To develop a histogram, follow these means −

1. Bin the scope of values.

2. Partition the whole scope of values into a progression of stretches.

3. Count the number of values that fall into every stretch.

The containers are typically indicated as sequential, non-covering time periods variable.

The matplotlib.pyplot.hist(>

work plots a histogram. It processes and draws the histogram of x.

```
from matplotlib import pyplot as plt
import numpy as np
fig,ax = plt.subplots(1,1>
```

a = np.array([22,87,5,43,56,73,55,54,11,20,51,5,79,31,27]>

ax.hist(a, bins = [0,25,50,75,100]>

ax.set_title("histogram of result">

ax.set_xticks([0,25,50,75,100]>

ax.set_xlabel('marks'>

ax.set_ylabel('no. of students'>

plt.show(>