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Remove rows with duplicate indices (Pandas DataFrame and TimeSeries)
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502
I would suggest using the duplicated method on the Pandas Index itself:
df3 = df3[~df3.index.du...
Canvas width and height in HTML5
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390
The canvas DOM element has .height and .width properties that correspond to the height="…" and...
What are differences between AssemblyVersion, AssemblyFileVersion and AssemblyInformationalVersion?
... format: major.minor. This would result in:
[assembly: AssemblyVersion("1.0")]
If you're following SemVer strictly then this means you only update when the major changes, so 1.0, 2.0, 3.0, etc.
AssemblyFileVersion
Used for deployment. You can increase this number for every deployment. It is use...
How to filter Pandas dataframe using 'in' and 'not in' like in SQL
...where)
As a worked example:
import pandas as pd
>>> df
country
0 US
1 UK
2 Germany
3 China
>>> countries_to_keep
['UK', 'China']
>>> df.country.isin(countries_to_keep)
0 False
1 True
2 False
3 True
Name: country, dtype: bool
>>>...
How can I eliminate slow resolving/loading of localhost/virtualhost (a 2-3 second lag) on Mac OS X L
...environments on Mac OS X Lion (brand new macbook air purchased in January 2012), I have noticed that resolving to a virtual host is very slow (around 3 seconds) the first time but after that is fast as long as I continue loading it regularly.
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Which is better, number(x) or parseFloat(x)?
... same:
parseFloat('3'); // => 3
Number('3'); // => 3
parseFloat('1.501'); // => 1.501
Number('1.501'); // => 1.501
parseFloat('1e10'); // => 10000000000
Number('1e10'); // => 10000000000
So as long as you have standard numeric input, there's no difference. However, if your input...
How to configure PostgreSQL to accept all incoming connections
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Just use 0.0.0.0/0.
host all all 0.0.0.0/0 md5
Make sure the listen_addresses in postgresql.conf (or ALTER SYSTEM SET) allows incoming connections on all available IP interfaces.
listen_addres...
Pandas percentage of total with groupby
...swer:
# From Paul H
import numpy as np
import pandas as pd
np.random.seed(0)
df = pd.DataFrame({'state': ['CA', 'WA', 'CO', 'AZ'] * 3,
'office_id': list(range(1, 7)) * 2,
'sales': [np.random.randint(100000, 999999)
for _ in range(12...
How do I get an object's unqualified (short) class name?
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jeremysawesome
6,15733 gold badges3030 silver badges3232 bronze badges
answered Nov 11 '13 at 15:09
lonesomedaylonesomeday
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Is 0 a decimal literal or an octal literal?
...hat actually almost all integer literals in my code are octal, namely 0 .
3 Answers
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