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Bar Color and Bar Label

Matplotlib

💎Bohrium官方

发布于 2023-11-13

推荐镜像 :Basic Image:bohrium-notebook:2023-04-07

推荐机型 :c2_m4_cpu

This is an example showing how to control bar color and legend entries using the color and label parameters of bar. Note that labels with a preceding underscore won't show up in the legend.

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[1]

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

fruits = ['apple', 'blueberry', 'cherry', 'orange']

counts = [40, 100, 30, 55]

bar_labels = ['red', 'blue', '_red', 'orange']

bar_colors = ['tab:red', 'tab:blue', 'tab:red', 'tab:orange']

ax.bar(fruits, counts, label=bar_labels, color=bar_colors)

ax.set_ylabel('fruit supply')

ax.set_title('Fruit supply by kind and color')

ax.legend(title='Fruit color')

plt.show()

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This example shows how to use the bar_label helper function to create bar chart labels.

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import numpy as np

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species = ('Adelie', 'Chinstrap', 'Gentoo')

sex_counts = {

'Male': np.array([73, 34, 61]),

'Female': np.array([73, 34, 58]),

}

width = 0.6 # the width of the bars: can also be len(x) sequence

fig, ax = plt.subplots()

bottom = np.zeros(3)

for sex, sex_count in sex_counts.items():

p = ax.bar(species, sex_count, width, label=sex, bottom=bottom)

bottom += sex_count

ax.bar_label(p, label_type='center')

ax.set_title('Number of penguins by sex')

ax.legend()

plt.show()

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Horizontal bar chart

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[4]

# Fixing random state for reproducibility

np.random.seed(19680801)

# Example data

people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')

y_pos = np.arange(len(people))

performance = 3 + 10 * np.random.rand(len(people))

error = np.random.rand(len(people))

fig, ax = plt.subplots()

hbars = ax.barh(y_pos, performance, xerr=error, align='center')

ax.set_yticks(y_pos, labels=people)

ax.invert_yaxis() # labels read top-to-bottom

ax.set_xlabel('Performance')

ax.set_title('How fast do you want to go today?')

# Label with specially formatted floats

ax.bar_label(hbars, fmt='%.2f')

ax.set_xlim(right=15) # adjust xlim to fit labels

plt.show()

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Some of the more advanced things that one can do with bar labels

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fig, ax = plt.subplots()

hbars = ax.barh(y_pos, performance, xerr=error, align='center')

ax.set_yticks(y_pos, labels=people)

ax.invert_yaxis() # labels read top-to-bottom

ax.set_xlabel('Performance')

ax.set_title('How fast do you want to go today?')

# Label with given captions, custom padding and annotate options

ax.bar_label(hbars, labels=[f'±{e:.2f}' for e in error],

padding=8, color='b', fontsize=14)

ax.set_xlim(right=16)

plt.show()

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Bar labels using {}-style format string

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fruit_names = ['Coffee', 'Salted Caramel', 'Pistachio']

fruit_counts = [4000, 2000, 7000]

fig, ax = plt.subplots()

bar_container = ax.bar(fruit_names, fruit_counts)

ax.set(ylabel='pints sold', title='Gelato sales by flavor', ylim=(0, 8000))

ax.bar_label(bar_container, fmt='{:,.0f}')

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Bar labels using a callable

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[7]

animal_names = ['Lion', 'Gazelle', 'Cheetah']

mph_speed = [50, 60, 75]

fig, ax = plt.subplots()

bar_container = ax.bar(animal_names, mph_speed)

ax.set(ylabel='speed in MPH', title='Running speeds', ylim=(0, 80))

ax.bar_label(bar_container, fmt=lambda x: f'{x * 1.61:.1f} km/h')

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Matplotlib

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matplotlib

💎Bohrium官方

更新于 2023-11-13

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