Problem with labelling dendrograms

[sujanthapa1996]

#I am trying to create a dendrogram for my ionomics research and we have thousands of data points. Basically we have 8 different species and I want to figure out if the data for each species cluster with each other or not with the help of dendrogram.

import numpy as np
import pandas as pd
import os
import matplotlib.pyplot as plt
import scipy.cluster.hierarchy as sch
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans
from sklearn.cluster import AgglomerativeClustering

dataset=pd.read_csv("Geneva Ionomics_X_Spec_as_int.csv")

dataset.drop([24,], inplace = True) 

dataset= dataset.iloc[:, 1:]

genotype = pd.get_dummies(dataset, drop_first = True)

dataset.isnull().values.any()

dataset.isnull().sum().sum()

new_dataset = pd.concat([genotype, dataset], axis = 1)

X= new_dataset.iloc[:, :].values

sc= StandardScaler()
X= sc.fit_transform(X)

wss=[]
for i in range (1,11):
    kmeanscluster = KMeans(n_clusters = i, init = 'k-means++')
    kmeanscluster.fit(X)
    kmeanscluster.inertia_
    wss.append(kmeanscluster.inertia_)

plt.plot(range(1,11), wss)

kmeanscluster = KMeans(n_clusters= 5, init = 'k-means++')
kmeanscluster.fit(X)
Y_pred = kmeanscluster.predict(X)

dendogram = sch.dendrogram(sch.linkage(X, method= 'ward', metric = 'euclidean'))
from scipy.cluster import hierarchy
Z = hierarchy.linkage(dataset, 'ward')
h =hierarchy.dendrogram(Z, leaf_rotation=90, leaf_font_size=8, labels=dataset.index)
plt.savefig("dendogram X")

#I have also uploaded a screenshot of the dendrogram with this. I hate to say but I am kind of a beginner and guidance would be great.


#This is the link for the dendrogram