我正在尝试使用 xlsxwriter 和 pandas 数据以编程方式在 xlsx 文件中创建图表。 写入单元格非常成功，但是当我尝试为散点图定义数据系列时，我收到类型错误“缓冲区大小不匹配”，我相当确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()
完整错误信息:
---------------------------------------------------------------------------
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'^=?[^!]+!\$?[A-Z]+\$?[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
最佳答案
问题是 name 值 headers['Bias'][h] 不是字符串，在传递给函数时引发 TypeError。
由于数据类型是 numpy.float64 这会引发不寻常的 buffer size mismatch 错误，因此该错误比应有的更令人困惑。
函数参数分布在多行的事实也使问题看起来像是 values 参数而不是 name 参数。
关于python - 在xlsxwriter中定义系列时出现TypeError 'buffer size mismatch'错误，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/30386478/