“I have generated a histogram graph, graph looks good except on the x-axis ticks are not positioned middle of the bar sometimes the ticks are randomly placed to the edges and center of the bar.

In the screenshot, ticks under the bars are randomly placed but I need ticks to be placed under the bar & its position should exactly mid position like 191.”

def generate_histogram(data_dict):
    result_folder = 'graphs'
    if not os.path.exists(result_folder):
        os.makedirs(result_folder)
    pdf_file = os.path.join(result_folder, '{filename?_{timestamp}.pdf")
   
    with PdfPages(pdf_file) as pdf:
        for key, values in data_dict.items):
            plt.figure(figsize=(25, 20))
            n, bins, patches = plt.hist(values, bins=38, edgecolor="black" , alpha=0.7, rwidth=0.8, botton=0, label=key)
            if key.endswith("Width_in_ps'):
                key_value = "Width in ps"
            if key.endswith(Height_in_mV):
                key_value = "Height in mv"
            plt.xlabel(f' {key_valve}')
            plt.ylabel('Count')
            if key:
                t1 = key.replace("in_ps", ""), replace(" in_m", "")
            plt.title(t1)


            # Calculate tick positions for the y-axis
            max_count = int (max(n))
            # Set y-axis ticks to include 0 and the maximum count
            y_ticks = [0, max_count]
            plt.yticks(y_ticks)

            # Ensure unique x-axis tick values
            unique_values = np.unique(values)
            plt.xticks(unique_values, rotation=45)   #To rotate values on x-axis ticks use thisline

            # Annotate each bar with its count
            for i in range(len(patches)):
                if n[i] != 0:
                plt.text(patches[i].get_x) + patches[i].get_width() / 2, patches[i].get_height()/1,
                  str(int(n[i])), ha='center', color='black') # Centering count on top of the bar

            plt.tight_layout()
            pdt.savefig()
            plt.close()

    print(f"33[92mPDF file '{pdf_file}' has been generated. 33[0m")`

generate_histogram(data_dict)