Posts: 15 Threads: 0 Joined: N/A September 13, 2022 at 5:13 PM [align=justify]Bar Label Demo See also the grouped bar, stacked bar and horizontal bar chart examples. [align=justify] import matplotlib.pyplot as plt
import numpy as np
[/align] [/align] Define the data N = 5
menMeans = (20, 35, 30, 35, -27)
womenMeans = (25, 32, 34, 20, -25)
menStd = (2, 3, 4, 1, 2)
womenStd = (3, 5, 2, 3, 3)
ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars: can also be len(x) sequence
Stacked bar plot with error bars fig, ax = plt.subplots()
p1 = ax.bar(ind, menMeans, width, yerr=menStd, label='Men')
p2 = ax.bar(ind, womenMeans, width,
bottom=menMeans, yerr=womenStd, label='Women')
ax.axhline(0, color='grey', linewidth=0.8)
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind, labels=['G1', 'G2', 'G3', 'G4', 'G5'])
ax.legend()
# Label with label_type 'center' instead of the default 'edge'
ax.bar_label(p1, label_type='center')
ax.bar_label(p2, label_type='center')
ax.bar_label(p2)
plt.show()
Horizontal bar chart # 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()
Some of the more advanced things that one can do with bar labels 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=['±%.2f' % e for e in error],
padding=8, color='b', fontsize=14)
ax.set_xlim(right=16)
plt.show()
Posts: 72 Threads: 0 Joined: N/A November 2, 2022 at 3:57 PM thanks man Posts: 7 Threads: 0 Joined: N/A November 2, 2022 at 4:01 PM (September 13, 2022, 05:13 PM)Hatsonyc Wrote: [align=justify]Bar Label Demo See also the grouped bar, stacked bar and horizontal bar chart examples.
[align=justify]import matplotlib.pyplot as plt
import numpy as np
[/align]
[/align]
Define the data
N = 5
menMeans = (20, 35, 30, 35, -27)
womenMeans = (25, 32, 34, 20, -25)
menStd = (2, 3, 4, 1, 2)
womenStd = (3, 5, 2, 3, 3)
ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars: can also be len(x) sequence
Stacked bar plot with error bars
fig, ax = plt.subplots()
p1 = ax.bar(ind, menMeans, width, yerr=menStd, label='Men')
p2 = ax.bar(ind, womenMeans, width,
bottom=menMeans, yerr=womenStd, label='Women')
ax.axhline(0, color='grey', linewidth=0.8)
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind, labels=['G1', 'G2', 'G3', 'G4', 'G5'])
ax.legend()
# Label with label_type 'center' instead of the default 'edge'
ax.bar_label(p1, label_type='center')
ax.bar_label(p2, label_type='center')
ax.bar_label(p2)
plt.show()
Horizontal bar chart # 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()
Some of the more advanced things that one can do with bar labels 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=['±%.2f' % e for e in error],
padding=8, color='b', fontsize=14)
ax.set_xlim(right=16)
plt.show()
thanks Posts: 26 Threads: 0 Joined: N/A November 2, 2022 at 4:14 PM thanx man . Posts: 9 Threads: 0 Joined: N/A November 2, 2022 at 8:30 PM nice work dude |
