<pre><code>import pandas as pd</code></pre>
To convert a list of python dictionaries to a Pandas dataframe
<pre><code>my_dict = \
[{'score': 99, 'time': '5:15', 'year': 2010}, 
{'score': 75, 'time': '8:15', 'year': 2017}, 
{'score': 82, 'time': '12:30', 'year': 2030}]</code></pre>
<pre><code>df = pd.DataFrame(my_dict)
df</code></pre>
<table>
<thead>
<tr>
<th></th>
<th>score</th>
<th>time</th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>99</td>
<td>5:15</td>
<td>2010</td>
</tr>
<tr>
<td>1</td>
<td>75</td>
<td>8:15</td>
<td>2017</td>
</tr>
<tr>
<td>2</td>
<td>82</td>
<td>12:30</td>
<td>2030</td>
</tr>
</tbody>
</table>

A step-by-step Python code example that shows how to convert a list of Python dictionaries to a Pandas dataframe. Provided by Data Interview Questions, a mailing list for coding and data interview problems.

	score	time	year
0	99	5:15	2010
1	75	8:15	2017
2	82	12:30	2030

Convert a list of Python dictionaries to a Pandas dataframe