我有以下情节:
已使用以下代码生成:
h1 Word Of The Day
p= wordOfTheDay
br
h1 Word List
ul
each word in words
li= word.keyword
所以我的实际问题是:如何添加风险热图作为背景(与此相同: https://www.latestquality.com/risk-heat-map/)
我已经尝试的东西:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
ttc = pd.read_excel("../XLSX_Files/Baseline_Data.xlsx", sheet_name="Data")["TTC"]
risks = col.OrderedDict(
[("very low", 0), ("low", 0), ("medium-to-low", 0), ("medium", 0), ("high-to-medium", 0), ("high", 0),
("very high", 0)])
---- Part in which risks get filled ---
for x in risks:
risk_distribution.append(float(risks[x]) / len(ttc))
x = np.arange(1, len(risks) + 1)
y = np.arange(0.0, 0.4, 0.05)
xticks = risks.keys()
fig, ax = plt.subplots()
plt.plot(x, risk_distribution)
ax.set_ylim(0, 0.4)
plt.show()
是否有可能在不丢失y维的情况下添加热图?
答案 0 :(得分:1)
您遇到的问题是y刻度不一定匹配。您需要叠加2个共享相同x轴的轴。您可以使用#include <stdio.h>
typedef struct distance{
float feet;
float inches;
} dist;
struct addDistance(struct distance dist1, struct distance dist2){
struct dist3;
dist3.feet = dist1.feet + dist2.feet;
dist3.inches = dist1.inches + dist2.inches;
return dist3;
}
int main(){
dist dist1;
dist dist2;
dist1.feet = 2;
dist2.feet = 3;
dist1.inches = 6;
dist2.inches = 4;
addDistance(dist1, dist2);
}
完成此操作。
matplotlib.axes.Axes.twinx
这里是另一个example。