How do I iterate through data in a panda data frame? - python-3.x

Question

I have created a 5 day moving average for 5 years worth of data. How do I iterate through this to show if the moving average is rising or falling for every single day. My code is simply giving me 1 integer answer rather than a rising (+1) or falling(-1) answer for every day. Thank you!
import pandas as pd
df = pd.read_csv('file:///C:/Users/James Brodie/Desktop/USDJPY.csv', header=1, index_col=0)
ma5 = df['PX_LAST'].rolling(window=5).mean()
ma8 = df['PX_LAST'].rolling(window=8).mean()
ma21 = df['PX_LAST'].rolling(window=21).mean()
ma5x = []
for i in ma5:
if i > i-1:
ma5x = 1
elif i < i-1:
ma5x = -1
else:
ma5x = 0
print(ma5x)
Thank you!

Answer 1

ma5 = [5,2,2,3,3,2,5]
ma5x = []
lastItem = ma5[0]
for currItem in ma5[1:]:
if currItem > lastItem:
ma5x.append(1)
elif currItem < lastItem:
ma5x.append(-1)
else:
ma5x.append(0)
lastItem = currItem
print(ma5x)
gives:
[-1, 0, 1, 0, -1, 1]
The elements of a list are best represented in pandas as a Series object (put own index of choice for rows replacing list(range(len(ma5x))) with anything you need):
print('-----------')
import pandas as pd
pd_ma5x = pd.Series(ma5x, index=list(range(len(ma5x))))
print(pd_ma5x)
gives:
-----------
0 -1
1 0
2 1
3 0
4 -1
5 1
dtype: int64
Using own index be aware that pd_ma5x size is one less than that of ma5