TypeError 'buffer size mismatch' error when defining a series in xlsxwriter

问题

I am trying to programmatically create a chart in an xlsx file using xlsxwriter and pandas data. Writing cells is succeeding fine, however when I try to define a Data Series for a Scatter chart I get a TypeError 'buffer size mismatch' and I'm fairly certain my defined range is acceptable.

Example code:

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()

Full Error Message:

---------------------------------------------------------------------------
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

回答1:

The problem is that the name value headers['Bias'][h]isn't a string and raises a TypeError when passed to the function.

The error is a little more confusing than it should be due to the fact that the data type is a numpy.float64 which raises an unusual buffer size mismatch error.

The fact that the function parameters are spread over several lines also makes it look like the issue is with the values parameter rather than the name parameter.

来源：https://stackoverflow.com/questions/30386478/typeerror-buffer-size-mismatch-error-when-defining-a-series-in-xlsxwriter

标签

python

excel

xlsxwriter