Make a graph with error bar

Python Help
1

import matplotlib.pyplot as plt
import numpy as np

Data

data = [13.42466667, 15.32733333, 14.09133333, None, 24.31, 24.96, 7.835555556, 4.433333333, 9.866666667]

X-axis positions

x = np.arange(len(data))

Plot

plt.figure(figsize=(10,6))
plt.bar(x, [d if d is not None else 0 for d in data], color=‘skyblue’)

Add empty space for missing data

for i, val in enumerate(data):
if val is None:
plt.text(i, 0.5, ’ ', ha=‘center’) # blank space

plt.xticks(x)
plt.ylabel(‘Values’)
plt.title(‘Bar Graph with Empty Space for Missing Data’)
plt.show()

2

Please be sure to insert your test script per the following.

format_code
format_code454×506 32 KB

3

Usually it’s nice to have an explanation of what you want to do rather than just a script to complete :).

The matplotlib documentation has excellent examples for these kind of graphs, both box-points with errors and line graphs with errors.

Also, as general tip, matplotlib can take numpy arrays with floats and NaN values and interpret the NaN as “missing data“ and not draw the value, so if you use that you don’t need to do the [d if d is not None else 0] tricks.