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Pandas every nth row
...came up with when using the index was not viable ( possibly the multi-Gig .csv was too large, or I missed some technique that would allow me to reindex without crashing ).
Walk through one row at a time and add the nth row to a new dataframe.
import pandas as pd
from csv import DictReader
def make_...
Enter “&” symbol into a text Label in Windows Forms?
...ed Dec 1 '10 at 14:03
Øyvind BråthenØyvind Bråthen
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Printing all global variables/local variables?
How can I print all global variables/local variables? Is that possible in gdb?
3 Answers
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How do I request a file but not save it with Wget? [closed]
...an 24 '19 at 20:53
Salathiel Genèse
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answered Mar 13 '12 at 20:21
Ma...
How is mime type of an uploaded file determined by browser?
...70 (kPrimaryMappings and kSecondaryMappings).
An example: when uploading a CSV file from a Windows system with Microsoft Excel installed, Chrome will report this as application/vnd.ms-excel. This is because .csv is not specified in the first hard-coded list, so the browser falls back to the system r...
How to do what head, tail, more, less, sed do in Powershell? [closed]
... Holy cow, this is maxing out my CPU to do a -last 2 on a 1GB CSV. Hot beverage: ☕
– mlissner
Feb 19 '13 at 19:28
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Is it safe to push_back an element from the same vector?
...ered Sep 13 '13 at 14:51
Johan RådeJohan Råde
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Lazy Method for Reading Big File in Python?
..., you can to use the file object itself as lazy generator:
with open('big.csv') as f:
for line in f:
process(line)
However, I once ran into a very very big (almost) single line file, where the row separator was in fact not '\n' but '|'.
Reading line by line was not an option, but I ...
Create an empty data.frame
...ames)
Alternatively specifying the col.names as a string:
df <- read.csv(text="Date,File,User", colClasses = colClasses)
Thanks to Richard Scriven for the improvement
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Change one value based on another value in pandas
...re.
Assuming you can load your data directly into pandas with pandas.read_csv then the following code might be helpful for you.
import pandas
df = pandas.read_csv("test.csv")
df.loc[df.ID == 103, 'FirstName'] = "Matt"
df.loc[df.ID == 103, 'LastName'] = "Jones"
As mentioned in the comments, you c...