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How to remove an element slowly with jQuery?
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answered Nov 27 '09 at 7:09
GregGreg
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CSS 3 slide-in from left transition
... One
Relevant Code
.wrapper:hover #slide {
transition: 1s;
left: 0;
}
In this case, Im just transitioning the position from left: -100px; to 0; with a 1s. duration. It's also possible to move the element using transform: translate();
CSS animation
Demo Two
#slide {
position: abso...
TLSF源码及算法介绍 - 开源 & Github - 清泛网 - 专注C/C++及内核技术
...ks to Ismael Ripoll for his suggestions and reviews
*
* Copyright (C) 2008, 2007, 2006, 2005, 2004
*
* This code is released using a dual license strategy: GPL/LGPL
* You can choose the licence that better fits your requirements.
*
* Released under the terms of the GNU General Public L...
Adding an arbitrary line to a matplotlib plot in ipython notebook
...as np
import matplotlib.pyplot as plt
np.random.seed(5)
x = np.arange(1, 101)
y = 20 + 3 * x + np.random.normal(0, 60, 100)
plt.plot(x, y, "o")
# draw vertical line from (70,100) to (70, 250)
plt.plot([70, 70], [100, 250], 'k-', lw=2)
# draw diagonal line from (70, 90) to (90, 200)
plt.plot([70,...
Python: fastest way to create a list of n lists
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105
The probably only way which is marginally faster than
d = [[] for x in xrange(n)]
is
from ...
How do I compare version numbers in Python?
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10 Answers
10
Active
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surface plots in matplotlib
...t.figure()
ax = fig.add_subplot(111, projection='3d')
x = y = np.arange(-3.0, 3.0, 0.05)
X, Y = np.meshgrid(x, y)
zs = np.array(fun(np.ravel(X), np.ravel(Y)))
Z = zs.reshape(X.shape)
ax.plot_surface(X, Y, Z)
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
plt.show()
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Concatenating two one-dimensional NumPy arrays
...ents.
From the NumPy documentation:
numpy.concatenate((a1, a2, ...), axis=0)
Join a sequence of arrays together.
It was trying to interpret your b as the axis parameter, which is why it complained it couldn't convert it into a scalar.
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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...
Sequence contains more than one element
...ault. This method will only succeed when the collections contains exactly 0 or 1 element. I believe you are looking for FirstOrDefault which will succeed no matter how many elements are in the collection.
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