def multiple_dfs(file_name, sheet, *args):
"""
Put multiple dataframes into one xlsx sheet
"""
row=2
writer = pd.ExcelWriter(file_name, engine='openpyxl')
df = pd.DataFrame({'user': ['Bob', 'Jane', 'Alice'],
'income': [40000, 50000, 42000]})
df2 = pd.DataFrame({'amount': [100, 500, 1000],
'income': [40000, 50000, 42000]})
df3 = pd.DataFrame(['Title'])
df.to_excel(writer, sheet, startrow=row, index=False)
row += 2
df2.to_excel(writer, sheet, startrow=row, index=False)
df3.to_excel(writer, sheet, startrow=0, startcol=0, header=None, \
index=False)
我有以下错误
ValueError: DataFrame constructor not properly called!
,但我不能说是什么问题。有什么建议么?我想在工作表的顶部放置一个标题,但我不知道这是否是最佳做法。谁能给我推荐一些关于 Pandas 的东西?
最佳答案
看来你需要 list
:
df2 = pd.DataFrame(['Test'])
print (df2)
0
0 Test
编辑:
看来你需要:
def multiple_dfs(file_name, sheet, *args):
"""
Put multiple dataframes into one xlsx sheet
"""
row=2
writer = pd.ExcelWriter(file_name)
df = pd.DataFrame({'user': ['Bob', 'Jane', 'Alice'],
'income': [40000, 50000, 42000]})
df2 = pd.DataFrame({'amount': [100, 500, 1000],
'income': [40000, 50000, 42000]})
df3 = pd.DataFrame(['Title'])
df.to_excel(writer, sheet, startrow=row, index=False)
row += len(df) + 1
df2.to_excel(writer, sheet, startrow=row, index=False)
df3.to_excel(writer, sheet, startrow=0, startcol=0, header=None, \
index=False)
multiple_dfs('file.xlsx','Sheet1')
关于python - Pandas 的 ValueError : DataFrame constructor not properly called!,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/46771235/