Answers for "bar plot python pandas"

4

plotting a bar chart with pandas

df = pd.DataFrame({'lab':['A', 'B', 'C'], 'val':[10, 30, 20]})
ax = df.plot.bar(x='lab', y='val', rot=0)
Posted by: Guest on May-12-2021
1

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)
Posted by: Guest on August-06-2021
-1

bar plot python

import matplotlib.pyplot as plt
import numpy as np
plt.bar(np.arange(0,100),np.arange(0,100))
Posted by: Guest on March-21-2020

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