df=sns.load_dataset('iris')# --- Use the 'palette' argument of seabornsns.lmplot(x="sepal_length",y="sepal_width",data=df,fit_reg=False,hue='species',legend=False,palette="Set1");plt.legend(loc='lower right')# --- Use a handmade palette 自定义颜色板flatui=["#9b59b6","#3498...
sns.lmplot( x='x', y='y', data=df, fit_reg=False, hue='x', legend=False, palette="Blues"); # reverse palette sns.lmplot( x='x', y='y', data=df, fit_reg=False, hue='x', legend=False, palette="Blues_r"); 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 1...
=4: print("<binary> <procs> <step> <dirpath>") exit() procs=int(sys.argv[1]) # for each procs, the operations are executed multiple steps step=sys.argv[2] dirPath=sys.argv[3] rank0_start_time=0 figsize_x = 16 bar_height=0.5 # give some place for legend figsize_y = pro...
import os import sys import argparse import torch import pandas as pd import seaborn as sns import matplotlib.pyplot as plt sns.set_context("paper", font_scale=1) colors = sns.color_palette("colorblind", 8) fig, ax = plt.subplots(figsize=(12,8)) if __name__ == '__main__': ...