import matplotlib.pyplot as plt import numpy as np x = np.array(['A', 'B', 'C', 'D', 'E']) y = np.array([50, 30, 70, 80, 60]) plt.bar(x, y, align='center', width=0.5 ...
import matplotlib.pyplot as plt import pandas as pd df = pd.DataFrame({'x': ['A', 'B', 'C', 'D', 'E'], 'y': [50, 30, 70, 80, 60]}) plt.bar(df['x'], df['y'], align ...
Spread the love“`html When it comes to data analysis and visualization, Python stands out as one of the most versatile programming languages available. Whether you’re a data scientist, a student, or ...
As python people, we will be leveraging the plotting library matplotli`b. It is tricky, but once you get the hang of it, it's as easy as pie. Here is a list of the main plots we will be using in the ...
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