Plotine-1

Sat 17 May 2025

title: "Plotline Simple" author: "Rj" date: 2019-05-06 description: "List Test" type: technical_note draft: false

import pandas as pd
import numpy as np

from plotnine import *

%matplotlib inline

df = pd.DataFrame({
    'variable': ['gender', 'gender', 'age', 'age', 'age', 'income', 'income', 'income', 'income'],
    'category': ['Female', 'Male', '1-24', '25-54', '55+', 'Lo', 'Lo-Med', 'Med', 'High'],
    'value': [60, 40, 50, 30, 20, 10, 25, 25, 40],
})
df['variable'] = pd.Categorical(df['variable'], categories=['gender', 'age', 'income'])

df

	variable	category	value
0	gender	Female	60
1	gender	Male	40
2	age	1-24	50
3	age	25-54	30
4	age	55+	20
5	income	Lo	10
6	income	Lo-Med	25
7	income	Med	25
8	income	High	40

(ggplot(df, aes(x='variable', y='value', fill='category'))
 + geom_col()
)

png

<ggplot: (-9223372036571546280)>

(ggplot(df, aes(x='variable', y='value', fill='category'))
 + geom_bar(stat='identity', position='dodge'))

png

<ggplot: (316768548)>

dodge_text = position_dodge(width=0.9)                              # new

(ggplot(df, aes(x='variable', y='value', fill='category'))
 + geom_bar(stat='identity', position='dodge', show_legend=False)   # modified
 + geom_text(aes(y=-.5, label='category'),                          # new
             position=dodge_text,
             color='gray', size=8, angle=45, va='top')
 + lims(y=(-5, 60))                                                 # new
)

/Users/rajacsp/anaconda3/envs/py36/lib/python3.6/site-packages/plotnine/layer.py:517: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)
  return not cbook.iterable(value) and (cbook.is_numlike(value) or

png

<ggplot: (316729208)>

Score: 5

Category: plot