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Fix bivariate #139

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Fix bivariate #139

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yuqizhang99
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Functionality

fix the function of automatically determining the number of bins for temporal chart

@willeppy
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willeppy commented Jul 3, 2023

Can you rebase off main so that ONLY the new commit(s) are in this PR?

When you make the change make sure you branch off main rather than an old branch

@willeppy willeppy self-requested a review July 3, 2023 16:28
@@ -306,19 +296,3 @@ def getTempAggrData(dfName: pd.DataFrame, tempColName: str, quantColName: str, a
tempAggrData = groups.max()
print(json.dumps({"data":tempAggrData.to_dict(), "timestep":timestep}))



def hampel(colData: pd.Series, k=7):
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Rebase off main, this should not get deleted

@@ -282,7 +272,7 @@ def getTempAggrData(dfName: pd.DataFrame, tempColName: str, quantColName: str, a
offsetAliases = ['Y','M','W','D','H','T','S']
i = 0
previousLen = -float("inf")
currentLen = 0
currentLen = len(dfName[tempColName].dt.to_period(offsetAliases[i]).unique())
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What is this doing?

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I find the initial value of currentLen is wrong, which is the reason why the temporal chart sometimes can not determine the number of bins well

@@ -254,16 +253,7 @@ def getTemporalMeta(colData: pd.Series):
result = "descending"
else:
result = "noSort"
vc = colData.value_counts()
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Rebase off main, this should not get deleted

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2 participants