PandasGetting Started
Installation of Pandas
If you havePython andPIP already installed on a system, then installation of Pandas is very easy.
Install it using this command:
If this command fails, then use a python distribution that already has Pandas installed like, Anaconda, Spyder etc.
Import Pandas
Once Pandas is installed, import it in your applications by adding theimport
keyword:
Now Pandas is imported and ready to use.
Example
mydataset = {
'cars': ["BMW", "Volvo", "Ford"],
'passings': [3, 7, 2]
}
myvar = pandas.DataFrame(mydataset)
print(myvar)
Pandas as pd
Pandas is usually imported under thepd
alias.
alias: In Python alias are an alternate name for referring to the same thing.
Create an alias with theas
keyword while importing:
Now the Pandas package can be referred to aspd
instead ofpandas
.
Example
mydataset = {
'cars': ["BMW", "Volvo", "Ford"],
'passings': [3, 7, 2]
}
myvar = pd.DataFrame(mydataset)
print(myvar)
Checking Pandas Version
The version string is stored under__version__
attribute.