def normal_bar(df='dataframe', x_col_name=None, y_col_name=None, dim=(6, 4), bw=0.4, colorbar="#f2aa4cff", r=300,
               ar=(0, 0), valphabar=1, show=False, ylm=None, axtickfontsize=9, axtickfontname='Arial',
               ax_x_ticklabel=None, axlabelfontsize=9, axlabelfontname='Arial', axxlabel=None, axylabel=None,
               figtype='png', figname='normal_bar', theme=None):
    # set axis labels to None
    _x = None
    _y = None
    xbar = np.arange(len(df[x_col_name]))
    if theme == 'dark':
        general.dark_bg()
    plt.subplots(figsize=dim)
    plt.bar(x=xbar, height=df[y_col_name], width=bw, color=colorbar, alpha=valphabar)
    if ax_x_ticklabel:
        x_ticklabel = ax_x_ticklabel
    else:
        x_ticklabel = df[x_col_name].to_numpy()
    plt.xticks(ticks=xbar, labels=x_ticklabel, fontsize=axtickfontsize, rotation=ar[0], fontname=axtickfontname)
    if axxlabel:
        _x = axxlabel
    if axylabel:
        _y = axylabel
    general.axis_labels(_x, _y, axlabelfontsize, axlabelfontname)
    general.get_figure(show, r, figtype, figname, theme)