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How to detect the physical connected state of a network cable/connector?
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You want to look at the nodes in
/sys/class/net/
I experimented with mine:
Wire Plugged in:
eth0/carrier:1
eth0/operstate:unknown
Wire Removed:
eth0/carrier:0
eth0/operstate:down
Wire Plugged in Again:
eth0/carrier:1
eth0/operstate:up
Side Tric...
Converting a List to a comma separated string
Is there a way to take a List and convert it into a comma separated string?
8 Answers
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Convert Year/Month/Day to Day of Year in Python
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Better yet: time.localtime().tm_yday No need to convert a datetime to a timetuple since that's what localtime() yields.
– Mike Ellis
Apr 29 '14 at 13:36
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How to convert vector to array
How do I convert a std::vector<double> to a double array[] ?
10 Answers
10
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Convert string to integer type in Go?
I'm trying to convert a string returned from flag.Arg(n) to an int . What is the idiomatic way to do this in Go?
5 Answe...
How does `is_base_of` work?
.... Then for the call to check, both versions are viable because Host can be converted to D* and B*. It's a user defined conversion sequence as described by 13.3.3.1.2 from Host<B, D> to D* and B* respectively. For finding conversion functions that can convert the class, the following candidate ...
What is the best way to convert seconds into (Hour:Minutes:Seconds:Milliseconds) time?
What is the best way to convert seconds into (Hour:Minutes:Seconds:Milliseconds) time?
13 Answers
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Python: Convert timedelta to int in a dataframe
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You could do this, where td is your series of timedeltas. The division converts the nanosecond deltas into day deltas, and the conversion to int drops to whole days.
import numpy as np
(td / np.timedelta64(1, 'D')).astype(int)
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Convert a positive number to negative in C#
You can convert a negative number to positive like this:
22 Answers
22
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Compare two DataFrames and output their differences side-by-side
...ny(df1.dtypes != df2.dtypes):
"Data Types are different, trying to convert"
df2 = df2.astype(df1.dtypes)
if df1.equals(df2):
return None
else:
# need to account for np.nan != np.nan returning True
diff_mask = (df1 != df2) & ~(df1.isnull() & df2...