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## if needed, run this and RESTART KERNEL
# import os
# os.environ['R_HOME'] ='/Library/Frameworks/R.framework/Resources'
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%load_ext rpy2.ipython
1. Creating¶
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import numpy as np
namesP=np.array(["Qing", "Françoise", "Raúl", "Bjork","Marie"])
agesP=np.array([32,33,28,30,29])
countryP=np.array(["China", "Senegal", "España", "Norway","Korea"])
educationP=np.array(["Bach", "Bach", "Master", "PhD","PhD"])
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namesP
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%%R
namesR=c("Qing", "Françoise", "Raúl", "Bjork","Marie")
agesR=c(32,33,28,30,29)
countryR=c("China", "Senegal", "España", "Norway","Korea")
educationR=c("Bach", "Bach", "Master", "PhD","PhD")
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%%R
namesR
2. Accessing¶
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# Keep in mind the positions in Python start in **0**.
agesP[0]
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%%R
agesR[1]
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#last element
countryP[-1]
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%%R
tail(countryR,1)
Slices¶
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# several, using slices:
agesP[1:4] #second to fourth
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%%R
agesR[2:4]
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# non consecutive
agesP[[0,2,3]]
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%%R
agesR[c(1,3,4)]
Replacing¶
by Position¶
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countryP[2]="Spain"
# list changed:
countryP
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%%R
countryR[3]="Spain"
# list changed:
countryR
By Value¶
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countryP=np.char.replace(countryP, 'China', 'PR China')
countryP
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%%R
countryR[countryR=='China']="PR China"
countryR
Deleting¶
By Position¶
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countryP=np.delete(countryP,-1)
countryP
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%%R
countryR=countryR[-length(countryR)]
countryR
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# for several positions
vectorP=np.array([1,2,3,4,5,6])
vectorP=np.delete(vectorP,range(1,4))
#now:
vectorP
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%%R
vectorR=c(1,2,3,4,5,6)
vectorR=vectorR[-c(2:4)]
#now:
vectorR
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# non consecutive
byeIndex=[1, 3, 5]
vectorP=np.array([11,22,33,44,55,66])
new_vectorP=np.delete(vectorP,byeIndex)
#now:
new_vectorP
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%%R
vectorR=c(11,22,33,44,55,66)
new_vectorR=vectorR[-c(2,4,6)]
new_vectorR
by Value¶
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# by value
vectorP=np.array([1,3,45,3,3])
vectorP=np.delete(vectorP, np.where(vectorP == 3))
# changed:
vectorP
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%%R
vectorR=c(1,3,45,3,3)
vectorR=vectorR[vectorR!=3]
vectorR
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# by value
vectorP=np.array([1,3,45,3,3])
#vectorP=
vectorP=np.delete(vectorP, np.isin(vectorP,[1,45]))
# changed:
vectorP
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%%R
vectorR=c(1,3,45,3,3)
vectorR=vectorR[!vectorR%in%c(1,45)]
vectorR
Inserting values¶
at the End¶
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vectorP=np.array([1,2,3,4])
vectorP=np.append(vectorP,5)
vectorP
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%%R
vectorR=c(1,2,3,4)
vectorR=c(vectorR,5)
vectorR
in a particular location¶
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vectorP=np.array([1,2,3,4])
vectorP=np.insert(vectorP,obj=1,values=10) #obj is position
vectorP
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%%R
vectorR=c(1,2,3,4)
vectorR=append(vectorR,10,after=1)
vectorR
Concatenating¶
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import numpy as np
vectorP1=np.array([1,2,3,4])
vectorP2=np.array(['a','b'])
vectorP12=np.concatenate((vectorP1,vectorP2))
vectorP12
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%%R
vectorR1=c(1,2,3,4)
vectorR2=c('a','b')
vectorR12=c(vectorR1,vectorR2)
vectorR12
Remember that vectors support just one data type, and coercion will activate when different data types are detected.
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vectorP1=np.array([1,2,3,4,"O"])
vectorP1
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%%R
vectorR1=c(1,2,3,4,"o")
vectorR1