Output:
date 1        date 2        date 3         date 4
height temp  height  temp  height  temp  height  temp
9.3    28.0   8.7     27.6  10.0    26.0   9.5    26.8
9.7    27.3   9.3     26.8  12.8    25.5   10.8   25.9
10.0   26.8   10.8    25.9  13.1    25.3   11.4   25.0
10.6   26.5   12.7    24.4  14.8    24.7   12.9   24.2
12.8   26.0   13.5    23.8  15.2    24.3   13.6   23.4
13.3   25.7   17.8    22.7  16.8    23.7   14.0   22.6
16.8   25.4   18.9    22.4  17.9    23.3   14.7   22.0
17.2   24.6   20.0    21.0  18.6    23.0   15.9   21.3

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors as colors
import csv
import glob
import os


path = "C:/Users/SYIFAAZRA/Documents/belajar_wradlib/Skew-T/New/"
os.chdir(path)

filenames = glob.glob("*.csv")

dfs = []
for f in filenames:
    col_names = ['height', 'temp']
    df = pd.read_csv(f, delimiter=',',skiprows=7, usecols=[11, 21], names=col_names, na_values=['----'])
    df = df.dropna()
    
    max = df.height.idxmax()
    min = df.height.idxmin()
    df = df.loc[min:max, :]
    
    dfs.append(df)
    
df2 = pd.concat(dfs, ignore_index=False, axis=1)


fig = plt.figure()
ax = fig.add_subplot(111)

x = np.linspace(0,100, 50)
y = df['height']
X,Y = np.meshgrid(x, y)
Z = df['temp']
plt.show()