pandas 如何删除数据框中的所有行？
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/24612584/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
How to delete all rows in a dataframe?
提问by cammil
I want to delete allthe rows in a dataframe.
我想删除数据框中的所有行。
The reason I want to do this is so that I can reconstruct the dataframe with an iterative loop. I want to start with a completely empty dataframe.
我想这样做的原因是我可以用迭代循环重建数据帧。我想从一个完全空的数据框开始。
Alternatively, I could create an empty df from just the column / type information if that is possible
或者，如果可能的话，我可以仅从列/类型信息创建一个空的 df
采纳答案by FooBar
The latter is possible and strongly recommended - "inserting" rows row-by-row is highly inefficient. A sketch could be
后者是可能的并且强烈推荐 - 逐行“插入”行效率非常低。草图可以是
>>> import numpy as np
>>> import pandas as pd
>>> index = np.arange(0, 10)
>>> df = pd.DataFrame(index=index, columns=['foo', 'bar'])
>>> df
Out[268]:
foo bar
0 NaN NaN
1 NaN NaN
2 NaN NaN
3 NaN NaN
4 NaN NaN
5 NaN NaN
6 NaN NaN
7 NaN NaN
8 NaN NaN
9 NaN NaN
回答by ashishsingal
Here's another method if you have an existing DataFrame that you'd like to empty without recreating the column information:
如果您有一个现有的 DataFrame 想要清空而不重新创建列信息，那么这是另一种方法：
df_empty = df[0:0]
df_emptyis a DataFrame with zero rows but with the same column structure as df
df_empty是一个具有零行但具有相同列结构的 DataFrame df
