A pandas extension to explore and handling missing values.
Project description
Pandas missing
Install
pip install pandas-missing
How to use
import pandas as pd
import pandas_missing.Missing
from pandas_missing import *
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_complete()
AttributeError: 'PandasMissing' object has no attribute 'number_complete'
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