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Plotting in Python: Histogram
Plotting in Python
Basic Plot and formatting
Subplot, Multiplot
Colormaps in Plots
Bar Plot
Pie Chart
Histogram
Quiver plot to show Vector Fields
Stream plot to Visualize Flow Data
Polar, Parametric Plot
Contour Plot
3D Plot
Density Plot
Animated Plot
Miscellaneous
Histogram: Program 1
Basic Histogram
import matplotlib.pyplot as plt import numpy as np data = np.random.randn(1000) plt.hist(data, bins=30, color='blue', edgecolor='black') plt.title('Basic Histogram') plt.xlabel('Value') plt.ylabel('Frequency') plt.savefig('histogram_1.png')
Run Code
Output 1
Histogram: Program 2
Histogram with Density Plot
import matplotlib.pyplot as plt import numpy as np data = np.random.randn(1000) plt.hist(data, bins=30, density=True, color='purple', edgecolor='black', alpha=0.6) plt.title('Histogram with Density Plot') plt.xlabel('Value') plt.ylabel('Density') plt.savefig('histogram_4.png')
Run Code
Output 2
Histogram: Program 3
Histogram with custom bin size
import matplotlib.pyplot as plt import numpy as np data = np.random.randn(1000) plt.hist(data, bins=[-3, -2, -1, 0, 1, 2, 3], color='green', edgecolor='black') plt.title('Histogram with Custom Bin Sizes') plt.xlabel('Value') plt.ylabel('Frequency') plt.savefig('histogram_2.png') plt.show()
Run Code
Output 3
Histogram: Program 4
Cumulative Histogram
import matplotlib.pyplot as plt import numpy as np data = np.random.randn(1000) plt.hist(data, bins=30, cumulative=True, color='red', edgecolor='black') plt.title('Cumulative Histogram') plt.xlabel('Value') plt.ylabel('Cumulative Frequency') plt.savefig('histogram_5.png')
Run Code
Output 4
Histogram: Program 5
Histogram with Different Colors
import matplotlib.pyplot as plt import numpy as np data = np.random.randn(1000) plt.hist(data, bins=30, color='teal', edgecolor='black', alpha=0.7) plt.title('Histogram with Different Colors') plt.xlabel('Value') plt.ylabel('Frequency') plt.savefig('histogram_6.png')
Run Code
Output 5
Histogram: Program 6
Horizontal Histogram
import matplotlib.pyplot as plt import numpy as np data = np.random.randn(1000) plt.hist(data, bins=30, orientation='horizontal', color='cyan', edgecolor='black') plt.title('Horizontal Histogram') plt.xlabel('Frequency') plt.ylabel('Value') plt.savefig('histogram_7.png')
Run Code
Output 6
Histogram: Program 7
Histogram with Log Scale
import matplotlib.pyplot as plt import numpy as np data = np.random.lognormal(mean=0, sigma=1, size=1000) plt.hist(data, bins=30, color='magenta', edgecolor='black') plt.yscale('log') plt.title('Histogram with Log Scale') plt.xlabel('Value') plt.ylabel('Frequency (log scale)') plt.savefig('histogram_8.png')
Run Code
Output 7