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python-cheatsheet
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Jure Šorn 4 years ago
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2 changed files with 6 additions and 6 deletions
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  1. 6
      README.md
  2. 6
      index.html

6
README.md
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@ -3103,7 +3103,7 @@ Name: a, dtype: int64
```python
<Sr> = <Sr> ><== <el/Sr> # Returns a Series of bools.
<Sr> = <Sr> +-*/ <el/Sr> # Non-matching keys get value NaN.
<Sr> = <Sr> +-*/ <el/Sr> # Items with non-matching keys get value NaN.
```
```python
@ -3176,7 +3176,7 @@ b 3 4
```python
<DF> = <DF> ><== <el/Sr/DF> # Returns DataFrame of bools.
<DF> = <DF> +-*/ <el/Sr/DF> # Non-matching keys get value NaN.
<DF> = <DF> +-*/ <el/Sr/DF> # Items with non-matching keys get value NaN.
```
```python
@ -3298,7 +3298,7 @@ c 7 8
```python
<GB> = <DF>.groupby(column_key/s) # DF is split into groups based on passed column.
<DF> = <GB>.get_group(group_key) # Selects a group by value of grouping column.
<DF> = <GB>.get_group(group_key/s) # Selects a group by value of grouping column.
```
#### Aggregate, Transform, Map:

6
index.html
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@ -2650,7 +2650,7 @@ Name: a, dtype: int64
&lt;Sr&gt; = &lt;Sr&gt;[bools] <span class="hljs-comment"># Or: &lt;Sr&gt;.i/loc[bools]</span>
</code></pre>
<pre><code class="python language-python hljs">&lt;Sr&gt; = &lt;Sr&gt; &gt;&lt;== &lt;el/Sr&gt; <span class="hljs-comment"># Returns a Series of bools.</span>
&lt;Sr&gt; = &lt;Sr&gt; +-*/ &lt;el/Sr&gt; <span class="hljs-comment"># Non-matching keys get value NaN.</span>
&lt;Sr&gt; = &lt;Sr&gt; +-*/ &lt;el/Sr&gt; <span class="hljs-comment"># Items with non-matching keys get value NaN.</span>
</code></pre>
<pre><code class="python language-python hljs">&lt;Sr&gt; = &lt;Sr&gt;.append(&lt;Sr&gt;) <span class="hljs-comment"># Or: pd.concat(&lt;coll_of_Sr&gt;)</span>
&lt;Sr&gt; = &lt;Sr&gt;.combine_first(&lt;Sr&gt;) <span class="hljs-comment"># Adds items that are not yet present.</span>
@ -2706,7 +2706,7 @@ b <span class="hljs-number">3</span> <span class="hljs-number">4</span>
&lt;DF&gt; = &lt;DF&gt;[&lt;DF_of_bools&gt;] <span class="hljs-comment"># Assigns NaN to False values.</span>
</code></pre>
<pre><code class="python language-python hljs">&lt;DF&gt; = &lt;DF&gt; &gt;&lt;== &lt;el/Sr/DF&gt; <span class="hljs-comment"># Returns DataFrame of bools.</span>
&lt;DF&gt; = &lt;DF&gt; +-*/ &lt;el/Sr/DF&gt; <span class="hljs-comment"># Non-matching keys get value NaN.</span>
&lt;DF&gt; = &lt;DF&gt; +-*/ &lt;el/Sr/DF&gt; <span class="hljs-comment"># Items with non-matching keys get value NaN.</span>
</code></pre>
<pre><code class="python language-python hljs">&lt;DF&gt; = &lt;DF&gt;.set_index(column_key) <span class="hljs-comment"># Replaces row keys with values from a column.</span>
&lt;DF&gt; = &lt;DF&gt;.reset_index() <span class="hljs-comment"># Moves row keys to their own column.</span>
@ -2809,7 +2809,7 @@ c <span class="hljs-number">7</span> <span class="hljs-number">8</span>
<pre><code class="python language-python hljs">&lt;GB&gt; = &lt;DF&gt;.groupby(column_key/s) <span class="hljs-comment"># DF is split into groups based on passed column.</span>
&lt;DF&gt; = &lt;GB&gt;.get_group(group_key) <span class="hljs-comment"># Selects a group by value of grouping column.</span>
&lt;DF&gt; = &lt;GB&gt;.get_group(group_key/s) <span class="hljs-comment"># Selects a group by value of grouping column.</span>
</code></pre>
<div><h4 id="aggregatetransformmap-2">Aggregate, Transform, Map:</h4><pre><code class="python language-python hljs">&lt;DF&gt; = &lt;GB&gt;.sum/max/mean/idxmax/all() <span class="hljs-comment"># Or: &lt;GB&gt;.apply/agg(&lt;agg_func&gt;)</span>
&lt;DF&gt; = &lt;GB&gt;.rank/diff/cumsum/ffill() <span class="hljs-comment"># Or: &lt;GB&gt;.aggregate(&lt;trans_func&gt;) </span>

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