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Retrieving and visualizing sparse DataFrame in Python

I would like to retrieve and visualize some data from a sparse DataFrame using pandas.
Here is what I am doing to try to visualize the first column (merged) and some other columns from the DataFrame in Jupyter Notebook:
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv(“data.csv”)
plt.style.use(‘ggplot’)
plt.figure(figsize=(20,20))
plt.imshow(df.merged.values.reshape(16,1), cmap=plt.cm.gray, aspect=1)
plt.show()

The visualizations are not what I expect.
The first column is almost completely filled:

The dataset is a fixed size, but can potentially become very large.
I’ve read some documentation about Sparse DataFrames, but I don’t know how to make use of it to solve my problem.
Any suggestions?

A:

I want to thank @alexis_laz for pointing me to the sparse-column-package.
Here is an example that uses it to visualize a sparse DataFrame:

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https://colab.research.google.com/drive/1dxAyyhqhXZsLr8vtCFZashI1wMb0XJhI
https://colab.research.google.com/drive/1a7L6Ks_24St7HT5V-USE7BdN6gkZ3sDm
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https://colab.research.google.com/drive/1qPA4GwKsTmz1xXTkNuyFWf-Uv8IZtNHb

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EXC_BAD_ACCESS with NSAutoreleasePool

I have this:
UIApplication *app = [UIApplication sharedApplication];
NSAutoreleasePool *pool = [[NSAutoreleasePool alloc] init];

[app openURL:theURL];
[pool release];

When I launch my application I get EXC_BAD_ACCESS. If I remove the [app openURL:theURL]; line then it works as expected. What am I doing wrong?

A:

I don’t know what the NSAutoreleasePool is, but I think the problem is that the openURL method that you have is not being put in the main queue.
Try putting [pool release]; in the method that does openURL instead of calling it from elsewhere.

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