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Performing T-Test in Pandas

Author:JIYIK Last Updated:2025/05/01 Views:

This tutorial will discuss how to find T-test values ​​in Pandas.


Steps to perform T-test in Pandas

Following are the steps to perform T-test in Pandas.

Import related libraries

We must import the Pandas library and from scipy.stats ttest_indto get started.

import pandas as pd
from scipy.stats import ttest_ind

Creating a Pandas DataFrame

Let us create a sample DataFrame to perform T-test operation on the same DataFrame.

data = {
    "Category": [
        "type2",
        "type1",
        "type2",
        "type1",
        "type2",
        "type1",
        "type2",
        "type1",
        "type1",
        "type1",
        "type2",
    ],
    "values": [1, 2, 3, 1, 2, 3, 1, 2, 3, 5, 1],
}
df = pd.DataFrame(data)

We created a DataFrame with a categorical column containing two categories and assigned a value to each category instance.

Let's view our DataFrame below.

print(df)

Output:

   Category  values
0     type2       1
1     type1       2
2     type2       3
3     type1       1
4     type2       2
5     type1       3
6     type2       1
7     type1       2
8     type1       3
9     type1       5
10    type2       1

We will now create a separate DataFrame for these two category types using the following code. This step facilitates the T-test finding process.

type1 = my_data[my_data["Category"] == "type1"]
type2 = my_data[my_data["Category"] == "type2"]

Getting T-Test Values ​​in Pandas

We will now find the T-test results and ttest_ind()store them in a variable using the function. We use this function in the following way.

res = ttest_ind(type1["values"], type2["values"])

In the above code, we passed the DataFrame as an argument to the function and we got the T-test results, including a tuple with the t-statistic and the p-value.

Now let's print resthe variable to see the result.

print(res)

Output:

Ttest_indResult(statistic=1.4927289925706944, pvalue=0.16970867501294376)

In the above output, we have found the T-test value with t-statistic and p-value. Hence, we can successfully find the T-test value in Pandas by the above method.

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