小编Bio*_*Bio的帖子

我用seaborn创建了一个热图

df1.index = pd.to_datetime(df1.index)
df1 = df1.set_index('TIMESTAMP')
df1 = df1.resample('30min').mean()
ax = sns.heatmap(df1.iloc[:, 1:6:], annot=True, linewidths=.5)

但问题是,当数据帧中有大量数据时,热图太小而且内部的值开始不清楚,如附图中所示.

如何将热图的大小更改为更大？谢谢

编辑

我尝试:

df1.index = pd.to_datetime(df1.index)
fig, ax = plt.subplots(figsize=(10,10))         # Sample figsize in inches
sns.heatmap(df1.iloc[:, 1:6:], annot=True, linewidths=.5, ax=ax)
df1 = df1.set_index('TIMESTAMP')
df1 = df1.resample('1d').mean()
ax = sns.heatmap(df1.iloc[:, 1:6:], annot=True, linewidths=.5)

但我得到这个错误:

KeyError                                  Traceback (most recent call last)
C:\Users\Demonstrator\Anaconda3\lib\site-packages\pandas\indexes\base.py in get_loc(self, key, method, tolerance)
   1944             try:
-> 1945                 return self._engine.get_loc(key)
   1946             except KeyError:

pandas\index.pyx in pandas.index.IndexEngine.get_loc (pandas\index.c:4154)()

pandas\index.pyx in pandas.index.IndexEngine.get_loc (pandas\index.c:4018)()

pandas\hashtable.pyx …

我使用R在一个图中创建4条线。这里的代码

# Define 2 vectors
cars <- c(123.07, 110.51, 96.14, 98.71, 101.3)
trucks <- c(110.31, 89.91, 89.81, 89.31, 93.4, 95.81)
cars1 <- c(123.227, 110.221, 93.14, 98.22, 122.3)
trucks1 <- c(120.31, 89.91, 89.81, 89.31, 93.4, 95.81)
# Graph cars using a y axis that ranges from 0 to 12
plot(cars, type="o", col="blue", ylim=c(80,130))

# Graph trucks with red dashed line and square points
lines(trucks, type="o", pch=22, lty=2, col="red")
lines(cars1, type="o", col="yellow", ylim=c(80,130))

# Graph trucks with red dashed line and square …