PyPackage01---Pandas09_从字典创建dataframe

PyPackage01---Pandas09_从字典创建dataframe

Intro

很简单的需求，不多说，直接看代码

import pandas as

pd.__version__

'0.23.4'

Demo

dict1 = {"x1": 1, "x2": 2, "x3": 3}pd.DataFrame(dict1)

---------------------------------------------------------------------------ValueError Traceback (most recent call last) in () 1 dict1 = {"x1": 1, "x2": 2, "x3": 3}----> 2 pd.DataFrame(dict1)D:\code\anaconda\lib\site-packages\pandas\core\frame.py in __init__(self, data, index, columns, dtype, copy) 346 dtype=dtype, copy=copy) 347 elif isinstance(data, dict):--> 348 mgr = self._init_dict(data, index, columns, dtype=dtype) 349 elif isinstance(data, ma.MaskedArray): 350 import numpy.ma.mrecords as mrecordsD:\code\anaconda\lib\site-packages\pandas\core\frame.py in _init_dict(self, data, index, columns, dtype) 457 arrays = [data[k] for k in keys] 458 --> 459 return _arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype) 460 461 def _init_ndarray(self, values, index, columns, dtype=None, copy=False):D:\code\anaconda\lib\site-packages\pandas\core\frame.py in _arrays_to_mgr(arrays, arr_names, index, columns, dtype) 7354 # figure out the index, if necessary 7355 if index is None:-> 7356 index = extract_index(arrays) 7357 7358 # don't force copy because getting jammed in an ndarray anywayD:\code\anaconda\lib\site-packages\pandas\core\frame.py in extract_index(data) 7391 7392 if not indexes and not raw_lengths:-> 7393 raise ValueError('If using all scalar values, you must pass' 7394 ' an index') 7395 ValueError: If using all scalar values, you must pass an index

卡卡报了一堆错，这个错误可以通过修改dict解决，即value改成list

dict2 = {"x1": [1], "x2": [2], "x3": [3]}pd.DataFrame(dict2)

如果不修改原始数据咋整

dict1 = {"x1": 1, "x2": 2, "x3": 3}pd.DataFrame([dict1])

Ref

​​[1] 于南京市江宁区九龙湖

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