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Find integer index of rows with NaN in pandas dataframe
...n use to index back into df, e.g.:
df['a'].ix[index[0]]
>>> 1.452354
For the integer index:
df_index = df.index.values.tolist()
[df_index.index(i) for i in index]
>>> [3, 6]
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What does axis in pandas mean?
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399
It specifies the axis along which the means are computed. By default axis=0. This is consisten...
How to pretty-print a numpy.array without scientific notation and with given precision?
...f the output:
import numpy as np
x=np.random.random(10)
print(x)
# [ 0.07837821 0.48002108 0.41274116 0.82993414 0.77610352 0.1023732
# 0.51303098 0.4617183 0.33487207 0.71162095]
np.set_printoptions(precision=3)
print(x)
# [ 0.078 0.48 0.413 0.83 0.776 0.102 0.513 0.462 0.335...
Using numpy to build an array of all combinations of two arrays
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131
In newer version of numpy (>1.8.x), numpy.meshgrid() provides a much faster implementation:
...
How to update gradle in android studio?
...Official links
Version Compatibility
Migrate to Android Plugin for Gradle 3.0.0
Find out the latest version of Gradle
Info about the Gradle Wrapper
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Multiple linear regression in Python
... my dependent variable (y) against several independent variables (x1, x2, x3, etc.).
13 Answers
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Is there a simple way to remove multiple spaces in a string?
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Francisco Couzo
8,04633 gold badges2929 silver badges3737 bronze badges
answered Oct 9 '09 at 21:52
Josh LeeJosh Lee
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Sample random rows in dataframe
...rnorm(20), nrow=10))
> df
X1 X2
1 0.7091409 -1.4061361
2 -1.1334614 -0.1973846
3 2.3343391 -0.4385071
4 -0.9040278 -0.6593677
5 0.4180331 -1.2592415
6 0.7572246 -0.5463655
7 -0.8996483 0.4231117
8 -1.0356774 -0.1640883
9 -0.3983045 0.7157506
10 -0.9060305 2.3234...
How to iterate for loop in reverse order in swift?
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233
Xcode 6 beta 4 added two functions to iterate on ranges with a step other than one:
stride(from...
How do I calculate percentiles with python/numpy?
...centile() is available in numpy too.
import numpy as np
a = np.array([1,2,3,4,5])
p = np.percentile(a, 50) # return 50th percentile, e.g median.
print p
3.0
This ticket leads me to believe they won't be integrating percentile() into numpy anytime soon.
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