【发布时间】:2016-09-07 19:54:58
【问题描述】:
我的索引:
Index([u'Newal', u'Saraswati Khera', u'Tohana'], dtype='object')
我必须将此格式转换为以下格式的列表:
['Newal','SaraswatiKhera','Tohana']
【问题讨论】:
标签: python python-2.7 pandas
我的索引:
Index([u'Newal', u'Saraswati Khera', u'Tohana'], dtype='object')
我必须将此格式转换为以下格式的列表:
['Newal','SaraswatiKhera','Tohana']
【问题讨论】:
标签: python python-2.7 pandas
您可以使用tolist 或list:
print df.index.tolist()
print list(df.index)
但最快的解决方案是将np.arry 转换为values tolist(感谢EdChum)
print df.index.values.tolist()
示例:
import pandas as pd
idx = pd.Index([u'Newal', u'Saraswati Khera', u'Tohana'])
print idx
Index([u'Newal', u'Saraswati Khera', u'Tohana'], dtype='object')
print idx.tolist()
[u'Newal', u'Saraswati Khera', u'Tohana']
print list(idx)
[u'Newal', u'Saraswati Khera', u'Tohana']
如果需要编码UTF-8:
print [x.encode('UTF8') for x in idx.tolist()]
['Newal', 'Saraswati Khera', 'Tohana']
另一种解决方案:
print [str(x) for x in idx.tolist()]
['Newal', 'Saraswati Khera', 'Tohana']
但如果 unicode 字符串字符不在 ascii 范围内,它会失败。
时间安排:
import pandas as pd
import numpy as np
#random dataframe
np.random.seed(1)
df = pd.DataFrame(np.random.randint(10, size=(3,3)))
df.columns = list('ABC')
df.index = [u'Newal', u'Saraswati Khera', u'Tohana']
print df
print df.index
Index([u'Newal', u'Saraswati Khera', u'Tohana'], dtype='object')
print df.index.tolist()
[u'Newal', u'Saraswati Khera', u'Tohana']
print list(df.index)
[u'Newal', u'Saraswati Khera', u'Tohana']
print df.index.values.tolist()
[u'Newal', u'Saraswati Khera', u'Tohana']
In [90]: %timeit list(df.index)
The slowest run took 37.42 times longer than the fastest. This could mean that an intermediate result is being cached
100000 loops, best of 3: 2.18 µs per loop
In [91]: %timeit df.index.tolist()
The slowest run took 22.33 times longer than the fastest. This could mean that an intermediate result is being cached
1000000 loops, best of 3: 1.75 µs per loop
In [92]: %timeit df.index.values.tolist()
The slowest run took 62.72 times longer than the fastest. This could mean that an intermediate result is being cached
1000000 loops, best of 3: 787 ns per loop
【讨论】:
df.index.values.tolist() 这将比其他方法更快
df.index.tolist() 和df.index.values.tolist() 之间没有明显区别