How to convert time zone from one time series to another in pandas?
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# How to convert time zone from one time series to another in pandas?

This recipe helps you convert time zone from one time series to another in pandas

## Recipe Objective

Suppose we are interested in converting DatetimeIndex from one time zone to another. Pandas has everything packed up for you.

So this recipe is a short example on How to convert time zone from one time series to another in pandas. Let's get started.

## Step 1 - Import the library

``` import pandas as pd ```

Let's pause and look at these imports. Pandas is generally used for performing mathematical operation and preferably over arrays.

## Step 2 - Setup the Data

``` df = pd.date_range(start='2020-01-01 09:00', freq='H', periods=3, tz='Asia/Kolkata') print(df) ```

Here we have created a simple dataframe with some random values and time zone to Asia/Kolkata.

## Step 3 - Coverting time zone

``` print(df.tz_convert('US/Central')) ```

Using tz_covert, we have coverted time zone to US/Central.

## Step 4 - Let's look at our dataset now

Once we run the above code snippet, we will see:

```Scroll down the ipython to visualize the results.
```

Difference in time zones is quite visible.

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