🌐 Miscellaneous utilities to accompany pygridgen
Real probability scales for matplotlib
🌧 Simple weather data visualization and downloads
Data and python tools to analyze my thesis data
Simple weather data visualization and downloads
Fortran-based grid utilities for EFDC models
The missing package manager for OS X.
Declarative statistical visualization library for Python
Don't pull your hair out with arcpy
issue commentmatplotlib/matplotlib
Plotting a pandas DataFrame with string MultiIndex
@mwaskom is that a boxplot of the column labels?
comment created time in 24 days
issue commentmatplotlib/matplotlib
Plotting a pandas DataFrame with string MultiIndex
Perhaps, but there's still a question of what to do with the labels. There's literally no limit to how level there might be.
If we punt and tell the use to provide labels, there no promise that the labels and columns of the array line up.
I'm not saying this isn't possible, or even that we shouldn't, But I think this is a complex topic and there are solutions in the ecosystem that already exist
comment created time in 25 days
issue commentmatplotlib/matplotlib
Plotting a pandas DataFrame with string MultiIndex
Potential scope creep of an API that handles hierarchical index objects:
- default formating (string joining) of the labels
- grouped sections
- mapping levels as facets (e.g., colors, symbols) of the plots.
AFAICT, seaborn went down this road and decided to not mess with hierarchical indexes.
A more sensible approach in pandas:
df.groupby(level='second').boxplot()
Here's how I'd do this in seaborn:
ax = (
df.rename_axis(columns='third')
.stack()
.to_frame('value')
.reset_index()
.pipe(
(seaborn.boxplot, 'data'),
x='third', y='value', hue='second'
)
)
And then here's good ol' Hobson-style horror code:
import numpy
import pandas
from matplotlib import pyplot
from matplotlib import cbook
arrays = [
['bar', 'baz', 'foo', 'qux'],
['one', 'two']
]
cols = ['un', 'deux', 'trois', 'quatre', 'cinq']
index = pandas.MultiIndex.from_product(arrays, names=['first', 'second'])
data = numpy.random.randn(8,5)
df = pandas.DataFrame(data, index=index, columns=cols)
stats = (
df.rename_axis(columns='third')
.stack()
.to_frame('value')
.reset_index()
.groupby(['second', 'third'], sort=False)['value']
.apply(lambda g: pandas.Series(cbook.boxplot_stats(g)).loc[0])
.unstack(level=-1)
.assign(label=lambda df: df.index.map(lambda x: '\n&\n'.join(x)))
.reset_index(drop=True)
.pipe(lambda df: [row.to_dict() for _, row in df.iterrows()])
)
fig, ax = pyplot.subplots()
bp_artists = ax.bxp(stats)
comment created time in 25 days
issue commentmatplotlib/matplotlib
Plotting a pandas DataFrame with string MultiIndex
Even if it's simple to get the values out, I'm not terribly interested in support multi-index rows or columns in pandas DataFrames.
I would argue that out of the box, pandas doesn't do awesome handling labels:
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Dependency Analysis
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Analysis of the source code shows a discrepancy between the library's imports and the package's stated requirements in the meta.yaml.
Packages found in the meta.yaml but not found by inspection:
- pytest
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