If you've worked with Excel before, you know that you can highlight important values with different colors, font styles, etc. The idea of using these styles and colors is to communicate the information in an effective way. You can do similar work with pandas dataframes too, using condition...
excel_writer(str 或pandas.ExcelWriter)–文件路径或现有的ExcelWritersheet_name(str)– StyleFrame将导出到的图纸的名称allow_protection(bool)–允许保护指定为被保护的单元。如果protection=True 在Styler对象中使用,则必须将其设置为True。right_to_lef(bool)–使工作表从右到左。columns_to_hide(None 或str 或...
to_excel(excel_writer='output.xlsx', sheet_name='Sheet1', allow_protection=False, right_to_left=False, columns_to_hide=None, row_to_add_filters=None, columns_and_rows_to_freeze=None, best_fit=None) 注意 to_excel也接受所有pandas.DataFrame.to_excel接受为kwargs的参数。 参数: excel_write...
wb["sheet_name"].conditional_formatting.add("K44:K48", rule_pos) Run Code Online (Sandbox Code Playgroud) 成功返回: 这可以通过利用、 和参数Excelwriter来实现。conditional_format'min_color': 'red''max_color':'green' 我尝试了几种不同的方法,例如分别对绿色/红色数据条应用否定和肯定规则,或者...
Jinja2 Conditional formatting with DataFrame.style PyQt4 Clipboard I/O PyQt5 Clipboard I/O PyTables 3.4.2 HDF5-based 读写 SQLAlchemy 1.1.4 SQL support for databases other than sqlite SciPy 0.19.0 Miscellaneous statistical functions XLsxWriter 0.9.8 Excel读写 blosc Compression for msgpack fastparque...
Jinja2Conditional formatting with DataFrame.style PyQt4Clipboard I/O PyQt5Clipboard I/O PyTables3.4.2HDF5-based reading / writing SQLAlchemy1.1.4SQL support for databases other than sqlite SciPy0.19.0Miscellaneous statistical functions XLsxWriter0.9.8Excel writing ...
Jinja2 Conditional formatting with DataFrame.style PyQt4 Clipboard I/O PyQt5 Clipboard I/O PyTables 3.4.2 HDF5-based reading / writing SQLAlchemy 1.1.4 SQL support for databases other than sqlite SciPy 0.19.0 Miscellaneous statistical functions XLsxWriter 0.9.8 Excel writing blosc Compression for ...
writer = pd.ExcelWriter(filename, engine='openpyxl') Divide your dataframe df into two parts - coloured half and blank half. I am using light blue for this example. lightblue_primalindex=sorted(set([_[0] for _ in df.index]), key=[_[0] for _ in df.index].index)[::2] ...
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Some support is available for exporting styledDataFramesto Excel worksheets using theOpenPyXLorXlsxWriterengines. CSS2.2 properties handled include: background-color border-style,border-width,border-colorand their {top,right,bottom,leftvariants}