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“Incorrect string value” when trying to insert UTF-8 into MySQL via JDBC?
...r.getConnection(url + dbName + "?useUnicode=true&characterEncoding=utf-8", userName, password);
17 Answers
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CSV in Python adding an extra carriage return, on Windows
...et newline='\n'
with open('output.csv', 'w', newline='\n', encoding='utf-8') as f:
writer = csv.writer(f)
...
Python 2:
On Windows, always open your files in binary mode ("rb" or "wb"), before passing them to csv.reader or csv.writer.
Although the file is a text file, CSV is regarded...
How to create a custom string representation for a class object?
...
280
Implement __str__() or __repr__() in the class's metaclass.
class MC(type):
def __repr__(self...
u'\ufeff' in Python string
...ht codec, Python will remove it for you. Examples:
#!python2
#coding: utf8
u = u'ABC'
e8 = u.encode('utf-8') # encode without BOM
e8s = u.encode('utf-8-sig') # encode with BOM
e16 = u.encode('utf-16') # encode with BOM
e16le = u.encode('utf-16le') # encode without BOM
e16be = u.enco...
Python pandas Filtering out nan from a data selection of a column of strings
...re at least two non-NaN.
Then you could then drop where name is NaN:
In [87]:
nms
Out[87]:
movie name rating
0 thg John 3
1 thg NaN 4
3 mol Graham NaN
4 lob NaN NaN
5 lob NaN NaN
[5 rows x 3 columns]
In [89]:
nms = nms.dropna(thresh=2)
In ...
How to drop into REPL (Read, Eval, Print, Loop) from Python code
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answered Sep 8 '09 at 20:34
AlexAlex
1,91622 gold badges1616 silver badges2020 bronze badges
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In Maven 2, how do I know from which dependency comes a transitive dependency?
...NAPSHOT
[INFO] \- org.apache.maven.doxia:doxia-site-renderer:jar:1.0-alpha-8:compile
[INFO] \- org.codehaus.plexus:plexus-velocity:jar:1.1.3:compile
[INFO] \- velocity:velocity:jar:1.4:compile
share
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Check if a given Type is an Enum
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answered Nov 8 '11 at 2:35
Ry-♦Ry-
192k4444 gold badges392392 silver badges404404 bronze badges
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Add column with constant value to pandas dataframe [duplicate]
...with partially aligned indices:
In [7]: from pandas import DataFrame
In [8]: from numpy.random import randint
In [9]: df = DataFrame({'a': randint(3, size=10)})
In [10]:
In [10]: df
Out[10]:
a
0 0
1 2
2 0
3 1
4 0
5 0
6 0
7 0
8 0
9 0
In [11]: s = df.a[:5]
In [12]: dfa, sa = df.ali...
Why do enum permissions often have 0, 1, 2, 4 values?
Why are people always using enum values like 0, 1, 2, 4, 8 and not 0, 1, 2, 3, 4 ?
7 Answers
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