Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error **ValueError: Shape of passed values is (1, 6), indices imply (6, 6)** **in python**. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

Table of Contents

## How ValueError: Shape of passed values is (1, 6), indices imply (6, 6) Error Occurs?

Today I get the following error **ValueError: Shape of passed values is (1, 6), indices imply (6, 6)** **in python**.

## How To Solve ValueError: Shape of passed values is (1, 6), indices imply (6, 6) Error ?

**How To Solve ValueError: Shape of passed values is (1, 6), indices imply (6, 6) Error ?**To Solve ValueError: Shape of passed values is (1, 6), indices imply (6, 6) Error I was having similar issues with making a dataframe from regressor coefficients (regressor.coeff_), and brackets gave another error asking for 2-d input.

**ValueError: Shape of passed values is (1, 6), indices imply (6, 6)**To Solve ValueError: Shape of passed values is (1, 6), indices imply (6, 6) Error I was having similar issues with making a dataframe from regressor coefficients (regressor.coeff_), and brackets gave another error asking for 2-d input.

## Solution 1

Simply change

col = pd.DataFrame(data, columns=['runs','balls', 'wickets', 'ground_average', 'pp_balls_left', 'total_overs'])

for

col = pd.DataFrame([data], columns=['runs','balls', 'wickets', 'ground_average', 'pp_balls_left', 'total_overs'])

You want `[data]`

for `pandas`

to understand they’re rows.

Simple illustration:

a = [1, 2, 3] >>> pd.DataFrame(a) 0 0 1 1 2 2 3 >>> pd.DataFrame([a]) 0 1 2 0 1 2 3

## Solution 2

I was having similar issues with making a dataframe from regressor coefficients (regressor.coeff_), and brackets gave another error asking for 2-d input. If you get this error, try appending the input array with [0] so it pulls the values out. ex: data[0]

**Summery**

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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