Display DataFrame with Math Symbol in column headers in Jupyter Notebook - dataframe

Question

I have a DataFrame which I would like to display with the greek names of the aggregate functions.
df=pd.DataFrame(
[["A",1,2],["A",3,4],["B",5,6],["B",7,8]],
columns=["AB","C", "N"]
)
df=df.groupby(df.AB).agg({
"C":["count", "sum", "mean", "std"],
"N":["sum", "mean", "std"]
})
Which looks like:
I would like to produce something that looks like this:
I have been able to produce:
With
import pandas as pd
import matplotlib.pyplot as plt
data = [[str(cell) for cell in row] for row in df.values]
columns = [
r"Count",
r"C $\Sigma$",
r"C $\bar{x}$",
r"C $\sigma$",
r"N $\Sigma$",
r"N $\bar{x}$",
r"N $\sigma$"]
rows = ["A", "B"]
the_table = plt.table(cellText=data,
rowLabels=rows,
colLabels=columns)
the_table.scale(4,4)
the_table.set_fontsize(24)
plt.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)
plt.tick_params(axis='y', which='both', right=False, left=False, labelleft=False)
for pos in ['right','top','bottom','left']:
plt.gca().spines[pos].set_visible(False)
The df.to_latex() feature looks like it could probably do enough for my purposes but it renders as a tabular which is not supported by jupyter.
Thanks to Elliot below, something like this works quite nicely
substitutions = {
"sum":"\u03a3",
"mean":"\u03bc",
"std":"\u03c3",
True:"\u2705",
False:"\u274c",
"count":"N",
}
pretty = df.\
rename(substitutions, axis=0).\
rename(substitutions, axis=1)
and with:
%%HTML
<style type="text/css">
table.dataframe td, table.dataframe th {
border: 1px black solid !important;
color: black !important;
}
th {
text-align: center !important;
}
</style>
Can produce

Answer 1

You could use Unicode characters to get the character headings you'd like, without bothering with to_latex().
If you want the borders you could use to_html with custom options to format the table.