系统：windows 7语言版本：anaconda3-4.3.0.1-windows-x86_64编辑器：pycharm-community-2016.3.2pandas：0.19.2
这个系列讲讲Python的科学计算及可视化今天讲讲pandas模块将Df输出到Excel文件中，以及读取Excel中数据Part 1：场景介绍
Part 2：代码
import pandas as pdimport osdict_1 = {"time": ["2019-11-02", "2019-11-03", "2019-11-04", "2019-11-05", "2019-12-02", "2019-12-03", "2019-12-04", "2019-12-05"], "pos": ["A", "A", "B", "B", "C", "C", "C", "D"], "value1": [10, 20, 30, 40, 50, 60, 70, 80]}df_1 = pd.DataFrame(dict_1, columns=["time", "pos", "value1"])print("原数据", "\n", df_1, "\n")# 输出到Excelcurrent_address = os.path.dirname(os.path.abspath(__file__))excel_name = "df.xlsx"excel_address = os.path.join(current_address, excel_name)df_1.to_excel(excel_address)excel_name_2 = "df_2.xlsx"excel_address_2 = os.path.join(current_address, excel_name_2)df_2 = df_1.head(3)df_2.to_excel(excel_address_2)# 读Excel数据df_3 = pd.read_excel(excel_address)print(df_3)excel_name_4 = "test.xlsx"excel_address_4 = os.path.join(current_address, excel_name_4)df_4 = pd.read_excel(excel_address_4, sheetname="ceshi", header=0)print(df_4)代码截图
excel_address
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excel_address_2
test.xlsx
代码运行命令窗口输出
Part 3：部分代码解读
df_1.to_excel(excel_address)，通过to_excel函数即可，若只是看一下数据结构，可以只输出Df的一部分，
df_2 = df_1.head(3)即表示df_1的前3行读入Excel：
df_3 = pd.read_excel(excel_address)，通过pd.read_excel，默认读取第1张表。当被读取Excel有多张表格时，可以指定拟读取工作表，
sheetname="ceshi"，
df_4 = pd.read_excel(excel_address_4, sheetname="ceshi", header=0)，即该函数有多个参数可以根据需要进行设置
read_excel参数
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