首页import pandas as pd df=pd.read_excel('问题一数据处理')

import pandas as pd df=pd.read_excel('问题一数据处理')

时间: 2024-01-13 09:03:00 浏览: 165

import pandas as pd df = pd.read_excel('问题一数据处理', engine='openpyxl') \[1\] #### 引用[.reference_title] - *1* *3* [pd.read_excel出现xlrd.biffh.XLRDError: Excel xlsx file； not supported解决方案](https://blog.csdn.net/weixin_43178406/article/details/127263930)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item] - *2* [【Pandas总结】第二节 Pandas 的数据读取_pd.read_csv()的使用详解（非常全面，推荐收藏）](https://blog.csdn.net/weixin_47139649/article/details/126744842)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item] [ .reference_list ]

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import pandas as pd df=pd.read_excel('问题一数据处理')

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import pandas as pddf = pd.read_excel('path/to/file.xlsx')

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import matplotlib.pyplot as plt import numpy as np import pandas as pd df = pd.read_excel("taobao_data_matplolib.xlsx") data = df["成交量"].values labels = df["位置"].values plt.bar(labels, data) plt.show()

import pandas as pd# 读取两个 Excel 文件df1 = pd.read_excel("file1.xlsx")df2 = pd.read_excel("file2.xlsx")# 对比两个 DataFrame 的差异differences = df1 != df2different_cells = differences.sum()# 输出结果print(different_cells)解释下这个代码

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import pandas as pd # 读取 Excel 文件的所有工作表 excel_file = pd.ExcelFile(r'C:\Users\wy123\Desktop\Excel\s1.xlsx') dfs = [] for sheet_name in excel_file.sheet_names: df = pd.read_excel(excel_file, sheet_name=sheet_name) dfs.append(df) # 合并所有工作表 combine

import pandas as pd import os folder_path = 'C:\Users\cfmoto\Desktop\data_engine' excel_file = [os.path.join(folder_path,f) for f in os.listdir(folder_path) if f.endswith('.xlsx')] for file in excel_files: df = pd.read_excel(file)无法运行

# 引入pandas import ______ as ___ # 读取‘固定资产信息.xls’表 df = pd.read_excel(r"______",sheet_name=0) # 输出内容显示前五行 print(df.___) #检测重复值 print(df.___) #删除重复值 print(df.___)

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# 引入pandas import ____ as _ # 读取‘固定资产信息.xls’表 df = pd.read_excel(r"______",sheet_name=0) # 输出内容显示前五行 print(df._) #检测重复值 print(df._) #删除重复值 print(df.___)