Python pandas:输出数据帧到带有整数的csv [英] Python pandas: output dataframe to csv with integers
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问题描述
我有一个 pandas.DataFrame
,我希望导出到CSV文件。然而,pandas似乎写一些值为 float
而不是 int
类型。
I have a pandas.DataFrame
that I wish to export to a CSV file. However, pandas seems to write some of the values as float
instead of int
types. I couldn't not find how to change this behavior.
建立资料框架:
df = pandas.DataFrame(columns=['a','b','c','d'], index=['x','y','z'], dtype=int)
x = pandas.Series([10,10,10], index=['a','b','d'], dtype=int)
y = pandas.Series([1,5,2,3], index=['a','b','c','d'], dtype=int)
z = pandas.Series([1,2,3,4], index=['a','b','c','d'], dtype=int)
df.loc['x']=x; df.loc['y']=y; df.loc['z']=z
查看:
>>> df
a b c d
x 10 10 NaN 10
y 1 5 2 3
z 1 2 3 4
导出:
>>> df.to_csv('test.csv', sep='\t', na_rep='0', dtype=int)
>>> for l in open('test.csv'): print l.strip('\n')
a b c d
x 10.0 10.0 0 10.0
y 1 5 2 3
z 1 2 3 4
为什么十位有点零?
当然,我可以把这个函数放入我的管道重新转换整个CSV文件,但似乎不必要:
Sure, I could just stick this function into my pipeline to reconvert the whole CSV file, but it seems unnecessary:
def lines_as_integer(path):
handle = open(path)
yield handle.next()
for line in handle:
line = line.split()
label = line[0]
values = map(float, line[1:])
values = map(int, values)
yield label + '\t' + '\t'.join(map(str,values)) + '\n'
handle = open(path_table_int, 'w')
handle.writelines(lines_as_integer(path_table_float))
handle.close()
推荐答案
是@Jeff在他的回答中提出的轻微变化。信用到他。这是什么解决了我的问题,最后参考:
The answer I was looking for was a slight variation of what @Jeff proposed in his answer. The credit goes to him. This is what solved my problem in the end for reference:
import pandas
df = pandas.DataFrame(data, columns=['a','b','c','d'], index=['x','y','z'])
df = df.fillna(0)
df = df.astype(int)
df.to_csv('test.csv', sep='\t')
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