Python “DataFrame”对象没有属性“reshape”
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"DataFrame" object has no attribute 'reshape'
提问by Ling
I want to reshape some data in a CSV file without header but I keep getting this error
我想在没有标题的 CSV 文件中重塑一些数据，但我不断收到此错误
AttributeError: 'DataFrame' object has no attribute 'reshape'
This is my script, I want to reshape the data in 2nd column only
这是我的脚本，我只想重塑第二列中的数据
import pandas as pd
df = pd.read_csv("test.csv", header=None, usecols=[1])
start = 0
for i in range(0, len(df.index)):
if (i + 1)%10 == 0:
result = df.iloc[start:i+1].reshape(2,5)
start = i + 1
print result
Here is the CSV
这是 CSV
1,52.1
2,32.2
3,44.6
3,99.1
5,12.3
3,43.2
7,79.4
8,45.5
9,56.3
0,15.4
1,35.7
2,23.7
3,66.7
4,33.8
1,12.9
7,34.8
1,21.6
3,43.7
6,44.2
9,55.8
Output should be like this
输出应该是这样的
[[ 52.1 32.2 44.6 99.1 12.3]
[ 43.2 79.4 45.5 56.3 15.4]]
[[ 35.7 23.7 66.7 33.8 12.9]
[ 34.8 21.6 43.7 44.2 55.8]]
Any ideas? Thank you
有任何想法吗？谢谢
回答by Psidom
pandas.dataframedoesn't have a built-in reshapemethod, but you can use .valuesto access the underlying numpy array object and call reshapeon it:
pandas.dataframe没有内置reshape方法，但您可以使用它.values来访问底层的 numpy 数组对象并调用reshape它：
start = 0
for i in range(0, len(df.index)):
if (i + 1)%10 == 0:
result = df.iloc[start:i+1].values.reshape(2,5)
start = i + 1
print result
#[[ 52.1 32.2 44.6 99.1 12.3]
# [ 43.2 79.4 45.5 56.3 15.4]]
#[[ 35.7 23.7 66.7 33.8 12.9]
# [ 34.8 21.6 43.7 44.2 55.8]]
