Created
July 9, 2022 00:39
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Analyze scorecards data and create a histogram
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import matplotlib.pyplot as plt | |
import pandas as pd | |
df = pd.read_csv("csv/FILENAE.csv") | |
# create plot | |
fig, ax = plt.subplots(figsize=(6,4)) # size of sub-figures | |
n, _, _ = plt.hist(df.score, bins=[i/4 for i in range(0, 40)]) | |
ax.bar(x=list(range(0, 1, 10)), height=n) | |
ax.set_title("Security Practice Scores for X Foundation GitHub Projects") | |
# set y axis range for each subplot | |
ax.set_ylim([0, 100]) # Will need to change depending on actual data | |
ax.set_xlim([1, 10]) | |
fig.tight_layout() | |
plt.show() |
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