在xlsxwriter中定义一个系列时，TypeError“缓冲区大小不匹配”错误
我正尝试以编程方式使用xlsxwriter和pandas数据在xlsx文件中创build图表。 写单元格是成功的，但是当我尝试定义一个散点图的数据系列时，我得到了一个types错误“缓冲区大小不匹配”，我相当肯定我定义的范围是可以接受的。
示例代码：
headers = DataFrame([[-0.398,2],[-0.201,2],[-0.001,20]],columns=['Bias','Sensitivity']) dfs = [DataFrame([[3998.28253,2.056],[3997.31816,1.978],[3996.35379,1.932],[3995.38942,1.746],[3994.42504,1.478]]), DataFrame([[3998.28253,2.056],[3997.31816,1.978],[3996.35379,1.932],[3995.38942,1.746],[3994.42504,1.478]]), DataFrame([[3998.28253,2.056],[3997.31816,1.978],[3996.35379,1.932],[3995.38942,1.746],[3994.42504,1.478]])] # Repeated DataFrames here for convenience outxls = os.path.join(os.path.dirname(toplevelname),p+'.xlsx') workbook = xlsxwriter.Workbook(outxls) worksheet = workbook.add_worksheet('Sheet1') worksheet.write(0, 0, 'Bias') worksheet.write(1, 0, 'Sensitivity') chart = workbook.add_chart({'type': 'scatter'}) for i, h in enumerate(headers.index): worksheet.write_number(0, 2*i+2, headers['Bias'][h], ) worksheet.write_number(1, 2*i+2, headers['Sensitivity'][h]) for r, row in dfs[h].iterrows(): for c, col in enumerate(row): worksheet.write_number(r+2, 2*i+c+1, row[c]) l = len(dfs[h]) chart.add_series({ 'name': headers['Bias'][h], 'categories': ['Sheet1', 3, 1, l, 1], 'values': ['Sheet1', 3, 2, l, 2], }) worksheet.insert_chart('B3', chart) workbook.close() 完整的错误消息：
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-5-56283fee8773> in <module>() 52 'name': headers['Bias'][h], 53 'categories': ['Sheet1', 3, 1, l, 1], ---> 54 'values': ['Sheet1', 3, 2, l, 2], 55 }) 56 worksheet.insert_chart('B3', chart) /Users/megablanc/Library/Python/2.7/lib/python/site-packages/xlsxwriter/chart.pyc in add_series(self, options) 134 # Switch name and name_formula parameters if required. 135 name, name_formula = self._process_names(options.get('name'), --> 136 options.get('name_formula')) 137 138 # Get an id for the data equivalent to the range formula. /Users/megablanc/Library/Python/2.7/lib/python/site-packages/xlsxwriter/chart.pyc in _process_names(self, name, name_formula) 788 name_formula = quote_sheetname(name[0]) + '!' + cell 789 name = '' --> 790 elif re.match(r'^=?[^!]+!\$?[AZ]+\$?[0-9]+', name): 791 # Name looks like a formula, use it to set name_formula. 792 name_formula = name /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/re.pyc in match(pattern, string, flags) 135 """Try to apply the pattern at the start of the string, returning 136 a match object, or None if no match was found.""" --> 137 return _compile(pattern, flags).match(string) 138 139 def search(pattern, string, flags=0): TypeError: buffer size mismatch
问题是name值的headers['Bias'][h]不是一个string，并传递给函数时引发TypeError。
由于数据types是一个numpy.float64这引起了一个不寻常的buffer size mismatch错误，这个错误比它应该更容易混淆。
函数参数分布在多行的事实也使得它看起来像是使用values参数而不是name参数。