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Interpolating a string into a regex
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answered Sep 29 '08 at 18:53
Jonathan LonowskiJonathan Lonowski
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How assignment works with Python list slice?
...ete, or replace contents from a list:
Insertion:
>>> a = [1, 2, 3]
>>> a[0:0] = [-3, -2, -1, 0]
>>> a
[-3, -2, -1, 0, 1, 2, 3]
Deletion:
>>> a
[-3, -2, -1, 0, 1, 2, 3]
>>> a[2:4] = []
>>> a
[-3, -2, 1, 2, 3]
Replacement:
>>> a
[-...
How to validate an e-mail address in swift?
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34 Answers
34
Active
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100% width Twitter Bootstrap 3 template
...lable any longer. I have no idea how to achieve that layout with bootstrap 3. I am using the Geometry PSD template from themeforest, the link here if you want to see the layout : http://themeforest.net/item/geometry-design-for-geolocation-social-networkr/4752268
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Find the max of two or more columns with pandas
...>>> import pandas as pd
>>> df = pd.DataFrame({"A": [1,2,3], "B": [-2, 8, 1]})
>>> df
A B
0 1 -2
1 2 8
2 3 1
>>> df[["A", "B"]]
A B
0 1 -2
1 2 8
2 3 1
>>> df[["A", "B"]].max(axis=1)
0 1
1 8
2 3
and so:
>>> df["C"] = ...
How to get a value from a cell of a dataframe?
...row as a Series using iloc, and then the value using the column name:
In [3]: sub_df
Out[3]:
A B
2 -0.133653 -0.030854
In [4]: sub_df.iloc[0]
Out[4]:
A -0.133653
B -0.030854
Name: 2, dtype: float64
In [5]: sub_df.iloc[0]['A']
Out[5]: -0.13365288513107493
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Replace all elements of Python NumPy Array that are greater than some value
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346
I think both the fastest and most concise way to do this is to use NumPy's built-in Fancy inde...
Dynamically update values of a chartjs chart
... a line chart: http://jsbin.com/yitep/4/edit
Original Post
As of Nov 2013, there seem to be very few options for updating charts.
There is a good example here (duplicated below) of adding new points to a line chart. Still kind of jumpy but not too bad. However, I think the effect probably de...
Converting a column within pandas dataframe from int to string
...hape(5,2),columns=list('AB'))
In [17]: df
Out[17]:
A B
0 0 1
1 2 3
2 4 5
3 6 7
4 8 9
In [18]: df.dtypes
Out[18]:
A int64
B int64
dtype: object
Convert a series
In [19]: df['A'].apply(str)
Out[19]:
0 0
1 2
2 4
3 6
4 8
Name: A, dtype: object
In [20]: df['A...
Slicing of a NumPy 2d array, or how do I extract an mxm submatrix from an nxn array (n>m)?
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As Sven mentioned, x[[[0],[2]],[1,3]] will give back the 0 and 2 rows that match with the 1 and 3 columns while x[[0,2],[1,3]] will return the values x[0,1] and x[2,3] in an array.
There is a helpful function for doing the first example I gave, numpy.ix_. Y...