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Remove data.frame row names when using xtable
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% latex table generated in R 2.12.2 by xtable 1.5-6 package
% Fri Mar 25 10:06:08 2011
\begin{table}[ht]
\begin{center}
\begin{tabular}{rrrrr}
\hline
am & cyl & mpg & hp & wt \\
\hline
0.00 & 4.00 & 22.90 & 84.67 & 2.94 \\
0.00 & 6.00 & 19.12 & 11...
How can I scale the content of an iframe?
...ra and Safari if you change the CSS to:
<style>
#wrap { width: 600px; height: 390px; padding: 0; overflow: hidden; }
#frame { width: 800px; height: 520px; border: 1px solid black; }
#frame {
-ms-zoom: 0.75;
-moz-transform: scale(0.75);
-moz-transform-origin...
Hour from DateTime? in 24 hours format
...he hour but show it in 24 hours format.
For example:
If the hour is 2:20:23 p.m. i want to convert it to 14:20 and that's it.
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Formatting Phone Numbers in PHP
... and need to be able to convert the sender's phone number from +11234567890 to 123-456-7890 so it can be compared to records in a MySQL database .
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Returning an array using C
...t (shouldn't) do this:
char *returnArray(char array []){
char returned [10];
//methods to pull values from array, interpret them, and then create new array
return &(returned[0]); //is this correct?
}
returned is created with automatic storage duration and references to it will become inva...
Why use softmax as opposed to standard normalization?
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170
There is one nice attribute of Softmax as compared with standard normalisation.
It react to lo...
Python module os.chmod(file, 664) does not change the permission to rw-rw-r— but -w--wx----
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130
Found this on a different forum
If you're wondering why that leading zero is important, it's...
How can we make xkcd style graphs?
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answered May 16 '13 at 20:49
Emilio Torres ManzaneraEmilio Torres Manzanera
4,74022 gold badges1212 silver badges88 bronze badges
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Pandas DataFrame column to list [duplicate]
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270
You can use the Series.to_list method.
For example:
import pandas as pd
df = pd.DataFrame({'a...
Compute a confidence interval from sample data
...y as np
import scipy.stats
def mean_confidence_interval(data, confidence=0.95):
a = 1.0 * np.array(data)
n = len(a)
m, se = np.mean(a), scipy.stats.sem(a)
h = se * scipy.stats.t.ppf((1 + confidence) / 2., n-1)
return m, m-h, m+h
you can calculate like this way.
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