如何通过 python 3.7 中的 dataframe 列表迭代 function

Question

I have a list of DataFrames ie data = [df1,df2,df3.....dfn]. I am trying to iterate function maxloc through list of data and appending new values to new_max. It gives me following error TypeError: 'int' object is not iterable. How can I fix it?

def max(data): 
    data['loc_max'] = np.zeros(len(data))
    for i in range(1,len(data)-1):  
        if data['value'][i] >= data['value'][i-1] and data['value'][i] >= data['value'][i+1]:
            data['loc_max'][i] = 1
    return data 
def maxloc(data):
    loc_opt_ind = argrelextrema(df['values'].values, np.greater)
    loc_max = np.zeros(len(data))
    loc_max[loc_opt_ind] = 1
    data['loc_max'] = loc_max
    return data
new_max= []
for df in range(len(data)):
    max_values = maxloc(df).loc_max
    new_max.append(max_values)

Answer 1

When you use:

for df in range(len(data)):
    # your loop

your df is just intgers, you should use this loop instea:

for df in data:
    # your loop