jnzonzidi/-bar_plot_by_python

-Bar_Plot_by_Python

This script performs the following tasks:

Imports Libraries: matplotlib.pyplot is imported as plt to create plots. pandas is imported as pd to handle data, particularly reading Excel files. Reads Excel File: It reads an Excel file named 'SMS.xlsx' located at the specified path into a DataFrame using pd.read_excel() function. This function reads the data from the Excel file and converts it into a DataFrame, which is a tabular data structure. Extracts Data from DataFrame: It extracts data from the DataFrame: The variable x is assigned the values of the first column of the DataFrame, assuming it contains dates. The variable y is assigned the values of the second column of the DataFrame, assuming it contains counts of SMS data. Creates a Bar Plot: It creates a bar plot using plt.bar() function, where x represents the x-axis values (dates) and y represents the y-axis values (SMS counts). Sets Plot Title and Labels: It sets the title of the plot using plt.title(). It sets the labels for x-axis and y-axis using plt.xlabel() and plt.ylabel() respectively. Customizes x-axis Ticks: It rotates the x-axis labels by 45 degrees for better visibility using plt.xticks(rotation=45). Saves the Plot as an Image: It saves the generated plot as an image file named 'population_barchart.png' at the specified path using plt.savefig(). Displays the Plot: It displays the plot using plt.show(). This function shows the plot in a pop-up window. Overall, this script reads data from an Excel file, creates a bar plot based on the data, customizes the plot appearance, saves the plot as an image file, and finally displays the plot.