hooman
scatter plot
# https://seaborn.pydata.org/examples/different_scatter_variables.html
from hooman import Hooman
import pandas as pd
import os
window_width, window_height = 650, 600
hapi = Hooman(window_width, window_height)
base_path = os.path.dirname(os.path.abspath(__file__))
df = pd.read_csv(os.path.join(base_path, "data", "diamonds.csv"))
data = {k:list(df[k]) for k in df.columns.values.tolist()}
hapi.background(255)
colx = 'carat'
coly = 'price'
clarity_ranking = ["I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"]
hapi.scatterchart(
40,
30,
500,
500,
{
"data": data,
"ticks_y": 8,
"ticks_x": 5,
"mouse_line": False,
"range_y": [min(data[coly]), max(data[coly])],
"range_x": [min(data[colx]), max(data[colx])],
"show_axes": True,
"tick_size": 10,
"show_ticks_x": True,
"show_ticks_y": True,
"x": colx,
"y": coly,
"hue": "clarity",
"hue_order": clarity_ranking,
"size": "depth",
"plot_background": False,
"plot_background_grid": True,
"plot_background_color": (234,234,242),
"plot_background_grid_color": 200,
"line_color": 200
},
)
while hapi.is_running:
bg_col = (255, 255, 255)
hapi.flip_display()
hapi.event_loop()