single line pre for data analysis with python

This commit is contained in:
ieahleen
2021-01-01 18:40:00 +00:00
parent 03a5379062
commit 3bccaff753
5 changed files with 25 additions and 33 deletions

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@ -35,21 +35,25 @@ print(s.notnull().sum())
--- ---
<pre>0 True <pre>
0 True
1 True 1 True
2 False 2 False
3 True 3 True
4 False 4 False
dtype: bool</pre> dtype: bool
</pre>
--- ---
<pre>0 False <pre>
0 False
1 False 1 False
2 True 2 True
3 False 3 False
4 True 4 True
dtype: bool</pre> dtype: bool
</pre>
## --video-solution-- ## --video-solution--

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@ -28,27 +28,19 @@ print(a <= 3)
## --answers-- ## --answers--
```python <pre>[False, False, False, False, True]</pre>
[False, False, False, False, True]
```
--- ---
```python <pre>[5]</pre>
[5]
```
--- ---
```python <pre>[0, 1, 2, 3]</pre>
[0, 1, 2, 3]
```
--- ---
```python <pre>[True, True, True, True, False]</pre>
[True, True, True, True, False]
```
## --video-solution-- ## --video-solution--

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@ -27,21 +27,15 @@ a + 20
## --answers-- ## --answers--
```python <pre>[20, 21, 22, 24, 24]</pre>
[20, 21, 22, 24, 24]
```
--- ---
```python <pre>[0, 1, 2, 3, 4]</pre>
[0, 1, 2, 3, 4]
```
--- ---
```python <pre>[25, 26, 27, 28, 29]</pre>
[25, 26, 27, 28, 29]
```
## --video-solution-- ## --video-solution--

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@ -20,11 +20,13 @@ More resources:
What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below? What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below?
<pre> Certificates Time (in months) Certificates per month <pre>
Certificates Time (in months) Certificates per month
Tom 8 16 0.50 Tom 8 16 0.50
Kris 2 5 0.40 Kris 2 5 0.40
Ahmad 5 9 0.56 Ahmad 5 9 0.56
Beau 6 12 0.50</pre> Beau 6 12 0.50
</pre>
## --answers-- ## --answers--

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@ -33,33 +33,33 @@ print(certificates_earned)
## --answers-- ## --answers--
``` <pre>
Tom 8 Tom 8
Kris 2 Kris 2
Ahmad 5 Ahmad 5
Beau 6 Beau 6
dtype: int64 dtype: int64
``` </pre>
--- ---
``` <pre>
Kris 2 Kris 2
Ahmad 5 Ahmad 5
Beau 6 Beau 6
Tom 8 Tom 8
dtype: int64 dtype: int64
``` </pre>
--- ---
``` <pre>
Tom 8 Tom 8
Kris 2 Kris 2
Ahmad 5 Ahmad 5
Beau 6 Beau 6
Name: certificates_earned dtype: int64 Name: certificates_earned dtype: int64
``` </pre>
## --video-solution-- ## --video-solution--