Setting an array element with a sequence.The requested array has an inhomogeneous shape after1dimens-CodePudding

I'm trying to do a scatterplot between this 2 variables, but it gives me this error.

ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (18,) inhomogeneous part.

def plot():
    Age_list=[]
    Lactate_list=[]
    for l in range(1,19):
        Age = test[test.ID == l]['age']
        Lactate = (test[test.ID == l]['VO2'].nlargest(n=5).mean())*(80/100)
        Lactate_list.append(Lactate)
        Age_list.append(Age)

    plt.scatter(Age_list, Lactate_list,color='purple')
    a, b = np.polyfit(Age_list, Lactate_list, 1)
    plt.plot(Age_list, a*np.array(Age_list) b)
    plt.xlabel('Age')
    plt.ylabel('Lactate threshold')
    plt.title('Correlation between Age and Lactate threshold')
    plt.show()

If i print then length of Age_list and Lactate_list it gives the same length. I don't understand what is the problem. The lactate is 80% of what is inside the parenthesis. Is it ok how I did it?

CodePudding user response：

The error is being thrown because the elements of the Age_list and Lactate_list are not arrays with the same shape. The elements of the Age_list are series, while the elements of the Lactate_list are scalars.

try this instead

def plot():
age_list = []
lactate_list = []
for l in range(1, 19):
    age = test[test.ID == l]['age'].values[0]
    lactate = (test[test.ID == l]['VO2'].nlargest(n=5).mean())*(80/100)
    lactate_list.append(lactate)
    age_list.append(age)

plt.scatter(age_list, lactate_list, color='purple')
a, b = np.polyfit(age_list, lactate_list, 1)
plt.plot(age_list, a*np.array(age_list)   b)
plt.xlabel('Age')
plt.ylabel('Lactate Threshold')
plt.title('Correlation between Age and Lactate Threshold')
plt.show()