Python Pandas.DataFrame对Excel操作

对原文的精简 感谢原文博主

https://blog.csdn.net/fengqiaoxian/article/details/80415354

• 读入： 输出是dataframe

• import pandas as pd
  excelFile = r’TEMP.xlsx’
  df = pd.DataFrame(pd.read_excel(excelFile))
  print(df)

• 读取指定sheet
  def read_excel(io, sheet_name=0, header=0, skiprows=None, skip_footer=0,
  index_col=None, names=None, usecols=None, parse_dates=False,
  date_parser=None, na_values=None, thousands=None,
  convert_float=True, converters=None, dtype=None,
  true_values=None, false_values=None, engine=None,
  squeeze=False, **kwds):

• 选择特定列：考虑输出是dataframe 用其列columns特性
  df1= df[[‘Project Name’, ‘Status’, ‘Offer’, ‘Tax Rate’, ‘PM’]]

• 定位满足特定要求数据 同MATLAB下find的感觉
  df2 = df1.loc[df1[‘PM’] == ‘Bob’]

• 同时满足多个要求
  -df2 = df1.loc[df1[‘PM’] == ‘Bob’].loc[df1[‘Status’] == ‘Completed’]
  -获取特定列的值
  pmList = df1[[‘PM’]].values.T.tolist()[:][0] 和前面选特定列有啥不一样？

• 写入Excel表格
  先转为dataframe 格式 再存 filePath是存放路径
  summaryDataFrame = pd.DataFrame(sum_list)
  summaryDataFrame.to_excel(filePath, encoding=’utf-8’, index=False, header=False)