#

#print("\n"*100)

# Import packages
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import os

plt.close("all")
df=pd.read_csv("Iris.csv")
#print(df.iloc[0,:])
#irisfile.keys()=([a,b,c,d])
#irisfile.columns=["a","b","c","d","e"]

#print(df.head())
#print(irisfile.describe())
#plt.hist(irisfile['sepal length in cm'])
y=len(df['sepal length in cm'])
#print(y)

#plt.scatter(range(y),df['sepal length in cm'], marker='D', color='red' )
#np.mean(irisfile['sepal length in cm'])

plt.close("all")
#plt.boxplot(df['sepal length in cm'])

#df.iloc[1:3,1] = np.nan
#print(df.isnull().sum())
#print(df.sum())

#print(df.columns[1].isspace())
#
#df=df.rename(columns={'sepal length in cm':'  sepal length in cm'})
#print((df.columns[1]).isspace())


#print(df.head())
print(df.get_dtype_counts())

##df=df.dropna(axis=1)
#print(df.head())
#x=df.cov(min_periods=None)
#plt.hist(df.iloc[:,0])
#plt.show()
#df=df.dropna()
#plt.hist(df.iloc[:,1])
#plt.hist(df.iloc[:,3])