[Python] Pivot function results differ from TradingView

I'm using this code to calculate pivot points.

def pivots_low(osc, LBR, LBL):
pivots = []
for i in range(len(osc) - LBR):
pivots.append(0)
pivot = True
if i > LBL:
for j in range(1, LBR + 1):
if osc >= osc[i + j]:
pivot = False
for j in range(1, LBL + 1):
if osc > osc[i - j]:
pivot = False
if pivot is True:
pivots[len(pivots) - 1] = osc
for i in range(LBR):
pivots.append(0)
return pivots


This returns an array with 0's where there's no pivots and the value of the pivot if there is one.

When Comparing the results to TradingView (downloaded csv with pivot points), the only time it matches exactly is when lookback left and right are both 5. Otherwise it deviates in the number of total pivots and the location of some.

But using this code to calculate pivot highs:

def pivots_high(osc, LBR, LBL):
pivots = []
for i in range(len(osc)-LBR):
pivots.append(0)
pivot = True
if i > LBL:
for j in range(1,LBL + 1):
if osc < osc[i-j]:
pivot = False
for j in range(1,LBR + 1):
if osc <= osc[i+j]:
pivot = False
if pivot is True:
pivots[len(pivots)-1] = osc
for i in range(LBR):
pivots.append(0)
return pivots


the results are perfect regardless of lookback values. But the code is almost exactly the same besides comparison.

What is going wrong here? This is day 3 of having this problem and I just cant fix it

To Reproduce:

Load Data:

Full_Data = pd.read_csv(file)


use this simple function to check matches between calculated pivots and TradingView pivots.

def match_pivs(data, pivs_h, pivs_l): //Data is a DataFrame loaded from tradingview csv
global lblh
global lbrh
global lbll
global lbrl
start = lbrh
if lbrl > lbrh:
start = lbrl
match_h = 0
tot_hd = 0
tot_hp = 0
match_l = 0
tot_ld = 0
tot_lp = 0
for i in range(start, len(data)):
if data['PivHigh'] != 0 and pivs_h[i-lbrh] != 0:
match_h += 1
if data['PivLow'] != 0 and pivs_l[i-lbrl] != 0:
match_l += 1
if data['PivHigh'] != 0:
tot_hd += 1
if data['PivLow'] != 0:
tot_ld += 1
if pivs_h != 0:
tot_hp += 1
if pivs_l != 0:
tot_lp += 1
print('PivsLow ' + str(tot_lp))
print('DataLows ' + str(tot_ld))
print('MatchesL ' + str(match_l))
print('PivsHigh ' + str(tot_hp))
print('DataHighs ' + str(tot_hd))
print('MatchesH ' + str(match_h))


and to get csv from TradingView:

//@version=5
indicator("Data Script", overlay=true, max_labels_count=500)

leftLenL = input.int(title="Pivot Low", defval=10, minval=1, inline="Pivot Low", group=lengthGroupTitle)
rightLenL = input.int(title="/", defval=10, minval=1, inline="Pivot Low", group=lengthGroupTitle)
leftLenH = input.int(title="Pivot High", defval=10, minval=1, inline="Pivot High", group=lengthGroupTitle)
rightLenH = input.int(title="/", defval=10, minval=1, inline="Pivot High", group=lengthGroupTitle)
ph = ta.pivothigh(leftLenH, rightLenH)
pl = ta.pivotlow(leftLenL, rightLenL)
if not na(ph)
plth := ph
else
plth := 0.0
if not na(pl)
pltl := pl
else
pltl := 0.0
plot(plth, 'PivHigh')
plot(pltl, 'PivLow')


then just download csv with this script loaded.

Run program with these three lines:

pl = pivots_low(Full_Data['low'], lbll, lbrl)
ph = pivots_high(Full_Data['high'], lbrh, lblh)
match_pivs(Full_Data, ph, pl)

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