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Define a function named plot_serial_numbers to make a histogram of any dataframe of serial numbers. It should take one argument, a dataframe like obs with one column named serial number. It should plot a histogram of the values in the column using bins of width 10 ranging from 1 to 170 but return nothing. Also, the plot must display appropriate x-label, y-label, and title. Then, call that function to make a histogram of the serial numbers in the column serial number of the dataframe obs

User Antenka
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Final answer:

The student is asking to define a Python function for creating a histogram of serial numbers from a dataframe column. The function, named plot_serial_numbers,

Step-by-step explanation:

The student is asking for the definition of a function named plot_serial_numbers in the context of data analysis using Python. This function is intended to create a histogram from a dataframe column named 'serial number'. The specifications for the function include that it should have one argument (the dataframe), use bins of width 10 ranging from 1 to 170, and that it should set appropriate labels for the x-axis, y-axis, and the title but return nothing.

The description implies using a data visualization library like matplotlib or seaborn to create the histogram. To call this function, you would pass the dataframe obs to it after defining the function in a Python environment. Here is how the function could be defined:

import matplotlib.pyplot as plt

def plot_serial_numbers(df):
plt.hist(df['serial number'], bins=range(1, 171, 10))
plt.xlabel('Serial Number')
plt.ylabel('Frequency')
plt.title('Distribution of Serial Numbers')
plt.show()

Then, you would call the function like so:

plot_serial_numbers(obs)

Note that the actual plotting and the dataframe obs are not provided, as the question seems to focus on defining the function and its use.