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)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)bar plot matplotlib
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_axes([0,0,1,1])
langs = ['C', 'C++', 'Java', 'Python', 'PHP']
students = [23,17,35,29,12]
ax.bar(langs,students)
plt.show()matplotlib bar chart
import matplotlib.pyplot as plt
# Create a Simple Bar Plot of Three People's Ages
# Create a List of Labels for x-axis
names = ["Brad", "Bill", "Bob"]
# Create a List of Values (Same Length as Names List)
ages = [9, 5, 10]
# Make the Chart
plt.bar(names, ages)
# Show the Chart
plt.show()bar chart in python
import numpy as npimport matplotlib.pyplot as plt# data to plotn_groups = 4means_frank = (90, 55, 40, 65)means_guido = (85, 62, 54, 20)# create plotfig, ax = plt.subplots()index = np.arange(n_groups)bar_width = 0.35opacity = 0.8rects1 = plt.bar(index, means_frank, bar_width,alpha=opacity,color='b',label='Frank')rects2 = plt.bar(index + bar_width, means_guido, bar_width,alpha=opacity,color='g',label='Guido')plt.xlabel('Person')plt.ylabel('Scores')plt.title('Scores by person')plt.xticks(index + bar_width, ('A', 'B', 'C', 'D'))plt.legend()plt.tight_layout()plt.show()bar chart in python
import matplotlib.pyplot as plt; plt.rcdefaults()import numpy as npimport matplotlib.pyplot as pltobjects = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')y_pos = np.arange(len(objects))performance = [10,8,6,4,2,1]plt.bar(y_pos, performance, align='center', alpha=0.5)plt.xticks(y_pos, objects)plt.ylabel('Usage')plt.title('Programming language usage')plt.show()Copyright © 2021 Codeinu
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