MUGA | Make UNET Great Again | Game Engine library
kandi X-RAY | MUGA Summary
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QUESTION
I have a .txt file that has the text output from a SQL Server 19 database query. I am trying to organize the columns of the file into columns in a Pandas DataFrame. The following text is an example of the .txt file (it has 193k lines in this format):
...ANSWER
Answered 2021-Apr-17 at 17:56To load file with fixed width columns, you can use pd.read_fwf
:
QUESTION
I have this code pen: Code Pen
But it seems that the image is not centered when I reduce the screen size but should not be centering like this:
...ANSWER
Answered 2021-Jan-13 at 10:16The screw pointing up in the background seems to stay in the center regardless of what size my window is. Maybe try a different browser? It works for me in the latest chrome and firefox.
QUESTION
I have the dataframe with two columns namely Content
which contains the text, and one more column named Coords
which is a list of tuples. Each tuple containing the meta info of each word of the text.
ANSWER
Answered 2020-Oct-21 at 09:10from ast import literal_eval
df = pd.read_csv('', names=['LineNo', 'Content', 'Coords'])
df['Coords'] = df['Coords'].apply(literal_eval)
df = df.explode('Coords')
df['Content'] = df.groupby('LineNo')['Content'].transform(lambda x: x.iloc[0].split())
print(df)
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