python - Pandas to_csv call is prepending a comma -

-

i have data file, apples.csv, has headers like:

"id","str1","str2","str3","num1","num2"

i read dataframe pandas:

apples = pd.read_csv('apples.csv',delimiter=",",sep=r"\s+")

then stuff it, ignore (i have commented out, , overall issues still occurs, said stuff irrelevant here).

i save out:

apples.to_csv('bananas.csv',columns=["id","str1","str2","str3","num1","num2"])

now, looking @ bananas.csv, headers are:

,id,str1,str2,str3,num1,num2

no more quotes (which don't care about, doesn't impact in file), , leading comma. ensuing rows additional column in there, saves out 7 columns. if do:

print(len(apples.columns))

immediately prior saving, shows 6 columns...

i in java/perl/r, , less experienced python , particularly pandas, not sure if "yeah, that" or issue - have spent amusingly long trying figure out , cannot find via searching.

how can not prepending of comma, , maybe important - why doing it?

set index=false (the default true hence why see output) doesn't save index values csv, see docs

so this:

df = pd.dataframe({'a':np.arange(5), 'b':np.arange(5)}) df.to_csv(r'c:\data\t.csv')

results in 

,a,b 0,0,0 1,1,1 2,2,2 3,3,3 4,4,4

whilst this:

df.to_csv(r'c:\data\t.csv', index=false)

results in this:

a,b 0,0 1,1 2,2 3,3 4,4

it's situation may have index values want save


Comments

Post a Comment

Popular posts from this blog

python - TypeError: start must be a integer -

-
i trying draw 5 turtles, getting typeerror on line 25. here code: import turtle wn = turtle.screen() redrose = turtle.turtle() color = input("what background color be?") fillcolor_f = input("what color of rose be?") redrose.hideturtle() redrose.speed(30) redrose.penup() redrose.left(180) redrose.forward(175) redrose.right(90) redrose.forward(30) redrose.right(90) redrose.pendown() def drawrose(red): redrose.color("pink") redrose.fillcolor(fillcolor_f) redrose.fill(true) in range(red): redrose.forward(i) redrose.right(49) in range(5): drawrose(redrose) redrose.penup() redrose.forward(350) redrose.right(144) redrose.pendown() redrose.fill(false) drawrose(50) wn.bgcolor(color) i trying draw 5 roses, produces errors. doing in interactivepython.org. you recursively calling drawrose wrong parameter. on line 23 ( for in range(red): ) expect red integer...
Read more

c# - DevExpress RepositoryItemComboBox BackColor property ignored -

-
i have following code almost works properly; private void cbstatus_drawitem(object sender, listboxdrawitemeventargs e) { string item = e.item string; if (item != null) { switch (item) { case "1": e.appearance.forecolor = color.green; e.appearance.backcolor = color.green; break; case "2": e.appearance.forecolor = color.orange; e.appearance.backcolor = color.orange; break; case "3": e.appearance.forecolor = color.red; e.appearance.backcolor = color.red; break; } } } when dropdown shown, items forecolor correct, backcolor remains whatever backcolor of theme is; i.e. if i've got set dark theme, backcolor dark, cells in gridview, rather being green/orange/red. i've tried setting e.appearance.options.usebackcolor trying set e....
Read more

django - Creating multiple model instances in DRF3 -

-
1) create multiple model instances 1 api call, asked here: how create multiple model instances django rest framework? tried solution named in link, no success. i trying upload multiple files in 1 api call. result: files uploaded (only once overwrote perform_create) 1 instance created (if send 2 files, latter created instance). my code: class fileuploadserializer(serializers.modelserializer): def __init__(self, *args, **kwargs): many = kwargs.pop('many', true) super(fileuploadserializer, self).__init__(many=many, *args, **kwargs) class meta: model = fileupload read_only_fields = ('created', 'datafile', 'owner') class fileuploadviewset(viewsets.modelviewset): queryset = fileupload.objects.all() serializer_class = fileuploadserializer parser_classes = (multipartparser, formparser, ) def perform_create(self, serializer): file_list = self.request.data.getlist('file') ...
Read more