Pandas_Series_Example.py

#install pandas distrubution using conda install pandas or pip install pandas

import numpy as np
import pandas as pd
## SERIES ##
print("#### SERIES ####")

labels = ['a','b','c']
my_data = [10,20,30]
np_arr = np.array(my_data)
d = {'a' : 10, 'b': 20, 'c' : 30}

print("lables as char list : {} mydata as number list: {} numpy array from mydata list: {} and dictionary: {}".format(labels, my_data, np_arr, d))

pd_series = pd.Series(data=my_data)
print(pd_series)

pd_series = pd.Series(data=my_data, index=labels)
print(pd_series)

print(pd.Series(np_arr, labels))#passing numpy array as data works same way
print(pd.Series(d))#passing dictionary

print(pd.Series(data=[ sum, len]))#can use built in function as data reference to function

ser1 = pd.Series([911, 100, 101], ["RESCUE","POLICE","AMBULANCE"])
print(ser1)

ser2 = pd.Series([911, 100, 211], ["RESCUE","POLICE","NA"])

### Indexing Series
print(ser1["AMBULANCE"])

## Operation on Series

print(ser1 + ser2)