importseabornassnssns.barplot(y=df['折扣'].value_counts().values,x=df['折扣'].value_counts().index)<AxesSubplot:> 这是因为 value_counts 函数返回的是一个 Series 结果,而 pandas 直接画图之前,无法自动地对索引先进行排序,而 seaborn 则可以。 如果想坚持使用pandas(背后是matplotlib)画图,那么可以先...
Pandas value_counts() 可用于使用 bin 参数将连续数据分入离散区间。与 Pandas cut() 函数类似,我们可以将整数或列表传递给 bin 参数。 当整数传递给 bin 时,该函数会将连续值离散化为大小相等的 bin,例如: >>> df['Fare'].value_counts(bins=3) (-0.513, 170.776] 871 (170.776, 341.553] 17 (341.55...
1、# 统计步长次数,把步长出现次数大于2的统计一下出现的次数 df_total=nperOK["step"].value_counts() df_ok=df_total[df_total>2] ## df_ok的值是 4.0 6 9.0 4 0.0 3 3.0 31.0 3 2、## 取索引的方法 print(df_ok.index) 输出: Float64Index([4.0, 9.0, 0.0, 3.0, 1.0],dtype='float64...
# Take a random sample of the appropriate size for each color
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more - REGR: groupby.value_counts with all NA values · pandas-dev/pandas@995d1c8
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more - Added a new parameter to value_counts to keep both counts and normalized valu
# Take a random sample of the appropriate size for each color
REGR: groupby.value_counts with all NA values #59999 Open rhshadrach wants to merge 2 commits into pandas-dev:main from rhshadrach:bug_groupby_value_counts_na+23 −1 Conversation 0 Commits 2 Checks 46 Files changed 2 Conversation Member rhshadrach commented Oct 7, 2024 closes #597...
rhshadrach opened #59999 rhshadrach:bug_groupby_value_counts_na Status Skipped Total duration 4s Artifacts – package-checks.yml on: pull_request Matrix: conda_forge_recipe 1 job completed Show all jobs Matrix: pip 1 job completed Show all jobs Oh hello! Nice to see you. Made with ...