Question: This is a very unspecific question, but I couldn't find any reasonable help in the internet to complete this project on my on, so I thought here may be somebody who could help me.

I would like to print text (with emojis in it) on a background image with nodejs.

So I'm able to convert text to an image with text-to-image or text2png.
I'm also able to convert an emoji to image data.
But I haven't found a way to print text on an existing (background) image AND even add the emoji image at the right position in between the text.

If you have a solution in an other language for example python, that would be okay too. Then I would only need to get the text from nodes to python, which should not be too complicated.

Answer: 
Since we know that the ticks in a seaborn barplot always start at 0, we can just add the first value of your `revol_util` values to the current ticks in a [`matplotlib.ticker.FuncFormatter`](https://matplotlib.org/api/ticker_api.html#matplotlib.ticker.FuncFormatter), along with your existing `MultipleLocator`.

```
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker

# A fake dataframe
hypothesis1_df = pd.DataFrame({
    'revol_util':np.arange(20, 101, 1),
    'deviation':np.arange(-40, 81, 1.5) + np.random.rand(81)*10.})
hypothesis1_df = hypothesis1_df.set_index('revol_util', drop=False)

ax = sns.barplot(x='revol_util', y='deviation', data=hypothesis1_df)
ax.set(xlabel="Revolving Credit Utilization (%)",
           ylabel="Deviation from Mean (%)",
           title="Credit Utilization and Likelihood of Late Payments\n(20 - 100%)")

ax.xaxis.set_major_locator(ticker.MultipleLocator(10))
ax.xaxis.set_major_formatter(ticker.FuncFormatter(
    lambda x, pos: '{:g}'.format(x + hypothesis1_df['revol_util'].iloc[0])))

plt.show()

```

[![enter image description here](https://i.stack.imgur.com/UlRUE.png)](https://i.stack.imgur.com/UlRUE.png)
Try: `ax.set_xticklabels(hypothesis1_df.index.tolist())`
to manually set the x-axis labels.