1、读取Excel中sheet中数据
import pandas as pd
xl = pd.ExcelFile('foo.xls')
xl.sheet_names # 查看所有工作表名称
xl.parse(sheet_name) # 读取指定的sheet到 DataFrame
或者
xl = pd.ExcelFile(path)
for name in xl.sheet_names:
df = pd.read_excel(xl, name)
2、保存DataFrame到Excel文件中多个sheet
from pandas import ExcelWriter
def save_xls(list_dfs, xls_path):
with ExcelWriter(xls_path) as writer:
for n, df in enumerate(list_dfs):
df.to_excel(writer,'sheet%s' % n)
writer.save()
或者
import pandas as pd
# dictionary of data
dct1 = {'ID': {0: 23, 1: 43, 2: 12,
3: 13, 4: 67, 5: 89,
6: 90, 7: 56, 8: 34},
'Name': {0: 'Ram', 1: 'Deep',
2: 'Yash', 3: 'Aman',
4: 'Arjun', 5: 'Aditya',
6: 'Divya', 7: 'Chalsea',
8: 'Akash' },
'Marks': {0: 89, 1: 97, 2: 45, 3: 78,
4: 56, 5: 76, 6: 100, 7: 87,
8: 81},
'Grade': {0: 'B', 1: 'A', 2: 'F', 3: 'C',
4: 'E', 5: 'C', 6: 'A', 7: 'B',
8: 'B'}
}
dct2 = {'ID': {0: 23, 1: 43, 2: 12,
3: 13, 4: 67, 5: 89,
6: 90, 7: 56, 8: 34},
'Name': {0: 'C', 1: 'Java',
2: 'Python', 3: 'Cjavapy',
4: 'Js', 5: 'linux',
6: 'Docker', 7: 'C#',
8: 'C++' },
'Marks': {0: 89, 1: 97, 2: 45, 3: 78,
4: 56, 5: 76, 6: 100, 7: 87,
8: 81},
'Grade': {0: 'B', 1: 'A', 2: 'F', 3: 'C',
4: 'E', 5: 'C', 6: 'A', 7: 'B',
8: 'B'}
}
df1 = pd.DataFrame(dct1)
df2 = pd.DataFrame(dct2)
with pd.ExcelWriter(r'D:\cjavapy\test2.xls') as writer:
df1.to_excel(writer, sheet_name='df1')
df2.to_excel(writer, sheet_name='df2')