[英]How to export a Dataframe to Excel with divider lines using XlsxWriter
I would like to export my df to excel using xlswriter but with format depending on the value of specific cells ie i have a df that look like that:我想使用 xlswriter 将我的 df 导出到 excel 但格式取决于特定单元格的值,即我有一个看起来像这样的 df:
Date Data1 data2
01/01/1979 50.0. 10.0
01/01/1979 50.0. 11.0
02/01/1979 50.0. 11.0
02/01/1979 50.0. 11.0
02/01/1979 50.0. 11.0
03/01/1979 50.0. 11.0
03/01/1979 50.0. 11.0
From a df like that I would like to have an excel file that look like that:从这样的 df 我想要一个看起来像这样的 excel 文件:
Date Data1 data2
01/01/1979 50.0. 10.0
01/01/1979 50.0. 11.0
————————————————————-
02/01/1979 50.0. 11.0
02/01/1979 50.0. 11.0
02/01/1979 50.0. 11.0
————————————————————-
03/01/1979 50.0. 11.0
03/01/1979 50.0. 11.0
————————————————————-
That adds a line to all rows when the date change.当日期更改时,这会在所有行中添加一行。
Below script adds line to each row when Date
is changed:当Date
更改时,下面的脚本会在每一行中添加一行:
Please change delimiter
variable to whatever delimiter you desire.请将delimiter
变量更改为您想要的任何分隔符。
delimiter = '-----'
def f(x):
return x.append(pd.DataFrame(delimiter, columns=df.columns, index=[('')]))
df_updated = df.groupby('Date', sort=False, group_keys=False).apply(f)
Output: Output:
Date Data1 data2
0 1979-01-01 50.0. 10
1 1979-01-01 50.0. 11
----- ----- -----
2 1979-01-02 50.0. 11
3 1979-01-02 50.0. 11
4 1979-01-02 50.0. 11
----- ----- -----
5 1979-01-03 50.0. 11
6 1979-01-03 50.0. 11
----- ----- -----
One way to do it would be to use a conditional format in Excel via XlsxWriter.一种方法是通过 XlsxWriter 在 Excel 中使用条件格式。 Something like this:像这样的东西:
import pandas as pd
# Create a Pandas dataframe from some data.
df = pd.DataFrame({'Date': ['01/01/1979', '01/01/1979', '02/01/1979',
'02/01/1979', '02/01/1979', '03/01/1979',
'03/01/1979'],
'Data1': [50.0] * 7,
'Data2': [11.0] * 7})
df = df[['Date', 'Data1', 'Data2']]
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_conditional.xlsx', engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1', index=False)
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Make column A wider for clarity.
worksheet.set_column(0, 0, 12)
# Get the dimensions of the dataframe.
(max_row, max_col) = df.shape
# Add a format to use in the conditional format.
format1 = workbook.add_format({'bottom': 1})
# Apply a conditional format to the required cell range.
worksheet.conditional_format(1, 0, max_row, max_col -1,
{'type': 'formula',
'criteria': '=$A2<>$A3',
'format': format1})
# Close the Pandas Excel writer and output the Excel file.
writer.save()
Output: Output:
Note, you may want to convert the data strings to actual DateTime objects.请注意,您可能希望将数据字符串转换为实际的 DateTime 对象。
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