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文章目录
12.1 导出为.xlsx文件
另存为
导出
12.1.1 设置文件导出路径
12.1.2 设置Sheet名称
df.to_excel(excel_writer = r"C:\Users\leadi\Python\01.python\input\train-pivot3.xlsx",sheet_name = "test1")
输出
12.1.3 设置索引
df.to_excel(excel_writer = r"C:\Users\leadi\Python\01.python\input\train-pivot3.xlsx",sheet_name = "test1",index = False)
12.1.4 设置要导出的列
df.to_excel(excel_writer = r"C:\Users\leadi\Python\01.python\input\train-pivot3.xlsx",sheet_name = "test1",index = False,columns = ["用户ID","区域"])
12.1.5 设置编码格式
df.to_excel(excel_writer = r"C:\Users\leadi\Python\01.python\input\train-pivot3.xlsx",sheet_name = "test1",index = False,columns = ["用户ID","区域"],encoding = "utf-8")
12.1.6 缺失值处理
缺失值填充为0
df.to_excel(excel_writer = r"C:\Users\leadi\Python\01.python\input\train-pivot3.xlsx",sheet_name = "test1",index = False,columns = ["用户ID","区域"],encoding = "utf-8",na_rep = 0)
12.1.7 无穷值处理
# 生成正无穷
float("inf")
# 生成负无穷
float("-inf")
df.to_excel(excel_writer = r"C:\Users\leadi\Python\01.python\input\train-pivot3.xlsx",sheet_name = "test1",index = False,columns = ["用户ID","区域"],encoding = "utf-8",na_rep = 0,inf_rep = 0)
12.2 导出为.cvs文件
12.2.1 设置文件路径
12.2.2 设置索引
12.2.3 设置导出的列
12.2.4 设置分隔符号
12.2.5 缺失值处理
12.2.6 设置编码格式
df.to_csv(path_or_buf = r"C:\Users\leadi\Python\01.python\input\train-pivot3.xlsx",sheet_name = "test1",index = False,columns = ["用户ID","区域"],sep =",",encoding = "utf-8",na_rep = 0)
utf-8格式乱码
encoding = "utf-8-sig"中文显示正确
df.to_csv(path_or_buf = r"C:\Users\leadi\Python\01.python\input\train-pivot5.csv",index = False,columns = ["用户ID","区域"],sep =",",encoding = "utf-8-sig",na_rep = 0)
12.3 将文件导出到多个Sheet
df1 = df
df2 = df
df3 = df
writer = pd.ExcelWriter(r"C:\Users\leadi\Python\01.python\input\train-pivot5.xlsx",engine = "xlsxwriter")
df1.to_excel(writer,sheet_name = "表1",index =False)
df2.to_excel(writer,sheet_name = "表2",index =False)
df3.to_excel(writer,sheet_name = "表3",index =False)
writer.save()
