Answers for "bar graph labels python"

bar labeling in matplotlib

import matplotlib.pyplot as plt
%matplotlib inline
plt.style.use('ggplot')

x = ['Nuclear', 'Hydro', 'Gas', 'Oil', 'Coal', 'Biofuel']
energy = [5, 6, 15, 22, 24, 8]

x_pos = [i for i, _ in enumerate(x)]

plt.bar(x_pos, energy, color='green')
plt.xlabel("Energy Source")
plt.ylabel("Energy Output (GJ)")
plt.title("Energy output from various fuel sources")

plt.xticks(x_pos, x)

plt.show()

bar plot python

import numpy as np
import matplotlib.pyplot as plt
data = [[30, 25, 50, 20],
[40, 23, 51, 17],
[35, 22, 45, 19]]
X = np.arange(4)
fig = plt.figure()
ax = fig.add_axes([0,0,1,1])
ax.bar(X + 0.00, data[0], color = 'b', width = 0.25)
ax.bar(X + 0.25, data[1], color = 'g', width = 0.25)
ax.bar(X + 0.50, data[2], color = 'r', width = 0.25)

bar plot python

import matplotlib.pyplot as plt
import numpy as np
plt.bar(np.arange(0,100),np.arange(0,100))

Grouped bar chart with labels

fig, ax = plt.subplots(figsize=(12, 8))
x = np.arange(len(df.job.unique()))

# Define bar width. We'll use this to offset the second bar.
bar_width = 0.4

# Note we add the `width` parameter now which sets the width of each bar.
b1 = ax.bar(x, df.loc[df['sex'] == 'men', 'count'],
            width=bar_width)
# Same thing, but offset the x by the width of the bar.
b2 = ax.bar(x + bar_width, df.loc[df['sex'] == 'women', 'count'],
            width=bar_width)