A pandas extension to explore and handling missing values.
Project description
Pandas missing
Install
pip install pandas-missing
or
conda install -c jvelezmagic pandas_missing
How to use
import pandas as pd
import pandas_missing
df = pd.DataFrame.from_dict(
{
"number": range(0, 15)
}
)
df.iloc[3:6, :] = None
df
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
number | |
---|---|
0 | 0.0 |
1 | 1.0 |
2 | 2.0 |
3 | NaN |
4 | NaN |
5 | NaN |
6 | 6.0 |
7 | 7.0 |
8 | 8.0 |
9 | 9.0 |
10 | 10.0 |
11 | 11.0 |
12 | 12.0 |
13 | 13.0 |
14 | 14.0 |
df.missing.number_missing()
3
df.missing.number_complete()
12
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pandas_missing-0.0.11.tar.gz
(10.2 kB
view hashes)
Built Distribution
Close
Hashes for pandas_missing-0.0.11-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b26b69f99b3d9747563cbf270559e4e7c3f059772855af6ea81c271c91019184 |
|
MD5 | 54489c3b5f06388659b142ab23d0cb53 |
|
BLAKE2b-256 | 091cef8847d3f23fd9e2a9624375ff045355bf123f82acb45ee507ee41230a59 |