Create a Grouped Bar Chart | Bar Charts
Visualization in Python with matplotlib

# Create a Grouped Bar Chart

Note

To build 2 columns, we need to set `x - width/2` as the first parameter with the first `.bar()` call, and `x + width/2` for the second. If we want to build three columns, we can use the following approach: `x - width`, `x`, and `x + width`.

1. Save data for `'MUMBAI CITY'` in the `mumbai` variable and all unique values from the `'Month'` column in the `months` variable.
2. Set `width` variable value to `0.3`.
3. Set proper first arguments according to the approach from the theory (displayed above). With the last `.bar()` function call display the `mumbai` data. Set `label` to `'Mumbai'`.
4. Set `months` as x ticks labels.

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Section 2. Chapter 6

Course Content

Visualization in Python with matplotlib

# Create a Grouped Bar Chart

Note

To build 2 columns, we need to set `x - width/2` as the first parameter with the first `.bar()` call, and `x + width/2` for the second. If we want to build three columns, we can use the following approach: `x - width`, `x`, and `x + width`.

1. Save data for `'MUMBAI CITY'` in the `mumbai` variable and all unique values from the `'Month'` column in the `months` variable.
2. Set `width` variable value to `0.3`.
3. Set proper first arguments according to the approach from the theory (displayed above). With the last `.bar()` function call display the `mumbai` data. Set `label` to `'Mumbai'`.
4. Set `months` as x ticks labels.