bar chart python labels

import pandas as pd # dataframe using frequencies and x_labels from the OP df = pd.DataFrame({'Frequency': frequencies}, index=x_labels) # display(df) Frequency 108300.0 6 110540.0 16 112780.0 75 115020.0 160 117260.0 244 # plot ax = df.plot(kind='bar', figsize=(12, 8), title='Amount Frequency', xlabel='Amount ($)', ylabel='Frequency', legend=False) # annotate ax.bar_label(ax.containers[0], label_type='edge') # pad the spacing between the number and the edge of the figure ax.margins(y=0.1)

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()

Posted by: Guest on February-22-2020

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