Pandas plot smooth line

Pandas Plot Smooth Line

Pandas is a popular data manipulation library in Python. It provides a high-level interface for data analysis and visualization. To plot a smooth line with Pandas, you can use the built-in plotting functions along with the NumPy library.

Example:

Let’s start by importing the necessary libraries:

<script type="text/python">
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Generate some random data
np.random.seed(0)
x = np.linspace(0, 10, 100)
y = np.sin(x) + np.random.normal(0, 0.1, 100)

# Create a pandas DataFrame
data = pd.DataFrame({'x': x, 'y': y})

# Plot the data with a smooth line
data.plot('x', 'y', kind='line', smooth=True)

# Display the plot
plt.show()
</script>

In this example, we generate some random data points using NumPy’s `linspace` and `sin` functions. We then add some random noise to the `y` values using `np.random.normal`. Next, we create a pandas DataFrame with the generated data, where the ‘x’ column represents the x-coordinates and the ‘y’ column represents the y-coordinates.

To plot the data with a smooth line, we use the `data.plot` function and specify `kind=’line’`. The `smooth=True` parameter enables smoothing of the line. Finally, we use `plt.show()` to display the plot.

By running this code, you should be able to see a smooth line plot of the generated data.