且看起來像這樣：

dict_result = {a:2, b:3, c:4}

Answer 1

解決方案1

如果您的excel文件為.xlsx格式，則可以使用openpyxl ：

import openpyxl

letter_map = {'a':1, 'b':2, 'c':3}

# open workbook
workbook = openpyxl.load_workbook('book1.xlsx')

# get worksheet by index
worksheet = workbook.worksheets[0]

result = {}

# loop over column pairs
for k, v in zip(worksheet['A'], worksheet['B']):

    # assign new values to keys
    result[k.internal_value] = v.internal_value + letter_map[k.internal_value]

print(result)

產量

{'a': 2, 'b': 3, 'c': 4}

解決方案2

如果您具有.xls格式的excel文件，則可以使用xlrd ：

import xlrd

letter_map = {'a':1, 'b':2, 'c':3}

# open work book
workbook = xlrd.open_workbook('book1.xls', on_demand=True)

# get sheet by index
worksheet = workbook.sheet_by_index(0)

result = {}

# loop over row indices
for row in range(worksheet.nrows):

    # assign new values to keys
    k, v = worksheet.cell(row, 0).value, worksheet.cell(row, 1).value
    result[k] = int(v) + letter_map[k]

print(result)

產量

{'a': 2, 'b': 3, 'c': 4}

Answer 2

此解決方案適用於具有A and B列A and B csv文件

import pandas as pd

actual_dict = {'a': 1, 'b': 1, 'c': 1}

cs = pd.read_csv(r'.\dict.csv')
keys = cs.A.tolist()
vals = cs.B.tolist()
csv_dict = {k:v for k,v in zip(keys,vals)}

for k in actual_dict.keys():
    actual_dict[k] += csv_dict[k] #updating the actual dict