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fix heatmap when spacing in not equal 

Histogram2d was binning data, even if axes values were not
on a linear scale, creating some strange figures. We
do not need the binning here.

Signed-off-by: Csaba Kiraly <csaba.kiraly@gmail.com>
This commit is contained in:
Csaba Kiraly 2023-07-12 21:15:08 +02:00
parent 562ef5122f
commit 0dfbace655
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GPG Key ID: 0FE274EE8C95166E
1 changed files with 3 additions and 3 deletions
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6
DAS/visualizer.py
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@ -4,6 +4,7 @@ import time
import xml.etree.ElementTree as ET
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from itertools import combinations
from mplfinance.original_flavor import candlestick_ohlc
@ -197,10 +198,9 @@ class Visualizer:
ylabels = np.sort(np.unique(data[key][labels[1]]))
if len(xlabels) < self.minimumDataPoints or len(ylabels) < self.minimumDataPoints:
continue
hist, xedges, yedges = np.histogram2d(data[key][labels[0]], data[key][labels[1]], bins=(len(xlabels), len(ylabels)), weights=data[key]['ttas'])
hist = hist.T
df = pd.DataFrame.from_dict(data[key]).pivot(labels[0], labels[1], 'ttas')
fig, ax = plt.subplots(figsize=(10, 6))
sns.heatmap(hist, xticklabels=xlabels, yticklabels=ylabels, cmap='hot_r', cbar_kws={'label': 'Time to block availability (ms)'}, linecolor='black', linewidths=0.3, annot=True, fmt=".2f", ax=ax, vmin=vmin, vmax=vmax)
sns.heatmap(df, cmap='hot_r', cbar_kws={'label': 'Time to block availability (ms)'}, linecolor='black', linewidths=0.3, annot=True, fmt=".2f", ax=ax) #vmin=vmin, vmax=vmax
plt.xlabel(self.formatLabel(labels[0]))
plt.ylabel(self.formatLabel(labels[1]))
filename = ""