missingno

library0.5.2pypypi✓ verified 85d ago

Missingno is a Python library, version 0.5.2, designed for visualizing missing data in datasets. It offers a small toolset of flexible and easy-to-use visualizations including matrix, bar, heatmap, and dendrogram plots, allowing users to quickly gain a visual summary of data completeness. It is actively maintained with recent releases addressing compatibility and adding features.

data

pip install missingno

github ↗package ↗

INSTALL

IMPORT

SIG · MISSINGNO

missingno

datapythonv0.5.2

Install

15.3s avg

Import

5291ms

Disk

398MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.5.2 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.920 runs

installs and imports cleanly · install 0.0s · import 5.431s · 395.4MB

glibc

py 3.10–3.920 runs

installs and imports cleanly · install 15.3s · import 5.151s · 379MB

398MB installed

● package 398MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

missingno

✓ import missingno as msno

pandas

✓ import pandas as pd

numpy

✓ import numpy as np

This quickstart demonstrates how to create a Pandas DataFrame with simulated missing values and then visualize them using `missingno.matrix` and `missingno.bar`. The matrix plot provides a visual summary of missing data patterns, while the bar chart shows the count of non-null values per column.

import pandas as pd import numpy as np import missingno as msno import matplotlib.pyplot as plt # Create a sample DataFrame with missing values data = { 'A': [1, 2, np.nan, 4, 5], 'B': [np.nan, 2, 3, 4, np.nan], 'C': [1, 2, 3, np.nan, 5], 'D': [1, 2, 3, 4, 5] } df = pd.DataFrame(data) print("DataFrame with missing values:") print(df) print("\nMissingno Matrix Visualization:") # Generate a missingness matrix plot msno.matrix(df, figsize=(8, 4)) plt.title('Missing Data Matrix') plt.show() print("\nMissingno Bar Chart Visualization:") # Generate a bar chart of missingness msno.bar(df, figsize=(8, 4)) plt.title('Missing Data Bar Chart') plt.show()

Debug

Known issues

breakingThe `geoplot` method and the `inline` parameter for visualizations were removed in `missingno` version 0.5.0. Code relying on these will break.

fix

Remove calls to `msno.geoplot()` and the `inline` parameter. For geospatial analysis, consider using `geopandas` directly or an alternative visualization.

affects: >=0.5.0

deprecatedThe `sort` parameter's behavior changed significantly and was removed from `dendrogram` and `geoplot` in version 0.4.2. Using it in older ways for these plots will not work as expected or raise errors in newer versions.

fix

Review `missingno` documentation for current `sort` parameter usage. If specifically using `dendrogram`, remove the `sort` parameter as it's no longer supported.

affects: >=0.4.2

gotchaOlder versions of `missingno` (prior to 0.5.2) may experience compatibility issues with newer versions of `matplotlib`, leading to visual glitches or errors.

fix

Upgrade `missingno` to version 0.5.2 or later: `pip install --upgrade missingno`.

affects: <0.5.2

gotchaWhen using the `ax` parameter to plot `msno.matrix` onto a `matplotlib.axes.Axes` object, the `sparkline` parameter is not supported and will be ignored or cause issues.

fix

Avoid using the `sparkline` parameter when passing an `ax` object to `msno.matrix`.

affects: >=0.4.2

gotchaMissingno is primarily designed to work with Pandas DataFrames. Attempting to use it directly with other data structures (e.g., raw NumPy arrays or lists) will require conversion to a DataFrame first.

fix

Ensure your data is a Pandas DataFrame before passing it to `missingno` functions.

affects: All versions

Errors

Common errors & fixes

AttributeError: module 'missingno' has no attribute 'geoplot'

The `geoplot` method was removed in `missingno` version 0.5.0.

fix

Remove the call to `msno.geoplot()`. For geospatial data, use a dedicated library like `geopandas`.

TypeError: matrix() got an unexpected keyword argument 'inline'

The `inline` parameter was removed from `missingno` visualization functions in version 0.5.0.

fix

Remove the `inline=True` or `inline=False` argument from your `missingno` function calls.

TypeError: bar() got an unexpected keyword argument 'sort'

The `sort` parameter's functionality and acceptance for certain plot types like `dendrogram` (and implicitly `bar` in older contexts) changed or was removed in `missingno` version 0.4.2.

fix

Check the documentation for the specific `missingno` plot function. For `dendrogram`, remove the `sort` parameter entirely. For `bar`, ensure your `sort` parameter aligns with current valid options (e.g., 'ascending', 'descending').

ValueError: Invalid 'kind' argument for plot_nullity. Must be one of ['matrix', 'bar', 'heatmap', 'dendrogram'].

Attempting to call a non-existent or misspelled plot kind, possibly from older documentation or misremembered functionality.

fix

Ensure the plot function name is correct (e.g., `msno.matrix()`, `msno.bar()`, `msno.heatmap()`, `msno.dendrogram()`). The library does not have a generic `plot_nullity` function with a `kind` argument.

Upgrade

Version history

0.5.2latest on PyPI · released Feb 26, 2023

Audit

Dependencies

pandasrequiredRequired for DataFrame manipulation and data structures.

matplotlibrequiredRequired for generating all visualizations.

geopandasoptionalOptional dependency for certain geospatial plotting functionalities, although the 'geoplot' method was removed in v0.5.0.

geoplotoptionalOptional dependency for certain geospatial plotting functionalities, though the 'geoplot' method was removed in v0.5.0.

shapelyoptionalOptional dependency, typically used with geopandas for geometric operations.

Agent activity

5 hits · last 30 days

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Resources

githubhttps://github.com/ResidentMario/missingno ↗

packagehttps://pypi.org/project/missingno/ ↗