Creating a DataFrame from a list of float values

Question

I have a list containing float values and I want to make a DataFrame out of it. But I am getting an error TypeError: 'float' object is not iterable

    '''python   
       newlist = []
       for i in path.toolpath:   
            newlist = [i.x, i.y,i.z, i.e, i.moveSpd]
            labels = ['x_coordinate' , 'y_coordinate', 'z_coordinate', 'e', 'speed'] 
       df1 = pd.DataFrame.from_records(newlist, columns = labels)
       print(df1)
    '''

A part of newlist is as follows.
    [-40.8629, 2.28, 44.3492, 1698.7625, 300]
    [-40.788, 2.28, 43.352, 1699.0625, 300]
    [-40.7131, 2.28, 42.3548, 1699.3625, 300]
    [-40.6382, 2.28, 41.3576, 1699.6625, 300]
    [-40.5633, 2.28, 40.3604, 1699.9625, 300]

Answer 1

your new_list variable is getting overwritten, you need to append the value. Like this

newlist = []
for i in path.toolpath:   
    temp = [i.x, i.y,i.z, i.e, i.moveSpd]
    new_list.append(temp)
labels = ['x_coordinate' , 'y_coordinate', 'z_coordinate', 'e', 'speed'] 
df1 = pd.DataFrame(newlist, columns = labels)
print(df1)