On a narrow build:
>>> ghost = u'👻'
>>> repr(ghost)
"u'\\U0001f47b'"
>>> print u'\U0001f47b'
👻
>>> g = 0x0001f47b
>>> unichr(g)
Traceback (most recent call last):
library(plyr) | |
library(dplyr) | |
donors = read.csv("donors.csv", header=TRUE, stringsAsFactors=FALSE, | |
na.strings=c("", " ")) | |
names(donors) = tolower(names(donors)) | |
library(lubridate) | |
donors$donation_time = parse_date_time(donors$donation_time, | |
orders=c("ymdhms", "mdyImsp"), | |
tz="America/Chicago") | |
donors[which.min(donors$donation_time), "donation_time"] = as.POSIXct("2014/05/01 00:00", tz="America/Chicago") |
import cairo | |
import numpy as np | |
from PIL import Image | |
# imdata is a 2D numpy array of dtype np.uint8 containing grayscale pixel intensities on [0, 255] | |
# repeat for each of R, G, B, and add a deck of 255s for alpha | |
cairo_imdata = np.dstack([imdata, imdata, imdata, np.ones_like(imdata)*255]) | |
surface = cairo.ImageSurface.create_for_data(cairo_imdata, cairo.FORMAT_ARGB32, *(reversed(imdata.shape))) | |
# create a context and do some doodling |
>>> s = pd.Series(["foo", "bar", "bar"]) | |
>>> t = pd.Series(["foo", "bar", "baz"]) | |
>>> s.value_counts() - t.value_counts() | |
bar 1 | |
baz NaN | |
foo 0 |
>>> s = pd.Series([0,1,1]) | |
>>> t = pd.Series(['foo', 'bar', 'baz']) | |
>>> map = pd.Series({0: 'foo', 1: 'bar', 2: 'baz'}) | |
>>> map[s] | |
0 foo | |
1 bar | |
1 bar | |
dtype: object | |
>>> map[s].value_counts() - t.value_counts() | |
bar 1 |
> a = data.frame(foo=c(1,2,3), bar=c(-1,2,-3)) | |
> a | |
foo bar | |
1 1 -1 | |
2 2 2 | |
3 3 -3 | |
> ifelse(a$bar < 0, -a$bar, a$bar) | |
[1] 1 2 3 | |
> |
On a narrow build:
>>> ghost = u'👻'
>>> repr(ghost)
"u'\\U0001f47b'"
>>> print u'\U0001f47b'
👻
>>> g = 0x0001f47b
>>> unichr(g)
Traceback (most recent call last):
diff --git a/Swift/QtUI/UserSearch/QtUserSearchWindow.cpp b/Swift/QtUI/UserSearch/QtUserSearchWindow.cpp | |
index d69c626..2552d6d 100644 | |
--- a/Swift/QtUI/UserSearch/QtUserSearchWindow.cpp | |
+++ b/Swift/QtUI/UserSearch/QtUserSearchWindow.cpp | |
@@ -221,7 +221,7 @@ void QtUserSearchWindow::setSearchFields(boost::shared_ptr<SearchPayload> fields | |
fieldsPage_->setFormWidget(new QtFormWidget(fields->getForm(), fieldsPage_)); | |
} else { | |
fieldsPage_->setFormWidget(NULL); | |
- bool enabled[8] = {fields->getNick(), fields->getNick(), fields->getFirst(), fields->getFirst(), fields->getLast(), fields->getLast(), fields->getEMail(), fields->getEMail()}; | |
+ bool enabled[8] = {!!fields->getNick(), !!fields->getNick(), !!fields->getFirst(), !!fields->getFirst(), !!fields->getLast(), !!fields->getLast(), !!fields->getEMail(), !!fields->getEMail()}; |
require "formula" | |
class Hatari < Formula | |
homepage "http://hatari.tuxfamily.org" | |
head "http://hg.tuxfamily.org/mercurialroot/hatari/hatari", :using => :hg, :branch => "default" | |
url "http://download.tuxfamily.org/hatari/1.8.0/hatari-1.8.0.tar.bz2" | |
sha1 "08d950c3156c764b87ac0ae03c4f350febff9567" | |
depends_on :x11 | |
depends_on "cmake" => :build |
require "formula" | |
class Hatari < Formula | |
homepage "http://hatari.tuxfamily.org" | |
head "http://hg.tuxfamily.org/mercurialroot/hatari/hatari", :using => :hg, :branch => "default" | |
url "http://download.tuxfamily.org/hatari/1.8.0/hatari-1.8.0.tar.bz2" | |
sha1 "08d950c3156c764b87ac0ae03c4f350febff9567" | |
depends_on :x11 | |
depends_on "cmake" => :build |
In [1]: import pandas as pd | |
In [2]: df = pd.DataFrame({'foo': ['a', 'a', 'b', 'b'], 'bar': [1,2,3,4]}) | |
In [3]: g = df.groupby('foo') | |
In [5]: for group in g: | |
...: print(group) | |
...: | |
('a', bar foo |