daviddoji/numpy-100
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Add difficulty level

Browse Source
This commit is contained in:
Jessica B. Hamrick
2016-07-14 14:55:58 -05:00
parent 1be7effea7
commit 77dc7a6da2
2 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
README.html
View File

@@ -949,7 +949,7 @@ the rows which only contain integers and which sum to n. (★★★)</p>
<span class="keyword">print</span><span class="punctuation">(</span><span class="name">X</span><span class="punctuation">[</span><span class="name">M</span><span class="punctuation">])</span> <span class="keyword">print</span><span class="punctuation">(</span><span class="name">X</span><span class="punctuation">[</span><span class="name">M</span><span class="punctuation">])</span>
</pre> </pre>
</li> </li>
<li><p class="first">Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means).</p> <li><p class="first">Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means). (★★★)</p>
</li> </li>
</ol> </ol>
<blockquote> <blockquote>

2
README.rst
View File

@@ -1107,7 +1107,7 @@ Thanks to Michiaki Ariga, there is now a
M &= (X.sum(axis=-1) == n) M &= (X.sum(axis=-1) == n)
print(X[M]) print(X[M])
#. Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means). #. Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means). (★★★)
.. code-block:: python .. code-block:: python