Can't update plot annotations while Blitting is True, but it's too slow when Blitting is False

Question

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.animation as animation

data = pd.read_csv('simulation_data_7.csv', index_col = 0, header=0)

frames, bins = data.shape
HIST_BINS = np.arange(bins - 3)

fig, axs = plt.subplots(ncols=2, nrows=2)
gs = axs[0,0].get_gridspec()

for ax in axs[0,0:]:
    ax.remove()
trades = axs[1,0]
entropy = axs[1,1]
pareto = fig.add_subplot(gs[0, 0:])

pareto.set_ylim(top=100)
pareto.margins(x=0)

p_annotation = pareto.annotate("Iterations: 0", (0.75, 0.75), xycoords='axes fraction', va='center')
t_annotation = trades.annotate("Trades: 0", (0.75, 0.75), xycoords='axes fraction', va='center')
e_annotation = entropy.annotate("Entropy: 0", (0.75, 0.75), xycoords='axes fraction', va='center')

fig.tight_layout()

def update(bar_container):
    
    def animate(frame_number):

        p_annotation.set_text("Iterations: {}".format(frame_number))

        n = np.array(data.iloc[frame_number, HIST_BINS])
        for count, rect in zip(n, bar_container.patches):
            rect.set_height(count)
        return bar_container.patches

    return animate

_, _, bar_container = pareto.hist(data.iloc[0,0:bins-2], HIST_BINS, lw=1, ec="#000000", fc="#FF00FF", alpha=0.5)


ani = animation.FuncAnimation(fig, update(bar_container), frames, repeat=False, blit=True, cache_frame_data = False, interval = 0.04)
plt.show()

I don't think bar_container.patches is compatible with updating text.

I have two questions that are bothering me:

1. I can't update annotations in my plot when blit=True, but it's too slow and clunky when blit=False. How to update annotations while blit=True
2. I grabbed the code from an example, but for the life of me I don't know how frame_number is updated. I read that funcanimation uses the next argument in frames, but how the embedded definition track the frame_number value?