CODEWITHSUNDEEP
pythonpython-3.xdataframematplotlib
user11965480
user11965480

Reputation:

Value Error: Label must be of length 'x' python 3

I know there is some similar question asked, but i have test all the solution and it still give me the same error which is Value error: Label must be of length 'x'. Below is snippets of the code and data set in case needed.

data=[['E001', 'M', 34, 123,'Normal',350],
      ['E002', 'F', 40, 114, 'Overweight', 450],
      ['E003', 'F', 37, 135, 'Obesity', 169],
      ['E004', 'M', 30, 139, 'Underweight',189],
      ['E005', 'F', 44, 117, 'Underweight',183],
      ['E006', 'M', 36, 121, 'Normal', 80],
      ['E007', 'M', 33, 133, 'Obesity', 166],
      ['E008', 'F', 26, 140, 'Normal', 120],
      ['E009', 'M', 32, 133, 'Normal', 75],
      ['E0010','M', 36, 133, 'Underweight', 40]]

df=pd.DataFrame(data,columns=['EMPID','Gender','Age','Sales','BMI','Income'])

label=list(df.columns.values)
print(label)
plt.pie(df['Age'],labels=label,autopct='%1.1f%%', shadow=True)
plt.show()

Upvotes: 0

Views: 3894

Answers (2)

smaxwell
smaxwell

Reputation: 89

Your df["age"] need to be the same length as your labels list. Run this code below and see how it works.

import pandas as pd
import matplotlib.pyplot as plt

data=[['E001', 'M', 34, 123,'Normal',350],
          ['E002', 'F', 40, 114, 'Overweight', 450],
          ['E003', 'F', 37, 135, 'Obesity', 169],
          ['E004', 'M', 30, 139, 'Underweight',189],
          ['E005', 'F', 44, 117, 'Underweight',183],
          ['E006', 'M', 36, 121, 'Normal', 80],
          ['E007', 'M', 33, 133, 'Obesity', 166],
          ['E008', 'F', 26, 140, 'Normal', 120],
          ['E009', 'M', 32, 133, 'Normal', 75],
          ['E0010','M', 36, 133, 'Underweight', 40]]

df=pd.DataFrame(data,columns=['EMPID','Gender','Age','Sales','BMI','Income'])
df.head()
label=list(df.columns.values)
print(label)
new_list = list(df['Age'])
plt.pie(new_list[4:],labels=label,autopct='%1.1f%%', shadow=True)
plt.show()

Upvotes: 1

Roushan
Roushan

Reputation: 4440

In labels you need to pass the df['Age'] so it can show the percentage of each age

data=[['E001', 'M', 34, 123,'Normal',350],
      ['E002', 'F', 40, 114, 'Overweight', 450],
      ['E003', 'F', 37, 135, 'Obesity', 169],
      ['E004', 'M', 30, 139, 'Underweight',189],
      ['E005', 'F', 44, 117, 'Underweight',183],
      ['E006', 'M', 36, 121, 'Normal', 80],
      ['E007', 'M', 33, 133, 'Obesity', 166],
      ['E008', 'F', 26, 140, 'Normal', 120],
      ['E009', 'M', 32, 133, 'Normal', 75],
      ['E0010','M', 36, 133, 'Underweight', 40]]

df=pd.DataFrame(data,columns=['EMPID','Gender','Age','Sales','BMI','Income'])

label=list(df.columns.values)
print(label)
plt.pie(df['Age'],labels=df['Age'],autopct='%1.1f%%', shadow=True)
plt.show()

OUTPUT

enter image description here

Upvotes: 1

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