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Read a zipped file as a pandas DataFrame
I'm trying to unzip a csv file and pass it into pandas so I can work on the file.
The code I have tried so far is:
5 Ans...
How to estimate how much memory a Pandas' DataFrame will need?
I have been wondering... If I am reading, say, a 400MB csv file into a pandas dataframe (using read_csv or read_table), is there any way to guesstimate how much memory this will need? Just trying to get a better feel of data frames and memory...
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Can iterators be reset in Python?
...y available.
As several answers rightly remarked, in the specific case of csv you can also .seek(0) the underlying file object (a rather special case). I'm not sure that's documented and guaranteed, though it does currently work; it would probably be worth considering only for truly huge csv file...
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...怎样呢?
这种方式有两个最重要的缺陷。由于Rsync是对文件进行操作,层次比价高,使用Rsync对文件夹进行同步,会占用大量的磁盘I/O和网络带宽。同时如果正在拷贝的文件在大量频繁的更改,Rsync将会变得无所适从而产生冲突...
Create Pandas DataFrame from a string
...ringIO (python2) or io.StringIO (python3) and pass that to the pandas.read_csv function. E.g:
import sys
if sys.version_info[0] < 3:
from StringIO import StringIO
else:
from io import StringIO
import pandas as pd
TESTDATA = StringIO("""col1;col2;col3
1;4.4;99
2;4.5;200
3;4...
Load data from txt with pandas
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You can use:
data = pd.read_csv('output_list.txt', sep=" ", header=None)
data.columns = ["a", "b", "c", "etc."]
Add sep=" " in your code, leaving a blank space between the quotes. So pandas can detect spaces between values and sort in columns. Data co...
Open the file in universal-newline mode using the CSV Django module
I am trying to access a model.filefield in Django to parse a CSV file in Python using the csv module. It's working on Windows, but on Mac it gave me this:
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Trimming a huge (3.5 GB) csv file to read into R
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My try with readLines. This piece of a code creates csv with selected years.
file_in <- file("in.csv","r")
file_out <- file("out.csv","a")
x <- readLines(file_in, n=1)
writeLines(x, file_out) # copy headers
B <- 300000 # depends how large is one pack
while(length...
Specify custom Date format for colClasses argument in read.table/read.csv
...cify the Date format when using the colClasses argument in read.table/read.csv?
4 Answers
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How is Pythons glob.glob ordered?
...:
My files were returned by glob something like:
myList = ["c:\tmp\x\123.csv", "c:\tmp\x\44.csv", "c:\tmp\x\101.csv", "c:\tmp\x\102.csv", "c:\tmp\x\12.csv"]
I sorted the list in place, to do this I created a function:
def sortKeyFunc(s):
return int(os.path.basename(s)[:-4])
This function ...