From 2417a6b7603524dc5cd30d29b153f91024b9443d Mon Sep 17 00:00:00 2001 From: Mitja Felicijan Date: Wed, 1 Nov 2023 22:54:27 +0100 Subject: Move to Jekyll --- ...23-08-01-make-b-w-svg-charts-with-matplotlib.md | 70 ---------------------- 1 file changed, 70 deletions(-) delete mode 100644 content/notes/2023-08-01-make-b-w-svg-charts-with-matplotlib.md (limited to 'content/notes/2023-08-01-make-b-w-svg-charts-with-matplotlib.md') diff --git a/content/notes/2023-08-01-make-b-w-svg-charts-with-matplotlib.md b/content/notes/2023-08-01-make-b-w-svg-charts-with-matplotlib.md deleted file mode 100644 index 51e85ec..0000000 --- a/content/notes/2023-08-01-make-b-w-svg-charts-with-matplotlib.md +++ /dev/null @@ -1,70 +0,0 @@ ---- -title: "Make B/W SVG charts with matplotlib" -url: make-b-w-svg-charts-with-matplotlib.html -date: 2023-08-01T17:04:10+02:00 -type: note -draft: false ---- - -Install pip requirements. - -```sh -pip install matplotlib -pip install pandas -``` - -Example of data being used. - -```text -Epoch,Connect (NLB),Processing (NLB),Waiting (NLB),Total (NLB),Connect (ALB),Processing (ALB),Waiting (ALB),Total (ALB) -1,57.7,315.7,309.4,321.6,9,104.4,98.3,105.7 -2,121.9,114.4,100.3,176.9,5.8,99.1,97.1,101.1 -3,5.3,229.4,231.2,231.4,14.2,83,69.4,87.9 -4,4.2,134.5,112.2,135.3,5.3,132.4,105.5,134.1 -5,5.8,247.4,246.8,248.1,6,74.3,70.2,75.5 -6,9.9,122.9,100.6,122.7,7.5,241.1,79.3,242.3 -7,6.1,170.2,106.4,170.5,7.2,382.4,375.1,383.8 -8,6.6,194.3,201.4,195.5,7.1,130.9,104.8,132.6 -9,6.4,146.1,122.3,147.7,9.4,95.6,74,96.4 -``` - -In the code you can use `df` as dataframes and use the headers like `df["Epoch"]`. -This is how you get a column data with pandas. - -The Python code responsible for generating a chart: - -```python -import csv -import sys - -import matplotlib.pyplot as plt -import pandas as pd - -# Read the data -df = pd.read_csv("data.csv") - -# Settings -plt.title("Connect median NLB vs ALB") -plt.tight_layout(pad=2) -fig = plt.gcf() -fig.set_size_inches(10, 4) - -# Plotting -plt.plot(df["Epoch"], df["Connect (ALB)"], label = "ALB", color="black", linestyle="-") -plt.plot(df["Epoch"], df["Connect (NLB)"], label = "NLB", color="black", linestyle="--") - -# Adding x and y axis labels -plt.xlabel("Epoch", fontstyle="italic") -plt.ylabel("Median value (ms)", fontstyle="italic") - -# Legend -legend = plt.legend() -legend.get_frame().set_linewidth(0) - -# Export as SVG -plt.savefig("plot.svg", format="svg") -``` - -![SVG Chart](/notes/plot.svg) - -The image above is SVG and you can zoom in and out and check that the image is vector. -- cgit v1.2.3