Question

我遇到了从 Jupyt 运行的 pyspark 的 .toPandas() 方法的奇怪行为。例如，如果我尝试这个：

data = [{"Category": 'Category A', "ID": 1, "Value": 12.40},
        {"Category": 'Category B', "ID": 2, "Value": 30.10},
        {"Category": 'Category C', "ID": 3, "Value": 100.01}
        ]

# Create data frame (where spark is a SparkSession)
df = spark.createDataFrame(data)
df.show()

我能够成功创建 pyspark 数据框。但是，当转换为熊猫时，我得到 IndexError: index is out of bounds:

IndexError                                Traceback (most recent call last)
<path_to_python>/lib/python3.7/site-packages/IPython/core/formatters.py in __call__(self, obj)
    700                 type_pprinters=self.type_printers,
    701                 deferred_pprinters=self.deferred_printers)
--> 702             printer.pretty(obj)
    703             printer.flush()
    704             return stream.getvalue()

<path_to_python>/lib/python3.7/site-packages/IPython/lib/pretty.py in pretty(self, obj)
    400                         if cls is not object \
    401                                 and callable(cls.__dict__.get('__repr__')):
--> 402                             return _repr_pprint(obj, self, cycle)
    403 
    404             return _default_pprint(obj, self, cycle)

<path_to_python>/lib/python3.7/site-packages/IPython/lib/pretty.py in _repr_pprint(obj, p, cycle)
    695     """A pprint that just redirects to the normal repr function."""
    696     # Find newlines and replace them with p.break_()
--> 697     output = repr(obj)
    698     for idx,output_line in enumerate(output.splitlines()):
    699         if idx:

<path_to_python>/lib/python3.7/site-packages/pandas/core/base.py in __repr__(self)
     76         Yields Bytestring in Py2, Unicode String in py3.
     77         """
---> 78         return str(self)
     79 
     80 

<path_to_python>/lib/python3.7/site-packages/pandas/core/base.py in __str__(self)
     55 
     56         if compat.PY3:
---> 57             return self.__unicode__()
     58         return self.__bytes__()
     59 

<path_to_python>/lib/python3.7/site-packages/pandas/core/frame.py in __unicode__(self)
    632             width = None
    633         self.to_string(buf=buf, max_rows=max_rows, max_cols=max_cols,
--> 634                        line_width=width, show_dimensions=show_dimensions)
    635 
    636         return buf.getvalue()

<path_to_python>/lib/python3.7/site-packages/pandas/core/frame.py in to_string(self, buf, columns, col_space, header, index, na_rep, formatters, float_format, sparsify, index_names, justify, max_rows, max_cols, show_dimensions, decimal, line_width)
    719                                            decimal=decimal,
    720                                            line_width=line_width)
--> 721         formatter.to_string()
    722 
    723         if buf is None:

<path_to_python>/lib/python3.7/site-packages/pandas/io/formats/format.py in to_string(self)
    596         else:
    597 
--> 598             strcols = self._to_str_columns()
    599             if self.line_width is None:  # no need to wrap around just print
    600                 # the whole frame

<path_to_python>/lib/python3.7/site-packages/pandas/io/formats/format.py in _to_str_columns(self)
    527                 str_columns = [[label] for label in self.header]
    528             else:
--> 529                 str_columns = self._get_formatted_column_labels(frame)
    530 
    531             stringified = []

<path_to_python>/lib/python3.7/site-packages/pandas/io/formats/format.py in _get_formatted_column_labels(self, frame)
    770                             need_leadsp[x] else x]
    771                            for i, (col, x) in enumerate(zip(columns,
--> 772                                                             fmt_columns))]
    773 
    774         if self.show_row_idx_names:

<path_to_python>/lib/python3.7/site-packages/pandas/io/formats/format.py in <listcomp>(.0)
    769             str_columns = [[' ' + x if not self._get_formatter(i) and
    770                             need_leadsp[x] else x]
--> 771                            for i, (col, x) in enumerate(zip(columns,
    772                                                             fmt_columns))]
    773 

<path_to_python>/lib/python3.7/site-packages/pandas/io/formats/format.py in _get_formatter(self, i)
    362         else:
    363             if is_integer(i) and i not in self.columns:
--> 364                 i = self.columns[i]
    365             return self.formatters.get(i, None)
    366 

<path_to_python>/lib/python3.7/site-packages/pandas/core/indexes/base.py in __getitem__(self, key)
   3956         if is_scalar(key):
   3957             key = com.cast_scalar_indexer(key)
-> 3958             return getitem(key)
   3959 
   3960         if isinstance(key, slice):

IndexError: index 3 is out of bounds for axis 0 with size 3

我不确定问题出在哪里，我用过很多次都没有问题，但这次我尝试了一个新环境，却遇到了这个问题。如果它可以帮助我的配置是：

<块引用>

Python：3.7.6；熊猫：0.24.2； PySpark：2.4.5

有什么想法吗？谢谢:)

Answer 1

我发现了这个问题。试图最小化代码以重现错误我省略了我添加了熊猫设置：

<块引用>

pd.set_option('display.max_columns', -1)

这导致了与正在转换的数据帧无关的错误。为了解决这个问题，我只是指定了正数的列数或无。

pyspark toPandas() IndexError：索引越界

1 个答案: