PYTHON编程导论群【提问与解惑】数据统计

本文链接：https://blog.youkuaiyun.com/Datawhale/article/details/81187823

本博客通过使用Matplotlib和Seaborn库，对两周内提问者和贡献者的数据进行了可视化分析，展示了不同人员的问题数量和贡献度。第一周，Jane以5个问题领先，而吕明智以9个贡献项占据榜首。第二周，Aris和吕明智继续保持活跃，而范晶晶的贡献显著提升。

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第一周

# 第一周
import matplotlib.pyplot as plt
import seaborn as sns
plt.rcParams['font.family'] = ['SimHei']  # Microsoft YaHei
plt.rcParams['axes.unicode_minus'] = False 
%matplotlib inline

thinker = ['Jane', '许木', 'SY', 'Aris','吕明智','范晶晶','林青轩']
questions_quantity =[5,1,1,5,2,2,1]
contributor=['Jane','SY','Aris','吕明智','范晶晶']
contribution_quantity =[2,2,3,9,6]

# plot
fig, (ax1,ax2) = plt.subplots(1,2,sharex=False,sharey = False,figsize=(11,5))

sns.barplot(thinker, questions_quantity, ax = ax1)
sns.barplot(contributor, contribution_quantity, ax = ax2)

ax1.set_title('thinker')
ax2.set_title('contributor')
ax1.set_ylabel('questions_quantities')
ax2.set_ylabel('contribution_quantities')
fig.savefig("data_count.png", dpi = 75)

第二周

thinker = ['Aris','吕明智','Jane','范晶晶','林青轩']
questions_quantity =[1,2,12,2,3]
contributor=['SY','吕明智','范晶晶']
contribution_quantity =[1,7,12]

# plot
fig, (ax1,ax2) = plt.subplots(1,2,sharex=False,sharey = False,figsize=(11,5))

sns.barplot(thinker, questions_quantity, ax = ax1)
sns.barplot(contributor, contribution_quantity, ax = ax2)

ax1.set_title('thinker')
ax2.set_title('contributor')
ax1.set_ylabel('questions_quantities')
ax2.set_ylabel('contribution_quantities')

这里写图片描述