Python 如何使用一行在 Pandas 中选择范围
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How to select range in Pandas using a row
提问by Tjorriemorrie
I have a Pandas dataframe.
我有一个 Pandas 数据框。
I have in another process selected a row from that dataframe.
我在另一个过程中从该数据框中选择了一行。
At another method, I now need to select a range from that dataframe where the row is and going back 55 rows, if there is so many.
在另一种方法中，我现在需要从该行所在的数据框中选择一个范围，如果有这么多行，则返回 55 行。
Here is some pseudo code, hope it helps:
下面是一些伪代码，希望对你有帮助：
df = DataFrame from csv
row = df[3454]
index = row.index
start = max(0, index - 55)
end = max(1, index)
dfRange = df[start:end]
回答by user1827356
This should do it
这应该做
integer_location = np.where(df.index == 3454)[0][0]
start = max(0, integer_location - 55)
end = max(1, integer_location)
dfRange = df.iloc[start:end]
This link has more info Getting the integer index of a Pandas DataFrame row fulfilling a condition?
此链接包含更多信息 获取满足条件的 Pandas DataFrame 行的整数索引？
