这是我打印后的示例 csv 文件:
1556890689.332073;16384;340;48188.23529411765;[1618.6294555664062 1619.0826416015625 ... 1620.391845703125.584 1620.1904296874998]
0 1556890689.746113;16384;341;48046.92082111437;... 1619.082642 ... 1620.442200 1619.6868896484373]
1 1556890690.1393259;16384;340;48188.23529411765... 1620.643616 ... 1619.888306 1619.384765625]
2 1556890690.536072;16384;340;48188.23529411765;... 1619.737244 ... 1620.089722 1620.391845703125]
我尝试运行这个:
import pandas as pd
data = pd.read_csv("project_fan.csv", error_bad_lines = False)
print(data.head())
data.columns['unixTime', 'sampleAmount','Time','samplingRate', 'Data']
并得到这些错误:
Traceback (most recent call last):
File "new.py", line 6, in <module>
data.columns['unixTime', 'sampleAmount','Time','samplingRate', 'Data']
File "/usr/local/lib/python2.7/dist-packages/pandas/core/indexes/base.py", line 3969, in __getitem__
result = getitem(key)
IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices
最佳答案
read_csv 中的默认分隔符参数是 ,，所以需要添加参数 sep=';'，对于新列名称，如果 csv 中不存在则添加参数 names 列表的长度与列数相同:
names = ['unixTime', 'sampleAmount','Time','samplingRate', 'Data']
data = pd.read_csv("project_fan.csv", sep=';', error_bad_lines = False, names=names)
关于python - 无法在 DataFrame 中添加列名称，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/59788698/