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Find row where values for column is maximal in a pandas DataFrame
...,3),columns=['A','B','C'])
>>> df
A B C
0 1.232853 -1.979459 -0.573626
1 0.140767 0.394940 1.068890
2 0.742023 1.343977 -0.579745
3 2.125299 -0.649328 -0.211692
4 -0.187253 1.908618 -1.862934
>>> df['A'].argmax()
3
>>> df['B'].argmax()
4
&...
C#位运算符（C#按位与、按位或 等） - 更多技术 - 清泛网 - 专注C/C++及内核技术
...算按位对运算对象的值进行非运算，即：如果某一位等于0，就将其转变为1；如果某一位等于1，就将其转变为0。
比如，对二进制的10010001进行位逻辑非运算，结果等于01101110，用十进制表示就是：
~145等于110；对二进制的01010101...
Deleting DataFrame row in Pandas based on column value
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10 Answers
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Adding new column to existing DataFrame in Python pandas
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1091
Use the original df1 indexes to create the series:
df1['e'] = pd.Series(np.random.randn(sLeng...
Drop rows with all zeros in pandas data frame
...ere an equivalent function for dropping rows with all columns having value 0?
12 Answers
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How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly
I have a dataframe with ~300K rows and ~40 columns.
I want to find out if any rows contain null values - and put these 'null'-rows into a separate dataframe so that I could explore them easily.
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Convert floats to ints in Pandas?
...nge(5), columns=['a'])
df.a = df.a.astype(float)
df
Out[33]:
a
0 0.0000000
1 1.0000000
2 2.0000000
3 3.0000000
4 4.0000000
pd.options.display.float_format = '{:,.0f}'.format
df
Out[35]:
a
0 0
1 1
2 2
3 3
4 4
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How to test valid UUID/GUID?
... first character of the third block).
Therefore to validate a UUID...
/^[0-9a-f]{8}-[0-9a-f]{4}-[0-5][0-9a-f]{3}-[089ab][0-9a-f]{3}-[0-9a-f]{12}$/i
...ensures you have a canonically formatted UUID that is Version 1 through 5 and is the appropriate Variant as per RFC4122.
NOTE: Braces { and } ar...
How to change the output color of echo in Linux
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30 Answers
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Set every cell in matrix to 0 if that row or column contains a 0
Given a NxN matrix with 0s and 1s. Set every row that contains a 0 to all 0 s and set every column that contains a 0 to all 0 s.
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