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Cell spacing in UICollectionView
... ? I know there is a property minimumInteritemSpacing I have set it to 5.0 still the spacing is not appearing 5.0. I have implemented the flowout delegate method.
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How does a UILabel's minimumScaleFactor work?
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205
You need to set the label.adjustsFontSizeToFitWidth = YES;
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List of encodings that Node.js supports
...16le/utf-16le
utf8/utf-8
binary/latin1 (ISO8859-1, latin1 only in node 6.4.0+)
If you are using an older version than 6.4.0, or don't want to deal with non-Unicode encodings, you can recode the string:
Use iconv-lite to recode files:
var iconvlite = require('iconv-lite');
var fs = require('fs');...
What are the advantages of using nullptr?
... handle nullptr argument!!!
1. In C++, NULL is defined as #define NULL 0, so it is basically int, that is why f(int) is called.
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How to split a delimited string into an array in awk?
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Have you tried:
echo "12|23|11" | awk '{split($0,a,"|"); print a[3],a[2],a[1]}'
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How to convert an integer to a string in any base?
...tring.digits + string.ascii_letters
def int2base(x, base):
if x < 0:
sign = -1
elif x == 0:
return digs[0]
else:
sign = 1
x *= sign
digits = []
while x:
digits.append(digs[int(x % base)])
x = int(x / base)
if sign < 0:
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Common MySQL fields and their appropriate data types
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answered Dec 10 '08 at 0:57
da5idda5id
8,83288 gold badges3636 silver badges5050 bronze badges
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Flatten nested dictionaries, compressing keys
...t(items)
>>> flatten({'a': 1, 'c': {'a': 2, 'b': {'x': 5, 'y' : 10}}, 'd': [1, 2, 3]})
{'a': 1, 'c_a': 2, 'c_b_x': 5, 'd': [1, 2, 3], 'c_b_y': 10}
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How to crop an image using PIL?
I want to crop image in the way by removing first 30 rows and last 30 rows from the given image. I have searched but did not get the exact solution. Does somebody have some suggestions?
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Change one value based on another value in pandas
... 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 can also do the assignment to both columns in one shot:
df.loc[df.ID == 103, ['FirstName', 'LastName']] = 'Matt', 'Jone...