我尝试在 Python 中使用 DataFrame。命令是：
import pandas as pd
from numpy.random import uniform
df = pd.DataFrame(uniform(0,1,(3,4)),
index = 'A B C D'.split(),
columns='E F G H'.split())
但不幸的是我收到以下错误。有人知道如何解决这个问题吗？
-------------------------------------------------- ------------------------- ValueError Traceback（最近一次调用最后一次）~/anaconda3/lib/python3.7/site-packages/pandas/core /internals/managers.py in create_block_manager_from_blocks(blocks, axes) 1680 -> 1681 mgr = BlockManager(blocks, axes) 1682 mgr._consolidate_inplace()
~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in init (self, blocks, axes, do_integrity_check) 142 if do_integrity_check: --> 143 self._verify_integrity() 144
~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in _verify_integrity(self) 344 if block._verify_integrity 和 block.shape[1:] != mgr_shape[1:]: - -> 345 Construction_error(tot_items, block.shape[1:], self.axes) 346 if len(self.items) != tot_items:
〜/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in building_error(tot_items, block_shape, axes, e) 1718
raise ValueError( -> 1719 “传递值的形状是 {0} , 索引意味着 {1}".format(passed, hidden) 1720 )ValueError：传递值的形状是 (5, 4)，索引意味着 (4, 4)
在处理上述异常的过程中，又发生了一个异常：
ValueError Traceback（最近一次调用最后一次）在 1 df = pd.DataFrame(uniform(0,1,(5,4)), 2 index = 'ABC D'.split(), ----> 3 columns=' WXY Z'.split())
~/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py in init (self, data, index, columns, dtype, copy) 438 mgr = init_dict({data.name: data}, index , columns, dtype=dtype) 439 else: --> 440 mgr = init_ndarray(data, index, columns, dtype=dtype, copy=copy) 441 442 # 对于数据是类似列表的，或可迭代的（会消耗到列表中）
~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/construction.py in init_ndarray(values, index, columns, dtype, copy) 211 block_values = [values] 212 --> 213 return create_block_manager_from_blocks(块值，[列，索引]）214 215
~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in create_block_manager_from_blocks(blocks, axes) 1686
blocks = [getattr(b, "values", b) for b in blocks] 1687
tot_items = sum(b.shape[0] for b in blocks) -> 1688 Construction_error(tot_items, blocks[0].shape[1:], axes, e) 1689 1690~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in building_error(tot_items, block_shape, axes, e) 1717
raise ValueError("指定索引的空数据传递。") 1718 raise ValueError（-> 1719“传递值的形状是{0}，索引意味着{1}”。格式（通过，隐含）1720）1721ValueError：传递值的形状是 (5, 4)，索引意味着 (4, 4)
您正在创建一个 3x4 矩阵，但提供 4 个行索引。仅提供 3 行到您的index.
import pandas as pd
from numpy.random import uniform
df = pd.DataFrame(uniform(0,1,(3,4)),
index = 'A B C'.split(),
columns='E F G H'.split())
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