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Remove NaN values from a dataframe without fillna or Interpolate (Python Matplotlib)
To remove NaN values from a dataframe without filter or interpolate, we can take the following steps −
Steps
Set the figure size and adjust the padding between and around the subplots.
Create an array to make a Pandas data frame.
One-dimensional ndarray with axis labels (including time series).
Plotting interpolation, 'index', 'values' − Use the actual numerical values of the index.
To display the figure, use show() method.
Example
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
# Set the figure size
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
# Numpy array
data = np.array([1., 1.2, 0.89, np.NAN,
1.2, np.NAN, 1.89, 2.09,
.78, .67, np.NAN, 1.78,
np.NAN, 1.56, 1.89, 2.78]
)
# Pandas dataframe
df = pd.Series(data)
# Plot the interpolation
df.interpolate('index').plot(marker='o')
# Display the plot
plt.show()Output
It will produce the following output −
Updated on: 01-Feb-2022
1K+ Views
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