Py Pandas .format(数据框) [英] Py Pandas .format(dataframe)

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问题描述

作为Python新手,我最近发现使用Py 2.7,我可以执行以下操作:

As Python newbie I recently discovered that with Py 2.7 I can do something like:

print '{:20,.2f}'.format(123456789)

这将给出结果输出:

123,456,789.00

现在我想看一下熊猫df的结果,所以我的代码如下:

I'm now looking to have a similar outcome for a pandas df so my code was like:

import pandas as pd
import random
data = [[random.random()*10000 for i in range(1,4)] for j in range (1,8)]
df = pd.DataFrame (data)
print '{:20,.2f}'.format(df)

在这种情况下我有错误:

In this case I have the error:

 Unknown format code 'f' for object of type 'str'

任何建议执行类似{:20,.2f}的格式(df)?

Any suggestions to perform something like '{:20,.2f}'.format(df) ?

现在我的想法是索引数据帧(它是一个小的),然后格式化其中的每个单独的浮点数,可能会分配astype(str ),并重建DF ...但看起来看起来很丑陋:-(我甚至不确定它会工作..

As now my idea is to index the dataframe (it's a small one), then format each individual float within it, might be assign astype(str), and rebuild the DF ... but looks so looks ugly :-( and I'm not even sure it'll work ..

你觉得怎么样?我被卡住了,并且希望在将这些格式转换成reportlabs网格时,为我的数据帧提供更好的格式。

What do you think ? I'm stuck ... and would like to have a better format for my dataframes when these are converted to reportlabs grids.

非常感谢你,Fabio。 p>

Thank you so much, Fabio.

推荐答案

import pandas as pd
import numpy as np
data = np.random.random((8,3))*10000
df = pd.DataFrame (data)
pd.options.display.float_format = '{:20,.2f}'.format
print(df)

yield(random output similar to)

yields (random output similar to)

                     0                    1                    2
0             4,839.01             6,170.02               301.63
1             4,411.23             8,374.36             7,336.41
2             4,193.40             2,741.63             7,834.42
3             3,888.27             3,441.57             9,288.64
4               220.13             6,646.20             3,274.39
5             3,885.71             9,942.91             2,265.95
6             3,448.75             3,900.28             6,053.93

pd.set_option pd.describe_option 解释:

display.float_format: [default: None] [currently: None] : callable
        The callable should accept a floating point number and return
        a string with the desired format of the number. This is used
        in some places like SeriesFormatter.
        See core.format.EngFormatter for an example.

这篇关于Py Pandas .format(数据框)的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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