dict_reverse_b.py

from timeit import timeit
import plotly.express as px
import pandas as pd


EXPRESSIONS = [
    "{v: k for k, v in data.items()}",
    "dict(zip(data.values(), data.keys()))",
    "new = {}\nfor k, v in data.items(): new[k] = v",
]
NUMBER = 100_000
SET_LEN = 100


df = pd.DataFrame(columns=EXPRESSIONS)

for n, set_l in enumerate(range(SET_LEN)):
    data = {i: i+1 for i in range(1, set_l*2, 2)}
    results = [timeit(expr, globals={"data": data}, number=NUMBER)
               for expr in EXPRESSIONS]
    df.loc[n] = results


fig = px.line(df)
fig.update_layout(xaxis_title="elements count, N",
                  yaxis_title=f"time, s/{NUMBER}")
fig.show()

results.png