Python 通过设置固定长度将列表转换为字典
我有一个列表数据=['CDs',1',J12345','Rainbow',None',Styles',2',J12345','Rainbow',None',Folk',3',J12345',Rainbow',None],我想将其转换为具有固定列数的熊猫数据帧 预期结果如下:Python 通过设置固定长度将列表转换为字典,python,pandas,list,dictionary,dataframe,Python,Pandas,List,Dictionary,Dataframe,我有一个列表数据=['CDs',1',J12345','Rainbow',None',Styles',2',J12345','Rainbow',None',Folk',3',J12345',Rainbow',None],我想将其转换为具有固定列数的熊猫数据帧 预期结果如下: category | num | series | title | brand | 'CDs' 1 J12345 Rainbow None 'Styles' 2 J1234
category | num | series | title | brand |
'CDs' 1 J12345 Rainbow None
'Styles' 2 J12345 Rainbow None
'Folk' 3 J12345 Rainbow None
你可以做:
import pandas as pd
data = ['CDs', 1, 'J12345','Rainbow', None,
'Styles', 2, 'J12345', 'Rainbow', None,
'Folk', 3, 'J12345', 'Rainbow', None]
df = pd.DataFrame([data[i:i+5] for i in range(0, len(data), 5)], columns=['category', 'num', 'series', 'title', 'brand'])
print(df)
输出
声明:
[data[i:i+5] for i in range(0, len(data), 5)]
创建以下列表列表:
[['CDs', 1, 'J12345', 'Rainbow', None], ['Styles', 2, 'J12345', 'Rainbow', None], ['Folk', 3, 'J12345', 'Rainbow', None]]
以上内容可直接传递给熊猫。设置
整形
与@user3483203的想法几乎相同
a = np.array(data)
nrows = 3
ncols = a.shape[0]//nrows
df = pd.DataFrame(a.reshape(nrows, ncols), columns=['category', 'num', 'series', 'title', 'brand'] )
category num series title brand
0 CDs 1 J12345 Rainbow None
1 Styles 2 J12345 Rainbow None
2 Folk 3 J12345 Rainbow None
num_cols = 5
cols = ['category', 'num', 'series', 'title', 'brand']
d = np.reshape(data, (-1, num_cols))
pd.DataFrame(d, columns=cols)
category num series title brand
0 CDs 1 J12345 Rainbow None
1 Styles 2 J12345 Rainbow None
2 Folk 3 J12345 Rainbow None
a = np.array(data)
nrows = 3
ncols = a.shape[0]//nrows
df = pd.DataFrame(a.reshape(nrows, ncols), columns=['category', 'num', 'series', 'title', 'brand'] )
category num series title brand
0 CDs 1 J12345 Rainbow None
1 Styles 2 J12345 Rainbow None
2 Folk 3 J12345 Rainbow None