Pandas ValueError Arrays Must be All Same Length

Learn about the Pandas ValueError Arrays Must be All Same Length and how to fix it?
Submitted by Pranit Sharma, on September 14, 2022

Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consist of rows, columns, and data.

ValueError Arrays Must be All Same Length

Whenever we create a DataFrame, we either create a dictionary or we create a Series.

We sometimes observe this error that pandas ValueError Arrays Must be All Same Length. This error occurs when we do not pass the equal values for a key or equal elements in a Series.

Let us see how this error occurs.

Python code to demonstrate how "ValueError Arrays Must be All Same Length occurs"

# Importing pandas package
import pandas as pd

# Creating a dictionary with 
# unequal elements
d = {
    'A':[1,2,3],
    'B':[4,5,6,7],
    'C':[8]
}

# Creating a DataFrame
df = pd.DataFrame(d)

Output:

Example 1: ValueError Arrays Must be All Same Length

To fix Pandas "ValueError Arrays Must be All Same Length" - Pass equal values for all keys

# Importing pandas package
import pandas as pd

# Creating a dictionary with 
# equal elements
d = {
    'A':[1,2,3],
    'B':[4,5,6,],
    'C':[7,8,9]
}

# Creating a DataFrame
df = pd.DataFrame(d)

# Display DataFrame
print("Created DataFrame:\n",df)

Output:

Example 2: ValueError Arrays Must be All Same Length

Python Pandas Programs »



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