CoCalc -- oss-stats.ipynb

Path: oss2019 / notebooks / views / in-dev / oss-stats.ipynb

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Kernel: Python 3

OSS Stats

This notebook shows a number of OSS related stats

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%matplotlib inline

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df = pd.DataFrame(hugo.participants_metadatas())

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df_plot = df.groupby(['company','status']).size().round().unstack().fillna(0)
df_plot.plot(kind='barh',figsize=(10,10),stacked=True, table=False)

<matplotlib.axes._subplots.AxesSubplot at 0x7feef2b11e80>

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df['status'].value_counts().plot()

<matplotlib.axes._subplots.AxesSubplot at 0x7f09c0ca7da0>

In [4]:

df['status'].value_counts().plot.pie()

<matplotlib.axes._subplots.AxesSubplot at 0x7feef0637d68>

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