text stringlengths 1 81 | start float64 0 10.1k | duration float64 0 24.9 |
|---|---|---|
columns are going to be and therefore | 4,065.24 | 3.299 |
I'm naming my variables accordingly | 4,066.74 | 4.319 |
however this is a good segue to one | 4,068.539 | 5.101 |
final feature of reading csvs which is | 4,071.059 | 4.56 |
that you don't have to rely on either | 4,073.64 | 4.439 |
getting a row as a list and using | 4,075.619 | 4.68 |
bracket zero or bracket one and you | 4,078.079 | 4.02 |
don't have to unpack things manually in | 4,080.299 | 3.901 |
this way we could actually be smarter | 4,082.099 | 4.141 |
and start storing the names of these | 4,084.2 | 4.74 |
columns in the CSV file itself and in | 4,086.24 | 4.44 |
fact if any of you have ever opened a | 4,088.94 | 4.02 |
spreadsheet file before be it in Excel | 4,090.68 | 4.439 |
Apple Numbers Google spreadsheets or the | 4,092.96 | 4.02 |
like all odds are you've noticed that | 4,095.119 | 4.321 |
the first row very frequently is a | 4,096.98 | 4.08 |
little different it actually is bold | 4,099.44 | 3.419 |
face sometimes or it actually contains | 4,101.06 | 4.199 |
the names of those columns the names of | 4,102.859 | 4.681 |
those attributes below and we can do | 4,105.259 | 4.801 |
this here and students.csv I don't have | 4,107.54 | 4.319 |
to just keep assuming that the student's | 4,110.06 | 3.9 |
name is first and that the student's | 4,111.859 | 4.741 |
home is second I can explicitly bake | 4,113.96 | 5.46 |
that information into the file just to | 4,116.6 | 4.8 |
reduce the probability of mistakes down | 4,119.42 | 3.96 |
the road I can literally use the first | 4,121.4 | 5.16 |
row of this file and say name comma home | 4,123.38 | 5.279 |
so notice that | 4,126.56 | 4.32 |
name is not literally someone's name and | 4,128.659 | 3.901 |
home is not literally someone's home it | 4,130.88 | 4.319 |
is literally the words name and home | 4,132.56 | 5.52 |
separated by a comma and if I now go | 4,135.199 | 5.761 |
back into students.pi and don't use CSV | 4,138.08 | 5.759 |
reader but instead I use a dictionary | 4,140.96 | 6.54 |
reader I can actually treat my CSV file | 4,143.839 | 5.52 |
even more flexibly not just for this but | 4,147.5 | 4.08 |
for other examples too let me do this | 4,149.359 | 5.041 |
instead of using a CSV reader let me use | 4,151.58 | 6.36 |
a CSV dict reader which will now iterate | 4,154.4 | 6.419 |
over the file top to bottom loading in | 4,157.94 | 5.759 |
each line of text not as a list of | 4,160.819 | 5.761 |
columns but as a dictionary of columns | 4,163.699 | 4.62 |
what's nice about this is that it's | 4,166.58 | 4.079 |
going to give me automatic access now to | 4,168.319 | 4.86 |
those columns names I'm going to revert | 4,170.659 | 5.52 |
to just saying for Row in reader and now | 4,173.179 | 4.98 |
I'm going to append a name and a home | 4,176.179 | 4.381 |
but how am I going to get access to the | 4,178.159 | 5.881 |
current rows name and the current rows | 4,180.56 | 6.659 |
home well earlier I use bracket zero for | 4,184.04 | 4.56 |
the first and bracket one for the second | 4,187.219 | 4.321 |
when I was using a reader a reader | 4,188.6 | 5.34 |
returns lists addict reader or | 4,191.54 | 4.92 |
dictionary reader returns dictionaries | 4,193.94 | 5.88 |
one at a time and so if I want to access | 4,196.46 | 5.759 |
the current Row's name I can say row | 4,199.82 | 4.859 |
quote unquote name I can say here for | 4,202.219 | 5.281 |
home row quote-unquote home and I now | 4,204.679 | 4.801 |
have access to those same values the | 4,207.5 | 3.239 |
only change I had to make to be clear | 4,209.48 | 4.44 |
was in my CSV file I had to include on | 4,210.739 | 5.701 |
the very first row little hints as to | 4,213.92 | 4.98 |
what these columns are and if I now run | 4,216.44 | 4.2 |
this code I think it should behave | 4,218.9 | 3.42 |
pretty much the same python of | 4,220.64 | 3.9 |
students.pi and indeed we get the same | 4,222.32 | 5.76 |
sentences but now my code is more robust | 4,224.54 | 6.179 |
against changes in this data if I were | 4,228.08 | 5.28 |
to open the CSV file in Excel or Google | 4,230.719 | 4.621 |
spreadsheets or apple numbers and for | 4,233.36 | 3.9 |
whatever reason change the columns | 4,235.34 | 3.54 |
around maybe this is a file that you're | 4,237.26 | 2.939 |
sharing with someone else and just | 4,238.88 | 3.24 |
because they decide to sort things | 4,240.199 | 3.721 |
differently left to right by moving the | 4,242.12 | 3 |
columns around | 4,243.92 | 3.239 |
previously my code would have broken | 4,245.12 | 4.14 |
because I was assuming that name is | 4,247.159 | 4.5 |
always first and home is always second | 4,249.26 | 6.06 |
but if I did this be it manually in one | 4,251.659 | 5.461 |
of those programs or here home comma | 4,255.32 | 4.08 |
name and suppose I reversed all of this | 4,257.12 | 4.26 |
the home comes first followed by Harry | 4,259.4 | 6.24 |
the borough then by Ron and then lastly | 4,261.38 | 7.62 |
Malfoy Manor then Draco notice that my | 4,265.64 | 5.28 |
file is now completely flipped the First | 4,269 | 3.239 |
Column is now the second and the | 4,270.92 | 3.779 |
second's the first but I took care to | 4,272.239 | 5.101 |
update the header of that file the first | 4,274.699 | 5.46 |
row notice my python code I'm not going | 4,277.34 | 4.8 |
to touch it at all I'm going to rerun | 4,280.159 | 5.281 |
python of students.pi and hit enter and | 4,282.14 | 6.059 |
it still just works and this too is an | 4,285.44 | 4.5 |
example of like coding defensively like | 4,288.199 | 3.601 |
what if someone changes your CSV file | 4,289.94 | 3.779 |
your data file ideally that won't happen | 4,291.8 | 4.02 |
but even if it does now because I'm | 4,293.719 | 4.44 |
using a dictionary reader that's going | 4,295.82 | 5.46 |
to infer from that first row for me what | 4,298.159 | 5.52 |
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