The following code generates a pandas.DataFrame from a 3D array over the first axis. I manually create the columns names (defining cols): is there a more built-in way to do this (to avoid potential errors e.g. regarding C-order)? –> I am looking for a way to guarantee the respect of the order of the indices after the reshape operation (here
Tag: python-3.x
ValueError: There may be at most 1 To headers in a message
I am trying to write a very basic email sending script. Here is my code .. the script should send mail to multiple recipients so, I need to change the msg[‘To’] field when iterating through loop But I get the following error in traceback bellow. How do I solve ? Please help. Thank you.. Answer Clean the ‘To’ property of
Return names from a list when some letters match
How can I return an item from a list if a string matches part of the name? Answer Output: You can check more about it here: get_close_matches
Fastest way to round random numbers in python
I want to generate random numbers up to certain precision, one at a time (so I am not looking for a vectorized solution). I found a method in this QnA on stackoverflow, and it gave me these benchmarks as promised. The method is definitely is almost twice as fast. Now, here’s what is puzzling me. Why is the above method
max pooling across one dimension using keras
I have implemented a 3D-convolution neural network. The shape of my input is (500,10,4,1). I only want to convolve in first dimension such that it is ‘fully connected’ in second and third dimension in a way. So I use kernel size of (30,10,4). So far it’s fine. But when I do max pooling it reduces the second and third dimension
AttributeError: ‘FileInput’ object has no attribute ‘read’
This is my code I’m getting this error, AttributeError: ‘FileInput’ object has no attribute ‘read’ Answer For a single file use open
pandas group by and fill in the missing time interval sequence
I have a data frame like as shown below What I would like to do is a) FIll in the missing time by generating a sequence number (ex:1,2,3,4) and copy the value (for all other columns) from the previous row I was trying something like below But this doesn’t help me get the expected output I expect my output to
How to loop through values in a dictionary to see if they ever appear as a key
I have the following dictionary (i.e., my_dict). Basically each key is a sick person and the values for that key are the people they have been in contact with. I need the people that occur only in the values and never in the keys. Philip and Sarai are the only names that appear as values but not keys. This is
How to select the values and the length of a random string? [closed]
Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 2 years ago. Improve this question I made a list of the characters that I want in the string and also know the length. I just don’t know where to announce
Parsing text file containing unique pattern using Python
How to parse a text file containing this pattern “KEYWORD: Out:” and dump the result into output file using Python? input.txt output.txt Answer You could use a regex: If you want to do this line-by-line from a file: